Update on the state of the science for analytical methods for gene-environment interactions
The analysis of gene-environment interaction (G× E) may hold the key for further
understanding the etiology of many complex traits. The current availability of high-volume …
understanding the etiology of many complex traits. The current availability of high-volume …
Challenges and opportunities in genome-wide environmental interaction (GWEI) studies
The interest in performing gene–environment interaction studies has seen a significant
increase with the increase of advanced molecular genetics techniques. Practically, it …
increase with the increase of advanced molecular genetics techniques. Practically, it …
Genome-wide association study identifies multiple loci associated with bladder cancer risk
JD Figueroa, Y Ye, A Siddiq… - Human molecular …, 2014 - academic.oup.com
Candidate gene and genome-wide association studies (GWAS) have identified 11
independent susceptibility loci associated with bladder cancer risk. To discover additional …
independent susceptibility loci associated with bladder cancer risk. To discover additional …
Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer
M Garcia-Closas, N Rothman, JD Figueroa… - Cancer research, 2013 - AACR
Bladder cancer results from the combined effects of environmental and genetic factors,
smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint …
smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint …
Regularized sandwich estimators for analysis of high-dimensional data using generalized estimating equations
DI Warton - Biometrics, 2011 - academic.oup.com
A modification of generalized estimating equations (GEEs) methodology is proposed for
hypothesis testing of high-dimensional data, with particular interest in multivariate …
hypothesis testing of high-dimensional data, with particular interest in multivariate …
Multiple imputation in quantile regression
Y Wei, Y Ma, RJ Carroll - Biometrika, 2012 - academic.oup.com
We propose a multiple imputation estimator for parameter estimation in a quantile
regression model when some covariates are missing at random. The estimation procedure …
regression model when some covariates are missing at random. The estimation procedure …
Statistical methods for gene–environment interaction analysis
Most human complex phenotypes result from multiple genetic and environmental factors and
their interactions. Understanding the mechanisms by which genetic and environmental …
their interactions. Understanding the mechanisms by which genetic and environmental …
[HTML][HTML] Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia
We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide
association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia …
association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia …
Next generation analytic tools for large scale genetic epidemiology studies of complex diseases
LE Mechanic, HS Chen, CI Amos… - Genetic …, 2012 - Wiley Online Library
Over the past several years, genome‐wide association studies (GWAS) have succeeded in
identifying hundreds of genetic markers associated with common diseases. However, most …
identifying hundreds of genetic markers associated with common diseases. However, most …
Likelihood Ratio Test for Detecting Gene (G)-Environment (E) Interactions Under an Additive Risk Model Exploiting G-E Independence for Case-Control Data
SS Han, PS Rosenberg… - American journal of …, 2012 - academic.oup.com
There has been a long-standing controversy in epidemiology with regard to an appropriate
risk scale for testing interactions between genes (G) and environmental exposure (E) …
risk scale for testing interactions between genes (G) and environmental exposure (E) …