SAMM50-rs2073082, -rs738491 and -rs3761472 Interactions Enhancement of Susceptibility to Non-Alcoholic Fatty Liver Disease

Author:

Zhao Jinhan12,Xu Xiaoyi12,Wei Xinhuan1,Zhang Shuang13,Xu Hangfei12,Wei Xiaodie1,Zhang Yang2ORCID,Zhang Jing1

Affiliation:

1. The Third Unit, The Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China

2. Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China

3. Menkuang Hospital, Beijing Jingmei Group General Hospital, Beijing Energy Holding Company Limited, Beijing 102399, China

Abstract

Background and aim: Several studies have identified that three SAMM50 polymorphisms (rs2073082, rs738491, rs3761472) are associated with an increased risk of non-alcoholic fatty liver disease (NAFLD). However, the clinical significance of the SAMM50 SNP in relation to NAFLD remains largely unknown. Therefore, we conducted a clinical study and SNP–SNP interaction analysis to further elucidate the effect of the SAMM50 SNP on the progression of NAFLD in the elderly. Methods: A total of 1053 patients over the age of 65 years were recruited. Liver fat and fibrosis were detected by abdominal ultrasound or FibroScan, respectively. Genomic DNA was extracted and then genotyped by Fluidigm 96.96 Dynamic Array. Multivariable logistic regression was used to evaluate the association between NAFLD and SNP. SNP–SNP interactions were analyzed using generalized multivariate dimensionality reduction (GMDR). Results: The risk of NAFLD was substantially higher in people who carried SAMM50-rs2073082 G and -rs738491 T alleles (OR, 1.962; 95% CI, 1.448–2.659; p < 0.001; OR, 1.532; 95% CI, 1.246–1.884; p = 0.021, respectively) compared to noncarriers. Carriers of the rs738491 T and rs3761472 G alleles in the cohort showed a significant increase in liver stiffness measurements (LSM). The combination of the three SNPs showed the highest predictive power for NAFLD. The rs2073082 G allele, rs738491 T allele and rs3761472 G carriers had a two-fold higher risk of NAFLD compared to noncarriers. Conclusions: Our research has demonstrated a strong correlation between the genetic polymorphism of SAMM50 and NAFLD in the elderly, which will contribute to a better understanding of the impact of age and genetics on this condition. Additionally, this study provides a potential predictive model for the early clinical warning of NAFLD.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Beijing Municipal Institute of Public Medical Research Development and Reform Pilot Project

Scientific Research Project of Beijing Youan Hospital, CCMU, 2022

Jiangxi National Science Foundation

Capitals’s Funds for Health Improvement and Research

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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