Results 31 to 40 of about 6,560,367 (336)
Springer: An R package for bi-level variable selection of high-dimensional longitudinal data
Frontiers in Genetics, 2023 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]
Frontiers in Genetics, 2014 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
Structured gene‐environment interaction analysis [PDF]
Biometrics, 2018 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
Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges
Sociological Science, 2020 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
The Genetic Architecture of Noise-Induced Hearing Loss: Evidence for a Gene-by-Environment Interaction. [PDF]
, 2016 The discovery of environmentally specific genetic effects is crucial to the understanding of complex traits, such as susceptibility to noise-induced hearing loss (NIHL).
Allayee, Hooman +10 more
core +3 more sources
NeuroToxicology, 2013 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
Scientific Reports, 2019 The influence and effect of cigarette smoking in sarcoidosis is unclear. Here, we evaluated gene-environment interaction between multiple genetic variants including HLA genes and smoking in sarcoidosis defined by two clinical phenotypes, Löfgren’s ...
Natalia V. Rivera +10 more
semanticscholar +1 more source
A novel approach to simulate gene-environment interactions in complex diseases [PDF]
, 2009 Background: Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the major part of human diseases and include those with largest prevalence and mortality (cancer, heart disease, obesity, etc ...
A Carvajal-Rodriguez +31 more
core +6 more sources
American Journal of Epidemiology, 2017 Recently, many new approaches, study designs, and statistical and analytical methods have emerged for studying gene-environment interactions (G×Es) in large-scale studies of human populations.
K. McAllister +23 more
semanticscholar +1 more source
Artificial neural networks modeling gene-environment interaction
BMC Genetics, 2012 Background Gene-environment interactions play an important role in the etiological pathway of complex diseases. An appropriate statistical method for handling a wide variety of complex situations involving interactions between variables is still lacking,
Günther Frauke +2 more
doaj +1 more source