ReviewGenome medicine2015
Expression quantitative trait locus analysis for translational medicine.
Review in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Genomic Response to Vitamin D Supplementation in the Setting of a Randomized, Placebo-Controlled Trial.EBioMedicine · 2018Trial
- Whole blood expression profiling from the TREAT trial: insights for the pathogenesis of polyarticular juvenile idiopathic arthritis.Arthritis research & therapy · 2016Trial
- Mapping the Neurovascular Unit Genetic Architecture of Early-Onset Ischemic Stroke: A Single-Cell Causal Framework for Target Discovery and Therapeutic Translation.Cellular and molecular neurobiology · 2026Article
- Full-length transcriptome atlas of porcine skeletal muscle reveals isoform-resolved genetic regulatory mechanisms for muscle growth.BMC genomics · 2026Article
- Functional Variant Discovery Identifies a Novel Genetic Link between SPRY2, Wood Smoke, and Asthma.American journal of respiratory cell and molecular biology · 2026Article
- Decoding the dark genome reveals its organisation into modular disease networks.Scientific reports · 2026Article
- Host genotypes interact with microbial communities to modulate gene expression in the human intestine.medRxiv : the preprint server for health sciences · 2026Article
- Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals.Journal of biochemistry · 2024Article
- Transcriptional risk scores in Alzheimer's disease: From pathology to cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Comparing variants related to chronic diseases from genome-wide association study (GWAS) and the cancer genome atlas (TCGA).BMC medical genomics · 2023Article
- Leveraging Single-Cell Populations to Uncover the Genetic Basis of Complex Traits.Annual review of genetics · 2023Review
- Esearch3D: propagating gene expression in chromatin networks to illuminate active enhancers.Nucleic acids research · 2023Article
- Identification of Candidate mRNA Isoforms for Prostate Cancer-Risk SNPs Utilizing Iso-eQTL and sQTL Methods.International journal of molecular sciences · 2022Article
- Plasma Protein Levels Analysis in Multiple Sclerosis Sardinian Families Identified C9 and CYP24A1 as Candidate Biomarkers.Life (Basel, Switzerland) · 2022Article
- Identifying cancer tissue-of-origin by a novel machine learning method based on expression quantitative trait loci.Frontiers in oncology · 2022Article
- Stratification of risk of progression to colectomy in ulcerative colitis via measured and predicted gene expression.American journal of human genetics · 2021Article
- Learning gene networks underlying clinical phenotypes using SNP perturbation.PLoS computational biology · 2020Article
- Gene expression networks in theGenome research · 2020Article
- Review
- cis-regulatory variation modulates susceptibility to enteric infection in the Drosophila genetic reference panel.Genome biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Expression quantitative trait locus analysis has emerged as an important component of efforts to understand how genetic polymorphisms influence disease risk and is poised to make contributions to translational medicine. Here we review how expression quantitative trait locus analysis is aiding the identification of which gene(s) within regions of association are causal for a disease or phenotypic trait; the narrowing down of the cell types or regulators involved in the etiology of disease; the characterization of drivers and modifiers of cancer; and our understanding of how different environments and cellular contexts can modify gene expression. We also introduce the concept of transcriptional risk scores as a means of refining estimates of individual liability to disease based on targeted profiling of the transcripts that are regulated by polymorphisms jointly associated with disease and gene expression.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.