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Genome‐Wide Association Study of NAFLD Using Electronic Health Records

Authors :
Cameron J. Fairfield
Thomas M. Drake
Riinu Pius
Andrew D. Bretherick
Archie Campbell
David W. Clark
Jonathan A. Fallowfield
Caroline Hayward
Neil C. Henderson
Peter K. Joshi
Nicholas L. Mills
David J. Porteous
Prakash Ramachandran
Robert K. Semple
Catherine A. Shaw
Cathie L.M. Sudlow
Paul R.H.J. Timmers
James F. Wilson
Stephen J. Wigmore
Ewen M. Harrison
Athina Spiliopoulou
Source :
Hepatology Communications, Vol 6, Iss 2, Pp 297-308 (2022)
Publication Year :
2022
Publisher :
Wolters Kluwer Health/LWW, 2022.

Abstract

Genome‐wide association studies (GWAS) have identified several risk loci for nonalcoholic fatty liver disease (NAFLD). Previous studies have largely relied on small sample sizes and have assessed quantitative traits. We performed a case‐control GWAS in the UK Biobank using recorded diagnosis of NAFLD based on diagnostic codes recommended in recent consensus guidelines. We performed a GWAS of 4,761 cases of NAFLD and 373,227 healthy controls without evidence of NAFLD. Sensitivity analyses were performed excluding other co‐existing hepatic pathology, adjusting for body mass index (BMI) and adjusting for alcohol intake. A total of 9,723,654 variants were assessed by logistic regression adjusted for age, sex, genetic principal components, and genotyping batch. We performed a GWAS meta‐analysis using available summary association statistics. Six risk loci were identified (P

Details

Language :
English
ISSN :
2471254X
Volume :
6
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Hepatology Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6838532b13294c6fa646e1703e80f182
Document Type :
article
Full Text :
https://doi.org/10.1002/hep4.1805