Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy
Environment International, 2019 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
doaj +1 more source
A new clinical evidence-based gene-environment interaction model of depression. [PDF]
, 2016 In our current understanding of mood disorders, the role of genes is diverse including the mediation of the effects of provoking and protective factors.
Bagdy, György +2 more
core
Genetic Influences on Peer and Family Relationships across Adolescent Development: Introduction to the Special Issue [PDF]
, 2015 Nearly all aspects of human development are influenced by genetic and environmental factors, which conjointly shape development through several gene-environment interplay mechanisms.
DiLalla, Lisabeth Fisher +1 more
core +2 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Robustness of meta-analyses in finding gene × environment interactions. [PDF]
PLoS ONE, 2017 Meta-analyses that synthesize statistical evidence across studies have become important analytical tools for genetic studies. Inspired by the success of genome-wide association studies of the genetic main effect, researchers are searching for gene ...
Gang Shi, Arye Nehorai
doaj +1 more source
Emergent adaptive behaviour of GRN-controlled simulated robots in a changing environment [PDF]
, 2016 We developed a bio-inspired robot controller combining an artificial genome with an agent-based control system. The genome encodes a gene regulatory network (GRN) that is switched on by environmental cues and, following the rules of transcriptional ...
Marchal, Kathleen +3 more
core +4 more sources
Gene-environment interactions in cardiovascular disease [PDF]
European Journal of Cardiovascular Nursing, 2011 Historically, models to describe disease were exclusively nature-based or nurture-based. Current theoretical models for complex conditions such as cardiovascular disease acknowledge the importance of both biologic and non-biologic contributors to disease.
Bradley E. Aouizerat +2 more
openaire +3 more sources
ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
FEBS Letters, EarlyView.In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li +3 more
wiley +1 more source
The cultural epigenetics of psychopathology: The missing heritability of complex diseases found? [PDF]
, 2009 We extend a cognitive paradigm for gene expression based on the asymptotic limit theorems of information theory to the epigenetic epidemiology of mental disorders.
Wallace, Rodrick
core +1 more source
Novel Likelihood Ratio Tests for Screening Gene‐Gene and Gene‐Environment Interactions With Unbalanced Repeated‐Measures Data [PDF]
, 2013 There has been extensive literature on modeling gene‐gene interaction (GGI) and gene‐environment interaction (GEI) in case‐control studies with limited literature on statistical methods for GGI and GEI in longitudinal cohort studies. We borrow ideas from
Ko, Yi‐an +4 more
core +1 more source