| Title: | Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content |
| Journal: | Genomics Proteomics & Bioinformatics |
| Published: | 17 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39142818/ |
| DOI: | https://doi.org/10.1093/gpbjnl/qzae031 |
Publication 12926
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Abstract
Genetic susceptibility to metabolic associated fatty liver disease (MAFLD) is complex and poorly characterized. Accurate characterization of the genetic background of hepatic fat content would provide insights into disease etiology and causality of risk factors. We performed genome-wide association study (GWAS) on two noninvasive definitions of hepatic fat content: magnetic resonance imaging proton density fat fraction (MRI-PDFF) in 16,050 participants and fatty liver index (FLI) in 388,701 participants from the United Kingdom (UK) Biobank (UKBB). Heritability, genetic overlap, and similarity between hepatic fat content phenotypes were analyzed, and replicated in 10,398 participants from the University Medical Center Groningen (UMCG) Genetics Lifelines Initiative (UGLI). Meta-analysis of GWASs of MRI-PDFF in UKBB revealed five statistically significant loci, including two novel genomic loci harboring CREB3L1 (rs72910057-T, P = 5.40E-09) and GCM1 (rs1491489378-T, P = 3.16E-09), respectively, as well as three previously reported loci: PNPLA3, TM6SF2, and APOE. GWAS of FLI in UKBB identified 196 genome-wide significant loci, of which 49 were replicated in UGLI, with top signals in ZPR1 (P = 3.35E-13) and FTO (P = 2.11E-09). Statistically significant genetic correlation (rg) between MRI-PDFF (UKBB) and FLI (UGLI) GWAS results was found (rg = 0.5276, P = 1.45E-03). Novel MRI-PDFF genetic signals (CREB3L1 and GCM1) were replicated in the FLI GWAS. We identified two novel genes for MRI-PDFF and 49 replicable loci for FLI. Despite a difference in hepatic fat content assessment between MRI-PDFF and FLI, a substantial similar genetic architecture was found. FLI is identified as an easy and reliable approach to study hepatic fat content at the population level.</p>
14 Keywords
- Adult
- Aged
- Fatty Liver
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Liver
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Non-alcoholic Fatty Liver Disease
- Polymorphism, Single Nucleotide
- Risk Factors
27 Authors
- Yanni Li
- Eline H van den Berg
- Alexander Kurilshikov
- Dasha V Zhernakova
- Ranko Gacesa
- Shixian Hu
- Esteban A Lopera-Maya
- Alexandra Zhernakova
- Raul Aguirre-Gamboa
- Patrick Deelen
- Lude Franke
- Jan A Kuivenhoven
- Esteban A Lopera-Maya
- Ilja M Nolte
- Serena Sanna
- Harold Snieder
- Morris A Swertz
- Peter M Visscher
- Judith M Vonk
- Cisca Wijmenga
- Vincent E de Meijer
- Serena Sanna
- Robin P F Dullaart
- Hans Blokzijl
- Eleonora A M Festen
- Jingyuan Fu
- Rinse K Weersma
1 Application
| Application ID | Title |
|---|---|
| 52728 | Identification of genetic risk variants of non-alcoholic fatty liver disease. |
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