Large sample sizes, high-resolution arrays and comprehensive imputation are pushing genetic fine-mapping of complex trait loci to its limits without, in most cases, pinpointing a unique variant-gene combination. Superimposing these results on sophisticated maps of functional chromatin elements promises to break this logjam, as a new study of type 2 diabetes compellingly demonstrates.
References
Wall, J.D. & Pritchard, J.K. Nat. Rev. Genet. 4, 587–597 (2003).
Gaulton, K.J. et al. Nat. Genet. 47, 1415–1425 (2015).
Voight, B.F. et al. PLoS Genet. 8, e1002793 (2012).
ENCODE Project Consortium. Nature 489, 57–74 (2012).
Trynka, G. et al. Nat. Genet. 45, 124–130 (2013).
Parker, S.C. et al. Proc. Natl. Acad. Sci. USA 110, 17921–17926 (2013).
Okada, Y. et al. Nature 506, 376–381 (2014).
Farh, K.K. et al. Nature 518, 337–343 (2015).
Onengut-Gumuscu, S. et al. Nat. Genet. 47, 381–386 (2015).
Pasquali, L. et al. Nat. Genet. 46, 136–143 (2014).
Lantz, K.A. et al. J. Clin. Invest. 114, 512–520 (2004).
Lee, C.S. et al. Diabetes 51, 2546–2551 (2002).
Mohlke, K.L. & Boehnke, M. Hum. Mol. Genet. 24, R85–R92 (2015).
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Polychronakos, C., Alriyami, M. Diabetes in the post-GWAS era. Nat Genet 47, 1373–1374 (2015). https://doi.org/10.1038/ng.3453
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DOI: https://doi.org/10.1038/ng.3453
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