Data supporting paper "Molecular genetic contributions to social deprivation and household income in UK Biobank". Current Biology (2016). doi: 10.1016/j.cub.2016.09.035 ## Note re working with data ##

DataCite Commons2023-04-27 更新60

Data_Sheet_1_Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection.ZIP

基因-环境交互

贝叶斯变量选择

In high-throughput genetics studies, an important aim is to identify gene–environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization methods have been dev

NIAID Data Ecosystem40

ukb66354.UC.mqtl.snps.wGRS.487409.dosage.Rdata

表观遗传学

基因-环境交互

This data contains of the information on the mqtls of smoking-related methylation and is used to perform the G-E interaction analysis.

DataCite Commons2023-11-08 更新80

Risk of having high values of HOMA_IR (above the 75th percentile) at the follow-up study according to ELOVL6 SNPs.

遗传关联分析

基因-环境交互

Logistic regression model. *Adjusted for age, sex and presence of obesity. †Adjusted for age, sex, presence of obesity and intake of oil (olive vs sunflower). P cod: P value for codominant model. P do

NIAID Data Ecosystem40

E-GEOD-26025

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