Loading...

Reset Password

NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action.

All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDAR is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Selected Filters
No filters selected

The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
No filters have been selected

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

New Documentation

Please enter the name of the data structure to search or if your definition does not exist, please upload that definition so that it can be appropriately defined for submission. Multiple data structures may be associated with a single Data Expected entry. Please add only one data structure per assessment.

Please provide a reason for the requested submission exemption and the
time-frame during which the exemption will be active.
Shared

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

General

Title, investigators, and Collection Description may be edited along with the Collection Phase. For Collection Phase, the options Pre-enrollment, Enrollment, and Completed can be chosen allowing the Collection Owner to indicate the stage of data collection.

Funding Source

The ability to associate the funding source for the project is provided. For NIH funded grants, linkage to Project Reporter information (e.g. R01MH123456) is supported. Projects funded by others, including the URL of the project, are listed. Non NIH funded projects will become available here to link that data with the appropriate funding agency.

Supporting Documentation

Any documents related to the project may be uploaded clarifying the data or acquisition methods used may be uploaded and made available here. The default is to share these documents to the general public. An option to share only to qualified Researchers is also an option.

Clinical Trials

For clinical trials, the option to link to the clinical trial in clinicaltrials.gov is optionally provided.

Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Distance to Freeway and Major Road Data
Rob McConnell 
This collection contains birth address based measures on distance to interstate highway, state highway, major road, and local road for study subjects enrolled in the CHARGE study. **** NOTICE **** Please note that the subjects for this project were pregnant mothers. The phenotype of the child are associated with the mother's data for some of the mothers. The children's clinical data are not available. Contact the PI of this project should you need that information. **** END OF NOTICE ****
NDAR
Closed
Shared
$577,195.00
1,049
0
0

No Data Shared

Loading...

Loading...

No Data Shared

Loading...

Chart Expander
NIH - Extramural None


R21ES019002-01 Investigating Gene-Environment Interaction in Autism: Air Pollution x 09/28/2009 07/31/2011 Not Reported Not Reported UNIVERSITY OF SOUTHERN CALIFORNIA $577,195.00

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

Experiments

To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
78MET Genotypes03/18/2013ApprovedOmics
79Tag SNPs for Inflammatory and Oxidative Stress Genes and Ancestry Markers03/18/2013ApprovedOmics

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

Shared Data

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

CALINE Traffic Related Pollution Estimates Clinical Assessments 1039
Distance to Roadways Clinical Assessments 1049
Genomics Sample Genomics 611
Genomics Subject Genomics 611
Nitrogen Dioxide (NO2) Exposure Clinical Assessments 1049
Ozone Exposures Clinical Assessments 1049
Particulate Matter 10 (PM10) Exposures Clinical Assessments 1049
Particulate Matter 2.5 (PM2.5) Exposures Clinical Assessments 1049
Traffic Related Pollution (TRP) Estimates Clinical Assessments 1039

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 NDAR 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
24240654Study (340)Autism spectrum disorder: interaction of air pollution with the MET receptor tyrosine kinase gene.Epidemiology (Cambridge, Mass.)Volk HE, Kerin T, Lurmann F, Hertz-Picciotto I, McConnell R, Campbell DBJanuary 2014Relevant
23404082Create StudyTraffic-related air pollution, particulate matter, and autism.JAMA psychiatryVolk HE, Lurmann F, Penfold B, Hertz-Picciotto I, McConnell RJanuary 2013Not Determined
21156395Create StudyResidential proximity to freeways and autism in the CHARGE study.Environmental health perspectivesVolk HE, Hertz-Picciotto I, Delwiche L, Lurmann F, McConnell RJune 2011Not Determined

This tab provides a general status on the data expected to be shared. There are two types of data expected.

  1. By Relevant publications — Those publications that reported for the collection's grant and have a status of "relevant" for sharing are listed first. The grantee is expected to share the data specific to those publications using the NDA Study feature. If a publication is erroneously marked relevant, the PI should simply change the status. When sharing a study, only the outcome measures for the subjects/time-points are shared. Other data that have not met the share date, defined below, will remain embargoed. To initiate study creation, simply login, mark your publication as relevant and click on the link listed to begin.

  2. By Data Structure — The number of subjects expected, received and shared is provided. Investigators are expected to update the data that they are collecting, the initial submission date and initial share dates. The NIMH Data Archive shares data when those dates are met.

  3. Submission Exemption — Those with Administrative or Submission Access to the Collection may request an exemption for submission for a defined period by stating the reason and timeframe. Note that the program officer on the grant may review this request.


Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.

For those with privileges to edit the collection, it is possible to upload your data definitions using this interface. NDA support staff will then follow up with a harmonized data definition for you to use in providing additional data.

Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Distance to Roadways info iconApproved
Enviromental Evaluation info iconApproved
Nitrogen Dioxide (NO2) Exposure info iconApproved
Particulate Matter 2.5 (PM 2.5) Exposures info iconApproved
Ozone Exposures info iconApproved
Particulate Matter 10 (PM10) Exposures info iconApproved
Traffic Related Pollutant Information info iconApproved
genomics/omics info iconApproved
Structure not yet defined

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 Name Description Number of Subjects
Collection / Total
Data Use State
Autism spectrum disorder: interaction of air pollution with the MET receptor tyrosine kinase gene. Background: Independent studies report association of autism spectrum disorder with air pollution exposure and a functional promoter variant (rs1858830) in the MET receptor tyrosine kinase (MET) gene. Toxicologic data find altered brain Met expression in mice after prenatal exposure to a model air pollutant. Our objective was to investigate whether air pollution exposure and MET rs1858830 genotype interact to alter ASD risk. Methods: We studied 252 cases of autism spectrum disorder and 156 typically developing controls the Childhood Autism Risk from Genetics and the Environment Study. Air pollution exposure was assigned for local traffic-related sources and regional sources (particulate matter, nitrogen dioxide and ozone). MET genotype was determined by direct re-sequencing. Results: Subjects with both MET rs1858830 CC genotype and high air pollutant exposures were at increased risk of autism spectrum disorder compared with subjects who had both the CG/GG genotypes and lower pollutant exposures. A statistical test of multiplicative interaction identified a statistically significant effect between NO2 and MET CC genotype (p=0.03) Conclusions: MET rs1858830 CC genotype and air pollutant exposure may interact to increase autism spectrum disorder risk. 209 / 209 Primary Analysis Shared
* Data not on individual level