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Diabetes in the post-GWAS era

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.

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Figure 1: Proposed mechanism for the contribution of variation in MTNR1B to type 2 diabetes risk.

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References

  1. Wall, J.D. & Pritchard, J.K. Nat. Rev. Genet. 4, 587–597 (2003).

    Article  CAS  Google Scholar 

  2. Gaulton, K.J. et al. Nat. Genet. 47, 1415–1425 (2015).

    Article  CAS  Google Scholar 

  3. Voight, B.F. et al. PLoS Genet. 8, e1002793 (2012).

    Article  CAS  Google Scholar 

  4. ENCODE Project Consortium. Nature 489, 57–74 (2012).

  5. Trynka, G. et al. Nat. Genet. 45, 124–130 (2013).

    Article  CAS  Google Scholar 

  6. Parker, S.C. et al. Proc. Natl. Acad. Sci. USA 110, 17921–17926 (2013).

    Article  CAS  Google Scholar 

  7. Okada, Y. et al. Nature 506, 376–381 (2014).

    Article  CAS  Google Scholar 

  8. Farh, K.K. et al. Nature 518, 337–343 (2015).

    Article  CAS  Google Scholar 

  9. Onengut-Gumuscu, S. et al. Nat. Genet. 47, 381–386 (2015).

    Article  CAS  Google Scholar 

  10. Pasquali, L. et al. Nat. Genet. 46, 136–143 (2014).

    Article  CAS  Google Scholar 

  11. Lantz, K.A. et al. J. Clin. Invest. 114, 512–520 (2004).

    Article  CAS  Google Scholar 

  12. Lee, C.S. et al. Diabetes 51, 2546–2551 (2002).

    Article  CAS  Google Scholar 

  13. Mohlke, K.L. & Boehnke, M. Hum. Mol. Genet. 24, R85–R92 (2015).

    Article  CAS  Google Scholar 

Download references

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Correspondence to Constantin Polychronakos.

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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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