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Potential causal links between genetic variants in SAMM50, SUGP1, MAU2, and GATAD2A and liver fat in individuals with normal weight

Piras, I. S.; Don, J.; Schork, N.; DiStefano, J.

2024-11-05 genetic and genomic medicine
10.1101/2024.11.05.24316758 medRxiv
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Background & AimsMetabolic-associated steatotic liver disease (MASLD) affects individuals across a range of body weights, but little is known about the genetic determinants of this condition in individuals with normal BMI. This study aimed to identify genetic variants contributing to hepatic fat levels in normal-weight individuals. MethodsWe conducted a genome-wide association study (GWAS) using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) data from 10,918 normal-weight participants (BMI < 25 kg/m{superscript 2}) of European ancestry from the UK Biobank. We employed a case-control (CC) design to assess hepatic steatosis and a quantitative trait (QT) design for liver fat content. Fine mapping was conducted to identify potential causal variants, while Multi-marker Analysis of GenoMic Annotation (MAGMA) and transcriptome-wide association studies (TWAS) were performed to assess gene-level associations and impute liver-specific gene expression. ResultsWe identified 241 (CC-GWAS) and 418 (QT-GWAS) significant variants located predominantly in genes on chromosomes 19 and 22, including PNPLA3, TM6SF2, and SAMM50. Fine mapping revealed three potential causal variants in SUGP1, GATAD2A, and MAU2. MAGMA analysis identified eight genes in CC-GWAS and 19 in QT-GWAS, including the novel association with RFXANK. TWAS detected MBOAT7 and SAMM50, with SAMM50 being further implicated as a potential causal gene through TWAS fine mapping. ConclusionsThis study, only the second to identify associations at the genome-wide level, represents a significant step forward in understanding the genetic basis of hepatic steatosis in normal-weight individuals, identifying both novel and established genetic variants. These findings provide insights into the pathophysiology of MASLD in this understudied population, emphasizing the importance of genetic predisposition beyond obesity-related mechanisms, and provide potential targets for personalized treatment and prevention strategies. Impact and implicationsThis study provides relevant insights into the genetic risk factors of MASLD in normal-weight individuals, a population often overlooked in liver disease research. By identifying both novel and established genetic variants, this work highlights the genetic predisposition to hepatic steatosis independent of obesity-related factors. The findings offer potential targets for early detection and therapeutic intervention in normal-weight individuals, which could be applied by physicians, patients, and policymakers to inform precision medicine approaches and preventive strategies. The study provides valuable insights based on a population of European ancestry, and future research can build upon these findings to explore their applicability to patients from diverse ethnic groups.

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