A Nonlinear Model for Gene-Based Gene-Environment Interaction
نویسندگان
چکیده
منابع مشابه
A Nonlinear Model for Gene-Based Gene-Environment Interaction
A vast amount of literature has confirmed the role of gene-environment (G×E) interaction in the etiology of complex human diseases. Traditional methods are predominantly focused on the analysis of interaction between a single nucleotide polymorphism (SNP) and an environmental variable. Given that genes are the functional units, it is crucial to understand how gene effects (rather than single SN...
متن کاملA Gene-Environment Interaction
Background—Particulate air pollution has been associated with cardiovascular mortality and morbidity. Transition metals such as iron bound to the particles may be responsible for those associations. The protein product of the hemochromatosis (HFE) gene modulates uptake of iron and divalent cations from pulmonary sources and reduces their toxicity. Two HFE polymorphisms (C282Y and H63D) associat...
متن کاملA Flexible Bayesian Model for Studying Gene–Environment Interaction
An important follow-up step after genetic markers are found to be associated with a disease outcome is a more detailed analysis investigating how the implicated gene or chromosomal region and an established environment risk factor interact to influence the disease risk. The standard approach to this study of gene-environment interaction considers one genetic marker at a time and therefore could...
متن کاملGene–Environment Interaction in Yeast Gene Expression
The effects of genetic variants on phenotypic traits often depend on environmental and physiological conditions, but such gene-environment interactions are poorly understood. Recently developed approaches that treat transcript abundances of thousands of genes as quantitative traits offer the opportunity to broadly characterize the architecture of gene-environment interactions. We examined the g...
متن کاملA model-based kernel machine method for gene-centric gene-gene interaction
Much of the natural variation for a complex trait can be explained by the structural variation in DNA sequences. As part of the sequence variation, gene-gene interaction or epistasis has been ubiquitously observed in nature where its role in shaping the development of an organism has been broadly recognized. The identification of genetic epistasis has been progressively pursued via statistical ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Molecular Sciences
سال: 2016
ISSN: 1422-0067
DOI: 10.3390/ijms17060882