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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.

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1 Numbers reported are subjects by age
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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

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SelectExperiment IdExperiment NameExperiment Type
  • Select One
  • EEG
  • EGG
  • Eye Tracking
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  • fMRI
Created On
911Resting StatefMRI04/20/2018
910Modified Monetary Incentive Delay fMRI04/20/2018
908Resting State Pre-Stress Visit 1fMRI04/20/2018
907Montreal Imaging Stress Task Visit 1fMRI04/18/2018
9062-back Post-Stress Visit 1fMRI04/18/2018
9051-back Post-Stress Visit 1fMRI04/18/2018
9040-back Post-Stress Visit 1fMRI04/18/2018
9032-back Pre-Stress Visit 1fMRI04/18/2018
9021-back Pre-Stress Visit 1fMRI04/18/2018
9010-back Pre-Stress Visit 1fMRI04/18/2018
900DTIfMRI04/11/2018
899Investigating a Neurobehavioral Mechanism of Paranoia - Resting State ScansfMRI04/06/2018
898FAST-POMAfMRI04/03/2018
897parvizi_eeg_109EEG03/19/2018
896parvizi_eeg_107EEG03/19/2018
895parvizi_eeg_106EEG03/19/2018
894Dot ProbeEye Tracking03/07/2018
893Startle Habituation and Shock Sensitivity EvaluationEEG03/03/2018
892NPU EEG Task EEG03/03/2018
891Duke ACE ETEye Tracking03/02/2018
888Emotion 1.1 Determining context effects during potential threatfMRI02/26/2018
886RestfMRI02/14/2018
885SARTfMRI02/14/2018
884Plasma metabolic profileOmics02/05/2018
878Social Challenge AssessmentEye Tracking01/26/2018
877PRV-005-EEGEEG01/22/2018
876Mixed Anti and Pro (vgs) saccade mixed blocked (EyeTracking)Eye Tracking01/22/2018
875Attention modulation taskEye Tracking01/17/2018
874ruthldopa resting 17 and 18fMRI01/16/2018
873ruthldopa resting 15 and 16fMRI01/16/2018
872ruthldopa resting 13 and 14fMRI01/16/2018
871ruthldopa resting 11 and 12fMRI01/16/2018
870Resting State fMRIfMRI01/12/2018
869cyberballfMRI01/12/2018
868MDD_PilotfMRI01/12/2018
867Velten Mood Induction State-ItemfMRI01/12/2018
866Emotional Hemifield Task (EHT)EEG01/12/2018
865Genome EditingOmics01/12/2018
864parvizi_eeg_118EEG01/12/2018
863parvizi_eeg_117EEG01/12/2018
862parvizi_eeg_116EEG01/12/2018
861parvizi_eeg_115EEG01/12/2018
860parvizi_eeg_114EEG01/12/2018
859parvizi_eeg_113EEG01/12/2018
858PRV-003-EEGEEG01/12/2018
857PRV-004-EEGEEG01/12/2018
856PRV-007-EEGEEG01/12/2018
855Regulating Emotional Responses to Visual Images Across the Affective Instability SpectrumfMRI01/12/2018
854PRV-002-EEGEEG01/12/2018
853R61 Ezogabine Resting State FMRIfMRI01/11/2018
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Shared

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

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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
Systems biology of ASD
Lilia Iakoucheva 
Sequencing and building protein-protein interaction network of brain-expressed alternatively spliced isoforms of autism candidate genes
NDAR
Funding Completed
Shared
$1,319,038.00
2
0
0
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NIH - Extramural None


R01HD065288-01 A systems biology approach to unravel theunderlying functional modules of ASD 09/30/2009 08/31/2011 Not Reported Not Reported UNIVERSITY OF CALIFORNIA, SAN DIEGO $1,319,038.00

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
22Stitching PCR Sequencing02/14/2011ApprovedOmics
24HI-NGS_R102/16/2011ApprovedOmics

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.

Genomics Sample Genomics 1
Genomics Subject Genomics 1

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
28849569Create StudyComprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases.Methods in molecular biology (Clifton, N.J.)Lin GN, Corominas R, Nam HJ, Urresti J, Iakoucheva LMJanuary 2017Not Determined
27018473Create StudyFrequency and Complexity of De Novo Structural Mutation in Autism.American journal of human geneticsBrandler WM, Antaki D, Gujral M, Noor A, Rosanio G, Chapman TR, Barrera DJ, Lin GN, Malhotra D, Watts AC, Wong LC, Estabillo JA, Gadomski TE, Hong O, Fajardo KV, Bhandari A, Owen R, Baughn M, Yuan J, Solomon T, Moyzis AG, Maile MS, Sanders SJ, Reiner GE, Vaux KK, et al.April 7, 2016Not Relevant
26871637Create StudyWidespread Expansion of Protein Interaction Capabilities by Alternative Splicing.CellYang X, Coulombe-Huntington J, Kang S, Sheynkman GM, Hao T, Richardson A, Sun S, Yang F, Shen YA, Murray RR, Spirohn K, Begg BE, Duran-Frigola M, Macwilliams A, Pevzner SJ, Zhong Q, Trigg SA, Tam S, Ghamsari L, Sahni N, Yi S, Rodriguez MD, Balcha D, Tan G, Costanzo M, et al.February 11, 2016Not Determined
25695269Create StudySpatiotemporal 16p11.2 protein network implicates cortical late mid-fetal brain development and KCTD13-Cul3-RhoA pathway in psychiatric diseases.NeuronLin GN, Corominas R, Lemmens I, Yang X, Tavernier J, Hill DE, Vidal M, Sebat J, Iakoucheva LMFebruary 18, 2015Not Relevant
25416956Create StudyA proteome-scale map of the human interactome network.CellRolland T, Taşan M, Charloteaux B, Pevzner SJ, Zhong Q, Sahni N, Yi S, Lemmens I, Fontanillo C, Mosca R, Kamburov A, Ghiassian SD, Yang X, Ghamsari L, Balcha D, Begg BE, Braun P, Brehme M, Broly MP, Carvunis AR, Convery-Zupan D, Corominas R, Coulombe-Huntington J, Dann E, Dreze M, et al.November 20, 2014Not Relevant
24722188Study (330)Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism.Nature communicationsCorominas R, Yang X, Lin GN, Kang S, Shen Y, Ghamsari L, Broly M, Rodriguez M, Tam S, Trigg SA, Fan C, Yi S, Tasan M, Lemmens I, Kuang X, Zhao N, Malhotra D, Michaelson JJ, Vacic V, Calderwood MA, Roth FP, Tavernier J, Horvath S, Salehi-Ashtiani K, Korkin D, et al.2014Relevant
24605363Create StudyPredicted disorder-to-order transition mutations in IκBα disrupt function.Physical chemistry chemical physics : PCCPDembinski H, Wismer K, Balasubramaniam D, Gonzalez HA, Alverdi V, Iakoucheva LM, Komives EAApril 14, 2014Not Relevant
23260136Study (322)Whole-genome sequencing in autism identifies hot spots for de novo germline mutation.CellMichaelson JJ, Shi Y, Gujral M, Zheng H, Malhotra D, Jin X, Jian M, Liu G, Greer D, Bhandari A, Wu W, Corominas R, Peoples A, Koren A, Gore A, Kang S, Lin GN, Estabillo J, Gadomski T, Singh B, Zhang K, Akshoomoff N, Corsello C, McCarroll S, Iakoucheva LM, et al.December 21, 2012Relevant
23055912Create StudyDisease-associated mutations disrupt functionally important regions of intrinsic protein disorder.PLoS computational biologyVacic V, Markwick PR, Oldfield CJ, Zhao X, Haynes C, Uversky VN, Iakoucheva LM2012Not Relevant
22080206Create StudyDisease mutations in disordered regions--exception to the rule?Molecular bioSystemsVacic V, Iakoucheva LMJanuary 2012Not Relevant
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Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
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 NameAbstractCollection/Study SubjectsData UsageState
A protein interaction network of alternatively-spliced isoforms from brain links genetic risk factors for autismIncreased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. 1/1Primary AnalysisShared
* Data not on individual level
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