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:

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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.

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[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

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1/3, 2/3, and 3/3: Sequencing Autism Spectrum Disorder Extended Pedigrees #2004 Collection State:Shared

General
Experiments (9)
Shared Data
Publications (50)
Data Expected (25)
Associated Studies (11)

Collection Title	Collection Investigators	Collection Description
Collection Title:	1/3, 2/3, and 3/3: Sequencing Autism Spectrum Disorder Extended Pedigrees
Collection Investigators:	Gerard Schellenberg, Hilary Coon and Ellen Wijsman
Collection Description:	We have in hand a unique resource of extended autism spectrum disorder (ASD) pedigrees. We will sequence family members from the most informative pedigrees to study genetic variation contributing to ASD and related phenotypes. We will work to discover new variation, and also use the resource to characterize variants in conjunction with existing whole exome data available through our collaborations. We will test findings in up to 10 other families available from the Autism Genome Project (AGP) network of collaborators. We will also make the resource available to the broader scientific community. Extended families offer an excellent opportunity to identify and study genetic variation, giving a complementary approach to ongoing studies of simplex and small multiplex families. The current collection of families represents some of the largest pedigrees with ASD in the world. We have already detected significant linkage evidence in some of these families with clinical diagnosis and also with related phenotypes. Sequence data in these extended families will result in highly accurate and complete genetic information. We will identify familial variation in these data, and predict potentially damaging variants using new informatics approaches. We will refine information about risk by comparing to ongoing sequence projects. We will also use the ongoing sequence projects to help prioritize the familial variant discovery, and choose the best for replication efforts in other AGP families. Finally, we will investigate sequence variants found by simplex/small family sequencing to determine specificity and penetrance in our extended families. Our proposed project will benefit from the continued collaboration of world-class molecular, analytic, and clinical expertise in the Autism Genome Project to enable the most effective use of this unique resource.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	10/01/2012
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Collection State:	Shared
Blinded Clinical Trial:	No
Total Funded Amount:	$3,422,258.00
Subjects Shared:	3,715

{"values":[["Next Generation Sequencing: sequencing",85],["SNP and CNV: microarray",840]]}

{"values":[]}

{"values":[["Neurological Control",9],["Fragile X",1],["Not Defined",4],["Autism Spectrum Severely Affected",1223],["Autism Spectrum Affected",325],["Sibling Control",385],["Typical Control",59],["Parental Control",1074],["Autism Spectrum Mildly Affected",56]]}

Loading Chart...

Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

File Name	File Type	Description	Audience
Summary_Information_for_SNP_Linkage_Analysis_Data.pdf	Background	Summary Information for SNP Linkage Analysis Data	Qualified Researchers

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH094293-01	2/3 Sequencing Autism Spectrum Disorder Extended Pedigrees	06/01/2012	04/30/2018	55	Not Reported	UNIVERSITY OF WASHINGTON	$1,149,418.00
R01MH094400-01	1/3 - Sequencing Autism Spectrum Disorder Extended Pedigrees	06/01/2012	02/28/2018	4	102	UNIVERSITY OF UTAH	$1,479,240.00
R01MH094382-01	3/3-Sequencing Autism Spectrum Disorder Extended Pedigrees	06/01/2012	04/30/2017	Not Reported	Not Reported	UNIVERSITY OF PENNSYLVANIA	$793,600.00

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 Status: The visibility status of an NDA Collection. Collection Status can be Shared or Private. Collections in Shared status are visible to all users and can be searched in the NDA Query Tool. Private Collections are not visible to NDA users. The Status of an NDA Collection only affects the visibility of information about the Collection (metadata) and does not relate to the status of the record-level research data in the NDA Collection.

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 and marked as Shared, 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 State

The Collection State indicates whether the Collection is viewable and searchable. Collections can be either Private, Shared, or an Ongoing Study. A Collection that is shared does not necessarily have shared data as the Collection State and state of data are independent of each other. This field can be edited by Collection users with Administrative Privileges and the Program Officer as listed in eRA (for NIH funded grants). Changes must be saved by clicking the Save button at the bottom of the page.
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
110	Genotyping Project	11/14/2013	Approved	Omics
136	OmniExpressMarch2014	03/11/2014	Approved	Omics
137	pedigree exomes March 2014	03/13/2014	Approved	Omics
392	SNP genome scan-4	10/29/2015	Approved	Omics
393	SNP genome scan-5	10/29/2015	Approved	Omics
394	SNP genome scan-6	10/29/2015	Approved	Omics
395	SNP genome scan-7	10/29/2015	Approved	Omics
396	SNP genome scan-8	10/29/2015	Approved	Omics
397	SNP genome scan-9	10/29/2015	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

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

Shared Data

Data structures with the number of subjects submitted and shared are provided.

Shared Data:

Title	Type	Number of Subjects
Aberrant Behavior Checklist (ABC) - Community	Clinical Assessments	693
Anthropometric Information	Clinical Assessments	1962
Autism Diagnostic Interview - Cumulative	Clinical Assessments	430
Autism Diagnostic Observation Schedule (ADOS) - Module 4	Clinical Assessments	326
Autism Diagnostic Observation Schedule (ADOS)- Module 1	Clinical Assessments	172
Autism Diagnostic Observation Schedule (ADOS)- Module 2	Clinical Assessments	161
Autism Diagnostic Observation Schedule (ADOS)- Module 3	Clinical Assessments	267
BASC Parent Rating Scale Adolescent	Clinical Assessments	466
Broad Autism Phenotype Questionnaire (BAPQ)	Clinical Assessments	482
CADS-P	Clinical Assessments	443
CELF Preschool	Clinical Assessments	138
CELF-3 Clinical Eval of Lang Fundamentals, 3th ed	Clinical Assessments	362
CELF-4 Clinical Eval of Lang Fundamentals, 4th ed	Clinical Assessments	94
Comprehensive Test of Phonological Processing (CTOPP)	Clinical Assessments	1090
DAS-II: Differential Ability Scales 2nd Ed. School Age	Clinical Assessments	175
Developmental Behavior Checklist	Clinical Assessments	195
Expanded Token Test	Clinical Assessments	696
Genomics Sample	Genomics	803
Genomics Subject	Genomics	1689
Leiter International Performance Scale-Revised (Leiter-R), Visualization and Reasoning Battery	Clinical Assessments	8
Mullen Scales of Early Learning	Clinical Assessments	42
Peabody Picture Vocabulary Test, Fourth Edition-Form A	Clinical Assessments	526
Repetitive Behavior Scales - Early Childhood Supplement	Clinical Assessments	224
SRS-2. Adult, Preschool and School Age	Clinical Assessments	1601
Social Communication Questionnaire (SCQ) - Lifetime	Clinical Assessments	581
Stanford-Binet Intelligence Scales, Fifth Edition (SB5)	Clinical Assessments	43
Vineland I	Clinical Assessments	390
Vineland-II - Parent and Caregiver Rating Form (2005)	Clinical Assessments	318
Wechsler Abbreviated Scale of Intelligence (WASI)	Clinical Assessments	660
Wechsler Adult Intelligence Scale Fourth Edition [part 1]	Clinical Assessments	109
Wechsler Adult Intelligence Scale III	Clinical Assessments	338
Wechsler Intelligence Scale for Children III	Clinical Assessments	166

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 Collection or NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared Collection or NDA Study does not necessarily mean that data submitted to the Collection or 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, but will only be viewable and accessible if the Collection is 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
36280734	Create Study	Statistical and functional convergence of common and rare genetic influences on autism at chromosome 16p.	Nature genetics	Weiner, Daniel J; Ling, Emi; Erdin, Serkan; Tai, Derek J C; Yadav, Rachita; Grove, Jakob; Fu, Jack M; Nadig, Ajay; Carey, Caitlin E; Baya, Nikolas; Bybjerg-Grauholm, Jonas; iPSYCH Consortium; ASD Working Group of the Psychiatric Genomics Consortium; ADHD Working Group of the Psychiatric Genomics Consortium; Berretta, Sabina; Macosko, Evan Z; Sebat, Jonathan; O'Connor, Luke J; Hougaard, David M; Børglum, Anders D; Talkowski, Michael E; McCarroll, Steven A; Robinson, Elise B	November 1, 2022	Not Determined
35982160	Create Study	Rare coding variation provides insight into the genetic architecture and phenotypic context of autism.	Nature genetics	Fu, Jack M; Satterstrom, F Kyle; Peng, Minshi; Brand, Harrison; Collins, Ryan L; Dong, Shan; Wamsley, Brie; Klei, Lambertus; Wang, Lily; Hao, Stephanie P; Stevens, Christine R; Cusick, Caroline; Babadi, Mehrtash; Banks, Eric; Collins, Brett; Dodge, Sheila; Gabriel, Stacey B; Gauthier, Laura; Lee, Samuel K; Liang, Lindsay; Ljungdahl, Alicia; Mahjani, Behrang; Sloofman, Laura; Smirnov, Andrey N; Barbosa, Mafalda; Betancur, Catalina; Brusco, Alfredo; Chung, Brian H Y; Cook, Edwin H; Cuccaro, Michael L; Domenici, Enrico; Ferrero, Giovanni Battista; Gargus, J Jay; Herman, Gail E; Hertz-Picciotto, Irva; Maciel, Patricia; Manoach, Dara S; Passos-Bueno, Maria Rita; Persico, Antonio M; Renieri, Alessandra; Sutcliffe, James S; Tassone, Flora; Trabetti, Elisabetta; Campos, Gabriele; Cardaropoli, Simona; Carli, Diana; Chan, Marcus C Y; Fallerini, Chiara; Giorgio, Elisa; Girardi, Ana Cristina; Hansen-Kiss, Emily; Lee, So Lun; Lintas, Carla; Ludena, Yunin; Nguyen, Rachel; Pavinato, Lisa; Pericak-Vance, Margaret; Pessah, Isaac N; Schmidt, Rebecca J; Smith, Moyra; Costa, Claudia I S; Trajkova, Slavica; Wang, Jaqueline Y T; Yu, Mullin H C; Autism Sequencing Consortium (ASC); Broad Institute Center for Common Disease Genomics (Broad-CCDG); iPSYCH-BROAD Consortium; Cutler, David J; De Rubeis, Silvia; Buxbaum, Joseph D; Daly, Mark J; Devlin, Bernie; Roeder, Kathryn; Sanders, Stephan J; Talkowski, Michael E	September 1, 2022	Not Determined
31410696	Create Study	Early Second Trimester Maternal Serum Steroid-Related Biomarkers Associated with Autism Spectrum Disorder.	Journal of autism and developmental disorders	Bilder, Deborah A; Esplin, M Sean; Coon, Hilary; Burghardt, Paul; Clark, Erin A S; Fraser, Alison; Smith, Ken R; Worsham, Whitney; Chappelle, Katlin; Rayner, Thomas; Bakian, Amanda V	November 2019	Not Determined
30545852	Create Study	Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder.	Science (New York, N.Y.)	An, Joon-Yong; Lin, Kevin; Zhu, Lingxue; Werling, Donna M; Dong, Shan; Brand, Harrison; Wang, Harold Z; Zhao, Xuefang; Schwartz, Grace B; Collins, Ryan L; Currall, Benjamin B; Dastmalchi, Claudia; Dea, Jeanselle; Duhn, Clif; Gilson, Michael C; Klei, Lambertus; Liang, Lindsay; Markenscoff-Papadimitriou, Eirene; Pochareddy, Sirisha; Ahituv, Nadav; Buxbaum, Joseph D; Coon, Hilary; Daly, Mark J; Kim, Young Shin; Marth, Gabor T; Neale, Benjamin M; Quinlan, Aaron R; Rubenstein, John L; Sestan, Nenad; State, Matthew W; Willsey, A Jeremy; Talkowski, Michael E; Devlin, Bernie; Roeder, Kathryn; Sanders, Stephan J	December 2018	Not Determined
30276537	Create Study	Replication of a rare risk haplotype on 1p36.33 for autism spectrum disorder.	Human genetics	Chapman, N H; Bernier, R A; Webb, S J; Munson, J; Blue, E M; Chen, D-H; Heigham, E; Raskind, W H; Wijsman, Ellen M	October 2018	Not Determined
30246047	Create Study	Autism Spectrum Disorder and Neonatal Serum Magnesium Levels in Preterm Infants.	Child neurology open	Bakian, Amanda V; Bilder, Deborah A; Korgenski, E Kent; Bonkowsky, Joshua L	January 2018	Not Determined
29523860	Create Study	Allele-specific expression in a family quartet with autism reveals mono-to-biallelic switch and novel transcriptional processes of autism susceptibility genes.	Scientific reports	Lin, Chun-Yen; Chang, Kai-Wei; Lin, Chia-Yi; Wu, Jia-Ying; Coon, Hilary; Huang, Pei-Hsin; Ho, Hong-Nerng; Akbarian, Schahram; Gau, Susan Shur-Fen; Huang, Hsien-Sung	March 2018	Not Determined
29389935	Create Study	Novel pedigree analysis implicates DNA repair and chromatin remodeling in multiple myeloma risk.	PLoS genetics	Waller, Rosalie G; Darlington, Todd M; Wei, Xiaomu; Madsen, Michael J; Thomas, Alun; Curtin, Karen; Coon, Hilary; Rajamanickam, Venkatesh; Musinsky, Justin; Jayabalan, David; Atanackovic, Djordje; Rajkumar, S Vincent; Kumar, Shaji; Slager, Susan; Middha, Mridu; Galia, Perrine; Demangel, Delphine; Salama, Mohamed; Joseph, Vijai; McKay, James; Offit, Kenneth; Klein, Robert J; Lipkin, Steven M; Dumontet, Charles; Vachon, Celine M; Camp, Nicola J	February 1, 2018	Not Determined
29267877	Create Study	GIGI-Quick: a fast approach to impute missing genotypes in genome-wide association family data.	Bioinformatics (Oxford, England)	Kunji, Khalid; Ullah, Ehsan; Nato Jr, Alejandro Q; Wijsman, Ellen M; Saad, Mohamad	May 2018	Not Determined
29266823	Create Study	Mid-life social outcomes for a population-based sample of adults with ASD.	Autism research : official journal of the International Society for Autism Research	Farley M, Cottle KJ, Bilder D, Viskochil J, Coon H, Mcmahon W	January 2018	Not Determined
28968627	Create Study	Association score testing for rare variants and binary traits in family data with shared controls.	Briefings in bioinformatics	Saad, Mohamad; Wijsman, Ellen M	January 2019	Not Determined
28540026	Create Study	Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia.	Molecular autism	Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium	January 1, 2017	Not Determined
28504703	Create Study	Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders.	Nature genetics	Weiner, Daniel J; Wigdor, Emilie M; Ripke, Stephan; Walters, Raymond K; Kosmicki, Jack A; Grove, Jakob; Samocha, Kaitlin E; Goldstein, Jacqueline I; Okbay, Aysu; Bybjerg-Grauholm, Jonas; Werge, Thomas; Hougaard, David M; Taylor, Jacob; iPSYCH-Broad Autism Group; Psychiatric Genomics Consortium Autism Group; Skuse, David; Devlin, Bernie; Anney, Richard; Sanders, Stephan J; Bishop, Somer; Mortensen, Preben Bo; Børglum, Anders D; Smith, George Davey; Daly, Mark J; Robinson, Elise B	July 2017	Not Determined
28289475	Create Study	Combined genome-wide linkage and targeted association analysis of head circumference in autism spectrum disorder families.	Journal of neurodevelopmental disorders	Woodbury-Smith M, Bilder DA, Morgan J, Jerominski L, Darlington T, Dyer T, Paterson AD, Coon H	January 2017	Not Determined
27980662	Create Study	Estimating relationships between phenotypes and subjects drawn from admixed families.	BMC proceedings	Blue, Elizabeth M; Brown, Lisa A; Conomos, Matthew P; Kirk, Jennifer L; Nato Jr, Alejandro Q; Popejoy, Alice B; Raffa, Jesse; Ranola, John; Wijsman, Ellen M; Thornton, Timothy	January 2016	Not Relevant
27980652	Create Study	Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data.	BMC proceedings	Saad, Mohamad; Nato Jr, Alejandro Q; Grimson, Fiona L; Lewis, Steven M; Brown, Lisa A; Blue, Elizabeth M; Thornton, Timothy A; Thompson, Elizabeth A; Wijsman, Ellen M	January 2016	Not Relevant
27956748	Create Study	Association of rare missense variants in the second intracellular loop of NaV1.7 sodium channels with familial autism.	Molecular psychiatry	Rubinstein, M; Patowary, A; Stanaway, I B; McCord, E; Nesbitt, R R; Archer, M; Scheuer, T; Nickerson, D; Raskind, W H; Wijsman, E M; Bernier, R; Catterall, W A; Brkanac, Z	February 1, 2018	Relevant
27562213	Create Study	VARPRISM: incorporating variant prioritization in tests of de novo mutation association.	Genome medicine	Hu, Hao; Coon, Hilary; Li, Man; Yandell, Mark; Huff, Chad D	August 2016	Not Determined
27535846	Create Study	Multipoint genome-wide linkage scan for nonword repetition in a multigenerational family further supports chromosome 13q as a locus for verbal trait disorders.	Human genetics	Truong DT, Shriberg LD, Smith SD, Chapman KL, Scheer-Cohen AR, Demille MM, Adams AK, Nato AQ, Wijsman EM, Eicher JD, Gruen JR	December 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
27120335	Create Study	Genetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech.	PloS one	Peter B, Wijsman EM, Nato AQ, Matsushita MM, Chapman KL, Stanaway IB, Wolff J, Oda K, Gabo VB, Raskind WH	January 2016	Not Determined
26866700	Create Study	Family-based approaches: design, imputation, analysis, and beyond.	BMC genetics	Wijsman EM	2016	Not Relevant
26231429	Create Study	PBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers.	Bioinformatics (Oxford, England)	Nato Jr, Alejandro Q; Chapman, Nicola H; Sohi, Harkirat K; Nguyen, Hiep D; Brkanac, Zoran; Wijsman, Ellen M	December 1, 2015	Not Relevant
26204995	Create Study	Whole exome sequencing in extended families with autism spectrum disorder implicates four candidate genes.	Human genetics	Chapman, Nicola H; Nato Jr, Alejandro Q; Bernier, Raphael; Ankenman, Katy; Sohi, Harkirat; Munson, Jeff; Patowary, Ashok; Archer, Marilyn; Blue, Elizabeth M; Webb, Sara Jane; Coon, Hilary; Raskind, Wendy H; Brkanac, Zoran; Wijsman, Ellen M	October 2015	Not Determined
25640677	Create Study	Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.	American journal of human genetics	Maier, Robert; Moser, Gerhard; Chen, Guo-Bo; Ripke, Stephan; Cross-Disorder Working Group of the Psychiatric Genomics Consortium; Coryell, William; Potash, James B; Scheftner, William A; Shi, Jianxin; Weissman, Myrna M; Hultman, Christina M; Landén, Mikael; Levinson, Douglas F; Kendler, Kenneth S; Smoller, Jordan W; Wray, Naomi R; Lee, S Hong	February 5, 2015	Not Relevant
25599223	Create Study	Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways.	Nature neuroscience	Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium	February 1, 2015	Not Determined
25519371	Create Study	Identity-by-descent graphs offer a flexible framework for imputation and both linkage and association analyses.	BMC proceedings	Blue, Elizabeth Marchani; Cheung, Charles Yk; Glazner, Christopher G; Conomos, Matthew P; Lewis, Steven M; Sverdlov, Serge; Thornton, Timothy; Wijsman, Ellen M	2014	Not Determined
25519330	Create Study	Estimating and adjusting for ancestry admixture in statistical methods for relatedness inference, heritability estimation, and association testing.	BMC proceedings	Thornton, Timothy; Conomos, Matthew P; Sverdlov, Serge; Blue, Elizabeth M; Cheung, Charles Yk; Glazner, Christopher G; Lewis, Steven M; Wijsman, Ellen M	2014	Not Determined
25392729	Create Study	The Autism Simplex Collection: an international, expertly phenotyped autism sample for genetic and phenotypic analyses.	Molecular autism	Buxbaum JD, Bolshakova N, Brownfeld JM, Anney RJ, Bender P, Bernier R, Cook EH, Coon H, Cuccaro M, Freitag CM, Hallmayer J, Geschwind D, Klauck SM, Nurnberger JI, Oliveira G, Pinto D, Poustka F, Scherer SW, Shih A, Sutcliffe JS, Szatmari P, Vicente AM, Vieland V, Gallagher L	2014	Not Determined
25363760	Create Study	Synaptic, transcriptional and chromatin genes disrupted in autism.	Nature	De Rubeis, Silvia; He, Xin; Goldberg, Arthur P; Poultney, Christopher S; Samocha, Kaitlin; Cicek, A Erucment; Kou, Yan; Liu, Li; Fromer, Menachem; Walker, Susan; Singh, Tarinder; Klei, Lambertus; Kosmicki, Jack; Shih-Chen, Fu; Aleksic, Branko; Biscaldi, Monica; Bolton, Patrick F; Brownfeld, Jessica M; Cai, Jinlu; Campbell, Nicholas G; Carracedo, Angel; Chahrour, Maria H; Chiocchetti, Andreas G; Coon, Hilary; Crawford, Emily L; Curran, Sarah R; Dawson, Geraldine; Duketis, Eftichia; Fernandez, Bridget A; Gallagher, Louise; Geller, Evan; Guter, Stephen J; Hill, R Sean; Ionita-Laza, Juliana; Jimenz Gonzalez, Patricia; Kilpinen, Helena; Klauck, Sabine M; Kolevzon, Alexander; Lee, Irene; Lei, Irene; Lei, Jing; Lehtimäki, Terho; Lin, Chiao-Feng; Ma'ayan, Avi; Marshall, Christian R; McInnes, Alison L; Neale, Benjamin; Owen, Michael J; Ozaki, Noriio; Parellada, Mara; Parr, Jeremy R; Purcell, Shaun; Puura, Kaija; Rajagopalan, Deepthi; Rehnström, Karola; Reichenberg, Abraham; Sabo, Aniko; Sachse, Michael; Sanders, Stephan J; Schafer, Chad; Schulte-Rüther, Martin; Skuse, David; Stevens, Christine; Szatmari, Peter; Tammimies, Kristiina; Valladares, Otto; Voran, Annette; Li-San, Wang; Weiss, Lauren A; Willsey, A Jeremy; Yu, Timothy W; Yuen, Ryan K C; DDD Study; Homozygosity Mapping Collaborative for Autism; UK10K Consortium; Cook, Edwin H; Freitag, Christine M; Gill, Michael; Hultman, Christina M; Lehner, Thomas; Palotie, Aaarno; Schellenberg, Gerard D; Sklar, Pamela; State, Matthew W; Sutcliffe, James S; Walsh, Christiopher A; Scherer, Stephen W; Zwick, Michael E; Barett, Jeffrey C; Cutler, David J; Roeder, Kathryn; Devlin, Bernie; Daly, Mark J; Buxbaum, Joseph D	November 13, 2014	Not Relevant
25313507	Create Study	SLC6A3 coding variant Ala559Val found in two autism probands alters dopamine transporter function and trafficking.	Translational psychiatry	Bowton E, Saunders C, Reddy IA, Campbell NG, Hamilton PJ, Henry LK, Coon H, Sakrikar D, Veenstra-VanderWeele JM, Blakely RD, Sutcliffe J, Matthies HJ, Erreger K, Galli A	2014	Not Determined
25241009	Create Study	Spatial relative risk patterns of autism spectrum disorders in Utah.	Journal of autism and developmental disorders	Bakian AV, Bilder DA, Coon H, McMahon WM	April 2015	Not Determined
25132070	Create Study	Combining family- and population-based imputation data for association analysis of rare and common variants in large pedigrees.	Genetic epidemiology	Saad M, Wijsman EM	November 2014	Not Determined
25112184	Create Study	Value of Mendelian laws of segregation in families: data quality control, imputation, and beyond.	Genetic epidemiology	Blue EM, Sun L, Tintle NL, Wijsman EM	September 2014	Not Determined
24958436	Create Study	Psychiatric comorbidity and medication use in adults with autism spectrum disorder.	Journal of autism and developmental disorders	Buck, Tara R; Viskochil, Joseph; Farley, Megan; Coon, Hilary; McMahon, William M; Morgan, Jubel; Bilder, Deborah A	December 2014	Not Determined
24837662	Create Study	A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.	Nature biotechnology	Hu H, Roach JC, Coon H, Guthery SL, Voelkerding KV, Margraf RL, Durtschi JD, Tavtigian SV, Shankaracharya , Wu W, Scheet P, Wang S, Xing J, Glusman G, Hubley R, Li H, Garg V, Moore B, Hood L, Galas DJ, Srivastava D, Reese MG, Jorde LB, Yandell M, Huff CD	July 2014	Not Determined
24768552	Create Study	Convergence of genes and cellular pathways dysregulated in autism spectrum disorders.	American journal of human genetics	Pinto, Dalila; Delaby, Elsa; Merico, Daniele; Barbosa, Mafalda; Merikangas, Alison; Klei, Lambertus; Thiruvahindrapuram, Bhooma; Xu, Xiao; Ziman, Robert; Wang, Zhuozhi; Vorstman, Jacob A S; Thompson, Ann; Regan, Regina; Pilorge, Marion; Pellecchia, Giovanna; Pagnamenta, Alistair T; Oliveira, Bárbara; Marshall, Christian R; Magalhaes, Tiago R; Lowe, Jennifer K; Howe, Jennifer L; Griswold, Anthony J; Gilbert, John; Duketis, Eftichia; Dombroski, Beth A; De Jonge, Maretha V; Cuccaro, Michael; Crawford, Emily L; Correia, Catarina T; Conroy, Judith; Conceição, Inês C; Chiocchetti, Andreas G; Casey, Jillian P; Cai, Guiqing; Cabrol, Christelle; Bolshakova, Nadia; Bacchelli, Elena; Anney, Richard; Gallinger, Steven; Cotterchio, Michelle; Casey, Graham; Zwaigenbaum, Lonnie; Wittemeyer, Kerstin; Wing, Kirsty; Wallace, Simon; van Engeland, Herman; Tryfon, Ana; Thomson, Susanne; Soorya, Latha; Rogé, Bernadette; Roberts, Wendy; Poustka, Fritz; Mouga, Susana; Minshew, Nancy; McInnes, L Alison; McGrew, Susan G; Lord, Catherine; Leboyer, Marion; Le Couteur, Ann S; Kolevzon, Alexander; Jiménez González, Patricia; Jacob, Suma; Holt, Richard; Guter, Stephen; Green, Jonathan; Green, Andrew; Gillberg, Christopher; Fernandez, Bridget A; Duque, Frederico; Delorme, Richard; Dawson, Geraldine; Chaste, Pauline; Café, Cátia; Brennan, Sean; Bourgeron, Thomas; Bolton, Patrick F; Bölte, Sven; Bernier, Raphael; Baird, Gillian; Bailey, Anthony J; Anagnostou, Evdokia; Almeida, Joana; Wijsman, Ellen M; Vieland, Veronica J; Vicente, Astrid M; Schellenberg, Gerard D; Pericak-Vance, Margaret; Paterson, Andrew D; Parr, Jeremy R; Oliveira, Guiomar; Nurnberger, John I; Monaco, Anthony P; Maestrini, Elena; Klauck, Sabine M; Hakonarson, Hakon; Haines, Jonathan L; Geschwind, Daniel H; Freitag, Christine M; Folstein, Susan E; Ennis, Sean; Coon, Hilary; Battaglia, Agatino; Szatmari, Peter; Sutcliffe, James S; Hallmayer, Joachim; Gill, Michael; Cook, Edwin H; Buxbaum, Joseph D; Devlin, Bernie; Gallagher, Louise; Betancur, Catalina; Scherer, Stephen W	May 1, 2014	Not Determined
24718985	Create Study	Detection of Mendelian consistent genotyping errors in pedigrees.	Genetic epidemiology	Cheung CY, Thompson EA, Wijsman EM	May 2014	Not Determined
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
24507777	Create Study	A statistical framework to guide sequencing choices in pedigrees.	American journal of human genetics	Cheung, Charles Y K; Marchani Blue, Elizabeth; Wijsman, Ellen M	February 6, 2014	Not Determined
24243664	Create Study	Power of family-based association designs to detect rare variants in large pedigrees using imputed genotypes.	Genetic epidemiology	Saad, Mohamad; Wijsman, Ellen M	January 2014	Not Determined
24167172	Create Study	Maternal prenatal weight gain and autism spectrum disorders.	Pediatrics	Bilder DA, Bakian AV, Viskochil J, Clark EA, Botts EL, Smith KR, Pimentel R, McMahon WM, Coon H	November 2013	Not Determined
23943636	Create Study	DRAW+SneakPeek: analysis workflow and quality metric management for DNA-seq experiments.	Bioinformatics (Oxford, England)	Lin CF, Valladares O, Childress DM, Klevak E, Geller ET, Hwang YC, Tsai EA, Schellenberg GD, Wang LS	October 1, 2013	Not Determined
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 Determined
23593035	Create Study	Analysis of rare, exonic variation amongst subjects with autism spectrum disorders and population controls.	PLoS genetics	Liu, Li; Sabo, Aniko; Neale, Benjamin M; Nagaswamy, Uma; Stevens, Christine; Lim, Elaine; Bodea, Corneliu A; Muzny, Donna; Reid, Jeffrey G; Banks, Eric; Coon, Hillary; Depristo, Mark; Dinh, Huyen; Fennel, Tim; Flannick, Jason; Gabriel, Stacey; Garimella, Kiran; Gross, Shannon; Hawes, Alicia; Lewis, Lora; Makarov, Vladimir; Maguire, Jared; Newsham, Irene; Poplin, Ryan; Ripke, Stephan; Shakir, Khalid; Samocha, Kaitlin E; Wu, Yuanqing; Boerwinkle, Eric; Buxbaum, Joseph D; Cook Jr, Edwin H; Devlin, Bernie; Schellenberg, Gerard D; Sutcliffe, James S; Daly, Mark J; Gibbs, Richard A; Roeder, Kathryn	April 2013	Not Determined
23561844	Create Study	GIGI: an approach to effective imputation of dense genotypes on large pedigrees.	American journal of human genetics	Cheung, Charles Y K; Thompson, Elizabeth A; Wijsman, Ellen M	April 4, 2013	Not Determined
23453885	Create Study	Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.	Lancet (London, England)	Cross-Disorder Group of the Psychiatric Genomics Consortium	April 20, 2013	Not Determined
23259942	Create Study	The autism sequencing consortium: large-scale, high-throughput sequencing in autism spectrum disorders.	Neuron	Buxbaum, Joseph D; Daly, Mark J; Devlin, Bernie; Lehner, Thomas; Roeder, Kathryn; State, Matthew W; Autism Sequencing Consortium	December 20, 2012	Not Determined
23008058	Create Study	Excess mortality and causes of death in autism spectrum disorders: a follow up of the 1980s Utah/UCLA autism epidemiologic study.	Journal of autism and developmental disorders	Bilder D, Botts EL, Smith KR, Pimentel R, Farley M, Viskochil J, McMahon WM, Block H, Ritvo E, Ritvo RA, Coon H	May 2013	Not Determined
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

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.

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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.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	1,689	07/15/2013	1,689	11/15/2013	1,689	Approved

You can use "Add New Data Expected" to add exsiting structures and create your project's list. However, this is also the method you can use to request new structures be created for your project. When adding the Data Expected item, if the structure already exists you can locate it and specify your dates and enrollment. To add a new structure and request it be defined in the Data Dictionary, select Upload Definition and attach the definition or material needed to create it, including manual, codebooks, forms, etc. If you have multiple files, please upload a zipped archive containing them all.

Expected dates should be selected based on the standard Data Sharing Regimen and are restricted to within date ranges based on the project start and end dates.

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	42	07/15/2013	42	11/15/2013	42	Approved
Genomics/omics	803	07/15/2013	803	11/15/2013	803	Approved
ABC Community	693	07/15/2013	693	11/15/2013	693	Approved
Leiter International Performance Scale-Revised (Leiter-R)	8	07/15/2013	8	11/15/2013	8	Approved
ADOS	848	07/15/2013	848	11/15/2013	848	Approved
ADI-R	430	07/15/2013	430	11/15/2013	430	Approved
Social Responsiveness Scale (SRS)	1,601	07/15/2013	1,601	11/15/2013	1,601	Approved
Wechsler Abbreviated Scale of Intelligence (WASI)	660	07/15/2013	660	11/15/2013	660	Approved
Comprehensive Test of Phonological Processing (CTOPP)	1,090	07/15/2013	1,090	11/15/2013	1,090	Approved
Social Communication Questionnaire (SCQ)	581	07/15/2013	581	11/15/2013	581	Approved
Broad Autism Phenotype Questionnaire (BAPQ)	482	07/15/2013	482	11/15/2013	482	Approved
Behavior Assessment System for Children (BASC)	466	07/15/2013	466	11/15/2013	466	Approved
Developmental Behavior Checklist	195	07/15/2013	195	11/15/2013	195	Approved
Expanded Token Test	696	07/15/2013	696	11/15/2013	696	Approved
Wechsler Intelligence Scale for Children	166	07/15/2013	166	11/15/2013	166	Approved
DAS-II: Differential Ability Scales	175	07/15/2013	175	11/15/2013	175	Approved
Peabody Picture Vocabulary Test, Fourth Edition	526	07/15/2013	526	11/15/2013	526	Approved
Wechsler Adult Intelligence Scale	444	07/15/2013	444	11/15/2013	444	Approved
Repetitive Behavior Scale - Revised (RBS-R)	224	07/15/2013	224	11/15/2013	224	Approved
Stanford Binet	43	07/15/2013	43	11/15/2013	43	Approved
Physical Exam	1,962	07/15/2013	1,962	11/15/2013	1,962	Approved
Child Anxiety and Depression Scale - Parent (RCAD-P)	443	07/15/2013	443	11/15/2013	443	Approved
Clinical Evaluation of Language Fundamentals (CELF)	571	07/15/2013	571	11/15/2013	571	Approved
Vineland (Parent and Caregiver)	603	07/15/2013	603	11/15/2013	603	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.

Contributing researchers just getting started on their project will need to define this list by adding all of the items they are collecting under their grant and setting their schedule according to the NDA Data Sharing Regimen. If you fall into this category, you can begin by clicking "Add New Data Expected" and selecting which data structures you will be using, saving the page after each change, or requesting new structures by adding and naming a new item, providing any materials NDA Data Dictionary Curators can use to help define your structure. For more information see the tutorial on creating Data Expected.

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.	217/17423	Secondary Analysis	Shared
Controls for SCCRIP	To establish a well characterized cohort for pediatric patients living with sickle cell disease	114/11185	Secondary Analysis	Private
Working Title: Differentiating Core Autism Symptomatology	Autism spectrum disorder (ASD) is characterized by persistent deficits in social communication and social interaction, social-emotional reciprocity, and repetitive behavior or restricted interest (American Psychiatric Association [APA], 2013). This study extends the existing literature by clarifying the extent to which mental health disorder symptoms differentially converge with autism symptoms related to social communication and restricted and repetitive behavior, as well as the extent to which mental health symptoms are empirically differentiated from the core autism symptom domains. Although there is a well-documented correlation between the severity of core ASD symptoms and the presence of mental health disorder symptoms, such as anxiety and irritability, the nature of this linkage remains poorly understood. In this project, the National Database for Autism Research (NDAR) and Research Domain Criteria Database (RDoCdb) were used to observe continuous symptom measures such as the Social Responsiveness Scale (SRS) and the Child Behavior Checklist (CBCL) to examine correlation matrices as well as factor structure models to examine these patterns of association. The SRS “social communication” and “repetitive restricted” subscales were correlated with the CBCL externalizing, internalizing, attention, conduct, aggression, psychosomatic, and withdrawn subscales. We hypothesized that “repetitive and restricted” behaviors would be more correlated with the CBCL scales than would the “social communication” scale. These results were also interpreted according to age and IQ. In conclusion, this study may elucidate ongoing questions about the centrality of mental health symptoms like anxiety to aspects of ASD taxonomy.	1518/11144	Secondary Analysis	Private
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.	36/6323	Secondary Analysis	Shared
The effect of compensatory mechanisms during and after pregnancy on a child's development	Early childhood involves rapid processes of human growth leading to different trajectories in physical, cognitive, social, and emotional development (Graignic-Philippe et al., 2014). These processes are influenced by a wide variety of factors such as maternal health, environmental stressors, and early childhood experiences. Current literature has shown how exposure to both acute and chronic stress during pregnancy have a pathogenetic effect throughout childhood (Kim & Leventhal, 2015; Rice, et al, 2010), leading to neurotypical or atypical development. Studies have shown how these stressors are linked neurodevelopmental disorders such Autism Spectrum Disorders (Zerbo et al., 2015; Atladóttir et al., 2012) or Attention Deficit Hyperactivity Disorder (Rosenqvist et al., 2019). In recent years, there has been a shift from traditional diagnostic research models to synthesis of different scientific fields to map lifecourse development in order for rapid translation into healthcare practices (Halfon et al., 2014). Whilst there are studies showing links between stress and atypical developmental outcomes, there is still very limited literature on compensatory mechanisms found pre- and post-pregnancy, which illustrate development of protective factors (such as presence of self-regulation, high verbal intelligence, sociability, adept social communication) against atypical developmental outcomes. This study aims to identify and measure the presence of these protective factors that appear to guard against or mitigate the emergence of neurodevelopmental disorders. Therefore, nationwide and longitudinal data are needed in order to accurately create risk models in order to map developmental trajectories.	131/5717	Secondary Analysis	Private
Autism Sensory Research Consortium Cross-lab Integrative Data Analysis	Since 2013, when sensory features were officially added to the diagnostic criteria for autism, research into the sensory manifestations of the condition has increased dramatically. However, the majority of this research has primarily been conducted using small laboratory-based samples of children on the autism spectrum, substantially limiting the hypotheses that can be tested in any one dataset and the generalizability of results to the wider autistic population. The Autism Sensory Research Consortium (ASRC), funded by the Nancy Lurie Marks Family Foundation, represents the first major international collaboration of over a dozen research groups that study sensory functioning in autism. As a major thrust of this collaboration, the ASRC has begun a data sharing initiative, in which all participating labs can contribute existing data from their past and present research studies to a centralized database. These “Big Data” can then be systematically examined using powerful large-sample statistical techniques such as structural equation modeling and item response theory, which will allow researchers to test more complex hypotheses regarding the nature of sensory differences in autism and their relationships with sociodemographic and non-sensory clinical features. Once data from all sites has been pooled, it will be analyzed using a method called integrative data analysis, which is specially designed to derive insights from large and heterogeneous samples. One major advantage of this methodology is the ability to construct and test measurement models of sensory symptoms, determining the most appropriate set of questions for assessing each construct and making sure that the scales do not produce biased comparisons when they are examined across diagnostic groups or subsets of the autistic population. Furthermore, measurement models can be constructed to bridge multiple questionnaires, allowing for the calculation of robust composite scores that can be compared between studies that only administered items from one of the contributing questionnaires. These models can further facilitate pooling of data across studies, allowing us to amass even larger datasets to answer questions about sensory function in the autistic population. Furthermore, moving forward, the composite sensory measures from the integrative data analysis can be employed in other studies, providing investigators in sensory autism research with a suite of reliable and valid behavioral measures that can be used as outcomes in trials of interventions targeting these symptoms. In the long term, this project has the potential to help us better understand the nature of sensory function in persons on the spectrum, as well as how sensory alterations relate to broader features of the condition—specifically, for whom and/or at what point in development sensory features are most predictive of core autism behaviors or other meaningful clinical outcomes such as language acquisition and adaptive behavior. Incorporation of neuroscientific data collected within the ASRC can also possibly shed some light on the neural basis of sensory disruptions in the autistic population. All of this will help to lay a foundation for future work testing the efficacy of candidate interventions aimed at improving sensory function and more distal skills in autistic individuals.	4/2110	Secondary Analysis	Private
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.	147/1832	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.	84/1045	Secondary Analysis	Shared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings	Females with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.	161/759	Secondary Analysis	Shared
Can we improve the precision of the ADOS? An application of Item Response Theory	The current study examined the measurement precision of the Autism Diagnostic Observation Schedule (ADOS) across the continuum of severity of autism spectrum disorder (ASD) traits. Modules 3 and 4 of the ADOS assess two domains of ASD (Social Affect and Restrictive and Repetitive Behaviors (RRB)) among verbally fluent adolescents and adults. Currently, scores for these two domains are produced using only a subset of the administered items. Given prior findings demonstrating the poor reliability of the RRB domain, this study examined whether measurement precision of the ASD domains measured by ADOS can be improved by incorporating items that are collected but not scored in the current diagnostic algorithm. Measurement precision is estimated using item response theory (IRT) models, which allows for an examination of reliability across a continuum of ASD domain severity. Results suggest that although the ADOS Module 3 and 4 measuring Social Affect are already very reliable near mean levels of the trait, adding additional items can improve the reliability of scores at moderately low and moderately high levels of Social Affect. However, even with additional items, the ADOS Modules 3 and 4 do not allow for reliable measurement of RRB with adolescents and young adults.	130/423	Secondary Analysis	Private
Identifying Sex-Specific Cognitive and Diagnostic Profiles for Children on the Autism Spectrum		81/252	Secondary Analysis	Private

* Data not on individual level

helpcenter.collection.associated-studies-tab

Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner.

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data.

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public.

Frequently Asked Questions

How do I associate a study to my collection?

Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

Associated Studies Tab

A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.

Contact NDA Help Desk

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