NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
Grant/Project Number

Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

Collection - Use Existing Experiment

To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.

Select	Experiment Id	Experiment Name	Experiment Type	Created On

24	HI-NGS_R1	Omics	02/16/2011
475	MB1-10 (CHOP)	Omics	06/07/2016
490	Illumina Infinium PsychArray BeadChip Assay	Omics	07/07/2016
501	PharmacoBOLD Resting State	fMRI	07/27/2016
506	PVPREF	Omics	08/05/2016
509	ABC-CT Resting v2	EEG	08/18/2016
13	Comparison of FI expression in Autistic and Neurotypical Homo Sapiens	Omics	12/28/2010
18	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	01/06/2011
22	Stitching PCR Sequencing	Omics	02/14/2011
26	ASD_Methylation	Omics	03/01/2011
29	Microarray family 03 (father, mother, sibling)	Omics	03/24/2011
37	Standard paired-end sequencing of BCRs	Omics	04/19/2011
38	Illumina Mate-Pair BCR sequencing	Omics	04/19/2011
39	Custom Jumping Libraries	Omics	04/19/2011
40	Custom CapBP	Omics	04/19/2011
41	Immunofluorescence	Omics	05/11/2011
43	Autism brain sample genotyping, Illumina	Omics	05/16/2011
47	ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 System	Omics	08/01/2011
53	AGRE Omni1-quad	Omics	10/11/2011
59	AGP genotyping	Omics	04/03/2012
60	Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controls	Omics	06/23/2012
63	Microemulsion PCR and Targeted Resequencing for Variant Detection in ASD	Omics	07/20/2012
76	Whole Genome Sequencing in Autism Families	Omics	01/03/2013
519	Resting	fMRI	11/08/2016
90	Genotyped IAN Samples	Omics	07/09/2013
91	NJLAGS Axiom Genotyping Array	Omics	07/16/2013
93	AGP genotyping (CNV)	Omics	09/06/2013
106	Longitudinal Sleep Study. H20 200. Channel set 2	EEG	11/07/2013
107	Longitudinal Sleep Study. H20 200. Channel set 3	EEG	11/07/2013
108	Longitudinal Sleep Study. AURA 200	EEG	11/07/2013
105	Longitudinal Sleep Study. H20 200. Channel set 1	EEG	11/07/2013
109	Longitudinal Sleep Study. AURA 400	EEG	11/07/2013
116	Gene Expression Analysis WG-6	Omics	01/07/2014
131	Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1	Eye Tracking	02/27/2014
132	Jeste Lab UCLA ACEii: Animacy - Project 1	Eye Tracking	02/27/2014
133	Jeste Lab UCLA ACEii: Mom Stranger - Project 2	Eye Tracking	02/27/2014
134	Jeste Lab UCLA ACEii: Face Emotion - Project 3	Eye Tracking	02/27/2014
145	AGRE/FMR1_Illumina.JHU	Omics	04/14/2014
146	AGRE/MECP2_Sanger.JHU	Omics	04/14/2014
147	AGRE/MECP2_Junior.JHU	Omics	04/14/2014
151	Candidate Gene Identification in familial Autism	Omics	06/09/2014
152	NJLAGS Whole Genome Sequencing	Omics	07/01/2014
154	Math Autism Study - Vinod Menon	fMRI	07/15/2014
155	Resting	fMRI	07/25/2014
156	Speech	fMRI	07/25/2014
159	Emotion	fMRI	07/25/2014
160	syllable contrast	EEG	07/29/2014
167	School-age naturalistic stimuli	Eye Tracking	09/19/2014
44	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	06/27/2011
45	Exome Sequencing of 20 Sporadic Cases of Autism Spectrum Disorder	Omics	07/15/2011

Collection - Add Experiment

Add Supporting Documentation

Funding Source:
URL:

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

Use/Modify Existing Data Structure

Request New Data Structure

Targeted Enrollment:

Initial Submission Date:

Initial Share Date:

Data Structure Search:

Data Structures:

Submit

Request Submission Exemption

Not Eligible

The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

[CMS] Error

[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

You have requested to move the sharing dates for the following assessments:

Data Expected Item	Original Sharing Date	New Sharing Date

Please provide a reason for this change, which will be sent to the Program Officers listed within this collection:

Explanation must be between 20 and 200 characters in length.

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UW ACE Extended Family Study #1654

General
Experiments (6)
Shared Data
Publications (77)
Data Expected (47)
Associated Studies (12)

Collection Title	Collection Investigators	Collection Description
Collection Title:	UW ACE Extended Family Study
Collection Investigators:	Bryan King
Collection Description:	University of Washington ACE projects
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	07/15/2010
NIH Research Initiative:	Autism Centers of Excellence (ACE)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$10,998,234.00
Subjects Shared:	785

{"values":[["STR Genotyping: PCR",154]]}

{"values":[]}

{"values":[["Typical Control",20],["Autism Spectrum Severely Affected",110],["Not Defined",580],["Sibling Control",186],["Autism Spectrum Mildly Affected",19],["Autism Spectrum Affected",98],["Neurological Control",372]]}

Loading Chart...

Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
P50HD055782-01	UW Autism Center of Excellence	08/06/2007	07/31/2013	1514	675	UNIVERSITY OF WASHINGTON	$10,998,234.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

Fields available for edit on the top portion of the page include:

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

Pre-Enrollment: The default entry made when the NDA Collection is created.
Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
- The Data Expected Subphase indicates that NDA expects more data will be submitted
- The Closeout Subphase indicates the data submission is complete.
- The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?

During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
How do I know when a NDA Collection has been created?

When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
Is a single grant number ever associated with more than one Collection?

The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
Why is there sometimes more than one grant included in a Collection?

In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

Administrator Privilege

A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
Collection Owner

Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
Collection Phase
The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
- Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
- Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
- Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
- Funding Completed: A grant/project has reached the project end date.
Collection Title

An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
Grant

Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
Supporting Documentation

Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
NIH Research Initiative

NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
Permission Group

Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
Planned Enrollment

Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
Actual Enrollment

Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
NDA Collection

A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
Data Use Limitations

Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
Total Subjects Shared

The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
73	STR genome scan-1	11/01/2012	Approved	Omics
74	SNP genome scan-1	11/01/2012	Approved	Omics
86	STR genome scan-2	06/07/2013	Approved	Omics
87	STR genome scan-3	06/07/2013	Approved	Omics
88	SNP genome scan-2	06/07/2013	Approved	Omics
89	SNP genome scan-3	06/07/2013	Approved	Omics

helpcenter.collection.experiments-tab

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

Can an Experiment be associated with more than one Collection?
Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:
1. Copy the experiment with intent for modifications.
2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

Experiment Status

An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
Experiment ID

The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
Aberrant Behavior Checklist (ABC) - Community	Clinical Assessments	136
Adolescent Symptom Inventory	Clinical Assessments	101
Autism Diagnostic Interview, Revised (ADI-R)	Clinical Assessments	40
Autism Diagnostic Observation Schedule (ADOS) - Module 4	Clinical Assessments	6
Autism Diagnostic Observation Schedule (ADOS)- Module 1	Clinical Assessments	20
Autism Diagnostic Observation Schedule (ADOS)- Module 2	Clinical Assessments	19
Autism Diagnostic Observation Schedule (ADOS)- Module 3	Clinical Assessments	97
Autism Diagnostic Observation Schedule (ADOS)- Module 4	Clinical Assessments	3
Brief Symptom Inventory	Clinical Assessments	109
Broader Phenotype Autism Symptom Scale	Clinical Assessments	143
CHARGE Medical History	Clinical Assessments	115
Children's Communication Checklist - 2	Clinical Assessments	47
Communication Checklist - Adult	Clinical Assessments	163
Conners 3	Clinical Assessments	97
DAS-II: Differential Ability Scales 2nd Ed. School Age	Clinical Assessments	70
DAS-II:Differential Ability Scales 2nd Ed. Early Years	Clinical Assessments	39
Dyadic Adjustment Scale	Clinical Assessments	217
Early Childhood Behavior Questionnaire	Clinical Assessments	52
Early Development Interview	Clinical Assessments	84
Family History Interview	Clinical Assessments	125
Genomics Sample	Genomics	154
Genomics Subject	Genomics	303
Life Events Survey	Clinical Assessments	178
Maternal Behavior Rating Scale (MBRS)	Clinical Assessments	79
Mullen Scales of Early Learning	Clinical Assessments	192
NCAST Teaching Scale	Clinical Assessments	76
Parent Sense of Competence	Clinical Assessments	120
Pediatric Sleep Questionnaire	Clinical Assessments	79
Repetitive Behavior Scale - Revised (RBS-R)	Clinical Assessments	198
Sensory Experiences Questionnaire	Clinical Assessments	16
Social Competence Questionnaire (ComQ)	Clinical Assessments	249
Social Responsiveness Scale (SRS)	Clinical Assessments	141
Social Responsiveness Scale (SRS) - Adult/Self Version	Clinical Assessments	143
Teacher Report Form (Achenbach)	Clinical Assessments	59
Vineland-II - Survey Form (2005)	Clinical Assessments	363
WechslerIQ_ShortForm	Clinical Assessments	129

helpcenter.collection.shared-data-tab

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?

To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
Can I get a supplement to share data from a completed research project?

Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
Can I get a supplement to share data from a research project that is still ongoing?

Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Type

A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
Shared

The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Publications

Publications relevant to NDA data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed ID	Study	Title	Journal	Authors	Date	Status
39011552	Create Study	Familial Recurrence of Autism: Updates From the Baby Siblings Research Consortium.	Pediatrics	Ozonoff, Sally; Young, Gregory S; Bradshaw, Jessica; Charman, Tony; Chawarska, Katarzyna; Iverson, Jana M; Klaiman, Cheryl; Landa, Rebecca J; McDonald, Nicole; Messinger, Daniel; Schmidt, Rebecca J; Wilkinson, Carol L; Zwaigenbaum, Lonnie	August 1, 2024	Not Determined
36943905	Create Study	Neural mechanisms of language development in infancy.	Infancy : the official journal of the International Society on Infant Studies	Huberty, Scott; O'Reilly, Christian; Carter Leno, Virginia; Steiman, Mandy; Webb, Sara; Elsabbagh, Mayada; BASIS Team	January 1, 2023	Not Determined
35652157	Create Study	Early predictors of language skills at 3 years of age vary based on diagnostic outcome: A baby siblings research consortium study.	Autism research : official journal of the International Society for Autism Research	Pecukonis, Meredith; Young, Gregory S; Brian, Jessica; Charman, Tony; Chawarska, Katarzyna; Elsabbagh, Mayada; Iverson, Jana M; Jeste, Shafali; Landa, Rebecca; Messinger, Daniel S; Schwichtenberg, A J; Webb, Sara Jane; Zwaigenbaum, Lonnie; Tager-Flusberg, Helen	July 1, 2022	Not Determined
33955195	Create Study	Association between spectral electroencephalography power and autism risk and diagnosis in early development.	Autism research : official journal of the International Society for Autism Research	Huberty, Scott; Carter Leno, Virginia; van Noordt, Stefon J R; Bedford, Rachael; Pickles, Andrew; Desjardins, James A; Webb, Sara Jane; BASIS Team; Elsabbagh, Mayada	July 1, 2021	Not Determined
33714056	Create Study	12-Month peak alpha frequency is a correlate but not a longitudinal predictor of non-verbal cognitive abilities in infants at low and high risk for autism spectrum disorder.	Developmental cognitive neuroscience	Carter Leno, Virginia; Pickles, Andrew; van Noordt, Stefon; Huberty, Scott; Desjardins, James; Webb, Sara Jane; Elsabbagh, Mayada; BASIS Team	April 1, 2021	Not Determined
32641754	Create Study	Infant EEG theta modulation predicts childhood intelligence.	Scientific reports	Jones, E J H; Goodwin, A; Orekhova, E; Charman, T; Dawson, G; Webb, S J; Johnson, M H	July 2020	Not Determined
32380941	Create Study	EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions.	Molecular medicine (Cambridge, Mass.)	van Noordt, Stefon; Desjardins, James A; Huberty, Scott; Abou-Abbas, Lina; Webb, Sara Jane; Levin, April R; Segalowitz, Sidney J; Evans, Alan C; Elsabbagh, Mayada	May 7, 2020	Not Determined
31589284	Create Study	Developmental Trajectories of Infants With Multiplex Family Risk for Autism: A Baby Siblings Research Consortium Study.	JAMA neurology	McDonald, Nicole M; Senturk, Damla; Scheffler, Aaron; Brian, Jessica A; Carver, Leslie J; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Hertz-Piccioto, Irva; Jones, Emily J H; Klin, Ami; Landa, Rebecca; Messinger, Daniel S; Ozonoff, Sally; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Young, Gregory; Zwaigenbaum, Lonnie; Jeste, Shafali S	January 2020	Not Determined
28457745	Create Study	Sensory hypersensitivity predicts enhanced attention capture by faces in the early development of ASD.	Developmental cognitive neuroscience	Jones, E J H; Dawson, G; Webb, S J	January 2018	Not Determined
28244271	Create Study	Parent-delivered early intervention in infants at risk for ASD: Effects on electrophysiological and habituation measures of social attention.	Autism research : official journal of the International Society for Autism Research	Jones, Emily J H; Dawson, Geraldine; Kelly, Jean; Estes, Annette; Webb, Sara Jane	May 2017	Not Determined
27940149	Create Study	Close genetic relationships between a spousal pair with autism-affected children and high minor allele content in cases in autism-associated SNPs.	Genomics	Zhu Z, Lu X, Yuan D, Huang S	January 2017	Not Determined
27861851	Create Study	Infant social attention: an endophenotype of ASD-related traits?	Journal of child psychology and psychiatry, and allied disciplines	Jones, Emily J H; Venema, Kaitlin; Earl, Rachel K; Lowy, Rachel; Webb, Sara J	March 2017	Not Determined
27582229	Create Study	Severity of ASD symptoms and their correlation with the presence of copy number variations and exposure to first trimester ultrasound.	Autism research : official journal of the International Society for Autism Research	Webb, Sara Jane; Garrison, Michelle M; Bernier, Raphael; McClintic, Abbi M; King, Bryan H; Mourad, Pierre D	March 2017	Not Determined
27417857	Create Study	Non-ASD outcomes at 36 months in siblings at familial risk for autism spectrum disorder (ASD): A baby siblings research consortium (BSRC) study.	Autism research : official journal of the International Society for Autism Research	Charman, Tony; Young, Gregory S; Brian, Jessica; Carter, Alice; Carver, Leslie J; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Elsabbagh, Mayada; Georgiades, Stelios; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Jones, Emily J; Landa, Rebecca; Macari, Suzanne; Messinger, Daniel S; Nelson, Charles A; Ozonoff, Sally; Saulnier, Celine; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Yirmiya, Nurit; Zwaigenbaum, Lonnie	January 2017	Not Determined
27358719	Create Study	Commentary: sex difference differences? A reply to Constantino.	Molecular autism	Messinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, Lonnie	2016	Not Relevant
27178863	Create Study	Early event-related potentials to emotional faces differ for adults with autism spectrum disorder and by serotonin transporter genotype.	Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology	Faja, Susan; Dawson, Geraldine; Aylward, Elizabeth; Wijsman, Ellen M; Webb, Sara Jane	June 2016	Not Determined
27055415	Create Study	The Relationship Between Early Neural Responses to Emotional Faces at Age 3 and Later Autism and Anxiety Symptoms in Adolescents with Autism.	Journal of autism and developmental disorders	Neuhaus, Emily; Jones, Emily J H; Barnes, Karen; Sterling, Lindsey; Estes, Annette; Munson, Jeff; Dawson, Geraldine; Webb, Sara J	July 2016	Not Determined
26981158	Create Study	Reduced engagement with social stimuli in 6-month-old infants with later autism spectrum disorder: a longitudinal prospective study of infants at high familial risk.	Journal of neurodevelopmental disorders	Jones, E J H; Venema, K; Earl, R; Lowy, R; Barnes, K; Estes, A; Dawson, G; Webb, S J	2016	Not Determined
26666502	Create Study	Subregional differences in intrinsic amygdala hyperconnectivity and hypoconnectivity in autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Kleinhans, Natalia M; Reiter, Maya A; Neuhaus, Emily; Pauley, Greg; Martin, Nathalie; Dager, Stephen; Estes, Annette	July 1, 2016	Not Determined
26219834	Create Study	Developmental changes in infant brain activity during naturalistic social experiences.	Developmental psychobiology	Jones, Emily J H; Venema, Kaitlin; Lowy, Rachel; Earl, Rachel K; Webb, Sara Jane	November 2015	Not Determined
26045943	Create Study	Early sex differences are not autism-specific: A Baby Siblings Research Consortium (BSRC) study.	Molecular autism	Messinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, Lonnie	January 2015	Not Determined
25409314	Create Study	Protein interaction networks reveal novel autism risk genes within GWAS statistical noise.	PloS one	Correia, Catarina; Oliveira, Guiomar; Vicente, Astrid M	2014	Not Determined
25038753	Study (346)	Most genetic risk for autism resides with common variation.	Nature genetics	Gaugler, Trent; Klei, Lambertus; Sanders, Stephan J; Bodea, Corneliu A; Goldberg, Arthur P; Lee, Ann B; Mahajan, Milind; Manaa, Dina; Pawitan, Yudi; Reichert, Jennifer; Ripke, Stephan; Sandin, Sven; Sklar, Pamela; Svantesson, Oscar; Reichenberg, Abraham; Hultman, Christina M; Devlin, Bernie; Roeder, Kathryn; Buxbaum, Joseph D	August 2014	Relevant
24600472	Create Study	A scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism.	Frontiers in genetics	Carayol, Jérôme; Schellenberg, Gerard D; Dombroski, Beth; Amiet, Claire; Génin, Bérengère; Fontaine, Karine; Rousseau, Francis; Vazart, Céline; Cohen, David; Frazier, Thomas W; Hardan, Antonio Y; Dawson, Geraldine; Rio Frio, Thomas	January 2014	Not Determined
24441420	Create Study	Update on diagnostic classification in autism.	Current opinion in psychiatry	King, Bryan H; Navot, Noa; Bernier, Raphael; Webb, Sara Jane	March 2014	Not Determined
24410019	Create Study	The motivation for very early intervention for infants at high risk for autism spectrum disorders.	International journal of speech-language pathology	Webb, Sara Jane; Jones, Emily J H; Kelly, Jean; Dawson, Geraldine	February 2014	Not Relevant
23975145	Create Study	Guidelines and best practices for electrophysiological data collection, analysis and reporting in autism.	Journal of autism and developmental disorders	Webb, Sara Jane; Bernier, Raphael; Henderson, Heather A; Johnson, Mark H; Jones, Emily J H; Lerner, Matthew D; McPartland, James C; Nelson, Charles A; Rojas, Donald C; Townsend, Jeanne; Westerfield, Marissa	February 2015	Not Relevant
23933821	Create Study	Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.	Nature genetics	Cross-Disorder Group of the Psychiatric Genomics Consortium; Lee, S Hong; Ripke, Stephan; Neale, Benjamin M; Faraone, Stephen V; Purcell, Shaun M; Perlis, Roy H; Mowry, Bryan J; Thapar, Anita; Goddard, Michael E; Witte, John S; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E; Asherson, Philip; Azevedo, Maria H; Backlund, Lena; Badner, Judith A; Bailey, Anthony J; Banaschewski, Tobias; Barchas, Jack D; Barnes, Michael R; Barrett, Thomas B; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayés, Mònica; Bellivier, Frank; Bergen, Sarah E; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B; Black, Donald W; Blackwood, Douglas H R; Bloss, Cinnamon S; Boehnke, Michael; Boomsma, Dorret I; Breen, Gerome; Breuer, René; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G; Buitelaar, Jan K; Bunney, William E; Buxbaum, Joseph D; Byerley, William F; Byrne, Enda M; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Cloninger, C Robert; Collier, David A; Cook, Edwin H; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H; Craig, David W; Craig, Ian W; Crosbie, Jennifer; Cuccaro, Michael L; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J; Doyle, Alysa E; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P; Edenberg, Howard J; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E; Ferrier, I Nicol; Flickinger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B; Freitag, Christine M; Friedl, Marion; Frisén, Louise; Gallagher, Louise; Gejman, Pablo V; Georgieva, Lyudmila; Gershon, Elliot S; Geschwind, Daniel H; Giegling, Ina; Gill, Michael; Gordon, Scott D; Gordon-Smith, Katherine; Green, Elaine K; Greenwood, Tiffany A; Grice, Dorothy E; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P; Hamshere, Marian L; Hansen, Thomas F; Hartmann, Annette M; Hautzinger, Martin; Heath, Andrew C; Henders, Anjali K; Herms, Stefan; Hickie, Ian B; Hipolito, Maria; Hoefels, Susanne; Holmans, Peter A; Holsboer, Florian; Hoogendijk, Witte J; Hottenga, Jouke-Jan; Hultman, Christina M; Hus, Vanessa; Ingason, Andrés; Ising, Marcus; Jamain, Stéphane; Jones, Edward G; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kähler, Anna K; Kahn, René S; Kandaswamy, Radhika; Keller, Matthew C; Kennedy, James L; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K; Klauck, Sabine M; Klei, Lambertus; Knowles, James A; Kohli, Martin A; Koller, Daniel L; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landén, Mikael; Långström, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B; Leboyer, Marion; Ledbetter, David H; Lee, Phil H; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F; Lewis, Cathryn M; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A; Lin, Dan-Yu; Linszen, Don H; Liu, Chunyu; Lohoff, Falk W; Loo, Sandra K; Lord, Catherine; Lowe, Jennifer K; Lucae, Susanne; MacIntyre, Donald J; Madden, Pamela A F; Maestrini, Elena; Magnusson, Patrik K E; Mahon, Pamela B; Maier, Wolfgang; Malhotra, Anil K; Mane, Shrikant M; Martin, Christa L; Martin, Nicholas G; Mattheisen, Manuel; M (see original citation for additional authors)	September 2013	Not Relevant
23903694	Create Study	Atypical developmental patterns of brain chemistry in children with autism spectrum disorder.	JAMA psychiatry	Corrigan, Neva M; Shaw, Dennis W W; Estes, Annette M; Richards, Todd L; Munson, Jeff; Friedman, Seth D; Dawson, Geraldine; Artru, Alan A; Dager, Stephen R	September 2013	Not Relevant
23830515	Create Study	Intellectual disability is associated with increased runs of homozygosity in simplex autism.	American journal of human genetics	Gamsiz, Ece D; Viscidi, Emma W; Frederick, Abbie M; Nagpal, Shailender; Sanders, Stephan J; Murtha, Michael T; Schmidt, Michael; Simons Simplex Collection Genetics Consortium; Triche, Elizabeth W; Geschwind, Daniel H; State, Matthew W; Istrail, Sorin; Cook Jr, Edwin H; Devlin, Bernie; Morrow, Eric M	July 11, 2013	Not Determined
23734230	Create Study	Brain responses to words in 2-year-olds with autism predict developmental outcomes at age 6.	PloS one	Kuhl, Patricia K; Coffey-Corina, Sharon; Padden, Denise; Munson, Jeffrey; Estes, Annette; Dawson, Geraldine	2013	Not Determined
23622845	Create Study	DSM-5 and autism: kicking the tires and making the grade.	Journal of the American Academy of Child and Adolescent Psychiatry	King BH, Veenstra-Vanderweele J, Lord C	May 2013	Not Relevant
23594493	Create Study	Identification of rare variants from exome sequence in a large pedigree with autism.	Human heredity	Marchani, E E; Chapman, N H; Cheung, C Y K; Ankenman, K; Stanaway, I B; Coon, H H; Nickerson, D; Bernier, R; Brkanac, Z; Wijsman, E M	2012	Not Relevant
23495221	Create Study	Fear-potentiated startle response is unrelated to social or emotional functioning in adolescents with autism spectrum disorders.	Autism research : official journal of the International Society for Autism Research	Sterling, Lindsey; Munson, Jeffrey; Estes, Annette; Murias, Michael; Webb, Sara Jane; King, Bryan; Dawson, Geraldine	October 2013	Not Relevant
23374640	Create Study	Disengagement of visual attention in infancy is associated with emerging autism in toddlerhood.	Biological psychiatry	Elsabbagh, Mayada; Fernandes, Janice; Webb, Sara Jane; Dawson, Geraldine; Charman, Tony; Johnson, Mark H; British Autism Study of Infant Siblings Team	August 1, 2013	Not Determined
23311315	Create Study	Rule learning in autism: the role of reward type and social context.	Developmental neuropsychology	Jones, E J H; Webb, S J; Estes, A; Dawson, G	2013	Not Relevant
23188775	Create Study	MR spectroscopic imaging: principles and recent advances.	Journal of magnetic resonance imaging : JMRI	Posse, Stefan; Otazo, Ricardo; Dager, Stephen R; Alger, Jeffry	June 2013	Not Relevant
23168129	Create Study	The role of the amygdala in the pathophysiology of panic disorder: evidence from neuroimaging studies.	Biology of mood & anxiety disorders	Kim, Jieun E; Dager, Stephen R; Lyoo, In Kyoon	November 2012	Not Determined
23146332	Create Study	Parenting-related stress and psychological distress in mothers of toddlers with autism spectrum disorders.	Brain & development	Estes, Annette; Olson, Erin; Sullivan, Katherine; Greenson, Jessica; Winter, Jamie; Dawson, Geraldine; Munson, Jeffrey	February 2013	Not Determined
22902768	Create Study	Age-related abnormalities in white matter microstructure in autism spectrum disorders.	Brain research	Kleinhans, Natalia M; Pauley, Gregory; Richards, Todd; Neuhaus, Emily; Martin, Nathalie; Corrigan, Neva M; Shaw, Dennis W; Estes, Annette; Dager, Stephen R	October 15, 2012	Not Relevant
22843504	Create Study	Individual common variants exert weak effects on the risk for autism spectrum disorders.	Human molecular genetics	Anney, Richard; Klei, Lambertus; Pinto, Dalila; Almeida, Joana; Bacchelli, Elena; Baird, Gillian; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Casey, Jillian; Conroy, Judith; Correia, Catarina; Corsello, Christina; Crawford, Emily L; de Jonge, Maretha; Delorme, Richard; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Green, Andrew; Green, Jonathan; Guter, Stephen J; Heron, Elizabeth A; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Jacob, Suma; Kenny, Graham P; Kim, Cecilia; Kolevzon, Alexander; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Law-Smith, Miriam; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Liu, Xiao-Qing; Lombard, Frances; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Magalhaes, Tiago R; Mantoulan, Carine; McDougle, Christopher J; Melhem, Nadine M; Merikangas, Alison; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Noakes, Carolyn; Nygren, Gudrun; Papanikolaou, Katerina; Pagnamenta, Alistair T; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Posey, David J; Poustka, Fritz; Ragoussis, Jiannis; Regan, Regina; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Schlitt, Sabine; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stoppioni, Vera; Sykes, Nuala; Tancredi, Raffaella; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Vorstman, J A S; Wallace, Simon; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Bailey, Anthony J; Battaglia, Agatino; Cantor, Rita M; Coon, Hilary; Cuccaro, Michael L; Dawson, Geraldine; Ennis, Sean; Freitag, Christine M; Geschwind, Daniel H; Haines, Jonathan L; Klauck, Sabine M; McMahon, William M; Maestrini, Elena; Miller, Judith; Monaco, Anthony P; Nelson, Stanley F; Nurnberger Jr, John I; Oliveira, Guiomar; Parr, Jeremy R; Pericak-Vance, Margaret A; Piven, Joseph; Schellenberg, Gerard D; Scherer, Stephen W; Vicente, Astrid M; Wassink, Thomas H; Wijsman, Ellen M; Betancur, Catalina; Buxbaum, Joseph D; Cook, Edwin H; Gallagher, Louise; Gill, Michael; Hallmayer, Joachim; Paterson, Andrew D; Sutcliffe, James S; Szatmari, Peter; Vieland, Veronica J; Hakonarson, Hakon; Devlin, Bernie	November 1, 2012	Not Determined
22714655	Create Study	The role of large pedigrees in an era of high-throughput sequencing.	Human genetics	Wijsman, Ellen M	October 2012	Not Relevant
22370873	Create Study	Consensus paper: pathological role of the cerebellum in autism.	Cerebellum (London, England)	Fatemi, S Hossein; Aldinger, Kimberly A; Ashwood, Paul; Bauman, Margaret L; Blaha, Charles D; Blatt, Gene J; Chauhan, Abha; Chauhan, Ved; Dager, Stephen R; Dickson, Price E; Estes, Annette M; Goldowitz, Dan; Heck, Detlef H; Kemper, Thomas L; King, Bryan H; Martin, Loren A; Millen, Kathleen J; Mittleman, Guy; Mosconi, Matthew W; Persico, Antonio M; Sweeney, John A; Webb, Sara J; Welsh, John P	September 2012	Not Relevant
22206802	Create Study	Toward a better understanding of the savant brain.	Comprehensive psychiatry	Corrigan, Neva M; Richards, Todd L; Treffert, Darold A; Dager, Stephen R	August 2012	Not Relevant
22095694	Create Study	Evidence for involvement of GNB1L in autism.	American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics	Chen, Ying-Zhang; Matsushita, Mark; Girirajan, Santhosh; Lisowski, Mark; Sun, Elizabeth; Sul, Youngmee; Bernier, Raphael; Estes, Annette; Dawson, Geraldine; Minshew, Nancy; Shellenberg, Gerard D; Eichler, Evan E; Rieder, Mark J; Nickerson, Deborah A; Tsuang, Debby W; Tsuang, Ming T; Wijsman, Ellen M; Raskind, Wendy H; Brkanac, Zoran	January 2012	Not Relevant
22004249	Create Study	Developmental change in the ERP responses to familiar faces in toddlers with autism spectrum disorders versus typical development.	Child development	Webb, Sara Jane; Jones, Emily J H; Merkle, Kristen; Venema, Kaitlin; Greenson, Jessica; Murias, Michael; Dawson, Geraldine	January 2011	Not Determined
21996756	Create Study	A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder.	Human genetics	Casey, Jillian P; Magalhaes, Tiago; Conroy, Judith M; Regan, Regina; Shah, Naisha; Anney, Richard; Shields, Denis C; Abrahams, Brett S; Almeida, Joana; Bacchelli, Elena; Bailey, Anthony J; Baird, Gillian; Battaglia, Agatino; Berney, Tom; Bolshakova, Nadia; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Cali, Phil; Correia, Catarina; Corsello, Christina; Coutanche, Marc; Dawson, Geraldine; de Jonge, Maretha; Delorme, Richard; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Foley, Suzanne; Fombonne, Eric; Freitag, Christine M; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Green, Jonathan; Guter, Stephen J; Hakonarson, Hakon; Holt, Richard; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Kim, Cecilia; Klauck, Sabine M; Kolevzon, Alexander; Lamb, Janine A; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Lord, Catherine; Lund, Sabata C; Maestrini, Elena; Mantoulan, Carine; Marshall, Christian R; McConachie, Helen; McDougle, Christopher J; McGrath, Jane; McMahon, William M; Merikangas, Alison; Miller, Judith; Minopoli, Fiorella; Mirza, Ghazala K; Munson, Jeff; Nelson, Stanley F; Nygren, Gudrun; Oliveira, Guiomar; Pagnamenta, Alistair T; Papanikolaou, Katerina; Parr, Jeremy R; Parrini, Barbara; Pickles, Andrew; Pinto, Dalila; Piven, Joseph; Posey, David J; Poustka, Annemarie; Poustka, Fritz; Ragoussis, Jiannis; Roge, Bernadette; Rutter, Michael L; Sequeira, Ana F; Soorya, Latha; Sousa, Inês; Sykes, Nuala; Stoppioni, Vera; Tancredi, Raffaella; Tauber, Maïté; Thompson, Ann P; Thomson, Susanne; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Vorstman, Jacob A S; Wallace, Simon; Wang, Kai; Wassink, Thomas H; White, Kathy; Wing, Kirsty; Wittemeyer, Kerstin; Yaspan, Brian L; Zwaigenbaum, Lonnie; Betancur, Catalina; Buxbaum, Joseph D; Cantor, Rita M; Cook, Edwin H; Coon, Hilary; Cuccaro, Michael L; Geschwind, Daniel H; Haines, Jonathan L; Hallmayer, Joachim; Monaco, Anthony P; Nurnberger Jr, John I; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Scherer, Stephen W; Sutcliffe, James S; Szatmari, Peter; Vieland, Veronica J; Wijsman, Ellen M; Green, Andrew; Gill, Michael; Gallagher, Louise; Vicente, Astrid; Ennis, Sean	April 2012	Not Determined
21905246	Create Study	Evidence for broader autism phenotype characteristics in parents from multiple-incidence autism families.	Autism research : official journal of the International Society for Autism Research	Bernier, Raphael; Gerdts, Jennifer; Munson, Jeff; Dawson, Geraldine; Estes, Annette	February 2012	Not Relevant
21892359	Create Study	Early Language Learning and Literacy: Neuroscience Implications for Education.	Mind, brain and education : the official journal of the International Mind, Brain, and Education Society	Kuhl, Patricia K	September 2011	Not Relevant
21798918	Create Study	Neuroscience. Who's talking?	Science (New York, N.Y.)	Kuhl PK	July 29, 2011	Not Relevant
21703496	Create Study	Identification of genetic loci underlying the phenotypic constructs of autism spectrum disorders.	Journal of the American Academy of Child and Adolescent Psychiatry	Liu, Xiao-Qing; Georgiades, Stelios; Duku, Eric; Thompson, Ann; Devlin, Bernie; Cook, Edwin H; Wijsman, Ellen M; Paterson, Andrew D; Szatmari, Peter	July 2011	Not Relevant
21522181	Create Study	Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders.	European journal of human genetics : EJHG	Anney, Richard J L; Kenny, Elaine M; O'Dushlaine, Colm; Yaspan, Brian L; Parkhomenka, Elena; Buxbaum, Joseph D; Sutcliffe, James; Gill, Michael; Gallagher, Louise; Autism Genome Project; Buxbaum, Joseph D; Sutcliffe, James; Gill, Michael; Gallagher, Louise	October 2011	Not Determined
21484517	Create Study	The effects of face expertise training on the behavioral performance and brain activity of adults with high functioning autism spectrum disorders.	Journal of autism and developmental disorders	Faja S, Webb SJ, Jones E, Merkle K, Kamara D, Bavaro J, Aylward E, Dawson G	February 2012	Not Determined
21484201	Create Study	Novel method for combined linkage and genome-wide association analysis finds evidence of distinct genetic architecture for two subtypes of autism.	Journal of neurodevelopmental disorders	Vieland, Veronica J; Hallmayer, Joachim; Huang, Yungui; Pagnamenta, Alistair T; Pinto, Dalila; Khan, Hameed; Monaco, Anthony P; Paterson, Andrew D; Scherer, Stephen W; Sutcliffe, James S; Szatmari, Peter; Autism Genome Project (AGP)	June 2011	Not Determined
21480545	Create Study	Basal ganglia morphometry and repetitive behavior in young children with autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Estes, Annette; Shaw, Dennis W W; Sparks, Bobbi F; Friedman, Seth; Giedd, Jay N; Dawson, Geraldine; Bryan, Matthew; Dager, Stephen R	June 2011	Not Relevant
21438139	Create Study	Mutations in the TSGA14 gene in families with autism spectrum disorders.	American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics	Korvatska, O; Estes, A; Munson, J; Dawson, G; Bekris, L M; Kohen, R; Yu, C-E; Schellenberg, G D; Raskind, W H	April 2011	Not Relevant
21404085	Create Study	Proton magnetic resonance spectroscopy and MRI reveal no evidence for brain mitochondrial dysfunction in children with autism spectrum disorder.	Journal of autism and developmental disorders	Corrigan, Neva M; Shaw, Dennis W W; Richards, Todd L; Estes, Annette M; Friedman, Seth D; Petropoulos, Helen; Artru, Alan A; Dager, Stephen R	January 2012	Not Relevant
21078305	Create Study	Is schizophrenia on the autism spectrum?	Brain research	King, Bryan H; Lord, Catherine	March 22, 2011	Not Relevant
21042871	Create Study	Discrepancies between academic achievement and intellectual ability in higher-functioning school-aged children with autism spectrum disorder.	Journal of autism and developmental disorders	Estes, Annette; Rivera, Vanessa; Bryan, Matthew; Cali, Philip; Dawson, Geraldine	August 2011	Not Determined
21041620	Create Study	Laterobasal amygdalar enlargement in 6- to 7-year-old children with autism spectrum disorder.	Archives of general psychiatry	Kim, Jieun E; Lyoo, In Kyoon; Estes, Annette M; Renshaw, Perry F; Shaw, Dennis W; Friedman, Seth D; Kim, Dajung J; Yoon, Sujung J; Hwang, Jaeuk; Dager, Stephen R	November 2010	Not Relevant
20963441	Create Study	Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16.	Human genetics	Chapman, Nicola H; Estes, Annette; Munson, Jeff; Bernier, Raphael; Webb, Sara J; Rothstein, Joseph H; Minshew, Nancy J; Dawson, Geraldine; Schellenberg, Gerard D; Wijsman, Ellen M	January 2011	Not Determined
20826304	Create Study	Brain mechanisms in early language acquisition.	Neuron	Kuhl, Patricia K	September 9, 2010	Not Relevant
20663923	Study (325)	A genome-wide scan for common alleles affecting risk for autism.	Human molecular genetics	Anney, Richard; Klei, Lambertus; Pinto, Dalila; Regan, Regina; Conroy, Judith; Magalhaes, Tiago R; Correia, Catarina; Abrahams, Brett S; Sykes, Nuala; Pagnamenta, Alistair T; Almeida, Joana; Bacchelli, Elena; Bailey, Anthony J; Baird, Gillian; Battaglia, Agatino; Berney, Tom; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Carson, Andrew R; Casallo, Guillermo; Casey, Jillian; Chu, Su H; Cochrane, Lynne; Corsello, Christina; Crawford, Emily L; Crossett, Andrew; Dawson, Geraldine; de Jonge, Maretha; Delorme, Richard; Drmic, Irene; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Freitag, Christine M; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Goldberg, Jeremy; Green, Jonathan; Guter, Stephen J; Hakonarson, Hakon; Heron, Elizabeth A; Hill, Matthew; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Kim, Cecilia; Klauck, Sabine M; Kolevzon, Alexander; Korvatska, Olena; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Laskawiec, Magdalena; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Lionel, Anath C; Liu, Xiao-Qing; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Maestrini, Elena; Mahoney, William; Mantoulan, Carine; Marshall, Christian R; McConachie, Helen; McDougle, Christopher J; McGrath, Jane; McMahon, William M; Melhem, Nadine M; Merikangas, Alison; Migita, Ohsuke; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Nelson, Stanley F; Noakes, Carolyn; Noor, Abdul; Nygren, Gudrun; Oliveira, Guiomar; Papanikolaou, Katerina; Parr, Jeremy R; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Piven, Joseph; Posey, David J; Poustka, Annemarie; Poustka, Fritz; Prasad, Aparna; Ragoussis, Jiannis; Renshaw, Katy; Rickaby, Jessica; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Bierut, Laura J; Rice, John P; Salt, Jeff; Sansom, Katherine; Sato, Daisuke; Segurado, Ricardo; Senman, Lili; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stoppioni, Vera; Strawbridge, Christina; Tancredi, Raffaella; Tansey, Katherine; Thiruvahindrapduram, Bhooma; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Wallace, Simon; Wang, Kai; Wang, Zhouzhi; Wassink, Thomas H; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Yaspan, Brian L; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Betancur, Catalina; Buxbaum, Joseph D; Cantor, Rita M; Cook, Edwin H; Coon, Hilary; Cuccaro, Michael L; Gallagher, Louise; Geschwind, Daniel H; Gill, Michael; Haines, Jonathan L; Miller, Judith; Monaco, Anthony P; Nurnberger Jr, John I; Paterson, Andrew D; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Scherer, Stephen W; Sutcliffe, James S; Szatmari, Peter; Vicente, Astrid M; Vieland, Veronica J; Wijsman, Ellen M; Devlin, Bernie; Ennis, Sean; Hallmayer, Joachim	October 15, 2010	Relevant
20531469	Study (327)	Functional impact of global rare copy number variation in autism spectrum disorders.	Nature	Pinto, Dalila; Pagnamenta, Alistair T; Klei, Lambertus; Anney, Richard; Merico, Daniele; Regan, Regina; Conroy, Judith; Magalhaes, Tiago R; Correia, Catarina; Abrahams, Brett S; Almeida, Joana; Bacchelli, Elena; Bader, Gary D; Bailey, Anthony J; Baird, Gillian; Battaglia, Agatino; Berney, Tom; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Bryson, Susan E; Carson, Andrew R; Casallo, Guillermo; Casey, Jillian; Chung, Brian H Y; Cochrane, Lynne; Corsello, Christina; Crawford, Emily L; Crossett, Andrew; Cytrynbaum, Cheryl; Dawson, Geraldine; de Jonge, Maretha; Delorme, Richard; Drmic, Irene; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Freitag, Christine M; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Goldberg, Jeremy; Green, Andrew; Green, Jonathan; Guter, Stephen J; Hakonarson, Hakon; Heron, Elizabeth A; Hill, Matthew; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Kim, Cecilia; Klauck, Sabine M; Kolevzon, Alexander; Korvatska, Olena; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Laskawiec, Magdalena; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Lionel, Anath C; Liu, Xiao-Qing; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Maestrini, Elena; Mahoney, William; Mantoulan, Carine; Marshall, Christian R; McConachie, Helen; McDougle, Christopher J; McGrath, Jane; McMahon, William M; Merikangas, Alison; Migita, Ohsuke; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Nelson, Stanley F; Noakes, Carolyn; Noor, Abdul; Nygren, Gudrun; Oliveira, Guiomar; Papanikolaou, Katerina; Parr, Jeremy R; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Pilorge, Marion; Piven, Joseph; Ponting, Chris P; Posey, David J; Poustka, Annemarie; Poustka, Fritz; Prasad, Aparna; Ragoussis, Jiannis; Renshaw, Katy; Rickaby, Jessica; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Bierut, Laura J; Rice, John P; Salt, Jeff; Sansom, Katherine; Sato, Daisuke; Segurado, Ricardo; Sequeira, Ana F; Senman, Lili; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stein, Olaf; Sykes, Nuala; Stoppioni, Vera; Strawbridge, Christina; Tancredi, Raffaella; Tansey, Katherine; Thiruvahindrapduram, Bhooma; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Wallace, Simon; Wang, Kai; Wang, Zhouzhi; Wassink, Thomas H; Webber, Caleb; Weksberg, Rosanna; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Wu, Jing; Yaspan, Brian L; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Buxbaum, Joseph D; Cantor, Rita M; Cook, Edwin H; Coon, Hilary; Cuccaro, Michael L; Devlin, Bernie; Ennis, Sean; Gallagher, Louise; Geschwind, Daniel H; Gill, Michael; Haines, Jonathan L; Hallmayer, Joachim; Miller, Judith; Monaco, Anthony P; Nurnberger Jr, John I; Paterson, Andrew D; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Szatmari, Peter; Vicente, Astrid M; Vieland, Veronica J; Wijsman, Ellen M; Scherer, Stephen W; Sutcliffe, James S; Betancur, Catalina	July 15, 2010	Relevant
20301009	Create Study	Toddlers with elevated autism symptoms show slowed habituation to faces.	Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence	Webb, Sara Jane; Jones, Emily J H; Merkle, Kristen; Namkung, Jessica; Toth, Karen; Greenson, Jessica; Murias, Michael; Dawson, Geraldine	2010	Not Relevant
20236806	Create Study	Improving 1H MRSI measurement of cerebral lactate for clinical applications.	Psychiatry research	Corrigan, Neva M; Richards, Todd L; Friedman, Seth D; Petropoulos, Helen; Dager, Stephen R	April 2010	Not Relevant
20017966	Create Study	Contrasting identity-by-descent estimators, association studies, and linkage analyses using the Framingham Heart Study data.	BMC proceedings	Marchani, Elizabeth E; Di, Yanming; Choi, Yoonha; Cheung, Charles; Su, Ming; Boehm, Frederick; Thompson, Elizabeth A; Wijsman, Ellen M	2009	Not Relevant
19924706	Create Study	Combining information from linkage and association methods.	Genetic epidemiology	Marchani, Elizabeth E; Callegaro, Andrea; Daw, E Warwick; Wijsman, Ellen M	2009	Not Relevant
19812673	Create Study	A genome-wide linkage and association scan reveals novel loci for autism.	Nature	Weiss, Lauren A; Arking, Dan E; Gene Discovery Project of Johns Hopkins & the Autism Consortium; Daly, Mark J; Chakravarti, Aravinda	October 8, 2009	Not Determined
19535467	Create Study	Parenting stress and psychological functioning among mothers of preschool children with autism and developmental delay.	Autism : the international journal of research and practice	Estes, Annette; Munson, Jeffrey; Dawson, Geraldine; Koehler, Elizabeth; Zhou, Xiao-Hua; Abbott, Robert	July 2009	Not Relevant
19404257	Create Study	Autism genome-wide copy number variation reveals ubiquitin and neuronal genes.	Nature	Glessner, Joseph T; Wang, Kai; Cai, Guiqing; Korvatska, Olena; Kim, Cecilia E; Wood, Shawn; Zhang, Haitao; Estes, Annette; Brune, Camille W; Bradfield, Jonathan P; Imielinski, Marcin; Frackelton, Edward C; Reichert, Jennifer; Crawford, Emily L; Munson, Jeffrey; Sleiman, Patrick M A; Chiavacci, Rosetta; Annaiah, Kiran; Thomas, Kelly; Hou, Cuiping; Glaberson, Wendy; Flory, James; Otieno, Frederick; Garris, Maria; Soorya, Latha; Klei, Lambertus; Piven, Joseph; Meyer, Kacie J; Anagnostou, Evdokia; Sakurai, Takeshi; Game, Rachel M; Rudd, Danielle S; Zurawiecki, Danielle; McDougle, Christopher J; Davis, Lea K; Miller, Judith; Posey, David J; Michaels, Shana; Kolevzon, Alexander; Silverman, Jeremy M; Bernier, Raphael; Levy, Susan E; Schultz, Robert T; Dawson, Geraldine; Owley, Thomas; McMahon, William M; Wassink, Thomas H; Sweeney, John A; Nurnberger, John I; Coon, Hilary; Sutcliffe, James S; Minshew, Nancy J; Grant, Struan F A; Bucan, Maja; Cook, Edwin H; Buxbaum, Joseph D; Devlin, Bernie; Schellenberg, Gerard D; Hakonarson, Hakon	May 28, 2009	Not Determined
19404256	Create Study	Common genetic variants on 5p14.1 associate with autism spectrum disorders.	Nature	Wang, Kai; Zhang, Haitao; Ma, Deqiong; Bucan, Maja; Glessner, Joseph T; Abrahams, Brett S; Salyakina, Daria; Imielinski, Marcin; Bradfield, Jonathan P; Sleiman, Patrick M A; Kim, Cecilia E; Hou, Cuiping; Frackelton, Edward; Chiavacci, Rosetta; Takahashi, Nagahide; Sakurai, Takeshi; Rappaport, Eric; Lajonchere, Clara M; Munson, Jeffrey; Estes, Annette; Korvatska, Olena; Piven, Joseph; Sonnenblick, Lisa I; Alvarez Retuerto, Ana I; Herman, Edward I; Dong, Hongmei; Hutman, Ted; Sigman, Marian; Ozonoff, Sally; Klin, Ami; Owley, Thomas; Sweeney, John A; Brune, Camille W; Cantor, Rita M; Bernier, Raphael; Gilbert, John R; Cuccaro, Michael L; McMahon, William M; Miller, Judith; State, Matthew W; Wassink, Thomas H; Coon, Hilary; Levy, Susan E; Schultz, Robert T; Nurnberger, John I; Haines, Jonathan L; Sutcliffe, James S; Cook, Edwin H; Minshew, Nancy J; Buxbaum, Joseph D; Dawson, Geraldine; Grant, Struan F A; Geschwind, Daniel H; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Hakonarson, Hakon	May 28, 2009	Not Determined
19363431	Create Study	Research applications of magnetic resonance spectroscopy to investigate psychiatric disorders.	Topics in magnetic resonance imaging : TMRI	Dager, Stephen R; Corrigan, Neva M; Richards, Todd L; Posse, Stefan	April 2008	Not Relevant
19243924	Create Study	Cerebellar vermal volumes and behavioral correlates in children with autism spectrum disorder.	Psychiatry research	Webb, Sara Jane; Sparks, Bobbi-Faun; Friedman, Seth D; Shaw, Dennis W W; Giedd, Jay; Dawson, Geraldine; Dager, Stephen R	April 30, 2009	Not Relevant
18954476	Create Study	Neurocognitive predictors of social and communicative developmental trajectories in preschoolers with autism spectrum disorders.	Journal of the International Neuropsychological Society : JINS	Munson, Jeffrey; Faja, Susan; Meltzoff, Andrew; Abbott, Robert; Dawson, Geraldine	November 2008	Not Relevant
18632090	Create Study	Genome-wide linkage analyses of quantitative and categorical autism subphenotypes.	Biological psychiatry	Liu, Xiao-Qing; Paterson, Andrew D; Szatmari, Peter; Autism Genome Project Consortium	October 1, 2008	Not Determined
18558865	Create Study	Neural substrates of language acquisition.	Annual review of neuroscience	Kuhl P, Rivera-Gaxiola M	2008	Not Relevant

helpcenter.collection.publications-tab

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

How can I determine if a publication is relevant?

Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
Where does the NDA get the publications?

PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

Create Study

A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
Not Determined Publication

Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
Not Relevant Publication

A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
PubMed

PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
PubMed ID

The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
Relevant Publication

A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	280	07/15/2008	303	11/15/2008	303	Approved

To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.

Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Mullen Scales of Early Learning	588	07/15/2008	192	11/15/2008	192	Approved
Genomics/omics	93	07/31/2012	154	11/30/2012	154	Approved
ABC Community	338	07/15/2008	136	11/15/2008	136	Approved
Childrens Memory Scale (CMS)	312	07/15/2008	0	11/15/2008	0	Approved
ADOS	326	07/15/2008	142	11/15/2008	142	Approved
Life Events Checklist	413	07/15/2008	178	11/15/2008	178	Approved
Early Development Inventory (EDI)	256	07/15/2008	84	11/15/2008	84	Approved
Pediatric Sleep Evaluation Questionnaire	99	07/15/2008	79	11/15/2008	79	Approved
Parenting Sense of Competence Scale (PSOCS)	142	07/15/2008	120	11/15/2008	120	Approved
Woodcock-Johnson Tests of Cognitive Abilities and Achievement	312	07/15/2008	0	11/15/2008	0	Approved
Dyadic Adjustment Scale	621	07/15/2008	217	11/15/2008	217	Approved
PDD Behavior Inventory (PDDBI)	182	07/15/2008	0	11/15/2008	0	Approved
Brief Symptom Inventory (BSI)	681	07/15/2008	109	11/15/2008	109	Approved
Medical History	18	07/15/2008	222	11/15/2008	222	Approved
Maternal Behavior Rating Scale (MBRS)	358	07/15/2008	79	11/15/2008	79	Approved
NCAST	65	07/31/2012	76	11/30/2012	76	Approved
Broader Phenotype Autism Symptom Scale (BPASS)	270	07/15/2008	143	11/15/2008	143	Approved
Sensory Processing and Motor Control Questionnaire	32	07/15/2008	0	11/15/2008	0	Approved
Social Responsiveness Scale (SRS)	332	07/15/2008	284	11/15/2008	284	Approved
Wechsler Abbreviated Scale of Intelligence (WASI)	263	07/15/2008	0	11/15/2008	0	Approved
Sensory Experiences Questionnaire (SEQ)	159	07/15/2008	16	11/15/2008	16	Approved
Comprehensive Test of Phonological Processing (CTOPP)	135	07/15/2008	0	11/15/2008	0	Approved
Parenting Practices Inventory	130	07/15/2008	0	11/15/2008	0	Approved
Social Competence Inventory	397	07/15/2008	249	11/15/2008	249	Approved
Infant Behavior Questionnaire (IBQ)	183	07/15/2008	0	11/15/2008	0	Approved
Child Behavior Checklist (CBCL)	109	07/15/2008	0	11/15/2008	0	Approved
Childrens Communication Checklist-2 (CCC-2)	91	07/15/2008	47	11/15/2008	47	Approved
Autism Observation Scale for Infants (AOSI)	186	07/15/2008	0	11/15/2008	0	Approved
Spectroscopy	65	07/31/2012	0	11/30/2012	0	Approved
Sleep and Settle Questionnaire (SSQ)	179	07/15/2008	0	11/15/2008	0	Approved
Childs Sleep Habits Questionnaire (CSHQ)	36	07/15/2008	0	11/15/2008	0	Approved
Questionnaire on Resources and Stress (QRS-F)	1,018	07/15/2008	0	11/15/2008	0	Approved
SF36 Health QoL	165	07/15/2008	0	11/15/2008	0	Approved
Adolescent Symptom Inventory-4 (ASI-4)	106	07/15/2008	101	11/15/2008	101	Approved
Conners	312	07/15/2008	97	11/15/2008	97	Approved
Teacher Report Form (Achenbach)	65	07/15/2008	59	11/15/2008	59	Approved
DAS-II: Differential Ability Scales	199	07/15/2008	109	11/15/2008	109	Approved
MacArthur Bates Communicative Development Inventory	175	07/15/2008	0	11/15/2008	0	Approved
Wechsler IQ Short Form	113	07/15/2008	129	11/15/2008	129	Approved
Repetitive Behavior Scale - Revised (RBS-R)	492	07/15/2008	198	11/15/2008	198	Approved
Social Skills Rating System (SSRS)	102	07/15/2008	0	11/15/2008	0	Approved
Communication Checklist - Adult	270	07/15/2008	163	11/15/2008	163	Approved
Early Childhood Behavioral Questionnaire (ECBQ)	65	07/15/2008	52	11/15/2008	52	Approved
Vineland (Parent and Caregiver)	984	07/15/2008	363	11/15/2008	363	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	65	07/15/2008	0	11/15/2008	0	Approved
EEG	312	07/15/2014	0	11/15/2014	0	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

What is an NDA Data Structure?

An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
What is the NDA Data Dictionary?

The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

Analyzed Data

Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
Data Item

Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Structure Category

An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
Data Structure Group

A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
Evaluated Data

A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
Imaging Data

Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
Initial Share Date

Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
Initial Submission Date

Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
Research Subject and Pedigree

An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
Submission Cycle

The NDA has two Submission Cycles per year - January 15 and July 15.
Submission Exemption

An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study NameFilter by Study Name	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Examining the validity of the use of ratio IQs in psychological assessments	IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.	300/17423	Secondary Analysis	Shared
The importance of low IQ to early diagnosis of autism	Some individuals can flexibly adapt to life’s changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8,000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to TD at all ages (p<0.001), and IQ significantly correlates with calibrated severity scores (total CSS, as well as non-verbal and verbal CSS) on the ADOS. Note, VIQ is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and that precede an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood.	190/6323	Secondary Analysis	Shared
Prognostic early snapshot stratification of autism based on adaptive functioning	A major goal of precision medicine is to predict prognosis based on individualized information at the earliest possible points in development. Using early snapshots of adaptive functioning and unsupervised data- driven discovery methods, we uncover highly stable early autism subtypes that yield information relevant to later prognosis. Data from the National Institute of Mental Health Data Archive (NDA) (n = 1,098) was used to uncover three early subtypes (<72 months) that generalize with 96% accuracy. Outcome data from NDA (n = 2,561; mean age, 13 years) also reproducibly clusters into three subtypes with 99% generalization accuracy. Early snapshot subtypes predict developmental trajectories in non-verbal cognitive, language and motor domains and are predictive of membership in different adaptive functioning outcome subtypes. Robust and prognosis- relevant subtyping of autism based on early snapshots of adaptive functioning may aid future research work via prediction of these subtypes with our reproducible stratification model.	3/3517	Secondary Analysis	Shared
Unravelling the Collective Diagnostic Power Behind the Features in the Autism Diagnostic Observation Schedule	Background: Autism is a group of heterogeneous disorders defined by deficits in social interaction and communication. Typically, diagnosis depends on the results of a behavioural examination called the Autism Diagnostic Observation Schedule (ADOS). Unfortunately, administration of the ADOS exam is time-consuming and requires a significant amount of expert intervention, leading to delays in diagnosis and access to early intervention programs. The diagnostic power of each feature in the ADOS exam is currently unknown. Our hypothesis is that certain features could be removed from the exam without a significant reduction in diagnostic accuracy, sensitivity or specificity. Objective: Determine the smallest subset of predictive features in ADOS module-1 (an exam variant for patients with minimal verbal skills). Methodology: ADOS module-1 datasets were acquired from the Autism Genetic Resource Exchange and the National Database for Autism Research. The datasets contained 2572 samples with the following labels: autism (1763), autism spectrum (513), and non-autism (296). The datasets were used as input to 4 different cost-sensitive classifiers in Weka (functional trees, LADTree, logistic model trees, and PART). For each classifier, a 10-fold cross validation was preformed and the number of predictive features, accuracy, sensitivity, and specificity was recorded. Results & Conclusion: Each classifier resulted in a reduction of the number of ADOS features required for autism diagnosis. The LADtree classifier was able to obtain the largest reduction, utilizing only 10 of 29 ADOS module-1 features (96.8% accuracy, 96.9% sensitivity, and 95.9% specificity). Overall, these results are a step towards a more efficient behavioural exam for autism diagnosis.	20/1832	Secondary Analysis	Shared
Imbalanced social-communicative and restricted repetitive behavior subtypes in autism spectrum disorder exhibit different neural circuitry	Social-communication (SC) and restricted repetitive behaviors (RRB) are autism diagnostic symptom domains. SC and RRB severity can markedly differ within and between individuals and may be underpinned by different neural circuitry and genetic mechanisms. Modeling SC-RRB balance could help identify how neural circuitry and genetic mechanisms map onto such phenotypic heterogeneity. Here, we developed a phenotypic stratification model that makes highly accurate (97–99%) out-of-sample SC = RRB, SC > RRB, and RRB > SC subtype predictions. Applying this model to resting state fMRI data from the EU-AIMS LEAP dataset (n = 509), we find that while the phenotypic subtypes share many commonalities in terms of intrinsic functional connectivity, they also show replicable differences within some networks compared to a typically-developing group (TD). Specifically, the somatomotor network is hypoconnected with perisylvian circuitry in SC > RRB and visual association circuitry in SC = RRB. The SC = RRB subtype show hyperconnectivity between medial motor and anterior salience circuitry. Genes that are highly expressed within these networks show a differential enrichment pattern with known autism-associated genes, indicating that such circuits are affected by differing autism-associated genomic mechanisms. These results suggest that SC-RRB imbalance subtypes share many commonalities, but also express subtle differences in functional neural circuitry and the genomic underpinnings behind such circuitry.	1/1708	Secondary Analysis	Shared
Automated Autism Diagnosis using Phenotypic and Genotypic Attributes: Phase I	The ultimate goal of this project is to develop a predictive system that can automate the diagnosis process for autism using phenotypic and genotypic attributes for classification. At this time, only a first phase is being pursued: starting with scores from Autism Diagnostic Observation Schedule (ADOS) reports, use data-mining techniques to select the smallest set of the most informative evaluation points that can lead to similar behavioral diagnoses as using all report features. The effort began in March, 2016 after data access to NDAR was granted. This report describes the results from that date through the end of December 2016.	18/1045	Secondary Analysis	Shared
Predictors of self-injurious behaviour exhibited by individuals with autism spectrum disorder	Presence of an autism spectrum disorder is a risk factor for development of self-injurious behaviour (SIB) exhibited by individuals with developmental disorders. The most salient SIB risk factors historically studied within developmental disorders are level of intellectual disability, communication deficits and presence of specific genetic disorders. Recent SIB research has expanded the search for risk factors to include less commonly studied variables for people with developmental disorders: negative affect, hyperactivity and impulsivity.	45/589	Secondary Analysis	Shared
The Sensitivity and Specificity of the Social Communication Questionnaire for Autism Spectrum Disorder with Respect to Age	Scientific Abstract The Social Communication Questionnaire (SCQ) assesses communication skills and social functioning in screening for symptoms of autism-spectrum disorder (ASD). The SCQ is recommended for individuals between 4 to 40 years with a cutoff score of 15 for referral. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus an individual as not at-risk for ASD (specificity). Based on a sample from the National Database for Autism Research (n=344; age: 1.58 to 25.92 years old), the present study examined the SCQ’s sensitivity versus specificity across a range of ages. We recommend that the cutoff scores for the SCQ be re-evaluated with age as a consideration. Lay Abstract The age neutrality of the Social Communication Questionnaire (SCQ) was examined as a common screener for ASD. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus accurately classifying an individual as not at-risk for ASD (specificity). With a sample from the National Database for Autism Research, the present study examined the SCQ’s sensitivity versus specificity. Analyses indicated that the actual sensitivity and specificity scores were lower than initially reported by the creators of the SCQ.	1/339	Secondary Analysis	Shared
comparing EEG metrics during eyes closed versus eyes open rest in autism	Understanding the complex relationship between brain dynamics and mental disorders has proved difficult. Sample sizes have often been small, and brain dynamics have often been evaluated in only one state. Here, data obtained from the NIMH data archive were used to create a sample of 395 individuals with both eyes open and eyes closed resting state EEG data. All data were submitted to a standard pipeline to extract power spectra, peak alpha frequency, the slope of the 1/f curve, multi scale sample entropy, phase amplitude coupling, and intersite phase clustering. These data along with the survey data collected at the time of data collection form a valuable resource for interogating the relationship between brain state changes and autism diagnosis.	2/336	Secondary Analysis	Shared
Word Learning and Word Features	Vocabulary composition and word-learning biases are closely interrelated in typical development. Learning new words involves attending to certain properties to facilitate word learning. Such word-learning biases are influenced by perceptually and conceptually salient word features, including high imageability, concreteness, and iconicity. This study examined the association of vocabulary knowledge and word features in young children with ASD (n = 280) and typically developing (TD) toddlers (n = 1,054). Secondary analyses were conducted using data from the National Database for Autism Research and the Wordbank database. Expressive vocabulary was measured using the MacArthur-Bates Communicative Development Inventory. Although the trajectories for concreteness, iconicity, and imageability are similar between children with ASD and TD toddlers, divergences were observed. Differences in imageability are seen early but resolve to a common trajectory; differences in iconicity are small but consistent; and differences in concreteness only emerge after both groups reach a simultaneous peak, before converging again. This study reports unique information about the nonlinear growth patterns associated with each word feature for and distinctions in these growth patterns between the groups.	6/280	Primary Analysis	Shared
Modeling Vocabulary Growth in Autistic and Non-Autistic Children	We assessed the goodness of fit of three models of vocabulary growth, with varying sensitivity to the structure of the environment and the learner’s internal state, to estimated vocabulary growth trajectories in autistic and non-autistic children. We first computed word-level acquisition norms that indicate the vocabulary size at which individual words tend to be learned by each group. We then evaluated how well network growth models based on natural language co-occurrence structure and word associations account for variance in the autistic and non-autistic acquisition norms. In addition to replicating key observations from prior work and observing that the growth models explained similar amounts of variance in each group, we found that autistic vocabulary growth also exhibits growth consistent with “the lure of the associates” model. Thus, both groups leverage semantic structure in the learning environment for vocabulary development, but autistic vocabulary growth is also strongly influenced by existing vocabulary knowledge.	6/247	Secondary Analysis	Shared
Semantic modeling 2023	Although it is well documented that children with ASD are slower to develop their lexicons, we still have a limited understanding of the structure of early lexical knowledge in children with ASD. The current study uses network analysis and differential item functioning anlaysis to examine the structure of semantic knowledge, which may provide insight into the learning processes that influence early word learning.	6/208	Secondary Analysis	Shared

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