title: Making Biological Sense of GWAS Data: Lessons from the FTO Locus.
abstract: 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.
authors.affiliation: Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Broad Institute, Cambridge, MA 02142, USA.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Herman
authors.affiliation: Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Broad Institute, Cambridge, MA 02142, USA. Electronic address: erosen@bidmc.harvard.edu.
authors.forename: Evan D
authors.initials: ED
authors.lastname: Rosen
mesh_terms: D017667:Adipocytes / Q000378:metabolism*; D000818:Animals; D006801:Humans; D009765:Obesity / Q000235:genetics*; D011506:Proteins / Q000235:genetics*; D022722:Thermogenesis / Q000235:genetics*
chemical_list: D011506:Proteins