We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we
(i) extend the inventory of T2D-risk variants;
(ii) enrich discovery of lower-frequency risk alleles;
(iii) substantially improve fine-mapping of causal variants;
(iv) extend fine-mapping through integration of tissue-specific epigenomic information;
(v) highlight validated therapeutic targets; and
(vi) demonstrate enhanced potential for clinical translation

dx.doi.org/10.1038/s41588-018-0241-6, hdl.handle.net/1765/112372
Nature Genetics
Department of Epidemiology

Mahajan, A, Taliun, D, Thurner, M, Robertson, N.R, Torres, J, Rayner, N.W, … McCarthy, M.I. (2018). Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nature Genetics, 50(11), 1505–1513. doi:10.1038/s41588-018-0241-6