ArticleHuman molecular genetics2019
Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution.
Article in Human molecular genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits.American journal of human genetics · 2025Pooled it
- Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits.Nature genetics · 2025Pooled it
- The TRAP complex (SSR1-SSR4): mechanistic roles and therapeutic opportunities.Annals of medicine · 2026Review
- Body-weight variation as a potential indirect indicator of abdominal fat weight with relevance to laying rate in 90-week-old laying hens.Poultry science · 2026Article
- Detection of quantitative trait loci and genetic correlations of lipid reserves and production traits in aging laying hens.Poultry science · 2026Article
- From GWAS Signals to Molecular Mechanisms: Explainable AI for Causal Gene Prioritization and Biomolecular Target Interpretation.Biomolecules · 2026Review
- Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Genetic epidemiology · 2026Review
- Expanded chromatin accessibility mapping explains genetic variation associated with complex traits in liver.American journal of human genetics · 2026Article
- Age-specific childhood obesity and adult cholelithiasis: association and shared transcriptomic bases.International journal of obesity (2005) · 2025Article
- Expanded Chromatin Accessibility Mapping Explains Genetic Variation Associated with Complex Traits in Liver.medRxiv : the preprint server for health sciences · 2025Article
- Causal role of immunophenotypes in HIV-1 acquisition: insights from Mendelian randomization analysis.Scientific reports · 2025Article
- Variant-to-function approaches for adipose tissue: Insights into cardiometabolic disorders.Cell genomics · 2025Review
- Investigating the Causal Relationship and Shared Genetic Basis Between Major Depression Disorder and Eight Types of Gastrointestinal Diseases.Genetics research · 2025Article
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- The Causal Relationship Between Choline Metabolites and Acute Acalculous Cholecystitis: IdentifyingNutrients · 2024Article
- Article
- Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.Life science alliance · 2024Article
- Mendelian randomization reveals apolipoprotein B shortens healthspan and possibly increases risk for Alzheimer's disease.Communications biology · 2024Article
- Molecular quantitative trait loci in reproductive tissues impact male fertility in cattle.Nature communications · 2024Article
- Investigating causality and shared genetic architecture between body mass index and cognitive function: a genome-wide cross-trait analysis and bi-directional Mendelian randomization study.Frontiers in aging neuroscience · 2024Article
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21 authors.
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Abstract
Integration of genome-wide association study (GWAS) signals with expression quantitative trait loci (eQTL) studies enables identification of candidate genes. However, evaluating whether nearby signals may share causal variants, termed colocalization, is affected by the presence of allelic heterogeneity, different variants at the same locus impacting the same phenotype. We previously identified eQTL in subcutaneous adipose tissue from 770 participants in the Metabolic Syndrome in Men (METSIM) study and detected 15 eQTL signals that colocalized with GWAS signals for waist-hip ratio adjusted for body mass index (WHRadjBMI) from the Genetic Investigation of Anthropometric Traits consortium. Here, we reevaluated evidence of colocalization using two approaches, conditional analysis and the Bayesian test COLOC, and show that providing COLOC with approximate conditional summary statistics at multi-signal GWAS loci can reconcile disagreements in colocalization classification between the two tests. Next, we performed conditional analysis on the METSIM subcutaneous adipose tissue data to identify conditionally distinct or secondary eQTL signals. We used the two approaches to test for colocalization with WHRadjBMI GWAS signals and evaluated the differences in colocalization classification between the two tests. Through these analyses, we identified four GWAS signals colocalized with secondary eQTL signals for FAM13A, SSR3, GRB14 and FMO1. Thus, at loci with multiple eQTL and/or GWAS signals, analyzing each signal independently enabled additional candidate genes to be identified.
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