Results 1 to 10 of about 925,753 (259)
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
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Genotype by environment interaction for gene expression in Drosophila melanogaster
Huang et al. show that developing under different temperatures changes the genetic architecture of regulatory variation in Drosophila melanogaster gene expression yet the co-expression network remains robust.
Wen Huang +4 more
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Interactions between genetic factors and environmental exposures are thought to be major contributors to the etiology of Parkinson's disease. While such interactions are poorly defined and incompletely understood, recent epidemiological studies have ...
Jason R. Cannon, J. Timothy Greenamyre
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Social Integration and Sleep Disturbance: A Gene-Environment Interaction Study
Objective: Low levels of perceived social integration, or loneliness, are associated with increased risk for a range of poor health outcomes. Sleep disturbance plays a central role in the evolutionary theory of loneliness, which provides a mechanistic ...
David A. Sbarra
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BackgroundOsteoporosis is a complex disease influenced by genetic variants, environmental factors, and comorbidities. While individual single-nucleotide variants (SNVs) have been associated with disease risk, limited data are available on how gene–gene ...
Antonio Miranda-Duarte +8 more
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Epigenetic metaphors: an interdisciplinary translation of encoding and decoding
Looking at the new and often disputed science of epigenetics, we examined the challenges faced by scientists when they communicate scientific research to the public. We focused on the use of metaphors to illustrate notions of epigenetics and genetics. We
Aviad Raz +2 more
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Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy
Background: Single nucleotide polymorphisms (SNPs) may influence arsenic methylation efficiency, affecting arsenic metabolism. Whether gene-environment interactions affect arsenic metabolism during pregnancy remains unclear, which may have implications ...
Shangzhi Gao +9 more
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Background Congenital heart disease (CHD) is a leading cause of neonatal morbidity and mortality, with a complex aetiology involving genetic and environmental factors. Cardiac transcription factors, such as NKX2.5, GATA4 and TBX5, are essential for heart
Jianhui Wei +7 more
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Random regression models for detection of gene by environment interaction
Two random regression models, where the effect of a putative QTL was regressed on an environmental gradient, are described. The first model estimates the correlation between intercept and slope of the random regression, while the other model restricts ...
Meuwissen Theo HE +2 more
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Background The management in primary care (PC) of the patients with Heart Failure (HF) is different from the management hospital, in a special way compared to cardiology departments.
Sergio Cinza-Sanjurjo +9 more
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