Evidence mapPaperPMID 42123708Full record

ArticleInternational journal of molecular sciences2026

A Post-GWAS Analysis of the Shared Genetic Architecture Between COVID-19 and Coronary Artery Disease.

Muhammad Sarfraz Ali, Waseem Haider, Sana Aziz, Anwaruddin Mohammad, Ani Manichaikul, Weibin Shi

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Muhammad Sarfraz AliDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-5656-1323
Waseem HaiderDepartment of Biosciences, COMSATS University, Islamabad 45550, Pakistan.ORCID 0000-0001-9200-6714
Sana AzizDepartment of Zoology, Faisalabad Campus, University of Education, Lahore 38000, Pakistan.ORCID 0000-0001-5074-8525
Anwaruddin MohammadBioinformatics Core, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.ORCID 0009-0000-3783-1906
Ani ManichaikulDepartment of Genome Sciences, University of Virginia, Charlottesville, VA 22903, USA.
Weibin ShiDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-9155-613X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An individual's host genetics influence its susceptibility to both COVID-19 and coronary artery disease (CAD). We analyzed large-scale GWAS datasets encompassing 7.7 million SNPs to identify shared genetic architecture between the two diseases. We identified 24 pleiotropic risk loci for both COVID-19 and CAD, with three loci (1p31.1, 8p21.3, and 18q11.2) showing strong evidence for a single shared causal variant. Loci in the 8p21.3 and 18q11.2 regions showed a bidirectional causal association: COVID-19 to CAD or vice versa, while the 1p31.1 locus only showed a CAD to COVID-19 unilateral casual association in a Mendelian randomization analysis (GSMR). A fine mapping analysis of the three loci identified three lead pleiotropic variants (rs7515509, rs8192330, and rs4800403). The variant rs7515509 was spatially associated with

Indexed as

Coronary Artery DiseaseCOVID-19Genetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideSARS-CoV-2coronary artery diseaseCOVID-19DMTNGSMRGWASMendelian randomizationPIWIL2pleiotropypost-GWASproxitropy

Identifiers

PMID42123708
PMCPMC13163323

What Socratic holds

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Registered trials

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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 Socratic graph.