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 interaction: A genetic-epidemiological approach [PDF]
Classical epidemiology addresses the distribution and determinants of diseases in populations, and the factors associated with disease causation, with the aim of preventing disease. Both genetic and environmental factors may contribute to susceptibility,
Pekmezović Tatjana
doaj
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 +2 more sources
Environment-Gene interaction in common complex diseases: New approaches
Approximately 100,000 different environmental chemicals that are in use as high production volume chemicals confront us in our daily lives. Many of the chemicals we encounter are persistent and have long half-lives in the environment and our bodies ...
William A. Toscano, Jr.+4 more
doaj +1 more source
IPRS: Leveraging Gene-Environment Interaction to Reconstruct Polygenic Risk Score
Background: Polygenic risk score (PRS) is widely regarded as a predictor of genetic susceptibility to disease, applied to individuals to predict the risk of disease occurrence.
Yingdan Tang+6 more
doaj +1 more source
Tests for Gene-Environment Interactions and Joint Effects with Exposure Misclassification [PDF]
The number of methods for genome-wide testing of gene-environment interactions (GEI) continues to increase with the hope of discovering new genetic risk factors and obtaining insight into the disease-gene-environment relationship.
Ahn, Jaeil+5 more
core +2 more sources
How combinations of gene-environment interactions collectively give rise to genotype-environment interactions is not fully understood. To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two
Takeshi Matsui, Ian M Ehrenreich
doaj +1 more source
Population and species neighbor identity impact trait–trait relationships and plant performance
We evaluated how populations and species identity influence plant performance and trait outcomes in mixtures, and assessed trait variation among populations of two forb species native to the western United States (Dieteria canescens and Heterotheca villosa) following three interaction treatments (single‐population monoculture, two‐population mixture ...
Alicia J. Foxx+2 more
wiley +1 more source
Effects of chronic browsing on life‐history traits of an irruptive large herbivore population
This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji+9 more
wiley +1 more source
Genome-Wide Interaction Analysis of Air Pollution Exposure and Childhood Asthma with Functional Follow-up [PDF]
Rationale: The evidence supporting an association between traffic-related air pollution exposure and incident childhood asthma is inconsistent and may depend on genetic factors.
Antó, Josep M+49 more
core +2 more sources