2018-08-03It is commonly believed that most complex diseases are affected in part by gene-environment interactions. Correspondingly, multiple methods have been proposed to detect gene-environment interactions. However, which one is the most powerful under different conditions? In this thesis, we compared four kinds of the most commonly used methods to see which one outperforms others in most cases
Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. ...
The purpose of our work was to develop heuristics for visualizing and interpreting gene-environment ...
The analysis of gene-environment (G × E) interactions remains one of the greatest challenges i...
[[abstract]]Despite the importance of gene-environment (G x E) interactions in the etiology of commo...
International audienceABSTRACT : Identifying gene-environment (G x E) interactions has become a cruc...
The content is solely the responsibility of the authors and does not necessarily represent the offic...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
UnrestrictedMany complex diseases (e.g. asthma, diabetes) are likely to be a result of the interplay...
Recently, many new approaches, study designs, and statistical and analytical methods have emerged fo...
Complex trait variation is likely to be explained by the combined effects of genes, environmental fa...
It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affecte...
Complex diseases are likely to be caused by the interplay of genetic and environmental factors. Desp...
Motivation: The risk of many complex diseases is determined by an interplay of genetic and environme...
The interest in studying gene-environment interaction is increasing for complex diseases. However, m...
To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and en...
Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. ...
The purpose of our work was to develop heuristics for visualizing and interpreting gene-environment ...
The analysis of gene-environment (G × E) interactions remains one of the greatest challenges i...
[[abstract]]Despite the importance of gene-environment (G x E) interactions in the etiology of commo...
International audienceABSTRACT : Identifying gene-environment (G x E) interactions has become a cruc...
The content is solely the responsibility of the authors and does not necessarily represent the offic...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
UnrestrictedMany complex diseases (e.g. asthma, diabetes) are likely to be a result of the interplay...
Recently, many new approaches, study designs, and statistical and analytical methods have emerged fo...
Complex trait variation is likely to be explained by the combined effects of genes, environmental fa...
It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affecte...
Complex diseases are likely to be caused by the interplay of genetic and environmental factors. Desp...
Motivation: The risk of many complex diseases is determined by an interplay of genetic and environme...
The interest in studying gene-environment interaction is increasing for complex diseases. However, m...
To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and en...
Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. ...
The purpose of our work was to develop heuristics for visualizing and interpreting gene-environment ...
The analysis of gene-environment (G × E) interactions remains one of the greatest challenges i...