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A polygenic risk score for alcohol-related cirrhosis among heavy drinkers with European ancestry

Schwantes-An, Tae-Hwi; Whitfield, John; Aithal, Guruprasad; Atkinson, Stephen; Bataller, Ramon; Botwin, Gregory; Chalasani, Naga; Cordell, Heather; Daly, Ann; Darlay, Rebecca; Day, Chris; Eyer, Florian; Foroud, Tatiana; Gawrieh, Samer; Gleeson, Dermot; Goldma, David; Haber, Paul; Jacquet, Jean-Marc; Lammert, Craig; Liang, Tiebing; Liangpunsakul, Suthat; Masson, Steven; Mathurin, Philippe; Moirand, Romain; McQuillin, Andrew; Moreno, Christophe; Morgan, Marsha; Mueller, Sebastian; Mullhaupt, Beat; Nagy, Laura; Nahon, Pierre; Nalpas, Bertrand; Naveau, Sylvie; Perney, Pascal; Pirmohamed, Munir; Seitz, Helmut; Soyka, Michael; Stickel, Felix; Thompson, Andrew; Thursz, Mark; Trepo, Eric; Morgan, Timothy; Seth, Devanshi; GenomALC Consortium, GenomALC Consortium

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Authors

Tae-Hwi Schwantes-An

John Whitfield

Stephen Atkinson

Ramon Bataller

Gregory Botwin

Naga Chalasani

Heather Cordell

Ann Daly

Rebecca Darlay

Chris Day

Florian Eyer

Tatiana Foroud

Samer Gawrieh

Dermot Gleeson

David Goldma

Paul Haber

Jean-Marc Jacquet

Craig Lammert

Tiebing Liang

Suthat Liangpunsakul

Steven Masson

Philippe Mathurin

Romain Moirand

Andrew McQuillin

Christophe Moreno

Marsha Morgan

Sebastian Mueller

Beat Mullhaupt

Laura Nagy

Pierre Nahon

Bertrand Nalpas

Sylvie Naveau

Pascal Perney

Munir Pirmohamed

Helmut Seitz

Michael Soyka

Felix Stickel

Andrew Thompson

Mark Thursz

Eric Trepo

Timothy Morgan

Devanshi Seth

GenomALC Consortium GenomALC Consortium



Abstract

Background & Aims: Polygenic Risk Scores (PRS) based on results from genome-wide association studies offer the prospect of risk stratification for many common and complex diseases. We developed a PRS for alcohol-related cirrhosis by comparing SNPs among patients with alcohol-related cirrhosis (ALC) vs. drinkers who did not have evidence of liver fibrosis/cirrhosis.
Approach & Results: Using a data driven approach, a PRS for ALC was generated using a meta-GWAS of ALC (N=4,305) and an independent cohort of heavy drinkers with ALC and without significant liver disease (N=3,037). It was validated in two additional independent cohorts from the UK Biobank with diagnosed ALC (N=467) and high-risk-drinking controls (N=8,981) and participants in the Indiana Biobank Liver cohort with alcohol-related liver disease (N=121) and controls without liver disease (N=3,239). A 20-SNPs PRS for ALC (PRSALC) was generated that stratified risk for ALC comparing the top and bottom deciles of PRS in the two
validation cohorts (odds ratios 2.83 [95% CI 1.82-4.39] in UK Biobank; 4.40 [1.56-12.44] in Indiana Biobank Liver cohort). Furthermore, PRSALC improved the prediction of ALC risk when added to the models of clinically known predictors of ALC risk. It also stratified risk for MASLD-cirrhosis (3.94 [2.23-6.95]) in the Indiana Biobank Liver cohort based exploratory analysis.
Conclusions: PRSALC incorporates 20 SNPs and predicts increased risk for ALC and improves risk stratification for ALC compared to the models that only include clinical risk factors. This new score has potential for early detection of heavy-drinking patients who are at high risk for ALC.

Citation

Schwantes-An, T.-H., Whitfield, J., Aithal, G., Atkinson, S., Bataller, R., Botwin, G., …GenomALC Consortium, G. C. (2024). A polygenic risk score for alcohol-related cirrhosis among heavy drinkers with European ancestry. Hepatology Communications, 8(6), Article e0431. https://doi.org/10.1097/HC9.0000000000000431

Journal Article Type Article
Acceptance Date Nov 2, 2023
Publication Date 2024-06
Deposit Date Nov 3, 2023
Publicly Available Date Nov 6, 2023
Journal Hepatology Communications
Electronic ISSN 2471-254X
Publisher Wiley Open Access
Peer Reviewed Peer Reviewed
Volume 8
Issue 6
Article Number e0431
DOI https://doi.org/10.1097/HC9.0000000000000431
Public URL https://nottingham-repository.worktribe.com/output/26809651
Publisher URL https://journals.lww.com/hepcomm/fulltext/2024/06010/a_polygenic_risk_score_for_alcohol_associated.2.aspx
Additional Information Authors on behalf of the GenomALC Consortium.

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