SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)
Brett S. Abrahams(Albert Einstein College of Medicine), Dan E. Arking(Johns Hopkins University), Jerry L. Campbell(University of Southern California), Heather C. Mefford(University of Washington), Eric M. Morrow(Brown University), Lauren A. Weiss(Center for Human Genetics), Idan Menashe(Ben-Gurion University of the Negev), Tim Wadkins(MindSpec), Sharmila Banerjee‐Basu(MindSpec), Alan Packer(Simons Foundation)
Cited by 936Open Access
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.