ArticleFrontiers in genetics2012
Exploiting gene expression variation to capture gene-environment interactions for disease.
Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- Discovering in vivo cytokine-eQTL interactions from a lupus clinical trial.Genome biology · 2018Trial
- Single-cell transcriptomics reveals inter-ethnic variation in immune response to Falciparum malaria.American journal of human genetics · 2025Article
- Novel Functional Genomics Approaches Bridging Neuroscience and Psychiatry.Biological psychiatry global open science · 2023Review
- eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction.BMC genomics · 2022Article
- Recombination affects allele-specific expression of deleterious variants in human populations.Science advances · 2022Article
- The Genetic Control of the Rheumatic Heart: Closing the Genotype-Phenotype Gap.Frontiers in medicine · 2021Review
- Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.Genetic epidemiology · 2020Article
- Integrative genomic analysis reveals mechanisms of immune evasion in P. falciparum malaria.Nature communications · 2020Article
- From human genome epidemiology to systems epidemiology: current progress and future perspective.Journal of biomedical research · 2020Article
- Cutting-edge genetics in obsessive-compulsive disorder.Faculty reviews · 2020Review
- Gene-by-environment interactions in urban populations modulate risk phenotypes.Nature communications · 2018Article
- Impact of the X Chromosome and sex on regulatory variation.Genome research · 2016Article
- Transcriptome sequencing reveals the roles of transcription factors in modulating genotype by nitrogen interaction in maize.Plant cell reports · 2015Article
- DFLAT: functional annotation for human development.BMC bioinformatics · 2014Article
- Combining genetic and nongenetic biomarkers to realize the promise of pharmacogenomics for inflammatory diseases.Pharmacogenomics · 2014Review
- Genomic architecture of sickle cell disease in West African children.Frontiers in genetics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene-environment interactions have long been recognized as a fundamental concept in evolutionary, quantitative, and medical genetics. In the genomics era, study of how environment and genome interact to shape gene expression variation is relevant to understanding the genetic architecture of complex phenotypes. While genetic analysis of gene expression variation focused on main effects, little is known about the extent of interaction effects implicating regulatory variants and their consequences on transcriptional variation. Here we survey the current state of the concept of transcriptional gene-environment interactions and discuss its utility for mapping disease phenotypes in light of the insights gained from genome-wide association studies of gene expression.
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Registered trials
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