SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)
- Brett S Abrahams1,
- Dan E Arking†2,
- Daniel B Campbell†3,
- Heather C Mefford†4,
- Eric M Morrow†5,
- Lauren A Weiss†6,
- Idan Menashe7, 8,
- Tim Wadkins7,
- Sharmila Banerjee-Basu7Email author and
- Alan Packer9Email author
© Abrahams et al.; licensee BioMed Central Ltd. 2013
Received: 10 June 2013
Accepted: 23 August 2013
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 (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.
Letter to the Editor
Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs)[1–5], and in some cases developed loosely defined “evidence scores” for entries[6–8]. Such efforts are incomplete, non-systematic and static. Further, this process requires the integration of diverse lines of support that are unequal. What to conclude for a replicated association with P <10-5? How does this compare to a common variant association not independently replicated, but with rare variants in the same gene? What to make of modest association accompanied by case-control gene expression differences? Given that downstream work involves considerable resources, a portal and framework enabling systematic assessments of all available evidence holds great value.
The Gene Scoring module within SFARI Gene 2.0 was built in an effort to assess the strength of evidence associated with candidate genes and address these concerns. Using a human genetics perspective, we developed a set of criteria to quantify evidence for involvement in the ASDs. These criteria, along with worked examples, are available on the SFARI website (https://gene.sfari.org/autdb/GS_Classification.do). We set out with three guiding principles. First, that relationship to ASD should be based on evaluation of genetic variation in human cohorts. Second, that we start with no assumptions about individual genes. And, finally, that a system to permit active involvement from the scientific community should be at the core of this endeavor. For genes already included in the portal, users with a SFARI login are able to add their own scores alongside curated calls (https://gene.sfari.org/autdb/search); these are viewable by the entire community in the form of “counts”. Registered individuals are also able to propose scores for genes not yet included in the database (https://gene.sfari.org/autdb/user/AddAGene.do), and also suggest modifications to the scoring criteria. Oversight by staff curators and ad hoc review by the SFARI Gene Advisory Board together with score histories and a versioning system for scoring criteria will ensure consistency and stability. Although the scoring system we have developed is itself not entirely immune to bias, evidence is examined and applied in a systemic fashion and is sensitive to community feedback.
Using these newly developed criteria, we scored an initial set of 196 genes. Scores and associated annotation were deposited into a newly developed gene-centric web interface. Beyond the gene score itself, a summary of the underlying rationale, links to PubMed and other external databases, functional annotation and a compendium of all identified variants are included. Video tutorials, outlining use of the community annotation interface, have also been developed to facilitate broad uptake (http://www.youtube.com/watch?v=x6PcOXVK0bY). Importantly, all of the underlying data are fully downloadable.
More than half of all scored genes were placed within the “Minimal Evidence Category”
Average year of discovery
Papers expected (all years)1
Although similar in concept to other efforts, SFARI Gene 2.0 differs in terms of philosophy, methodology and output. To minimize bias, we did not begin with any discussion or review of the literature, but rather the establishment of formalized criteria to quantify available support. Application of these criteria resulted in the identification of genes which despite substantial support had received little or no attention from the field. Also new and unique to SFARI Gene 2.0 is a mechanism that enables researchers to provide reasoned arguments for the introduction of new genes, offer alternate scores that sit alongside existing ones, and provide suggestions for the modification of the scoring criteria. Extensive safeguards - including staff and advisory board oversight - are in place to ensure the quality and utility of the resource.
In summary, key strengths of SFARI Gene 2.0 include explicitly defined scoring criteria, continuous updates and infrastructure to permit community based involvement. We see enormous potential for the resource, a blend of OMIM and Wikipedia, and suggest that it may be useful in helping to ensure the relevance of future computational and functional studies to disease.
Autism spectrum disorder.
SFARI Gene 2.0 is funded by the Simons Foundation. The portal developed for this work was created by Ravi Kollu at MindSpec. We thank members of the Simons Foundation Autism Research Initiative staff for helpful feedback and support, including: G. Fischbach, D. Choi, M. Carlson, J. Spiro, M. Benedetti, A. Mandavilli, A. Tauro-Greenberg and C. Fleisch.
- Basu SN, Kollu R, Banerjee-Basu S: AutDB: a gene reference resource for autism research. Nucleic Acids Res. 2009, 37: 832-836. 10.1093/nar/gkn941.View ArticleGoogle Scholar
- Matuszek G, Talebizadeh Z: Autism Genetic Database (AGD): a comprehensive database including autism susceptibility gene-CNVs integrated with known noncoding RNAs and fragile sites. BMC Med Genet. 2009, 10: 102-10.1186/1471-2350-10-102. Epub 2009/09/26PubMed CentralView ArticlePubMedGoogle Scholar
- Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Almeida J, Bacchelli E, Bader GD, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Bryson SE, Carson AR, Casallo G, Casey J, Chung BH, Cochrane L, Corsello C: Functional impact of global rare copy number variation in autism spectrum disorders. Nature. 2010, 466: 368-372. 10.1038/nature09146.PubMed CentralView ArticlePubMedGoogle Scholar
- Betancur C: Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 2011, 1380: 42-77.View ArticlePubMedGoogle Scholar
- Weiss LA, Arking DE, Daly MJ, Chakravarti A, Gene Discovery Project of Johns Hopkins & the Autism Consortium: A genome-wide linkage and association scan reveals novel loci for autism. Chakravarti A. Nature. 2009, 461 (7265): 802-808.View ArticlePubMedGoogle Scholar
- Abrahams BS, Geschwind DH: Advances in autism genetics: on the threshold of a new neurobiology. Nat Rev Genet. 2008, 9 (5): 341-355. 10.1038/nrg2346.PubMed CentralView ArticlePubMedGoogle Scholar
- Abrahams BS, Geschwind DH: Genetics of autism. Vogel and Motulsky's Human Genetics: Problems & Approaches. Edited by: Speicher MR, Antonarakis SE, Motulsky AG. 2009, Berlin: Springer-Verlag, 699-714. 4Google Scholar
- Xu LM, Li JR, Huang Y, Zhao M, Tang X, Wei L: AutismKB: an evidence-based knowledgebase of autism genetics. Nucleic Acids Res. 2012, 40: D1016-D1022. 10.1093/nar/gkr1145.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.