Making Biological Sense of GWAS Data: Lessons from the FTO Locus.

Published

Journal Article

GWAS have yielded many candidate loci for complex diseases like obesity, but interpreting the biological context of these findings has been difficult. Claussnitzer et al. (2015) use a sophisticated combination of bioinformatic and experimental approaches to address this bottleneck for variants in the FTO locus that associate with obesity.

Full Text

Duke Authors

Cited Authors

  • Herman, MA; Rosen, ED

Published Date

  • October 6, 2015

Published In

Volume / Issue

  • 22 / 4

Start / End Page

  • 538 - 539

PubMed ID

  • 26445508

Pubmed Central ID

  • 26445508

Electronic International Standard Serial Number (EISSN)

  • 1932-7420

Digital Object Identifier (DOI)

  • 10.1016/j.cmet.2015.09.018

Language

  • eng

Conference Location

  • United States