Steve Buyske

TL;DR: In additional genome-wide meta-analyses adjusting for PA and interaction with PA, 11 novel adiposity loci are identified, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

TL;DR: It is demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data, which subsequently enhanced gene-mapping power for complex traits.

TL;DR: Using a phenome-wide association study (PheWAS) approach, genetic variants for association with phenotypes available for 70,061 study participants in the Population Architecture using Genomics and Epidemiology (PAGE) network are tested to better characterize the genetic architecture of complex traits and identify novel pleiotropic relationships.

TL;DR: The results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution, and highlight the importance of accounting for environment in genetic analyses.

TL;DR: In this paper, the authors used GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI.