Open Access Open Badges Letter to the Editor

SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)

Brett S Abrahams1, Dan E Arking2, Daniel B Campbell3, Heather C Mefford4, Eric M Morrow5, Lauren A Weiss6, Idan Menashe78, Tim Wadkins7, Sharmila Banerjee-Basu7* and Alan Packer9*

Author Affiliations

1 Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA

2 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA

3 Zilkha Neurogenetic Institute and Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA

4 Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA, USA

5 Department of Molecular Biology, Cell Biology and Biochemistry; and Department of Psychiatry and Human Behavior, Brown University, Providence, RI, USA

6 IMHRO/Staglin Assistant Professor, Department of Psychiatry, Institute for Human Genetics, Center for Neurobiology and Psychiatry, UCSF, San Francisco, CA, USA

7 MindSpec Inc., 8280 Greensboro Drive, Suite 150, McLean, VA, USA

8 Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel

9 Simons Foundation Autism Research Initiative, New York, NY, USA

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Molecular Autism 2013, 4:36  doi:10.1186/2040-2392-4-36

Published: 3 October 2013


New technologies enabling genome-wide interrogation have led to a large and rapidly growing number of autism spectrum disorder (ASD) candidate genes. Although encouraging, the volume and complexity of these data make it challenging for scientists, particularly non-geneticists, to comprehensively evaluate available evidence for individual genes. Described here is the Gene Scoring module within SFARI Gene 2.0 ( webcite), a platform developed to enable systematic community driven assessment of genetic evidence for individual genes with regard to ASD.