Unknown

Dataset Information

0

A general model for multilocus epistatic interactions in case-control studies.


ABSTRACT: BACKGROUND: Epistasis, i.e., the interaction of alleles at different loci, is thought to play a central role in the formation and progression of complex diseases. The complexity of disease expression should arise from a complex network of epistatic interactions involving multiple genes. METHODOLOGY: We develop a general model for testing high-order epistatic interactions for a complex disease in a case-control study. We incorporate the quantitative genetic theory of high-order epistasis into the setting of cases and controls sampled from a natural population. The new model allows the identification and testing of epistasis and its various genetic components. CONCLUSIONS: Simulation studies were used to examine the power and false positive rates of the model under different sampling strategies. The model was used to detect epistasis in a case-control study of inflammatory bowel disease, in which five SNPs at a candidate gene were typed, leading to the identification of a significant three-locus epistasis.

SUBMITTER: Wang Z 

PROVIDER: S-EPMC2909900 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

altmetric image

Publications

A general model for multilocus epistatic interactions in case-control studies.

Wang Zhong Z   Liu Tian T   Lin Zhenwu Z   Hegarty John J   Koltun Walter A WA   Wu Rongling R  

PloS one 20100818 8


<h4>Background</h4>Epistasis, i.e., the interaction of alleles at different loci, is thought to play a central role in the formation and progression of complex diseases. The complexity of disease expression should arise from a complex network of epistatic interactions involving multiple genes.<h4>Methodology</h4>We develop a general model for testing high-order epistatic interactions for a complex disease in a case-control study. We incorporate the quantitative genetic theory of high-order epist  ...[more]

Similar Datasets

| S-EPMC2648748 | biostudies-literature
| S-EPMC3665501 | biostudies-literature
| S-EPMC2669883 | biostudies-literature
| S-EPMC4499013 | biostudies-literature
| S-EPMC2065793 | biostudies-literature
| S-EPMC8247649 | biostudies-literature
| S-EPMC4430477 | biostudies-other
| S-EPMC3800020 | biostudies-literature
| S-EPMC3059247 | biostudies-literature
| S-EPMC4006951 | biostudies-literature