Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2022 Feb;6(2):297-308.
doi: 10.1002/hep4.1805. Epub 2021 Sep 17.

Genome-Wide Association Study of NAFLD Using Electronic Health Records

Affiliations
Meta-Analysis

Genome-Wide Association Study of NAFLD Using Electronic Health Records

Cameron J Fairfield et al. Hepatol Commun. 2022 Feb.

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 < 5*10-8 ) (apolipoprotein E [APOE], patatin-like phospholipase domain containing 3 [PNPLA3, transmembrane 6 superfamily member 2 [TM6SF2], glucokinase regulator [GCKR], mitochondrial amidoxime reducing component 1 [MARC1], and tribbles pseudokinase 1 [TRIB1]). All loci retained significance in sensitivity analyses without co-existent hepatic pathology and after adjustment for BMI. PNPLA3 and TM6SF2 remained significant after adjustment for alcohol (alcohol intake was known in only 158,388 individuals), with others demonstrating consistent direction and magnitude of effect. All six loci were significant on meta-analysis. Rs429358 (P = 2.17*10-11 ) is a missense variant within the APOE gene determining ϵ4 versus ϵ2/ϵ3 alleles. The ϵ4 allele of APOE offered protection against NAFLD (odds ratio for heterozygotes 0.84 [95% confidence interval 0.78-0.90] and homozygotes 0.64 [0.50-0.79]). Conclusion: This GWAS replicates six known NAFLD-susceptibility loci and confirms that the ϵ4 allele of APOE is associated with protection against NAFLD. The results are consistent with published GWAS using histological and radiological measures of NAFLD, confirming that NAFLD identified through diagnostic codes from consensus guidelines is a valid alternative to more invasive and costly approaches.

PubMed Disclaimer

Figures

FIG. 1
FIG. 1
Flowchart describing participant recruitment in UKB and GS‐SFHS.
FIG. 2
FIG. 2
Manhattan plot for the association with NAFLD (4,761 cases and 373,227 controls). Each variant is plotted based on chromosome and position on the x‐axis and ‐log10 P values on the y‐axis. The horizontal dotted line represents genome‐wide significance (P = 5*10−8).
FIG. 3
FIG. 3
OR plot demonstrating odds of NAFLD by APOE genotype. Each APOE genotype is compared with the ε3 homozygotes reference group (model adjusted for age, sex, genotyping batch, and the first 20 genetic principal components).
FIG. 4
FIG. 4
Impact of each NAFLD‐susceptibility allele on the measured serum cholesterol fractions. Each point represents the beta‐coefficient from an age‐adjusted and sex‐adjusted linear regression, and the error bar represents the 95% CI. Triglycerides were log‐transformed before the analysis. Abbreviations: Chol, total cholesterol; trigs, triglycerides.

References

    1. Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 2018;15:11‐20. - PubMed
    1. Dufour J‐F, Caussy C, Loomba R. Combination therapy for non‐alcoholic steatohepatitis: rationale, opportunities and challenges. Gut 2020;69:1877‐1884. - PMC - PubMed
    1. Sookoian S, Pirola CJ. Genetic predisposition in nonalcoholic fatty liver disease. Clin Mol Hepatol 2017;23:1‐12. - PMC - PubMed
    1. Romeo S, Kozlitina J, Xing C, Pertsemlidis A, Cox D, Pennacchio LA, et al. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat Genet 2008;40:1461‐1465. - PMC - PubMed
    1. Chalasani N, Guo X, Loomba R, Goodarzi MO, Haritunians T, Kwon S, et al. Genome‐wide association study identifies variants associated with histologic features of nonalcoholic fatty liver disease. Gastroenterology 2010;139:1567‐1576.e6. - PMC - PubMed

Publication types

MeSH terms