Cited by 91Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental DisordersGenetic Associations and Epidemiology

Changing the Landscape of Autism Research: The Autism Genetic Resource Exchange

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Lajonchere, Clara M.·2010·Neuron

Abstract

Autism Speaks' Autism Genetic Resource Exchange (AGRE) represents the largest private collection of genetic and phenotype data for families with ASD that is made available to qualified researchers worldwide. The availability of large and comprehensive registries that include detailed phenotype and genetic information for individuals affected with an ASD and family members is crucial for the discovery of autism susceptibility genes and the development and application of biologically based approaches to diagnosis and treatment. The model that AGRE has developed can be applied broadly to other disorders with complex etiologies.

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Authors
Lajonchere, C. M.
Affiliations
Autism Speaks (US)
Corresponding author
Lajonchere, Clara M.
Venue
Neuron
Publisher
Elsevier BV
Published
2010-10
Volume
68
Issue
2
Pages
187-191
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2048517170
Cited by
91
References
9
Citations by year
2026: 3 · 2025: 2 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 9 · 2020: 17 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 3 · 2015: 6 · 2014: 9 · 2013: 10 · 2012: 3
FWCI
3.30
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship@UMassChan (submittedVersion)
Funders
  • Autism Speaks
  • University of Southern California
  • University of Pennsylvania
  • National Institutes of Health
  • National Institute of Mental Health (U24MH081810)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
autism spectrum disorder, genetic registry, autism susceptibility genes, genomic data sharing, phenotype data, family-based genetic study, autism diagnosis, autism treatment
MeSH terms
Autistic Disorder, Humans, Computational Biology, Genetic Predisposition to Disease, Information Dissemination, Biomedical Research

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