Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions
Dmitry Shungin,
Wei Q Deng,
Tibor V Varga,
Jian'an Luan,
Evelin Mihailov,
Andres Metspalu,
Consortium Giant,
Andrew P Morris,
Nita G Forouhi,
Cecilia Lindgren,
Patrik K E Magnusson,
Nancy L Pedersen,
Göran Hallmans,
Audrey Y Chu,
Anne E Justice,
Mariaelisa Graff,
Thomas W Winkler,
Lynda M Rose,
Claudia Langenberg,
L Adrienne Cupples,
Paul M Ridker,
Nicholas J Wareham,
Ken K Ong,
Ruth J F Loos,
Daniel I Chasman,
Erik Ingelsson,
Tuomas O Kilpeläinen,
Robert A Scott,
Reedik Mägi,
Guillaume Paré and
Paul W Franks
PLOS Genetics, 2017, vol. 13, issue 6, 1-15
Abstract:
Phenotypic variance heterogeneity across genotypes at a single nucleotide polymorphism (SNP) may reflect underlying gene-environment (G×E) or gene-gene interactions. We modeled variance heterogeneity for blood lipids and BMI in up to 44,211 participants and investigated relationships between variance effects (Pv), G×E interaction effects (with smoking and physical activity), and marginal genetic effects (Pm). Correlations between Pv and Pm were stronger for SNPs with established marginal effects (Spearman’s ρ = 0.401 for triglycerides, and ρ = 0.236 for BMI) compared to all SNPs. When Pv and Pm were compared for all pruned SNPs, only BMI was statistically significant (Spearman’s ρ = 0.010). Overall, SNPs with established marginal effects were overrepresented in the nominally significant part of the Pv distribution (Pbinomial
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1006812
DOI: 10.1371/journal.pgen.1006812
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