Genetic predictors and pathophysiological features of non-alcoholic fat liver disease

Abstract

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of liver disease in highly developed countries. The risk of developing NAFLD and associated complications varies greatly among people of different nationalities and is determined by environmental and genetic factors. Genome-wide studies have revealed strong and reproducible associations between gene variations such as PNPLA3, TM6SF2, MBOAT7, GCKR, HSD17B1, and NAFLD. In this article, we consider the influence of genes and environmental factors on the pathophysiological features of NAFLD. The use of a sufficient population sample with the analysis of SNP arrays and the use of sequencing methods (exome and genome as a whole) will lead to the discovery of additional genetic variants, will inevitably improve the understanding of the pathogenesis of NAFLD, and will allow the development of a technology for personalized risk in assessing the disease in a patient. The aim of our study was to study the genetic predictors of NAFLD based on literature data with the interpretation of the studies. There is now strong evidence that specific variants of genetic risk have a large effect on NAFLD, and their effect is comparable to that of major metabolic risk factors such as obesity and type 2 diabetes. The increased risk extends to the onset and progression of the entire spectrum of NAFLD manifestations, including overall mortality due to liver disease. Currently, individual genetic variants do not allow the creation of a personalized risk profile; therefore, the most expedient approach today is the development of polygenic risk assessments. The number of genetic loci associated with the prevalence and outcome of NAFLD remains limited. The use of a sufficient population sample with the analysis of SNP arrays and the use of sequencing methods (exome and genome as a whole) will lead to the discovery of additional genetic variants and will inevitably improve the understanding of the pathogenesis of NAFLD and will allow the development of a technology for personalized risk in the assessment of the disease.

Keywords

• non-alcoholic fatty liver disease
• steatohepatitis
• hepatocellular carcinoma
• snp (single nucleotide polymorphism)
• risk stratification