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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
24HI-NGS_R1Omics02/16/2011
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
506PVPREFOmics08/05/2016
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
26ASD_MethylationOmics03/01/2011
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
41ImmunofluorescenceOmics05/11/2011
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
519RestingfMRI11/08/2016
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
145AGRE/FMR1_Illumina.JHUOmics04/14/2014
146AGRE/MECP2_Sanger.JHUOmics04/14/2014
147AGRE/MECP2_Junior.JHUOmics04/14/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
155RestingfMRI07/25/2014
156SpeechfMRI07/25/2014
159EmotionfMRI07/25/2014
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
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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
Environmental Influence on Infant Microbiome Development and ASD Symptoms
Irva Hertz-Picciotto 
We propose to characterize associations among the fecal microbiome, the fecal glycome, and measures of household environmental exposures in infants who do and do not subsequently develop autism spectrum disorder (ASD) from the MARBLES cohort. One of the most common co-morbidities in autism are gastrointestinal problems, and the presence of frequent symptoms of diarrhea or constipation is associated with more severe symptoms. However, virtually all research on GI dysfunction in ASD to date has been conducted after the ASD diagnosis has been made, thus not allowing for examination of temporal relationships between GI dysbiosis and the onset of ASD. Moreover, few underlying biologic mechanisms have been identified. Increasingly, the prominent but insufficiently characterized, role of the microbiota in human health has been recognized. Environmental influences on individual gut microbiota profiles are also coming under scrutiny, but there has been very little work on the impact of chemical exposures on the microbiome. Taking advantage of data and samples available from a large, prospective pregnancy study of high-risk infant siblings of children with autism, this project seeks to investigate the development in early postnatal life of the individual profiles of the gut microbiome, the environmental chemical influences on these, and their relationship to GI symptoms and to the subsequent development of autism and its early signs. Our overarching hypothesis is that environmental exposures common in developing countries influence the developing intestinal microbiota and intestinal permeability in the first year of life and that the resultant dysbiosis and gut leakiness increase risk for development of ASD. With an established interdisciplinary team at the cutting edge of the microbiome and glycome measurement, we will use recently developed effective techniques to quantify fecal milk glycans and milk glycan monomers that are clear drivers for intestinal health or dysbiosis in the developing infant gut microbiome. We will apply an innovative mechanistic framework that incorporates a number of known or suspected factors in GI dysfunction in ASD, including a compromised intestinal barrier, and links exposure to environmental toxins, GI outcomes, and ASD. Establishing associations between the maternal and child environment, the developing infant gut microbiome, and onset of ASD symptomology and diagnosis would set the stage for mechanistic studies examining ways to shift the infant microbiota away from onset of dysbiosis during the first year of life which is a critical developmental period with potential implications for neurodevelopmental outcomes.
NIMH Data Archive
12/07/2016
Funding Completed
Close Out
No
$4,483,295.00
716
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NIH - Extramural None

QA-notification.txt Other Quality Assurance Notification Qualified Researchers


R01ES028089-01 Environmental Influence on Infant Microbiome Development and ASD Symptoms 09/30/2016 07/31/2021 1649 943 UNIVERSITY OF CALIFORNIA AT DAVIS $2,155,307.00
R24ES028533-01 BUILDS MARBLES: Biorepository Upkeep and Infrastructure for Longitudinal Data Sharing for MARBLES 09/30/2017 10/31/2027 794 1002 UNIVERSITY OF CALIFORNIA AT DAVIS $2,327,988.00

helpcenter.collection.general-tab

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).

Glossary

  • Administrator Privilege
    A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
  • Collection Owner
    Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
  • Collection Phase
    The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
    • Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
    • Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
    • Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed: A grant/project has reached the project end date.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • Grant
    Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
  • Supporting Documentation
    Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • Planned Enrollment
    Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • NDA Collection
    A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
  • Data Use Limitations
    Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
  • Total Subjects Shared
    The total number of unique subjects for whom data have been shared and are available for users with permission to access data.
IDNameCreated DateStatusType
No records found.
helpcenter.collection.experiments-tab

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.

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.
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 64
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 1 Clinical Assessments 66
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2 Clinical Assessments 161
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Toddler Module Clinical Assessments 163
Autism Observation Scale for Infants Clinical Assessments 269
CSBS DP Infant-Toddler Checklist Clinical Assessments 348
Child Behavior Checklist (CBCL) 1-5 Clinical Assessments 237
Demographics Clinical Assessments 382
Early Development Questionnaire Clinical Assessments 140
M-CHAT Clinical Assessments 260
Mullen Scales of Early Learning Clinical Assessments 343
Parent Chemical or Substance Exposure Clinical Assessments 332
Parent Concerns Questionaire Clinical Assessments 364
Research Subject Clinical Assessments 705
SRS-2. Adult, Preschool and School Age Clinical Assessments 205
Social Communication Questionnaire (SCQ) - Current Form Clinical Assessments 236
Social Responsiveness Scale (SRS) Clinical Assessments 424
Stress Survey Clinical Assessments 333
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 219
helpcenter.collection.shared-data-tab

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.

Glossary

  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Type
    A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
  • Shared
    The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

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 IDStudyTitleJournalAuthorsDateStatus
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
37623848Create StudyAssessing Repeated Urinary Proline Betaine Measures as a Biomarker of Usual Citrus Intake during Pregnancy: Sources of Within-Person Variation and Correlation with Reported Intake.MetabolitesFrench, Caitlin D; Arnold, Charles D; Taha, Ameer Y; Engle-Stone, Reina; Schmidt, Rebecca J; Hertz-Picciotto, Irva; Slupsky, Carolyn MAugust 2, 2023Not Determined
37600935Create StudyExamining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts.Current developments in nutritionLyall, Kristen; Rando, Juliette; Wang, Siwen; Hamra, Ghassan B; Chavarro, Jorge; Weisskopf, Marc G; Croen, Lisa A; Fallin, M Daniele; Hertz-Picciotto, Irva; Volk, Heather E; Schmidt, Rebecca J; Newschaffer, Craig JAugust 1, 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
37147034Create StudyGreater Gestational Vitamin D Status is Associated with Reduced Childhood Behavioral Problems in the Environmental Influences on Child Health Outcomes Program.The Journal of nutritionMelough, Melissa M; Li, Mingyi; Hamra, Ghassan; Palmore, Meredith; Sauder, Katherine A; Dunlop, Anne L; LeWinn, Kaja Z; Zhao, Qi; Kelly, Rachel S; Switkowski, Karen M; Hipwell, Alison E; Korrick, Susan A; Collett, Brent R; MacKenzie, Debra; Nozadi, Sara S; Kerver, Jean M; Schmidt, Rebecca J; McGrath, Monica; Sathyanarayana, Sheela; program collaborators for Environmental influences on Child Health OutcomesMay 1, 2023Not Determined
37116678Create StudyAssociations of prenatal exposure to a mixture of persistent organic pollutants with social traits and cognitive and adaptive function in early childhood: Findings from the EARLI study.Environmental researchSong, Ashley Y; Kauffman, Elizabeth M; Hamra, Ghassan B; Dickerson, Aisha S; Croen, Lisa A; Hertz-Picciotto, Irva; Schmidt, Rebecca J; Newschaffer, Craig J; Fallin, M Daniele; Lyall, Kristen; Volk, Heather EJuly 15, 2023Not Determined
37093107Create StudyA meta-analysis of epigenome-wide association studies on pregnancy vitamin B12 concentrations and offspring DNA methylation.EpigeneticsMonasso, Giulietta S; Hoang, Thanh T; Mancano, Giulia; Fernández-Barrés, Sílvia; Dou, John; Jaddoe, Vincent W V; Page, Christian M; Johnson, Laura; Bustamante, Mariona; Bakulski, Kelly M; Håberg, Siri E; Ueland, Per M; Battram, Thomas; Merid, Simon K; Melén, Erik; Caramaschi, Doretta; Küpers, Leanne K; Sunyer, Jordi; Nystad, Wenche; Heil, Sandra G; Schmidt, Rebecca J; Vrijheid, Martine; Sharp, Gemma C; London, Stephanie J; Felix, Janine FDecember 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
36920051Create StudyBirth Outcomes in Relation to Prenatal Exposure to Per- and Polyfluoroalkyl Substances and Stress in the Environmental Influences on Child Health Outcomes (ECHO) Program.Environmental health perspectivesPadula, Amy M; Ning, Xuejuan; Bakre, Shivani; Barrett, Emily S; Bastain, Tracy; Bennett, Deborah H; Bloom, Michael S; Breton, Carrie V; Dunlop, Anne L; Eick, Stephanie M; Ferrara, Assiamira; Fleisch, Abby; Geiger, Sarah; Goin, Dana E; Kannan, Kurunthachalam; Karagas, Margaret R; Korrick, Susan; Meeker, John D; Morello-Frosch, Rachel; O'Connor, Thomas G; Oken, Emily; Robinson, Morgan; Romano, Megan E; Schantz, Susan L; Schmidt, Rebecca J; Starling, Anne P; Zhu, Yeyi; Hamra, Ghassan B; Woodruff, Tracey J; program collaborators for Environmental influences on Child Health OutcomesMarch 1, 2023Not Determined
36841563Create StudyIntergenerational transmission of the effects of maternal exposure to childhood maltreatment in the USA: a retrospective cohort study.The Lancet. Public healthMoog, Nora K; Cummings, Peter D; Jackson, Kathryn L; Aschner, Judy L; Barrett, Emily S; Bastain, Theresa M; Blackwell, Courtney K; Bosquet Enlow, Michelle; Breton, Carrie V; Bush, Nicole R; Deoni, Sean C L; Duarte, Cristiane S; Ferrara, Assiamira; Grant, Torie L; Hipwell, Alison E; Jones, Kathryn; Leve, Leslie D; Lovinsky-Desir, Stephanie; Miller, Richard K; Monk, Catherine; Oken, Emily; Posner, Jonathan; Schmidt, Rebecca J; Wright, Rosalind J; Entringer, Sonja; Simhan, Hyagriv N; Wadhwa, Pathik D; O'Connor, Thomas G; Musci, Rashelle J; Buss, Claudia; ECHO collaboratorsMarch 1, 2023Not Determined
36826815Create StudyAnalysis of Pregnancy Complications and Epigenetic Gestational Age of Newborns.JAMA network openLadd-Acosta, Christine; Vang, Elizabeth; Barrett, Emily S; Bulka, Catherine M; Bush, Nicole R; Cardenas, Andres; Dabelea, Dana; Dunlop, Anne L; Fry, Rebecca C; Gao, Xingyu; Goodrich, Jaclyn M; Herbstman, Julie; Hivert, Marie-France; Kahn, Linda G; Karagas, Margaret R; Kennedy, Elizabeth M; Knight, Anna K; Mohazzab-Hosseinian, Sahra; Morin, Andréanne; Niu, Zhongzheng; O'Shea, T Michael; Palmore, Meredith; Ruden, Douglas; Schmidt, Rebecca J; Smith, Alicia K; Song, Ashley; Spindel, Eliot R; Trasande, Leonardo; Volk, Heather; Weisenberger, Daniel J; Breton, Carrie V; Environmental Influences on Child Health Outcomes ProgramFebruary 1, 2023Not 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
36673770Create StudyEffects of COVID-19 Financial and Social Hardships on Infants'' and Toddlers'' Development in the ECHO Program.International journal of environmental research and public healthNozadi, Sara S; Li, Ximin; Kong, Xiangrong; Rennie, Brandon; Kanda, Deborah; MacKenzie, Debra; Luo, Li; Posner, Jonathan; Blackwell, Courtney K; Croen, Lisa A; Ferrara, Assiamira; O'Connor, Thomas G; Zimmerman, Emily; Ghassabian, Akhgar; Leve, Leslie D; Elliott, Amy J; Schmidt, Rebecca J; Sprowles, Jenna L N; Lewis, Johnnye LJanuary 5, 2023Not Determined
36608759Create StudyNetworks of placental DNA methylation correlate with maternal serum PCB concentrations and child neurodevelopment.Environmental researchMouat, Julia S; Li, Xueshu; Neier, Kari; Zhu, Yihui; Mordaunt, Charles E; La Merrill, Michele A; Lehmler, Hans-Joachim; Jones, Michael P; Lein, Pamela J; Schmidt, Rebecca J; LaSalle, Janine MMarch 1, 2023Not Determined
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36446949Create StudyA meta-analysis of pre-pregnancy maternal body mass index and placental DNA methylation identifies 27 CpG sites with implications for mother-child health.Communications biologyFernandez-Jimenez, Nora; Fore, Ruby; Cilleros-Portet, Ariadna; Lepeule, Johanna; Perron, Patrice; Kvist, Tuomas; Tian, Fu-Ying; Lesseur, Corina; Binder, Alexandra M; Lozano, Manuel; Martorell-Marugán, Jordi; Loke, Yuk J; Bakulski, Kelly M; Zhu, Yihui; Forhan, Anne; Sammallahti, Sara; Everson, Todd M; Chen, Jia; Michels, Karin B; Belmonte, Thalia; Carmona-Sáez, Pedro; Halliday, Jane; Daniele Fallin, M; LaSalle, Janine M; Tost, Jorg; Czamara, Darina; Fernández, Mariana F; Gómez-Martín, Antonio; Craig, Jeffrey M; Gonzalez-Alzaga, Beatriz; Schmidt, Rebecca J; Dou, John F; Muggli, Evelyne; Lacasaña, Marina; Vrijheid, Martine; Marsit, Carmen J; Karagas, Margaret R; Räikkönen, Katri; Bouchard, Luigi; Heude, Barbara; Santa-Marina, Loreto; Bustamante, Mariona; Hivert, Marie-France; Bilbao, Jose RamonNovember 30, 2022Not Determined
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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
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36055588Create StudyExposure to melamine and its derivatives and aromatic amines among pregnant women in the United States: The ECHO Program.ChemosphereChoi, Giehae; Kuiper, Jordan R; Bennett, Deborah H; Barrett, Emily S; Bastain, Theresa M; Breton, Carrie V; Chinthakindi, Sridhar; Dunlop, Anne L; Farzan, Shohreh F; Herbstman, Julie B; Karagas, Margaret R; Marsit, Carmen J; Meeker, John D; Morello-Frosch, Rachel; O'Connor, Thomas G; Pellizzari, Edo D; Romano, Megan E; Sathyanarayana, Sheela; Schantz, Susan; Schmidt, Rebecca J; Watkins, Deborah J; Zhu, Hongkai; Kannan, Kurunthachalam; Buckley, Jessie P; Woodruff, Tracey J; program collaborators for Environmental influences on Child Health OutcomesNovember 1, 2022Not Determined
35982160Create StudyRare coding variation provides insight into the genetic architecture and phenotypic context of autism.Nature geneticsFu, 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 ESeptember 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
35836579Create StudyPrenatal Exposure to Ambient Air Pollution and Epigenetic Aging at Birth in Newborns.Frontiers in geneticsSong, Ashley Y; Feinberg, Jason I; Bakulski, Kelly M; Croen, Lisa A; Fallin, M Daniele; Newschaffer, Craig J; Hertz-Picciotto, Irva; Schmidt, Rebecca J; Ladd-Acosta, Christine; Volk, Heather EJanuary 1, 2022Not Determined
35816333Create StudyAssociations Between Prenatal Urinary Biomarkers of Phthalate Exposure and Preterm Birth: A Pooled Study of 16 US Cohorts.JAMA pediatricsWelch, Barrett M; Keil, Alexander P; Buckley, Jessie P; Calafat, Antonia M; Christenbury, Kate E; Engel, Stephanie M; O'Brien, Katie M; Rosen, Emma M; James-Todd, Tamarra; Zota, Ami R; Ferguson, Kelly K; Pooled Phthalate Exposure and Preterm Birth Study Group; Alshawabkeh, Akram N; Cordero, José F; Meeker, John D; Barrett, Emily S; Bush, Nicole R; Nguyen, Ruby H N; Sathyanarayana, Sheela; Swan, Shanna H; Cantonwine, David E; McElrath, Thomas F; Aalborg, Jenny; Dabelea, Dana; Starling, Anne P; Hauser, Russ; Messerlian, Carmen; Zhang, Yu; Bradman, Asa; Eskenazi, Brenda; Harley, Kim G; Holland, Nina; Bloom, Michael S; Newman, Roger B; Wenzel, Abby G; Braun, Joseph M; Lanphear, Bruce P; Yolton, Kimberly; Factor-Litvak, Pam; Herbstman, Julie B; Rauh, Virginia A; Drobnis, Erma Z; Sparks, Amy E; Redmon, J Bruce; Wang, Christina; Binder, Alexandra M; Michels, Karin B; Baird, Donna D; Jukic, Anne Marie Z; Weinberg, Clarice R; Wilcox, Allen J; Rich, David Q; Weinberger, Barry; Padmanabhan, Vasantha; Watkins, Deborah J; Hertz-Picciotto, Irva; Schmidt, Rebecca JSeptember 1, 2022Not Determined
35807909Create StudyMaternal Dietary Patterns during Pregnancy and Child Autism-Related Traits: Results from Two US Cohorts.NutrientsVecchione, Rachel; Wang, Siwen; Rando, Juliette; Chavarro, Jorge E; Croen, Lisa A; Fallin, M Daniele; Hertz-Picciotto, Irva; Newschaffer, Craig J; Schmidt, Rebecca J; Lyall, KristenJune 30, 2022Not Determined
35536918Create StudyExposure to Contemporary and Emerging Chemicals in Commerce among Pregnant Women in the United States: The Environmental influences on Child Health Outcome (ECHO) Program.Environmental science & technologyBuckley, Jessie P; Kuiper, Jordan R; Bennett, Deborah H; Barrett, Emily S; Bastain, Tracy; Breton, Carrie V; Chinthakindi, Sridhar; Dunlop, Anne L; Farzan, Shohreh F; Herbstman, Julie B; Karagas, Margaret R; Marsit, Carmen J; Meeker, John D; Morello-Frosch, Rachel; O'Connor, Thomas G; Romano, Megan E; Schantz, Susan; Schmidt, Rebecca J; Watkins, Deborah J; Zhu, Hongkai; Pellizzari, Edo D; Kannan, Kurunthachalam; Woodruff, Tracey JMay 17, 2022Not Determined
35362025Create StudyCardiometabolic Pregnancy Complications in Association With Autism-Related Traits as Measured by the Social Responsiveness Scale in ECHO.American journal of epidemiologyLyall, Kristen; Ning, Xuejuan; Aschner, Judy L; Avalos, Lyndsay A; Bennett, Deborah H; Bilder, Deborah A; Bush, Nicole R; Carroll, Kecia N; Chu, Su H; Croen, Lisa A; Dabelea, Dana; Daniels, Julie L; Duarte, Christiane; Elliott, Amy J; Fallin, M Daniele; Ferrara, Assiamira; Hertz-Picciotto, Irva; Hipwell, Alison E; Jensen, Elizabeth T; Johnson, Susan L; Joseph, Robert M; Karagas, Margaret; Kelly, Rachel S; Lester, Barry M; Margolis, Amy; McEvoy, Cindy T; Messinger, Daniel; Neiderhiser, Jenae M; O'Connor, Thomas G; Oken, Emily; Sathyanarayana, Sheela; Schmidt, Rebecca J; Sheinkopf, Stephen J; Talge, Nicole M; Turi, Kedir N; Wright, Rosalind J; Zhao, Qi; Newschaffer, Craig; Volk, Heather E; Ladd-Acosta, Christine; Environmental Influences On Child Health Outcomes, On Behalf Of Program Collaborators ForJuly 23, 2022Not Determined
35261202Create StudyPrenatal exposure to pesticide residues in the diet in association with child autism-related traits: Results from the EARLI study.Autism research : official journal of the International Society for Autism ResearchJoyce, Emily E; Chavarro, Jorge E; Rando, Juliette; Song, Ashley Y; Croen, Lisa A; Fallin, M Daniele; Hertz-Picciotto, Irva; Schmidt, Rebecca J; Volk, Heather; Newschaffer, Craig J; Lyall, KristenMay 1, 2022Not Determined
35235788Create StudyPlacenta and fetal brain share a neurodevelopmental disorder DNA methylation profile in a mouse model of prenatal PCB exposure.Cell reportsLaufer, Benjamin I; Neier, Kari; Valenzuela, Anthony E; Yasui, Dag H; Schmidt, Rebecca J; Lein, Pamela J; LaSalle, Janine MMarch 1, 2022Not Determined
35199959Create StudyMaternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts.Autism research : official journal of the International Society for Autism ResearchHertz-Picciotto, Irva; Korrick, Susan A; Ladd-Acosta, Christine; Karagas, Margaret R; Lyall, Kristen; Schmidt, Rebecca J; Dunlop, Anne L; Croen, Lisa A; Dabelea, Dana; Daniels, Julie L; Duarte, Cristiane S; Fallin, M Daniele; Karr, Catherine J; Lester, Barry; Leve, Leslie D; Li, Yijun; McGrath, Monica; Ning, Xuejuan; Oken, Emily; Sagiv, Sharon K; Sathyanaraya, Sheela; Tylavsky, Frances; Volk, Heather E; Wakschlag, Lauren S; Zhang, Mingyu; O'Shea, T Michael; Musci, Rashelle J; program collaborators for Environmental influences on Child Health Outcomes (ECHO)March 1, 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
35037016Create StudyComethyl: a network-based methylome approach to investigate the multivariate nature of health and disease.Briefings in bioinformaticsMordaunt, Charles E; Mouat, Julia S; Schmidt, Rebecca J; LaSalle, Janine MMarch 10, 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
34757822Create StudyFucosylated Human Milk Oligosaccharide Foraging within the Species Bifidobacterium pseudocatenulatum Is Driven by Glycosyl Hydrolase Content and Specificity.Applied and environmental microbiologyShani, Guy; Hoeflinger, Jennifer L; Heiss, Britta E; Masarweh, Chad F; Larke, Jules A; Jensen, Nick M; Wickramasinghe, Saumya; Davis, Jasmine C; Goonatilleke, Elisha; El-Hawiet, Amr; Nguyen, Linh; Klassen, John S; Slupsky, Carolyn M; Lebrilla, Carlito B; Mills, David AJanuary 25, 2022Not Determined
34736556Create StudyGestational Vitamin D and Autism Spectrum Disorder.Biological psychiatrySchmidt, Rebecca JDecember 1, 2021Not Determined
34494118Create StudyDisparities in Risks of Inadequate and Excessive Intake of Micronutrients during Pregnancy.The Journal of nutritionSauder, Katherine A; Harte, Robyn N; Ringham, Brandy M; Guenther, Patricia M; Bailey, Regan L; Alshawabkeh, Akram; Cordero, José F; Dunlop, Anne L; Ferranti, Erin P; Elliott, Amy J; Mitchell, Diane C; Hedderson, Monique M; Avalos, Lyndsay A; Zhu, Yeyi; Breton, Carrie V; Chatzi, Leda; Ran, Jin; Hertz-Picciotto, Irva; Karagas, Margaret R; Sayarath, Vicki; Hoover, Joseph; MacKenzie, Debra; Lyall, Kristen; Schmidt, Rebecca J; O'Connor, Thomas G; Barrett, Emily S; Switkowski, Karen M; Comstock, Sarah S; Kerver, Jean M; Trasande, Leonardo; Tylavsky, Frances A; Wright, Rosalind J; Kannan, Srimathi; Mueller, Noel T; Catellier, Diane J; Glueck, Deborah H; Dabelea, Dana; Program Collaborators for Environmental influences on Child Health Outcomes (ECHO)November 2, 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
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
32361076Create StudyTemporal trends and determinants of serum concentrations of per- and polyfluoroalkyl substances among Northern California mothers with a young child, 2009-2016.Environmental researchKim, Kyunghoon; Bennett, Deborah H; Calafat, Antonia M; Hertz-Picciotto, Irva; Shin, Hyeong-MooJuly 1, 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
32143025Create StudyIdentification of environmental chemicals targeting miscarriage genes and pathways using the comparative toxicogenomics database.Environmental researchHarris, Sean M; Jin, Yuan; Loch-Caruso, Rita; Padilla, Ingrid Y; Meeker, John D; Bakulski, Kelly MMay 1, 2020Not Determined
31981491Create StudyLarge-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism.CellSatterstrom, F Kyle; Kosmicki, Jack A; Wang, Jiebiao; Breen, Michael S; De Rubeis, Silvia; An, Joon-Yong; Peng, Minshi; Collins, Ryan; Grove, Jakob; Klei, Lambertus; Stevens, Christine; Reichert, Jennifer; Mulhern, Maureen S; Artomov, Mykyta; Gerges, Sherif; Sheppard, Brooke; Xu, Xinyi; Bhaduri, Aparna; Norman, Utku; Brand, Harrison; Schwartz, Grace; Nguyen, Rachel; Guerrero, Elizabeth E; Dias, Caroline; Autism Sequencing Consortium; iPSYCH-Broad Consortium; Betancur, Catalina; Cook, Edwin H; Gallagher, Louise; Gill, Michael; Sutcliffe, James S; Thurm, Audrey; Zwick, Michael E; Børglum, Anders D; State, Matthew W; Cicek, A Ercument; Talkowski, Michael E; Cutler, David J; Devlin, Bernie; Sanders, Stephan J; Roeder, Kathryn; Daly, Mark J; Buxbaum, Joseph DFebruary 6, 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
31881266Create StudyManganese is associated with increased plasma interleukin-1β during pregnancy, within a mixtures analysis framework of urinary trace metals.Reproductive toxicology (Elmsford, N.Y.)Aung, Max T; Meeker, John D; Boss, Jonathan; Bakulski, Kelly M; Mukherjee, Bhramar; Cantonwine, David E; McElrath, Thomas F; Ferguson, Kelly KApril 1, 2020Not Determined
31710672Create StudyEstimation of Eosinophil Cells in Cord Blood with References Based on Blood in Adults via Bayesian Measurement Error Modeling.Bioinformatics (Oxford, England)Jiang, Yu; Zhang, Hongmei; Andrews, Shan V; Arshad, Hasan; Ewart, Susan; Holloway, John W; Fallin, M Daniele; Bakulski, Kelly M; Karmaus, WilfriedNovember 9, 2019Not Determined
31673306Create StudyA meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood.Molecular autismMordaunt, Charles E; Park, Bo Y; Bakulski, Kelly M; Feinberg, Jason I; Croen, Lisa A; Ladd-Acosta, Christine; Newschaffer, Craig J; Volk, Heather E; Ozonoff, Sally; Hertz-Picciotto, Irva; LaSalle, Janine M; Schmidt, Rebecca J; Fallin, M DanieleJanuary 2019Not 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 1, 2019Not Determined
31536415Create StudyComparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking.EpigenomicsSikdar, Sinjini; Joehanes, Roby; Joubert, Bonnie R; Xu, Cheng-Jian; Vives-Usano, Marta; Rezwan, Faisal I; Felix, Janine F; Ward, James M; Guan, Weihua; Richmond, Rebecca C; Brody, Jennifer A; Küpers, Leanne K; Baïz, Nour; Håberg, Siri E; Smith, Jennifer A; Reese, Sarah E; Aslibekyan, Stella; Hoyo, Cathrine; Dhingra, Radhika; Markunas, Christina A; Xu, Tao; Reynolds, Lindsay M; Just, Allan C; Mandaviya, Pooja R; Ghantous, Akram; Bennett, Brian D; Wang, Tianyuan; Consortium, The Bios; Bakulski, Kelly M; Melen, Erik; Zhao, Shanshan; Jin, Jianping; Herceg, Zdenko; Meurs, Joyce van; Taylor, Jack A; Baccarelli, Andrea A; Murphy, Susan K; Liu, Yongmei; Munthe-Kaas, Monica Cheng; Deary, Ian J; Nystad, Wenche; Waldenberger, Melanie; Annesi-Maesano, Isabella; Conneely, Karen; Jaddoe, Vincent Wv; Arnett, Donna; Snieder, Harold; Kardia, Sharon Lr; Relton, Caroline L; Ong, Ken K; Ewart, Susan; Moreno-Macias, Hortensia; Romieu, Isabelle; Sotoodehnia, Nona; Fornage, Myriam; Motsinger-Reif, Alison; Koppelman, Gerard H; Bustamante, Mariona; Levy, Daniel; London, Stephanie JOctober 1, 2019Not Determined
31455416Create StudySystematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data.Clinical epigeneticsGervin, Kristina; Salas, Lucas A; Bakulski, Kelly M; van Zelm, Menno C; Koestler, Devin C; Wiencke, John K; Duijts, Liesbeth; Moll, Henriëtte A; Kelsey, Karl T; Kobor, Michael S; Lyle, Robert; Christensen, Brock C; Felix, Janine F; Jones, Meaghan JAugust 27, 2019Not Determined
31148503Create StudyPrenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis.Environmental health perspectivesGruzieva, Olena; Xu, Cheng-Jian; Yousefi, Paul; Relton, Caroline; Merid, Simon Kebede; Breton, Carrie V; Gao, Lu; Volk, Heather E; Feinberg, Jason I; Ladd-Acosta, Christine; Bakulski, Kelly; Auffray, Charles; Lemonnier, Nathanaël; Plusquin, Michelle; Ghantous, Akram; Herceg, Zdenko; Nawrot, Tim S; Pizzi, Costanza; Richiardi, Lorenzo; Rusconi, Franca; Vineis, Paolo; Kogevinas, Manolis; Felix, Janine F; Duijts, Liesbeth; den Dekker, Herman T; Jaddoe, Vincent W V; Ruiz, José L; Bustamante, Mariona; Antó, Josep Maria; Sunyer, Jordi; Vrijheid, Martine; Gutzkow, Kristine B; Grazuleviciene, Regina; Hernandez-Ferrer, Carles; Annesi-Maesano, Isabella; Lepeule, Johanna; Bousquet, Jean; Bergström, Anna; Kull, Inger; Söderhäll, Cilla; Kere, Juha; Gehring, Ulrike; Brunekreef, Bert; Just, Allan C; Wright, Rosalind J; Peng, Cheng; Gold, Diane R; Kloog, Itai; DeMeo, Dawn L; Pershagen, Göran; Koppelman, Gerard H; London, Stephanie J; Baccarelli, Andrea A; Melén, ErikMay 1, 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
31009952Create StudyPlacental DNA methylation levels at CYP2E1 and IRS2 are associated with child outcome in a prospective autism study.Human molecular geneticsZhu, Yihui; Mordaunt, Charles E; Yasui, Dag H; Marathe, Ria; Coulson, Rochelle L; Dunaway, Keith W; Jianu, Julia M; Walker, Cheryl K; Ozonoff, Sally; Hertz-Picciotto, Irva; Schmidt, Rebecca J; LaSalle, Janine MAugust 15, 2019Not Determined
30810722Create StudyAssociation of Maternal Prenatal Vitamin Use With Risk for Autism Spectrum Disorder Recurrence in Young Siblings.JAMA psychiatrySchmidt, Rebecca J; Iosif, Ana-Maria; Guerrero Angel, Elizabeth; Ozonoff, SallyApril 1, 2019Not 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
29635158Create StudyEffects of triclosan in breast milk on the infant fecal microbiome.ChemosphereBever, Candace S; Rand, Amy A; Nording, Malin; Taft, Diana; Kalanetra, Karen M; Mills, David A; Breck, Melissa A; Smilowitz, Jennifer T; German, J Bruce; Hammock, Bruce DJuly 1, 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
28143888Create StudyDivergent Mechanisms Leading to Signaling Dysfunction in Embryonic Muscle by Bisphenol A and Tetrabromobisphenol A.Molecular pharmacologyZhang, Rui; Pessah, Isaac NApril 2017Not Determined
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 2016Not Determined
helpcenter.collection.publications-tab

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).

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.
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
107/15/2017
705
Approved
To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

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

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

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

Please visit the Completing Your Data Expected Tutorial for more information.
Data Expected List: Data Structures per Research Aims

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

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Mullen Scales of Early Learning info icon
6907/15/2017
343
Approved
ADOS info icon
3207/15/2017
232
Approved
ADI-R info icon
307/15/2017
64
Approved
Early Development Questionnaire info icon
2507/15/2017
140
Approved
Social Responsiveness Scale (SRS) info icon
2507/15/2017
506
Approved
Social Communication Questionnaire (SCQ) info icon
2407/15/2017
236
Approved
Demographics info icon
1207/15/2017
382
Approved
Child Behavior Checklist (CBCL) info icon
807/15/2017
237
Approved
M-CHAT info icon
1107/15/2017
260
Approved
Enviromental Evaluation info icon
29407/15/2017
332
Approved
Autism Observation Scale for Infants (AOSI) info icon
2507/15/2017
269
Approved
Communication and Symbolic Behavior Scales (CSBS) info icon
4207/15/2017
348
Approved
Parent Concerns Questionaire info icon
7307/15/2017
364
Approved
Stress Questionnaires info icon
29607/15/2017
333
Approved
Vineland (Parent and Caregiver) info icon
20007/15/2017
219
Approved
Structure not yet defined
No Status history for this Data Expected has been recorded yet
helpcenter.collection.data-expected-tab

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.

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.

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.317/17423Secondary 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. 298/6323Secondary 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.44/3517Secondary 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. 68/3382Secondary 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.30/1708Secondary AnalysisShared
* Data not on individual level
helpcenter.collection.associated-studies-tab

NDA Help Center

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.
Edit