Genetics of Metabolic Dysfunction-associated Steatotic Liver Disease: The State of the Art Update

Clin Gastroenterol Hepatol. 2024 Nov;22(11):2177-2187.e3. doi: 10.1016/j.cgh.2024.05.052. Epub 2024 Jul 31.

Abstract

Recent advances in the genetics of metabolic dysfunction-associated steatotic liver disease (MASLD) are gradually revealing the mechanisms underlying the heterogeneity of the disease and have shown promising results in patient stratification. Genetic characterization of the disease has been rapidly developed using genome-wide association studies, exome-wide association studies, phenome-wide association studies, and whole exome sequencing. These advances have been powered by the increase in computational power, the development of new analytical algorithms, including some based on artificial intelligence, and the recruitment of large and well-phenotyped cohorts. This review presents an update on genetic studies that emphasize new biological insights from next-generation sequencing approaches. Additionally, we discuss innovative methods for discovering new genetic loci for MASLD, including rare variants. To comprehensively manage MASLD, it is important to stratify risks. Therefore, we present an update on phenome-wide association study associations, including extreme phenotypes. Additionally, we discuss whether polygenic risk scores and targeted sequencing are ready for clinical use. With particular focus on precision medicine, we introduce concepts such as the interplay between genetics and the environment in modulating genetic risk with lifestyle or standard therapies. A special chapter is dedicated to gene-based therapeutics. The limitations of approved pharmacological approaches are discussed, and the potential of gene-related mechanisms in therapeutic development is reviewed, including the decision to perform genetic testing in patients with MASLD.

Keywords: GWAS; Genetics; HSD17B13; MASLD; NAFLD; PNPLA3; TM6SF2.

Publication types

  • Review

MeSH terms

  • Fatty Liver / genetics
  • Genetic Predisposition to Disease*
  • Genome-Wide Association Study
  • High-Throughput Nucleotide Sequencing
  • Humans