Background The analysis of complex diseases is an important problem in human genetics. Because multifactoriality is expected to play a pivotal role, many studies are currently focused on collecting information on the genetic and environmental factors ...
Pinelli Michele+4 more
doaj +1 more source
Gene–Environment Interactions at Nucleotide Resolution
Interactions among genes and the environment are a common source of phenotypic variation. To characterize the interplay between genetics and the environment at single nucleotide resolution, we quantified the genetic and environmental interactions of four quantitative trait nucleotides (QTN) that govern yeast sporulation efficiency. We first constructed
Gerke, Justin+3 more
openaire +6 more sources
The impact of imprecisely measured covariates on estimating gene-environment interactions [PDF]
BACKGROUND The effects of measurement error in epidemiological exposures and confounders on estimated effects of exposure are well described, but the effects on estimates for gene-environment interactions has received rather less attention.
Cade, J.E.+2 more
core +2 more sources
Effects of Thyroxine Exposure on Osteogenesis in Mouse Calvarial Pre-Osteoblasts [PDF]
The incidence of craniosynostosis is one in every 1,800-2500 births. The gene-environment model proposes that if a genetic predisposition is coupled with environmental exposures, the effects can be multiplicative resulting in severely abnormal phenotypes.
A Mansukhani+58 more
core +10 more sources
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
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
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
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