A flexible Bayesian model for studying gene-environment interaction. [PDF]
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 ...
Kai Yu +6 more
doaj +1 more source
Springer: An R package for bi-level variable selection of high-dimensional longitudinal data
In high-dimensional data analysis, the bi-level (or the sparse group) variable selection can simultaneously conduct penalization on the group level and within groups, which has been developed for continuous, binary, and survival responses in the ...
Fei Zhou +4 more
doaj +1 more source
Regulation of Pancreatic β-Cell Mass by Gene-Environment Interaction [PDF]
The main pathogenic mechanism of diabetes consists of an increase in insulin resistance and a decrease in insulin secretion from pancreatic β-cells. The number of diabetic patients has been increasing dramatically worldwide, especially in Asian people ...
Shun-ichiro Asahara +2 more
doaj +1 more source
Gene–environment interactions in human health: case studies and strategies for developing new paradigms and research methodologies [PDF]
THE SYNERGISTIC EFFECTS OF GENES AND THE ENVIRONMENT ON HEALTH ARE EXPLORED IN THREE CASE STUDIES: adult lactase persistence, autism spectrum disorders, and the metabolic syndrome, providing examples of the interactive complexities underlying these phenotypes.
openaire +4 more sources
Hawaiian Picture‐Winged Drosophila Exhibit Adaptive Population Divergence along a Narrow Climatic Gradient on Hawaii Island [PDF]
1. Anthropogenic influences on global processes and climatic conditions are increasingly affecting ecosystems throughout the world. 2. Hawaii Island’s native ecosystems are well studied and local long‐term climatic trends well documented, making these ...
Bellinger, M. Renee +2 more
core +2 more sources
Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges
Interest in the study of gene–environment interaction has recently grown due to the sudden availability of molecular genetic data—in particular, polygenic scores—in many long-running longitudinal studies.
Benjamin W. Domingue +3 more
doaj +1 more source
Structured gene‐environment interaction analysis [PDF]
For the etiology, progression, and treatment of complex diseases, gene‐environment (G‐E) interactions have important implications beyond the main G and E effects.
Mengyun Wu, Qingzhao Zhang, Shuangge Ma
semanticscholar +1 more source
Glioblastoma multiforme (GBM) is the most common and aggressive type of human brain tumor. Although considerable efforts to delineate the underlying pathophysiological pathways have been made during the last decades, only very limited progress on treatment have been achieved because molecular pathways that drive the aggressive nature of GBM are largely
Department of Environmental and Occupational Health, Florida International University, Miami, FL 33199, United States ( host institution ) +3 more
openaire +3 more sources
Alcohol consumption and lifetime change in cognitive ability:a gene × environment interaction study [PDF]
Studies of the effect of alcohol consumption on cognitive ability are often confounded. One approach to avoid confounding is the Mendelian randomization design.
AJ Birley +39 more
core +1 more source
Candidate gene-environment interactions in substance abuse: A systematic review.
BackgroundThe abuse of psychogenic drugs can lead to multiple health-related problems. Genetic and environmental vulnerabilities are factors in the emergence of substance use disorders.
Zheng Jiang, Zidong Chen, Xi Chen
doaj +1 more source

