Evidence map›Paper›PMID 33536417›Full record

ArticleNature communications2021

A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits.

Christopher N Foley, James R Staley, Philip G Breen, Benjamin B Sun, Paul D W Kirk, Stephen Burgess, Joanna M M Howson

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 367 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
367citing papers in PubMed, 9 pooled it
62.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

367 citing papers in PubMed, 9 syntheses or guidelines pooled it, 531 citations in OpenAlex.

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  9. Dissecting the Genetic Architecture of Intracranial Aneurysms.Circulation. Genomic and precision medicine · 2025
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307 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Christopher N FoleyMRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, CB2 0SR, UK. chris.neal.foley@gmail.com.ORCID http://orcid.org/0000-0002-0970-2610
James R StaleyCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.
Philip G BreenSchool of Mathematics, University of Edinburgh, Kings Buildings, Edinburgh, EH9 3JZ, UK.
Benjamin B SunCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.
Paul D W KirkMRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, CB2 0SR, UK.ORCID http://orcid.org/0000-0002-5931-7489
Stephen BurgessMRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, CB2 0SR, UK.ORCID http://orcid.org/0000-0001-5365-8760
Joanna M M HowsonCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.ORCID http://orcid.org/0000-0001-7618-0050
University of Cambridge · GBUniversity of Edinburgh · GB

Funding

British Heart Foundation RG/13/13/30194Department of HealthMedical Research Council MC_UU_00002/13Medical Research Council MC UU 00002/7Medical Research Council MC_UU_00002/7Medical Research Council MR/L003120/1Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified thousands of genomic regions affecting complex diseases. The next challenge is to elucidate the causal genes and mechanisms involved. One approach is to use statistical colocalization to assess shared genetic aetiology across multiple related traits (e.g. molecular traits, metabolic pathways and complex diseases) to identify causal pathways, prioritize causal variants and evaluate pleiotropy. We propose HyPrColoc (Hypothesis Prioritisation for multi-trait Colocalization), an efficient deterministic Bayesian algorithm using GWAS summary statistics that can detect colocalization across vast numbers of traits simultaneously (e.g. 100 traits can be jointly analysed in around 1 s). We perform a genome-wide multi-trait colocalization analysis of coronary heart disease (CHD) and fourteen related traits, identifying 43 regions in which CHD colocalized with ≥1 trait, including 5 previously unknown CHD loci. Across the 43 loci, we further integrate gene and protein expression quantitative trait loci to identify candidate causal genes.

Indexed as

AlgorithmsComputational BiologyCoronary DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait LociReproducibility of ResultsRisk Factors

Identifiers

PMID33536417
PMCPMC7858636
OpenAlexW3126704164

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.