Type 2 diabetes: genetic data sharing to advance complex disease research.

Nat Rev Genet
Authors
Abstract

As with other complex diseases, unbiased association studies followed by physiological and experimental characterization have for years formed a paradigm for identifying genes or processes of relevance to type 2 diabetes mellitus (T2D). Recent large-scale common and rare variant genome-wide association studies (GWAS) suggest that substantially larger association studies are needed to identify most T2D loci in the population. To hasten clinical translation of genetic discoveries, new paradigms are also required to aid specialized investigation of nascent hypotheses. We argue for an integrated T2D knowledgebase, designed for a worldwide community to access aggregated large-scale genetic data sets, as one paradigm to catalyse convergence of these efforts.

Year of Publication
2016
Journal
Nat Rev Genet
Volume
17
Issue
9
Pages
535-49
Date Published
2016 Sep
ISSN
1471-0064
DOI
10.1038/nrg.2016.56
PubMed ID
27402621
Links