Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content.
Fatty liver index
Genome-wide association study
Hepatic fat content
MAFLD
Magnetic resonance imaging proton density fat fraction
Journal
Genomics, proteomics & bioinformatics
ISSN: 2210-3244
Titre abrégé: Genomics Proteomics Bioinformatics
Pays: England
ID NLM: 101197608
Informations de publication
Date de publication:
03 Jul 2024
03 Jul 2024
Historique:
received:
02
11
2022
revised:
12
11
2023
accepted:
08
01
2024
medline:
15
8
2024
pubmed:
15
8
2024
entrez:
14
8
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 39142818
pii: 7649324
doi: 10.1093/gpbjnl/qzae031
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Raul Aguirre-Gamboa
(R)
Patrick Deelen
(P)
Lude Franke
(L)
Jan A Kuivenhoven
(JA)
Esteban A Lopera-Maya
(EA)
Ilja M Nolte
(IM)
Serena Sanna
(S)
Harold Snieder
(H)
Morris A Swertz
(MA)
Peter M Visscher
(PM)
Judith M Vonk
(JM)
Cisca Wijmenga
(C)
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press and Science Press on behalf of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China.