ArticlePLoS genetics2021
A more accurate method for colocalisation analysis allowing for multiple causal variants.
Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 386 papers, 15 of them syntheses that pooled it.
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Who cites it
386 citing papers in PubMed, 15 syntheses or guidelines pooled it.
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- Genome-wide meta-analysis identifies genetic risk loci for mono- and polyneuropathies in 983 477 individuals.Human molecular genetics · 2026Pooled it
- Epigenome-wide association study of circulating interleukin-6 connects DNA methylation to immunometabolic and inflammatory health.Communications biology · 2026Pooled it
- Brain transcriptome-wide association studies in diverse ancestral populations reveal genes implicated in an anxiety-related phenotype.G3 (Bethesda, Md.) · 2026Pooled it
- Genetic determinants of zinc homeostasis and its role in cardiometabolic diseases.PLoS genetics · 2025Pooled it
- Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits.American journal of human genetics · 2025Pooled it
- Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.Nature communications · 2025Pooled it
- Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry.Nature human behaviour · 2025Pooled it
- Genetic Architecture of Idiopathic Inflammatory Myopathies From Meta-Analyses.Arthritis & rheumatology (Hoboken, N.J.) · 2025Pooled it
- Cross-Phenotype Genome-Wide Association Study on the Shared Genetic Susceptibility to Systemic Sclerosis and Primary Biliary Cholangitis.Arthritis & rheumatology (Hoboken, N.J.) · 2025Pooled it
- Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.Nature communications · 2025Pooled it
- Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites.Cell genomics · 2025Pooled it
- Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.Nature genetics · 2025Pooled it
- Immune Cell-Stratified Regulatory Contexts Associated With BMI-Related Multi-System Disease Risk: A Cell-Stratified Mendelian Randomization Study Using Single-Cell eQTL Data.Diabetes, obesity & metabolism · 2026Article
- Functional characterization of the 9q34.13 locus identifies RAPGEF1 as a candidate gene modulating risk for melanoma and nevi via RAS activation.American journal of human genetics · 2026Article
- Article
- Single-cell profiling and genetic regulation of alternative polyadenylation in the human brain.Nature genetics · 2026Article
- Proteome-wide genetic analyses identify ASGR1 as a potential biomarker linking smoking with ischemic heart disease.Nature cardiovascular research · 2026Article
326 more citing papers are in PubMed but not listed here.
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Abstract
In genome-wide association studies (GWAS) it is now common to search for, and find, multiple causal variants located in close proximity. It has also become standard to ask whether different traits share the same causal variants, but one of the popular methods to answer this question, coloc, makes the simplifying assumption that only a single causal variant exists for any given trait in any genomic region. Here, we examine the potential of the recently proposed Sum of Single Effects (SuSiE) regression framework, which can be used for fine-mapping genetic signals, for use with coloc. SuSiE is a novel approach that allows evidence for association at multiple causal variants to be evaluated simultaneously, whilst separating the statistical support for each variant conditional on the causal signal being considered. We show this results in more accurate coloc inference than other proposals to adapt coloc for multiple causal variants based on conditioning. We therefore recommend that coloc be used in combination with SuSiE to optimise accuracy of colocalisation analyses when multiple causal variants exist.
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