Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions
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Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions. / Shungin, Dmitry; Deng, Wei Q; Varga, Tibor V; Luan, Jian'an; Mihailov, Evelin; Metspalu, Andres; Morris, Andrew P; Forouhi, Nita G; Lindgren, Cecilia; Magnusson, Patrik K E; Pedersen, Nancy L; Hallmans, Göran; Chu, Audrey Y; Justice, Anne E; Graff, Mariaelisa; Winkler, Thomas W; Rose, Lynda M; Langenberg, Claudia; Cupples, L Adrienne; Ridker, Paul M; Wareham, Nicholas J; Ong, Ken K; Loos, Ruth J F; Chasman, Daniel I; Ingelsson, Erik; Kilpeläinen, Tuomas O; Scott, Robert A; Mägi, Reedik; Paré, Guillaume; Franks, Paul W; GIANT Consortium.
In: P L o S Genetics, Vol. 13, No. 6, e1006812, 06.2017.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions
AU - Shungin, Dmitry
AU - Deng, Wei Q
AU - Varga, Tibor V
AU - Luan, Jian'an
AU - Mihailov, Evelin
AU - Metspalu, Andres
AU - Morris, Andrew P
AU - Forouhi, Nita G
AU - Lindgren, Cecilia
AU - Magnusson, Patrik K E
AU - Pedersen, Nancy L
AU - Hallmans, Göran
AU - Chu, Audrey Y
AU - Justice, Anne E
AU - Graff, Mariaelisa
AU - Winkler, Thomas W
AU - Rose, Lynda M
AU - Langenberg, Claudia
AU - Cupples, L Adrienne
AU - Ridker, Paul M
AU - Wareham, Nicholas J
AU - Ong, Ken K
AU - Loos, Ruth J F
AU - Chasman, Daniel I
AU - Ingelsson, Erik
AU - Kilpeläinen, Tuomas O
AU - Scott, Robert A
AU - Mägi, Reedik
AU - Paré, Guillaume
AU - Franks, Paul W
AU - GIANT Consortium
PY - 2017/6
Y1 - 2017/6
N2 - 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 <0.05). SNPs from the top 1% of the Pm distribution for BMI had more significant Pv values (PMann-Whitney = 1.46×10-5), and the odds ratio of SNPs with nominally significant (<0.05) Pm and Pv was 1.33 (95% CI: 1.12, 1.57) for BMI. Moreover, BMI SNPs with nominally significant G×E interaction P-values (Pint<0.05) were enriched with nominally significant Pv values (Pbinomial = 8.63×10-9 and 8.52×10-7 for SNP × smoking and SNP × physical activity, respectively). We conclude that some loci with strong marginal effects may be good candidates for G×E, and variance-based prioritization can be used to identify them.
AB - 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 <0.05). SNPs from the top 1% of the Pm distribution for BMI had more significant Pv values (PMann-Whitney = 1.46×10-5), and the odds ratio of SNPs with nominally significant (<0.05) Pm and Pv was 1.33 (95% CI: 1.12, 1.57) for BMI. Moreover, BMI SNPs with nominally significant G×E interaction P-values (Pint<0.05) were enriched with nominally significant Pv values (Pbinomial = 8.63×10-9 and 8.52×10-7 for SNP × smoking and SNP × physical activity, respectively). We conclude that some loci with strong marginal effects may be good candidates for G×E, and variance-based prioritization can be used to identify them.
KW - Body Mass Index
KW - Cholesterol, HDL
KW - Cholesterol, LDL
KW - European Continental Ancestry Group
KW - Female
KW - Gene-Environment Interaction
KW - Genetic Heterogeneity
KW - Genetic Predisposition to Disease
KW - Genome-Wide Association Study
KW - Genotype
KW - Humans
KW - Male
KW - Obesity
KW - Polymorphism, Single Nucleotide
KW - Quantitative Trait Loci
KW - Risk Factors
KW - Smoking
KW - Journal Article
KW - Meta-Analysis
U2 - 10.1371/journal.pgen.1006812
DO - 10.1371/journal.pgen.1006812
M3 - Journal article
C2 - 28614350
VL - 13
JO - P L o S Genetics
JF - P L o S Genetics
SN - 1553-7390
IS - 6
M1 - e1006812
ER -
ID: 182933575