Studies of gene-environment interactions (G×E) have been considered important owing to their scientific and public health implications. Indeed, many common complex diseases including inflammatory bowel disease (IBD) are presumed to rely on both genetic (G) and environmental (E) risk factors. One major challenge to G×E studies is the insufficient power of traditional epidemiological study designs. A nontraditional approach, the case-only (CO) design, has been proposed as a potentially efficient strategy to assess G×E. Previously, the CO approach was shown to provide better per-sample power compared to other epidemiological study designs including case-control or cohort designs. This approach relies upon two key assumptions, namely that (i) t...
Several methods for screening gene-environment interaction have recently been proposed that address ...
With advances in molecular genetic technology, more studies will examine gene-environment interactio...
The independence assumption for a case-only analysis of statistical interaction, i. e. that genetic ...
In search of the origin of complex human diseases such as inflammatory bowel disease (IBD) and Parki...
To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and en...
When the case-only study design is used to estimate statistical interaction between genetic (G) and ...
The case-only test has been proposed as a more powerful approach to detect gene-environment (G×E) in...
Despite the importance of gene-environment (G×E) interactions in the etiology of common diseases, li...
The number of methods for genome-wide testing of gene-environment interactions (GEI) continues to in...
The case-only study is a convenient approach and provides increased statistical efficiency in detect...
There are over 100,000 human diseases of which only around 10,000 are known to be monogenic, resulti...
Although case-control studies are suitable for assessing gene-environment interactions, choosing app...
Many popular methods for exploring gene-gene interactions, including the case-only approach, rely on...
BACKGROUND: A design combining both related and unrelated controls, named the case-combined-control ...
UnrestrictedMany complex diseases (e.g. asthma, diabetes) are likely to be a result of the interplay...
Several methods for screening gene-environment interaction have recently been proposed that address ...
With advances in molecular genetic technology, more studies will examine gene-environment interactio...
The independence assumption for a case-only analysis of statistical interaction, i. e. that genetic ...
In search of the origin of complex human diseases such as inflammatory bowel disease (IBD) and Parki...
To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and en...
When the case-only study design is used to estimate statistical interaction between genetic (G) and ...
The case-only test has been proposed as a more powerful approach to detect gene-environment (G×E) in...
Despite the importance of gene-environment (G×E) interactions in the etiology of common diseases, li...
The number of methods for genome-wide testing of gene-environment interactions (GEI) continues to in...
The case-only study is a convenient approach and provides increased statistical efficiency in detect...
There are over 100,000 human diseases of which only around 10,000 are known to be monogenic, resulti...
Although case-control studies are suitable for assessing gene-environment interactions, choosing app...
Many popular methods for exploring gene-gene interactions, including the case-only approach, rely on...
BACKGROUND: A design combining both related and unrelated controls, named the case-combined-control ...
UnrestrictedMany complex diseases (e.g. asthma, diabetes) are likely to be a result of the interplay...
Several methods for screening gene-environment interaction have recently been proposed that address ...
With advances in molecular genetic technology, more studies will examine gene-environment interactio...
The independence assumption for a case-only analysis of statistical interaction, i. e. that genetic ...