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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
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  • EEG
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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
899Investigating a Neurobehavioral Mechanism of Paranoia - Resting State ScansfMRI04/06/2018
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
884Plasma metabolic profileOmics02/05/2018
878Social Challenge AssessmentEye Tracking01/26/2018
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
867Velten Mood Induction State-ItemfMRI01/12/2018
866Emotional Hemifield Task (EHT)EEG01/12/2018
865Genome EditingOmics01/12/2018
855Regulating Emotional Responses to Visual Images Across the Affective Instability SpectrumfMRI01/12/2018
853R61 Ezogabine Resting State FMRIfMRI01/11/2018
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Sequencing Autism Spectrum Disorder Extended Pedigrees (1/3, 2/3, and 3/3)
Gerard Schellenberg, Hilary Coon and Ellen Wijsman 
We have in hand a unique resource of extended autism spectrum disorder (ASD) pedigrees. We will sequence family members from the most informative pedigrees to study genetic variation contributing to ASD and related phenotypes. We will work to discover new variation, and also use the resource to characterize variants in conjunction with existing whole exome data available through our collaborations. We will test findings in up to 10 other families available from the Autism Genome Project (AGP) network of collaborators. We will also make the resource available to the broader scientific community. Extended families offer an excellent opportunity to identify and study genetic variation, giving a complementary approach to ongoing studies of simplex and small multiplex families. The current collection of families represents some of the largest pedigrees with ASD in the world. We have already detected significant linkage evidence in some of these families with clinical diagnosis and also with related phenotypes. Sequence data in these extended families will result in highly accurate and complete genetic information. We will identify familial variation in these data, and predict potentially damaging variants using new informatics approaches. We will refine information about risk by comparing to ongoing sequence projects. We will also use the ongoing sequence projects to help prioritize the familial variant discovery, and choose the best for replication efforts in other AGP families. Finally, we will investigate sequence variants found by simplex/small family sequencing to determine specificity and penetrance in our extended families. Our proposed project will benefit from the continued collaboration of world-class molecular, analytic, and clinical expertise in the Autism Genome Project to enable the most effective use of this unique resource.
Funding Completed
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NIH - Extramural None

Summary_Information_for_SNP_Linkage_Analysis_Data.pdf Background Summary Information for SNP Linkage Analysis Data Qualified Researchers

R01MH094293-01 2/3 Sequencing Autism Spectrum Disorder Extended Pedigrees 06/01/2012 04/30/2018 55 Not Reported UNIVERSITY OF WASHINGTON $1,149,418.00
R01MH094382-01 3/3-Sequencing Autism Spectrum Disorder Extended Pedigrees 06/01/2012 02/28/2017 Not Reported Not Reported UNIVERSITY OF PENNSYLVANIA $793,600.00
R01MH094400-01 1/3 - Sequencing Autism Spectrum Disorder Extended Pedigrees 06/01/2012 02/28/2018 8 102 UNIVERSITY OF UTAH $1,479,240.00

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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
392SNP genome scan-410/29/2015ApprovedOmics
397SNP genome scan-910/29/2015ApprovedOmics
396SNP genome scan-810/29/2015ApprovedOmics
395SNP genome scan-710/29/2015ApprovedOmics
394SNP genome scan-610/29/2015ApprovedOmics
393SNP genome scan-510/29/2015ApprovedOmics
110Genotyping Project11/14/2013ApprovedOmics
137pedigree exomes March 201403/13/2014ApprovedOmics

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.

Aberrant Behavior Checklist (ABC) - Community Clinical Assessments 693
Anthropometric Information Clinical Assessments 1962
Autism Diagnostic Interview - Cumulative Clinical Assessments 430
Autism Diagnostic Observation Schedule (ADOS) - Module 4 Clinical Assessments 326
Autism Diagnostic Observation Schedule (ADOS)- Module 1 Clinical Assessments 172
Autism Diagnostic Observation Schedule (ADOS)- Module 2 Clinical Assessments 161
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 267
BASC Parent Rating Scale Adolescent Clinical Assessments 466
Broad Autism Phenotype Questionnaire (BAPQ) Clinical Assessments 482
CADS-P Clinical Assessments 443
CELF Preschool Clinical Assessments 138
CELF-3 Clinical Eval of Lang Fundamentals, 3th ed Clinical Assessments 362
CELF-4 Clinical Eval of Lang Fundamentals, 4th ed Clinical Assessments 94
Comprehensive Test of Phonological Processing (CTOPP) Clinical Assessments 1090
DAS-II: Differential Ability Scales 2nd Ed. School Age Clinical Assessments 175
Developmental Behavior Checklist Clinical Assessments 195
Expanded Token Test Clinical Assessments 696
Genomics Sample Genomics 803
Genomics Subject Genomics 1726
Leiter International Performance Scale-Revised (Leiter-R), Visualization and Reasoning Battery Clinical Assessments 8
Mullen Scales of Early Learning Clinical Assessments 42
Peabody Picture Vocabulary Test, Fourth Edition-Form A Clinical Assessments 526
Repetitive Behavior Scale - Revised (RBS-R) (2000) Clinical Assessments 224
SRS-2. Adult, Preschool and School Age Clinical Assessments 1601
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 581
Stanford-Binet Intelligence Scales, Fifth Edition (SB5) Clinical Assessments 43
Vineland I Clinical Assessments 390
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 318
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 660
Wechsler Adult Intelligence Scale Fourth Edition [part 1] Clinical Assessments 109
Wechsler Adult Intelligence Scale III Clinical Assessments 338
Wechsler Intelligence Scale for Children III Clinical Assessments 166

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


Publications relevant to 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
29523860Create StudyAllele-specific expression in a family quartet with autism reveals mono-to-biallelic switch and novel transcriptional processes of autism susceptibility genes.Scientific reportsLin CY, Chang KW, Lin CY, Wu JY, Coon H, Huang PH, Ho HN, Akbarian S, Gau SS, Huang HSMarch 2018Not Determined
29267877Create StudyGIGI-Quick: A Fast Approach to Impute Missing Genotypes in Genome-Wide Association Family Data.Bioinformatics (Oxford, England)Kunji K, Ullah E, Nato AQ, Wijsman EM, Saad MDecember 2017Not Determined
29266823Create StudyMid-life social outcomes for a population-based sample of adults with ASD.Autism research : official journal of the International Society for Autism ResearchFarley M, Cottle KJ, Bilder D, Viskochil J, Coon H, Mcmahon WJanuary 2018Not Determined
28968627Create StudyAssociation score testing for rare variants and binary traits in family data with shared controls.Briefings in bioinformaticsSaad M, Wijsman EMAugust 2017Not Determined
28540026Create StudyMeta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia.Molecular autismJanuary 2017Not Relevant
27980662Create StudyEstimating relationships between phenotypes and subjects drawn from admixed families.BMC proceedingsBlue EM, Brown LA, Conomos MP, Kirk JL, Nato AQ, Popejoy AB, Raffa J, Ranola J, Wijsman EM, Thornton TJanuary 2016Not Relevant
27980652Create StudyIdentity-by-descent estimation with population- and pedigree-based imputation in admixed family data.BMC proceedingsSaad M, Nato AQ, Grimson FL, Lewis SM, Brown LA, Blue EM, Thornton TA, Thompson EA, Wijsman EMJanuary 2016Not Relevant
27956748Create StudyAssociation of rare missense variants in the second intracellular loop of NaV1.7 sodium channels with familial autism.Molecular psychiatryRubinstein M, Patowary A, Stanaway IB, Mccord E, Nesbitt RR, Archer M, Scheuer T, Nickerson D, Raskind WH, Wijsman EM, Bernier R, Catterall WA, Brkanac ZDecember 13, 2016Relevant
27562213Create StudyVARPRISM: incorporating variant prioritization in tests of de novo mutation association.Genome medicineHu H, Coon H, Li M, Yandell M, Huff CDAugust 2016Not Determined
27535846Create StudyMultipoint genome-wide linkage scan for nonword repetition in a multigenerational family further supports chromosome 13q as a locus for verbal trait disorders.Human geneticsTruong DT, Shriberg LD, Smith SD, Chapman KL, Scheer-Cohen AR, Demille MM, Adams AK, Nato AQ, Wijsman EM, Eicher JD, Gruen JRDecember 2016Not Relevant
27178863Create StudyEarly event-related potentials to emotional faces differ for adults with autism spectrum disorder and by serotonin transporter genotype.Clinical neurophysiology : official journal of the International Federation of Clinical NeurophysiologyFaja S, Dawson G, Aylward E, Wijsman EM, Webb SJJune 2016Not Determined
27120335Create StudyGenetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech.PloS onePeter B, Wijsman EM, Nato AQ, Matsushita MM, Chapman KL, Stanaway IB, Wolff J, Oda K, Gabo VB, Raskind WHJanuary 2016Not Determined
26866700Create StudyFamily-based approaches: design, imputation, analysis, and beyond.BMC geneticsWijsman EM2016Not Relevant
26231429Create StudyPBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers.Bioinformatics (Oxford, England)Nato AQ, Chapman NH, Sohi HK, Nguyen HD, Brkanac Z, Wijsman EMDecember 1, 2015Not Relevant
26204995Create StudyWhole exome sequencing in extended families with autism spectrum disorder implicates four candidate genes.Human geneticsChapman NH, Nato AQ, Bernier R, Ankenman K, Sohi H, Munson J, Patowary A, Archer M, Blue EM, Webb SJ, Coon H, Raskind WH, Brkanac Z, Wijsman EMOctober 2015Not Determined
25640677Create StudyJoint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.American journal of human geneticsMaier R, Moser G, Chen GB, Ripke S, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Coryell W, Potash JB, Scheftner WA, Shi J, Weissman MM, Hultman CM, Landén M, Levinson DF, Kendler KS, Smoller JW, Wray NR, Lee SHFebruary 5, 2015Not Relevant
25599223Create StudyPsychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways.Nature neuroscienceFebruary 2015Not Determined
25519371Create StudyIdentity-by-descent graphs offer a flexible framework for imputation and both linkage and association analyses.BMC proceedingsBlue EM, Cheung CY, Glazner CG, Conomos MP, Lewis SM, Sverdlov S, Thornton T, Wijsman EM2014Not Determined
25519330Create StudyEstimating and adjusting for ancestry admixture in statistical methods for relatedness inference, heritability estimation, and association testing.BMC proceedingsThornton T, Conomos MP, Sverdlov S, Blue EM, Cheung CY, Glazner CG, Lewis SM, Wijsman EM2014Not Determined
25392729Create StudyThe Autism Simplex Collection: an international, expertly phenotyped autism sample for genetic and phenotypic analyses.Molecular autismBuxbaum JD, Bolshakova N, Brownfeld JM, Anney RJ, Bender P, Bernier R, Cook EH, Coon H, Cuccaro M, Freitag CM, Hallmayer J, Geschwind D, Klauck SM, Nurnberger JI, Oliveira G, Pinto D, Poustka F, Scherer SW, Shih A, Sutcliffe JS, Szatmari P, Vicente AM, Vieland V, Gallagher L2014Not Determined
25363760Create StudySynaptic, transcriptional and chromatin genes disrupted in autism.NatureDe Rubeis S, He X, Goldberg AP, Poultney CS, Samocha K, Cicek AE, Kou Y, Liu L, Fromer M, Walker S, Singh T, Klei L, Kosmicki J, Shih-Chen F, Aleksic B, Biscaldi M, Bolton PF, Brownfeld JM, Cai J, Campbell NG, Carracedo A, Chahrour MH, Chiocchetti AG, Coon H, Crawford EL, et al.November 13, 2014Not Relevant
25313507Create StudySLC6A3 coding variant Ala559Val found in two autism probands alters dopamine transporter function and trafficking.Translational psychiatryBowton E, Saunders C, Reddy IA, Campbell NG, Hamilton PJ, Henry LK, Coon H, Sakrikar D, Veenstra-VanderWeele JM, Blakely RD, Sutcliffe J, Matthies HJ, Erreger K, Galli A2014Not Determined
25241009Create StudySpatial relative risk patterns of autism spectrum disorders in Utah.Journal of autism and developmental disordersBakian AV, Bilder DA, Coon H, McMahon WMApril 2015Not Determined
25132070Create StudyCombining family- and population-based imputation data for association analysis of rare and common variants in large pedigrees.Genetic epidemiologySaad M, Wijsman EMNovember 2014Not Determined
25112184Create StudyValue of Mendelian laws of segregation in families: data quality control, imputation, and beyond.Genetic epidemiologyBlue EM, Sun L, Tintle NL, Wijsman EMSeptember 2014Not Determined
24958436Create StudyPsychiatric comorbidity and medication use in adults with autism spectrum disorder.Journal of autism and developmental disordersBuck TR, Viskochil J, Farley M, Coon H, Mcmahon WM, Morgan J, Bilder DADecember 2014Not Determined
24837662Create StudyA unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.Nature biotechnologyHu H, Roach JC, Coon H, Guthery SL, Voelkerding KV, Margraf RL, Durtschi JD, Tavtigian SV, Shankaracharya , Wu W, Scheet P, Wang S, Xing J, Glusman G, Hubley R, Li H, Garg V, Moore B, Hood L, Galas DJ, Srivastava D, Reese MG, Jorde LB, Yandell M, Huff CDJuly 2014Not Determined
24768552Create StudyConvergence of genes and cellular pathways dysregulated in autism spectrum disorders.American journal of human geneticsPinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, et al.May 1, 2014Not Determined
24718985Create StudyDetection of Mendelian consistent genotyping errors in pedigrees.Genetic epidemiologyCheung CY, Thompson EA, Wijsman EMMay 2014Not Determined
24600472Create StudyA scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism.Frontiers in geneticsCarayol J, Schellenberg GD, Dombroski B, Amiet C, Génin B, Fontaine K, Rousseau F, Vazart C, Cohen D, Frazier TW, Hardan AY, Dawson G, Rio Frio TJanuary 2014Not Determined
24507777Create StudyA statistical framework to guide sequencing choices in pedigrees.American journal of human geneticsCheung CY, Marchani Blue E, Wijsman EMFebruary 6, 2014Not Determined
24243664Create StudyPower of family-based association designs to detect rare variants in large pedigrees using imputed genotypes.Genetic epidemiologySaad M, Wijsman EMJanuary 2014Not Determined
24167172Create StudyMaternal prenatal weight gain and autism spectrum disorders.PediatricsBilder DA, Bakian AV, Viskochil J, Clark EA, Botts EL, Smith KR, Pimentel R, McMahon WM, Coon HNovember 2013Not Determined
23943636Create StudyDRAW+SneakPeek: analysis workflow and quality metric management for DNA-seq experiments.Bioinformatics (Oxford, England)Lin CF, Valladares O, Childress DM, Klevak E, Geller ET, Hwang YC, Tsai EA, Schellenberg GD, Wang LSOctober 1, 2013Not Determined
23933821Create StudyGenetic relationship between five psychiatric disorders estimated from genome-wide SNPs.Nature geneticsCross-Disorder Group of the Psychiatric Genomics Consortium, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, et al.September 2013Not Determined
23594493Create StudyIdentification of rare variants from exome sequence in a large pedigree with autism.Human heredityMarchani EE, Chapman NH, Cheung CY, Ankenman K, Stanaway IB, Coon HH, Nickerson D, Bernier R, Brkanac Z, Wijsman EM2012Not Determined
23593035Create StudyAnalysis of rare, exonic variation amongst subjects with autism spectrum disorders and population controls.PLoS geneticsLiu L, Sabo A, Neale BM, Nagaswamy U, Stevens C, Lim E, Bodea CA, Muzny D, Reid JG, Banks E, Coon H, Depristo M, Dinh H, Fennel T, Flannick J, Gabriel S, Garimella K, Gross S, Hawes A, Lewis L, Makarov V, Maguire J, Newsham I, Poplin R, Ripke S, et al.April 2013Not Determined
23561844Create StudyGIGI: an approach to effective imputation of dense genotypes on large pedigrees.American journal of human geneticsCheung CY, Thompson EA, Wijsman EMApril 4, 2013Not Determined
23453885Create StudyIdentification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.Lancet (London, England)April 2013Not Relevant
23259942Create StudyThe autism sequencing consortium: large-scale, high-throughput sequencing in autism spectrum disorders.NeuronBuxbaum JD, Daly MJ, Devlin B, Lehner T, Roeder K, State MW, Autism Sequencing ConsortiumDecember 20, 2012Not Determined
23008058Create StudyExcess mortality and causes of death in autism spectrum disorders: a follow up of the 1980s Utah/UCLA autism epidemiologic study.Journal of autism and developmental disordersBilder D, Botts EL, Smith KR, Pimentel R, Farley M, Viskochil J, McMahon WM, Block H, Ritvo E, Ritvo RA, Coon HMay 2013Not Determined
22843504Create StudyIndividual common variants exert weak effects on the risk for autism spectrum disorderspi.Human molecular geneticsAnney R, Klei L, Pinto D, Almeida J, Bacchelli E, Baird G, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Casey J, Conroy J, Correia C, Corsello C, Crawford EL, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, et al.November 1, 2012Not Determined

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
27956748Create StudyAssociation of rare missense variants in the second intracellular loop of NaV1.7 sodium channels with familial autism.Molecular psychiatryRubinstein M, Patowary A, Stanaway IB, Mccord E, Nesbitt RR, Archer M, Scheuer T, Nickerson D, Raskind WH, Wijsman EM, Bernier R, Catterall WA, Brkanac ZDecember 13, 2016
Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
genomics/omics info iconApproved
Medical History info iconApproved
Social Responsiveness Scale (SRS) info iconApproved
Comprehensive Test of Phonological Processing (CTOPP) info iconApproved
Social Communication Questionnaire (SCQ) info iconApproved
Behavior Assessment System for Children (BASC) info iconApproved
Conners info iconApproved
Developmental Behavior Checklist info iconApproved
Expanded Token Test info iconApproved
Peabody Picture Vocabulary Test, Fourth Edition info iconApproved
Wechsler Adult Intelligence Scale info iconApproved
ADOS info iconApproved
DAS-II: Differential Ability Scales info iconApproved
Research Subject and Pedigree info iconApproved
Medication List info iconApproved
Clinical Evaluation of Language Fundamentals (CELF) info iconApproved
Mullen Scales of Early Learning info iconApproved
ABC Community info iconApproved
Leiter International Performance Scale-Revised (Leiter-R) info iconApproved
Wechsler Abbreviated Scale of Intelligence (WASI) info iconApproved
Broad Autism Phenotype Questionnaire (BAPQ) info iconApproved
Repetitive Behavior Scale - Revised (RBS-R) info iconApproved
Stanford Binet info iconApproved
ADI-R info iconApproved
Physical Exam info iconApproved
Child Anxiety and Depression Scale - Parent (RCAD-P) info iconApproved
Wechsler Intelligence Scale for Children info iconApproved
Vineland (Parent and Caregiver) info iconApproved
Broader Phenotype Autism Symptom Scale (BPASS) 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
Unravelling the Collective Diagnostic Power Behind the Features in the Autism Diagnostic Observation ScheduleBackground: Autism is a group of heterogeneous disorders defined by deficits in social interaction and communication. Typically, diagnosis depends on the results of a behavioural examination called the Autism Diagnostic Observation Schedule (ADOS). Unfortunately, administration of the ADOS exam is time-consuming and requires a significant amount of expert intervention, leading to delays in diagnosis and access to early intervention programs. The diagnostic power of each feature in the ADOS exam is currently unknown. Our hypothesis is that certain features could be removed from the exam without a significant reduction in diagnostic accuracy, sensitivity or specificity. Objective: Determine the smallest subset of predictive features in ADOS module-1 (an exam variant for patients with minimal verbal skills). Methodology: ADOS module-1 datasets were acquired from the Autism Genetic Resource Exchange and the National Database for Autism Research. The datasets contained 2572 samples with the following labels: autism (1763), autism spectrum (513), and non-autism (296). The datasets were used as input to 4 different cost-sensitive classifiers in Weka (functional trees, LADTree, logistic model trees, and PART). For each classifier, a 10-fold cross validation was preformed and the number of predictive features, accuracy, sensitivity, and specificity was recorded. Results & Conclusion: Each classifier resulted in a reduction of the number of ADOS features required for autism diagnosis. The LADtree classifier was able to obtain the largest reduction, utilizing only 10 of 29 ADOS module-1 features (96.8% accuracy, 96.9% sensitivity, and 95.9% specificity). Overall, these results are a step towards a more efficient behavioural exam for autism diagnosis. 147/2172Secondary AnalysisShared
* Data not on individual level