pgen.1009750.s010.xlsx (17.09 kB)
Results for all models for the four UKB cohorts (joint GxSmkxSex interactions).
dataset
posted on 2021-09-09, 17:31 authored by Carmen Amador, Yanni Zeng, Michael Barber, Rosie M. Walker, Archie Campbell, Andrew M. McIntosh, Kathryn L. Evans, David J. Porteous, Caroline Hayward, James F. Wilson, Pau Navarro, Chris S. HaleyThe tables show, for each trait, proportion of the phenotypic variance explained (Var), standard error (SE), Significance of the t-statistic (Sig, P), P value for the log-likelihood ratio test (LRT P, only for the interactions) by each of the components in the model: Genetic (G), Kinship (K), Genome-by-Smoking-by-Sex interaction (GxSmkxSex). Highlighted P values indicate nominally significant results for the interaction components in each of the four sub-cohorts of UK Biobank (G1, G2, G3, G4) and their Meta-Analyses.
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individual genes linkedexploiting omic measuresbetter understand causesrelevant environmental covariatesglobal obesity pandemicrelated traits cannotxlink "> variationreported smoking dataenvironmental changes relatedobesity related traitsrelated traitssocioeconomic changesenvironmental variablesenvironmental recordscomplex traitswide perspectiveusually associatedtotal contributionsmoking interactionsresults indicateimprove modelsgenetic contributiongenetic basisdescribed interactionscompared selfbased proxyaccurately assessed70 %.
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