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Mol Autism. 2013 Oct 3;4(1):36. doi: 10.1186/2040-2392-4-36.

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

Author information

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.
#
Contributed equally

Abstract

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 (https://gene.sfari.org/autdb/GS_Home.do), a platform developed to enable systematic community driven assessment of genetic evidence for individual genes with regard to ASD.

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