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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

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.
SelectExperiment IdExperiment NameExperiment Type
Created On
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
116Gene Expression Analysis WG-6Omics01/07/2014
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
Collection - Add Experiment
Add Supporting Documentation
Select File

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.

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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic Markers
Irva Hertz-Picciotto 
An extension of the epidemiology project MARBLES (Markers of Autism Risk in Babies Learning Early Signs) to collect 1) extensive behavioral, medical, and exposure data, 2) biologic specimens from the mother and child, and 3) detailed psychometric assessments from birth to 3 years, Exposures of interest are 2 classes of compounds common in household products with known neuro- or neurodevelopmental toxicity: pyrethroid pesticides diphenyl ethers (flame retardants). We assessed associations of self-reported exposure, measurements of internal dose, and toxicologically-derived estimates of biologically effective dose with risk for ASD or other neurobehavioral development impairments. Second, we examined whether the exposure or dose estimates are associated with markers of aberrant immune responses or mitochondrial dysfunction and whether these markers predict clinically confirmed child developmental status at 3 years.
NIMH Data Archive
Funding Completed
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NIH - Extramural None

R01ES020392-01 Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic Markers 08/24/2011 02/28/2017 1650 1554 UNIVERSITY OF CALIFORNIA AT DAVIS $9,025,412.00


NDA Help Center

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).


  • 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.
IDNameCreated DateStatusType
No records found.

NDA Help Center

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.


  • 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.
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 38
Autism Diagnostic Observation Schedule (ADOS) - Module 1 (2007) Clinical Assessments 62
Autism Diagnostic Observation Schedule (ADOS) - Module 2 (2007) Clinical Assessments 20
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 1 Clinical Assessments 31
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2 Clinical Assessments 94
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3 Clinical Assessments 1
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Toddler Module Clinical Assessments 30
Autism Observation Scale for Infants Clinical Assessments 199
CSBS DP Infant-Toddler Checklist Clinical Assessments 254
Child Behavior Checklist (CBCL) 1-5 Clinical Assessments 128
Demographics Clinical Assessments 294
Early Development Questionnaire Clinical Assessments 110
Genomics Sample Genomics 30
M-CHAT Clinical Assessments 152
Mullen Scales of Early Learning Clinical Assessments 259
Parent Concerns Questionaire Clinical Assessments 272
SRS-2. Adult, Preschool and School Age Clinical Assessments 46
Social Communication Questionnaire (SCQ) - Current Form Clinical Assessments 144
Social Responsiveness Scale (SRS) - Preschool Version Clinical Assessments 2
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 111
Vineland-II - Survey Form (2005) Clinical Assessments 3

NDA Help Center

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.


  • 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.

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


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 IDStudyTitleJournalAuthorsDateStatus
38387490Create StudyPrenatal exposure to per- and polyfluoroalkyl substances and child behavioral problems.Environmental researchChoi, Jeong Weon; Oh, Jiwon; Bennett, Deborah H; Calafat, Antonia M; Schmidt, Rebecca J; Shin, Hyeong-MooFebruary 21, 2024Not Determined
38317694Create StudyPrenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies.Environmental health insightsYu, Emma X; Dou, John F; Volk, Heather E; Bakulski, Kelly M; Benke, Kelly; Hertz-Picciotto, Irva; Schmidt, Rebecca J; Newschaffer, Craig J; Feinberg, Jason I; Daniels, Jason; Fallin, Margaret Daniele; Ladd-Acosta, Christine; Hamra, Ghassan BJanuary 1, 2024Not Determined
38045240Create StudyExposure to heavy metals in utero and autism spectrum disorder at age 3: A meta-analysis of two longitudinal cohorts of siblings of children with autism.medRxiv : the preprint server for health sciencesDou, John F; Schmidt, Rebecca J; Volk, Heather E; Nitta, Manon M; Feinberg, Jason I; Newschaffer, Craig J; Croen, Lisa A; Hertz-Picciotto, Irva; Fallin, M Daniele; Bakulski, Kelly MDecember 5, 2023Not Determined
37480437Create StudyA Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates?Journal of autism and developmental disordersPatti, Marisa A; Ning, Xuejuan; Hosseini, Mina; Croen, Lisa A; Joseph, Robert M; Karagas, Margaret R; Ladd-Acosta, Christine; Landa, Rebecca; Messinger, Daniel S; Newschaffer, Craig J; Nguyen, Ruby; Ozonoff, Sally; O'Shea, T Michael; Schmidt, Rebecca J; Trevino, Cindy O; Lyall, KristenJuly 22, 2023Not Determined
37298406Create StudyInvestigating the Urinary Metabolome in the First Year of Life and Its Association with Later Diagnosis of Autism Spectrum Disorder or Non-Typical Neurodevelopment in the MARBLES Study.International journal of molecular sciencesSotelo-Orozco, Jennie; Schmidt, Rebecca J; Slupsky, Carolyn M; Hertz-Picciotto, IrvaMay 29, 2023Not Determined
37004853Create StudyParental occupational exposure to solvents and autism spectrum disorder: An exploratory look at gene-environment interactions.Environmental researchMcCanlies, Erin C; Gu, Ja Kook; Kashon, Michael; Yucesoy, Berran; Ma, Claudia C; Sanderson, Wayne T; Kim, Kyoungmi; Ludeña-Rodriguez, Yunin J; Hertz-Picciotto, IrvaJuly 1, 2023Not Determined
36938498Create StudyMaternal androgens and autism spectrum disorder in the MARBLES prospective cohort study.Research in autism spectrum disordersGranillo, Lauren; Iosif, Ana-Maria; Goodrich, Amanda; Snyder, Nathaniel W; Schmidt, Rebecca JNovember 1, 2022Not Determined
36798220Create StudyEarly childhood exposure to environmental phenols and parabens, phthalates, organophosphate pesticides, and trace elements in association with attention deficit hyperactivity disorder (ADHD) symptoms in the CHARGE study.Research squareOh, Jiwon; Kim, Kyoungmi; Kannan, Kurunthachalam; Parsons, Patrick J; Mlodnicka, Agnieszka; Schmidt, Rebecca J; Schweitzer, Julie B; Hertz-Picciotto, Irva; Bennett, Deborah HFebruary 10, 2023Not Determined
36144233Create StudyMaternal Serum and Placental Metabolomes in Association with Prenatal Phthalate Exposure and Neurodevelopmental Outcomes in the MARBLES Cohort.MetabolitesParenti, Mariana; Schmidt, Rebecca J; Ozonoff, Sally; Shin, Hyeong-Moo; Tancredi, Daniel J; Krakowiak, Paula; Hertz-Picciotto, Irva; Walker, Cheryl K; Slupsky, Carolyn MSeptember 2, 2022Not Determined
36108719Create StudyChildhood exposure to per- and polyfluoroalkyl substances and neurodevelopment in the CHARGE case-control study.Environmental researchOh, Jiwon; Shin, Hyeong-Moo; Kannan, Kurunthachalam; Busgang, Stefanie A; Schmidt, Rebecca J; Schweitzer, Julie B; Hertz-Picciotto, Irva; Bennett, Deborah HDecember 1, 2022Not Determined
35918756Create StudyPrenatal vitamin intake in first month of pregnancy and DNA methylation in cord blood and placenta in two prospective cohorts.Epigenetics & chromatinDou, John F; Middleton, Lauren Y M; Zhu, Yihui; Benke, Kelly S; Feinberg, Jason I; Croen, Lisa A; Hertz-Picciotto, Irva; Newschaffer, Craig J; LaSalle, Janine M; Fallin, Daniele; Schmidt, Rebecca J; Bakulski, Kelly MAugust 2, 2022Not Determined
35904360Create StudyLongitudinal Changes in Maternal Serum Concentrations of Per- and Polyfluoroalkyl Substances from Pregnancy to Two Years Postpartum.Environmental science & technologyOh, Jiwon; Bennett, Deborah H; Tancredi, Daniel J; Calafat, Antonia M; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Shin, Hyeong-MooAugust 16, 2022Not Determined
35168652Create StudyPlacental methylome reveals a 22q13.33 brain regulatory gene locus associated with autism.Genome biologyZhu, Yihui; Gomez, J Antonio; Laufer, Benjamin I; Mordaunt, Charles E; Mouat, Julia S; Soto, Daniela C; Dennis, Megan Y; Benke, Kelly S; Bakulski, Kelly M; Dou, John; Marathe, Ria; Jianu, Julia M; Williams, Logan A; Gutierrez Fugón, Orangel J; Walker, Cheryl K; Ozonoff, Sally; Daniels, Jason; Grosvenor, Luke P; Volk, Heather E; Feinberg, Jason I; Fallin, M Daniele; Hertz-Picciotto, Irva; Schmidt, Rebecca J; Yasui, Dag H; LaSalle, Janine MFebruary 16, 2022Not Determined
35085933Create StudyEnvironmental exposures to pesticides, phthalates, phenols and trace elements are associated with neurodevelopment in the CHARGE study.Environment internationalBennett, Deborah H; Busgang, Stefanie A; Kannan, Kurunthachalam; Parsons, Patrick J; Takazawa, Mari; Palmer, Christopher D; Schmidt, Rebecca J; Doucette, John T; Schweitzer, Julie B; Gennings, Chris; Hertz-Picciotto, IrvaMarch 1, 2022Not Determined
34817155Create StudyVariability of Urinary Concentrations of Phenols, Parabens, and Triclocarban during Pregnancy in First Morning Voids and Pooled Samples.Environmental science & technologyShin, Hyeong-Moo; Oh, Jiwon; Kim, Kyunghoon; Busgang, Stefanie A; Barr, Dana Boyd; Panuwet, Parinya; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Bennett, Deborah HDecember 7, 2021Not Determined
34436486Create StudyMaternal Plasma Metabolic Profile Demarcates a Role for Neuroinflammation in Non-Typical Development of Children.MetabolitesSchmidt, Rebecca J; Liang, Donghai; Busgang, Stefanie A; Curtin, Paul; Giulivi, CeciliaAugust 18, 2021Not Determined
34347462Create StudyTemporal Trends of Phenol, Paraben, and Triclocarban Exposure in California Pregnant Women during 2007-2014.Environmental science & technologyKim, Kyunghoon; Shin, Hyeong-Moo; Busgang, Stefanie A; Barr, Dana Boyd; Panuwet, Parinya; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Bennett, Deborah HAugust 17, 2021Not Determined
34098718Create StudyQuantification of Nonpersistent Pesticides in Small Volumes of Human Breast Milk with Ultrahigh Performance Liquid Chromatography Coupled to Tandem Mass Spectrometry.Journal of agricultural and food chemistryPedersen, Theresa L; Smilowitz, Jennifer T; Winter, Carl K; Emami, Shiva; Schmidt, Rebecca J; Bennett, Deborah H; Hertz-Picciotto, Irva; Taha, Ameer YJune 16, 2021Not Determined
33647299Create StudyPrenatal exposure to per- and polyfluoroalkyl substances and cognitive development in infancy and toddlerhood.Environmental researchOh, Jiwon; Schmidt, Rebecca J; Tancredi, Daniel; Calafat, Antonia M; Roa, Dorcas L; Hertz-Picciotto, Irva; Shin, Hyeong-MooMay 1, 2021Not Determined
33387879Create StudyPrenatal exposure to per- and polyfluoroalkyl substances in association with autism spectrum disorder in the MARBLES study.Environment internationalOh, Jiwon; Bennett, Deborah H; Calafat, Antonia M; Tancredi, Daniel; Roa, Dorcas L; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Shin, Hyeong-MooFebruary 1, 2021Not Determined
33220244Create StudyIn utero pyrethroid pesticide exposure in relation to autism spectrum disorder (ASD) and other neurodevelopmental outcomes at 3 years in the MARBLES longitudinal cohort.Environmental researchBarkoski, Jacqueline M; Philippat, Claire; Tancredi, Daniel; Schmidt, Rebecca J; Ozonoff, Sally; Barr, Dana Boyd; Elms, William; Bennett, Deborah H; Hertz-Picciotto, IrvaMarch 1, 2021Not Determined
33054850Create StudyCord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes.Genome medicineMordaunt, Charles E; Jianu, Julia M; Laufer, Benjamin I; Zhu, Yihui; Hwang, Hyeyeon; Dunaway, Keith W; Bakulski, Kelly M; Feinberg, Jason I; Volk, Heather E; Lyall, Kristen; Croen, Lisa A; Newschaffer, Craig J; Ozonoff, Sally; Hertz-Picciotto, Irva; Fallin, M Daniele; Schmidt, Rebecca J; LaSalle, Janine MOctober 14, 2020Not Determined
32940456Create StudyTemporal Trends of Exposure to Phthalates and Phthalate Alternatives in California Pregnant Women during 2007-2013: Comparison with Other Populations.Environmental science & technologyShin, Hyeong-Moo; Dhar, Upasana; Calafat, Antonia M; Nguyen, Vy; Schmidt, Rebecca J; Hertz-Picciotto, IrvaOctober 20, 2020Not Determined
32314879Create StudyThe Association Between Parental Age and Autism-Related Outcomes in Children at High Familial Risk for Autism.Autism research : official journal of the International Society for Autism ResearchLyall, Kristen; Song, Lanxin; Botteron, Kelly; Croen, Lisa A; Dager, Stephen R; Fallin, M Daniele; Hazlett, Heather C; Kauffman, Elizabeth; Landa, Rebecca; Ladd-Acosta, Christine; Messinger, Daniel S; Ozonoff, Sally; Pandey, Juhi; Piven, Joseph; Schmidt, Rebecca J; Schultz, Robert T; Stone, Wendy L; Newschaffer, Craig J; Volk, Heather EJune 2020Not Determined
31958995Create StudyMaternal polyunsaturated fatty acids and risk for autism spectrum disorder in the MARBLES high-risk study.Autism : the international journal of research and practiceHuang, Yunru; Iosif, Ana-Maria; Hansen, Robin L; Schmidt, Rebecca JJuly 1, 2020Not Determined
31627027Create StudyPrenatal phenol and paraben exposures in relation to child neurodevelopment including autism spectrum disorders in the MARBLES study.Environmental researchBarkoski, Jacqueline M; Busgang, Stefanie A; Bixby, Moira; Bennett, Deborah; Schmidt, Rebecca J; Barr, Dana Boyd; Panuwet, Parinya; Gennings, Chris; Hertz-Picciotto, IrvaDecember 2019Not Determined
31086561Create StudyMaternal metabolic profile predicts high or low risk of an autism pregnancy outcome.Research in autism spectrum disordersHollowood, Kathryn; Melnyk, Stepan; Pavliv, Oleksandra; Evans, Teresa; Sides, Ashley; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Elms, William; Guerrero, Elizabeth; Kruger, Uwe; Hahn, Juergen; James, S JillDecember 2018Not Determined
30665119Create StudyPolychlorinated biphenyls influence on autism spectrum disorder risk in the MARBLES cohort.Environmental researchGranillo, Lauren; Sethi, Sunjay; Keil, Kimberly P; Lin, Yanping; Ozonoff, Sally; Iosif, Ana-Maria; Puschner, Birgit; Schmidt, Rebecca JApril 2019Not Determined
30518373Create StudyPrenatal exposure to phthalates and autism spectrum disorder in the MARBLES study.Environmental health : a global access science sourceShin, Hyeong-Moo; Schmidt, Rebecca J; Tancredi, Daniel; Barkoski, Jacqueline; Ozonoff, Sally; Bennett, Deborah H; Hertz-Picciotto, IrvaDecember 2018Not Determined
30477814Create StudyVariability of urinary concentrations of phthalate metabolites during pregnancy in first morning voids and pooled samples.Environment internationalShin, Hyeong-Moo; Bennett, Deborah H; Barkoski, Jacqueline; Ye, Xiaoyun; Calafat, Antonia M; Tancredi, Daniel; Hertz-Picciotto, IrvaJanuary 2019Not Determined
30465702Create StudyA Prospective Study of Environmental Exposures and Early Biomarkers in Autism Spectrum Disorder: Design, Protocols, and Preliminary Data from the MARBLES Study.Environmental health perspectivesHertz-Picciotto, Irva; Schmidt, Rebecca J; Walker, Cheryl K; Bennett, Deborah H; Oliver, McKenzie; Shedd-Wise, Kristine M; LaSalle, Janine M; Giulivi, Cecilia; Puschner, Birgit; Thomas, Jennifer; Roa, Dorcas L; Pessah, Isaac N; Van de Water, Judy; Tancredi, Daniel J; Ozonoff, SallyNovember 2018Not Determined
29860212Create StudyVariability of urinary pesticide metabolite concentrations during pregnancy in the MARBLES Study.Environmental researchBarkoski, Jacqueline; Bennett, Deborah; Tancredi, Daniel; Barr, Dana Boyd; Elms, William; Hertz-Picciotto, IrvaAugust 2018Not Determined
29573218Create StudyUnderstanding environmental contributions to autism: Causal concepts and the state of science.Autism research : official journal of the International Society for Autism ResearchHertz-Picciotto I, Schmidt RJ, Krakowiak PApril 2018Not Determined
29478806Create StudyPrenatal exposure to organophosphate pesticides and risk of autism spectrum disorders and other non-typical development at 3 years in a high-risk cohort.International journal of hygiene and environmental healthPhilippat, Claire; Barkoski, Jacqueline; Tancredi, Daniel J; Elms, Bill; Barr, Dana Boyd; Ozonoff, Sally; Bennett, Deborah H; Hertz-Picciotto, IrvaApril 2018Not Determined
29451060Create StudyCord blood buffy coat DNA methylation is comparable to whole cord blood methylation.EpigeneticsDou, John; Schmidt, Rebecca J; Benke, Kelly S; Newschaffer, Craig; Hertz-Picciotto, Irva; Croen, Lisa A; Iosif, Ana-Maria; LaSalle, Janine M; Fallin, M Daniele; Bakulski, Kelly MJanuary 2018Not Determined
28924500Create StudyComparison of polybrominated diphenyl ethers (PBDEs) and polychlorinated biphenyls (PCBs) in the serum of hypothyroxinemic and euthyroid dogs.PeerJLau, Grace; Walter, Kyla; Kass, Philip; Puschner, BirgitJanuary 1, 2017Not Determined
28781890Create StudySelf-reported pregnancy exposures and placental DNA methylation in the MARBLES prospective autism sibling study.Environmental epigeneticsSchmidt, Rebecca J; Schroeder, Diane I; Crary-Dooley, Florence K; Barkoski, Jacqueline M; Tancredi, Daniel J; Walker, Cheryl K; Ozonoff, Sally; Hertz-Picciotto, Irva; LaSalle, Janine MDecember 2016Not Relevant
28426942Create StudyPolychlorinated biphenyl and polybrominated diphenyl ether profiles in serum from cattle, sheep, and goats across California.ChemosphereSethi, S; Chen, X; Kass, P H; Puschner, BAugust 2017Not Relevant
28143888Create StudyDivergent Mechanisms Leading to Signaling Dysfunction in Embryonic Muscle by Bisphenol A and Tetrabromobisphenol A.Molecular pharmacologyZhang, Rui; Pessah, Isaac NApril 2017Not Relevant
28085917Create StudyQuantification of Polychlorinated Biphenyls and Polybrominated Diphenyl Ethers in Commercial Cows'' Milk from California by Gas Chromatography-Triple Quadruple Mass Spectrometry.PloS oneChen, Xiaopeng; Lin, Yanping; Dang, Katherine; Puschner, BirgitJanuary 1, 2017Not Determined
28055307Create StudyA comparison of existing global DNA methylation assays to low-coverage whole-genome bisulfite sequencing for epidemiological studies.EpigeneticsCrary-Dooley, Florence K; Tam, Mitchell E; Dunaway, Keith W; Hertz-Picciotto, Irva; Schmidt, Rebecca J; LaSalle, Janine MMarch 2017Not Relevant
28018572Create StudyPlacental methylome analysis from a prospective autism study.Molecular autismSchroeder, Diane I; Schmidt, Rebecca J; Crary-Dooley, Florence K; Walker, Cheryl K; Ozonoff, Sally; Tancredi, Daniel J; Hertz-Picciotto, Irva; LaSalle, Janine MJanuary 2016Not Determined
27974215Create StudyCumulative Impact of Polychlorinated Biphenyl and Large Chromosomal Duplications on DNA Methylation, Chromatin, and Expression of Autism Candidate Genes.Cell reportsDunaway, Keith W; Islam, M Saharul; Coulson, Rochelle L; Lopez, S Jesse; Vogel Ciernia, Annie; Chu, Roy G; Yasui, Dag H; Pessah, Isaac N; Lott, Paul; Mordaunt, Charles; Meguro-Horike, Makiko; Horike, Shin-Ichi; Korf, Ian; LaSalle, Janine MDecember 2016Not Determined
27335370Create StudyWarburg effect linked to cognitive-executive deficits in FMR1 premutation.FASEB journal : official publication of the Federation of American Societies for Experimental BiologyNapoli, Eleonora; Song, Gyu; Schneider, Andrea; Hagerman, Randi; Eldeeb, Marwa Abd Al Azaim; Azarang, Atoosa; Tassone, Flora; Giulivi, CeciliaOctober 2016Not Relevant
27089882Create StudyAltered Bioenergetics in Primary Dermal Fibroblasts from Adult Carriers of the FMR1 Premutation Before the Onset of the Neurodegenerative Disease Fragile X-Associated Tremor/Ataxia Syndrome.Cerebellum (London, England)Napoli, Eleonora; Song, Gyu; Wong, Sarah; Hagerman, Randi; Giulivi, CeciliaOctober 1, 2016Not Determined
27071785Create StudyAutism, Mitochondria and Polybrominated Diphenyl Ether Exposure.CNS & neurological disorders drug targetsWong, Sarah; Giulivi, CeciliaJanuary 2016Not Relevant
27033107Create StudyRole of p53, Mitochondrial DNA Deletions, and Paternal Age in Autism: A Case-Control Study.PediatricsWong, Sarah; Napoli, Eleonora; Krakowiak, Paula; Tassone, Flora; Hertz-Picciotto, Irva; Giulivi, CeciliaApril 2016Not Determined
26309815Create StudyImpact of a novel homozygous mutation in nicotinamide nucleotide transhydrogenase on mitochondrial DNA integrity in a case of familial glucocorticoid deficiency.BBA clinicalFujisawa, Yasuko; Napoli, Eleonora; Wong, Sarah; Song, Gyu; Yamaguchi, Rie; Matsui, Toshiharu; Nagasaki, Keisuke; Ogata, Tsutomu; Giulivi, CeciliaJune 1, 2015Not Determined
25929801Create StudyExposure to select phthalates and phenols through use of personal care products among Californian adults and their children.Environmental researchPhilippat, Claire; Bennett, Deborah; Calafat, Antonia M; Picciotto, Irva HertzJuly 2015Not Determined
25884939Create StudyPolybrominated diphenyl ether serum concentrations in a Californian population of children, their parents, and older adults: an exposure assessment study.Environmental health : a global access science sourceWu XM, Bennett DH, Moran RE, Sjödin A, Jones RS, Tancredi DJ, Tulve NS, Clifton MS, Colón M, Weathers W, Hertz-Picciotto I2015Not Determined
25583085Create StudyRapid throughput analysis demonstrates that chemicals with distinct seizurogenic mechanisms differentially alter Ca2+ dynamics in networks formed by hippocampal neurons in culture.Molecular pharmacologyCao, Zhengyu; Zou, Xiaohan; Cui, Yanjun; Hulsizer, Susan; Lein, Pamela J; Wulff, Heike; Pessah, Isaac NApril 2015Not Determined
25249546Create StudyMaternal intake of supplemental iron and risk of autism spectrum disorder.American journal of epidemiologySchmidt, Rebecca J; Tancredi, Daniel J; Krakowiak, Paula; Hansen, Robin L; Ozonoff, SallyNovember 1, 2014Not Determined
25136376Create StudyMouse models of the fragile X premutation and fragile X-associated tremor/ataxia syndrome.Journal of neurodevelopmental disordersBerman RF, Buijsen RA, Usdin K, Pintado E, Kooy F, Pretto D, Pessah IN, Nelson DL, Zalewski Z, Charlet-Bergeurand N, Willemsen R, Hukema RK2014Not Determined
25072037Create StudyPotential therapeutic use of the ketogenic diet in autism spectrum disorders.Frontiers in pediatricsNapoli, Eleonora; Dueñas, Nadia; Giulivi, Cecilia2014Not Determined
24809045Create StudyGrand challenges in cellular biochemistry: the "next-gen" biochemistry.Frontiers in chemistryGiulivi, CeciliaJanuary 1, 2014Not Determined
24753527Create StudyDeficits in bioenergetics and impaired immune response in granulocytes from children with autism.PediatricsNapoli E, Wong S, Hertz-Picciotto I, Giulivi CMay 2014Not Determined
24518932Create StudyMaternal lifestyle and environmental risk factors for autism spectrum disorders.International journal of epidemiologyLyall, Kristen; Schmidt, Rebecca J; Hertz-Picciotto, IrvaApril 2014Not Determined
24482397Create StudyNanomolar bifenthrin alters synchronous Ca2+ oscillations and cortical neuron development independent of sodium channel activity.Molecular pharmacologyCao, Zhengyu; Cui, Yanjun; Nguyen, Hai M; Jenkins, David Paul; Wulff, Heike; Pessah, Isaac NApril 2014Not Determined
24174710Create StudyGestational exposure to a viral mimetic poly(i:C) results in long-lasting changes in mitochondrial function by leucocytes in the adult offspring.Mediators of inflammationGiulivi, Cecilia; Napoli, Eleonora; Schwartzer, Jared; Careaga, Milo; Ashwood, Paul2013Not Determined
24118221Create StudyDetermining source strength of semivolatile organic compounds using measured concentrations in indoor dust.Indoor airShin HM, Mckone TE, Nishioka MG, Fallin MD, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Bennett DHJune 2014Not Relevant
23962276Create StudyTemporal variation of residential pesticide use and comparison of two survey platforms: a longitudinal study among households with young children in Northern California.Environmental health : a global access science sourceWu XM, Bennett DH, Ritz B, Tancredi DJ, Hertz-Picciotto IAugust 2013Not Relevant
23708622Create StudySimultaneous determination of polybrominated diphenyl ethers and polychlorinated biphenyls by gas chromatography-tandem mass spectrometry in human serum and plasma.TalantaLin, Yan-ping; Pessah, Isaac N; Puschner, BirgitSeptember 15, 2013Not Determined
23623455Create StudyTrophoblast inclusions are significantly increased in the placentas of children in families at risk for autism.Biological psychiatryWalker, Cheryl K; Anderson, Kaitlin W; Milano, Kristin M; Ye, Saier; Tancredi, Daniel J; Pessah, Isaac N; Hertz-Picciotto, Irva; Kliman, Harvey JAugust 1, 2013Not Determined
23288049Create StudyToxicity of the flame-retardant BDE-49 on brain mitochondria and neuronal progenitor striatal cells enhanced by a PTEN-deficient background.Toxicological sciences : an official journal of the Society of ToxicologyNapoli, Eleonora; Hung, Connie; Wong, Sarah; Giulivi, CeciliaMarch 2013Not Determined
23086694Create StudyToxicokinetic modeling of persistent organic pollutant levels in blood from birth to 45 months of age in longitudinal birth cohort studies.Environmental health perspectivesVerner MA, Sonneborn D, Lancz K, Muckle G, Ayotte P, Dewailly É, Kocan A, Palkovicová L, Trnovec T, Haddad S, Hertz-Picciotto I, Eggesbø MJanuary 2013Not Determined
22900024Create StudyMitochondrial dysfunction in Pten haplo-insufficient mice with social deficits and repetitive behavior: interplay between Pten and p53.PloS oneNapoli, Eleonora; Ross-Inta, Catherine; Wong, Sarah; Hung, Connie; Fujisawa, Yasuko; Sakaguchi, Danielle; Angelastro, James; Omanska-Klusek, Alicja; Schoenfeld, Robert; Giulivi, Cecilia2012Not Determined
22719983Create StudyLack of evidence for neonatal misoprostol neurodevelopmental toxicity in C57BL6/J mice.PloS oneKoenig CM, Walker CK, Qi L, Pessah IN, Berman RF2012Not Determined
22492772Create StudyMaternal metabolic conditions and risk for autism and other neurodevelopmental disorders.PediatricsKrakowiak, Paula; Walker, Cheryl K; Bremer, Andrew A; Baker, Alice S; Ozonoff, Sally; Hansen, Robin L; Hertz-Picciotto, IrvaMay 2012Not Determined

NDA Help Center

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).


  • 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.
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 ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
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 ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Mullen Scales of Early Learning info icon
Genomics/omics info icon
ADOS info icon
ADI-R info icon
Early Development Questionnaire info icon
Social Responsiveness Scale (SRS) info icon
Social Communication Questionnaire (SCQ) info icon
Demographics info icon
Child Behavior Checklist (CBCL) info icon
M-CHAT info icon
Enviromental Evaluation info icon
Autism Observation Scale for Infants (AOSI) info icon
Communication and Symbolic Behavior Scales (CSBS) info icon
Parent Concerns Questionaire info icon
Vineland (Parent and Caregiver) info icon
Structure not yet defined
No Status history for this Data Expected has been recorded yet

NDA Help Center

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.


  • 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.

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 NameAbstractCollection/Study SubjectsData UsageState
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.259/17423Secondary AnalysisShared
The importance of low IQ to early diagnosis of autismSome 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. 259/6323Secondary AnalysisShared
Prognostic early snapshot stratification of autism based on adaptive functioningA 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.22/3517Secondary AnalysisShared
Investigating autism etiology and heterogeneity by decision tree algorithmAutism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism. 69/3382Secondary AnalysisShared
Psychometric Analysis of the Social Communication Questionnaire Using an Item-Response Theory Framework: Implications for the Use of the Lifetime and Current FormsThe Social Communication Questionnaire (SCQ) was developed as a screener of Autism Spectrum Disorder (ASD). To date, the majority of the SCQ utility studies focused on its external validity (e.g., ROC curve analyses), but very few have addressed the internal validity issues. With samples consisting of 2,134 individuals available from the National Database for Autism Research (NDAR), the current study examined the factor structure, item-level characteristics, and measurement equivalence of the SCQ forms (i.e., Lifetime form and Current form) using both the classical true score theory and the item response theory (IRT). While our findings indicate sufficient psychometric properties of the SCQ Lifetime form, measurement issues emerged with respect to the SCQ Current form. These issues include lower internal consistencies, a weaker factor structure, lower item discriminations, significant pseudo-guessing effects, and subscale-level measurement bias. Thus, we caution researchers and clinicians about the use of the SCQ Current form. In particular, it seems inappropriate to use the Current form as an alternative to the Lifetime form among children younger than 5 years old or under other special situations (e.g., teacher-report data), although such practices were advised by the publisher of the SCQ. Instead, we recommend modifying the wording of the Lifetime form items rather than switching to the Current form where a 3-month timeframe is specified for responding to SCQ items. Future studies may consider investigating the association between the temporality of certain behaviors and the individual’s potential for being diagnosed with ASD, as well as the age neutrality of the SCQ.4/2054Secondary AnalysisShared
Imbalanced social-communicative and restricted repetitive behavior subtypes in autism spectrum disorder exhibit different neural circuitrySocial-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.26/1708Secondary AnalysisShared
Revising the Social Communication Questionnaire scoring procedures for Autism Spectrum Disorder and potential Social Communication DisorderIn analyzing data from the National Database for Autism Research, we examine revising the Social Communication Questionnaire (SCQ), a commonly used screening instrument for Autism Spectrum Disorder. A combination of Item Response Theory and Mokken scaling techniques were utilized to achieve this and abbreviated scoring of the SCQ is suggested. The psychometric sensitivity of this abbreviated SCQ was examined via bootstrapped Receiver Operator Characteristic (ROC) curve analyses. Additionally, we examined the sensitivity of the abbreviated and total scaled SCQ as it relates to a potential diagnosis of Social (Pragmatic) Communication Disorder (SCD). As SCD is a new disorder introduced with the fifth edition of the Diagnostic and Statistical Manual (DSM-5), we identified individuals with potential diagnosis of SCD among individuals with ASD via mixture modeling techniques using the same NDAR data. These analyses revealed two classes or clusters of individuals when considering the two core areas of impairment among individuals with ASD: social communication and restricted, repetitive patterns of behavior. 40/889Secondary AnalysisShared
* Data not on individual level

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Collection - Associated Studies

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