79: Cross-population GWAS and Proteomics Reveal AF Mechanisms and Better Risk Prediction

Nature Communications - A large cross-population GWAS meta-analysis (168,007 AF cases) integrated with proteomic data identifies hundreds of AF loci, implicates cardiac and TGF-β pathways, finds causal risk factors and proteins via Mendelian randomization, and shows improved prediction when combining polygenic and protein scores. Key terms: atrial fibrillation, cross-population GWAS, proteomics, polygenic risk score, Mendelian randomization.

Study Highlights:
The cross-population meta-analysis identified 525 genome-wide significant loci for atrial fibrillation and prioritized likely causal genes. Pathway analyses implicated muscle development, heart contraction, TGF-β signaling and vascular and cytoskeletal processes. Mendelian randomization highlighted modifiable risk factors (obesity, blood pressure, diabetes, smoking, insomnia, lipids, alcohol) and implicated 28 circulating proteins with potential causal roles. Combining a polygenic risk score and a proteomic score substantially improved AF risk prediction compared with either alone.

Conclusion:
Integrating diverse GWAS with proteomics refines AF genetic architecture, reveals mechanistic pathways and candidate protein targets, and materially improves risk prediction when polygenic and protein scores are combined.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation

Journal:
Nature Communications

DOI:
10.1038/s41467-025-61720-2

Reference:
https://doi.org/10.1038/s41467-025-61720-2

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

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QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-18.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited the spoken content describing cross-population AF GWAS, shared PITX2/ZFHX3 loci, Mendelian randomization of modifiable risk factors, NT-proBNP direction, proteomics (ProS) and polygenic scores (PGS), and risk-prediction improvements; included limitations and clinical implications.
- transcript topics: Cross-population GWAS meta-analysis for atrial fibrillation; Shared PITX2 and ZFHX3 loci across ancestries; Gene prioritization and AF pathways (muscle development, cardiogenesis, TGF-β signaling); Mendelian randomization of modifiable AF risk factors (BMI, insomnia, etc.); Proteomics integration and protein scoring (ProS) with polygenic scores (PGS); NT-proBNP paradox and causal direction in MR

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 4
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- Cross-population GWAS meta-analysis included 168,007 AF cases and 1,959,739 controls across multiple ancestries
- Identified 525 genome-wide significant loci; 483 Europeans, 29 East Asians, 5 Africans, 2 admixed Americans; PITX2 and ZFHX3 shared across ancestries
- Pathway enrichment implicates muscle development, cardiogenesis, TGF-β...