Association of peroxisome proliferator-activated receptor gamma coactivator 1 alpha rs8192678 single nucleotide polymorphism with the risk of nonalcoholic fatty liver disease
DOI:10.3969/j.issn.1001-5256.2020.09.025
- VernacularTitle:过氧化物酶体增殖激活物受体γ辅激活因子1α rs8192678位点单核苷酸多态性与非酒精性脂肪性肝病发病风险的关系
- Author:
Qing ZHANG
1
;
Shousheng LIU
;
Baokai SUN
;
Mei ZHANG
;
Yongning XIN
Author Information
1. Department of Infectious Diseases, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, Shandong 266011, China
- Publication Type:Research Article
- Keywords:
non-alcoholic fatty liver disease;
peroxisome proliferator-activated receptor gamma coactivator 1-alpha;
polymorphism, single nucleotide
- From:
Journal of Clinical Hepatology
2020;36(9):2035-2039
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the association of peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PPARGC1A) rs8192678 single nucleotide polymorphism (SNP) with the risk of nonalcoholic fatty liver disease (NAFLD) and the influence of PPARGC1A rs8192678 SNP on NAFLD-related biochemical parameters. MethodsA total of 119 NAFLD patients who attended Qingdao Municipal Hospital Affiliated to Qingdao University from December 2017 to December 2018 were enrolled as NAFLD group, and 213 individuals who underwent physical examination during the same period of time were enrolled as control group. Clinical data and blood samples were collected from all subjects to measure related biochemical parameters and detect PPARGC1A rs8192678 SNP. The chi-square test was used to determine whether the genotype distribution of samples was in accordance with the Hardy-Weinberg equilibrium. The t-test or the Wilcoxon rank-sum test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. A binary logistic regression analysis was used to investigate the risk factors for NAFLD. ResultsThere were no significant differences in the genotype and allele frequencies of PPARGC1A rs8192678 between the NAFLD group and the control group (χ2=0.011 and 0.015, P=0.918 and 0.904). The binary logistic regression analysis showed that CT genotype of PPARGC1A rs8192678 was not a risk factor for NAFLD (odds ratio=0.951, 95% confidence interval: 0.368-2.457, P=0.918). In the NAFLD group, the patients carrying CT genotype had a significantly higher level of gamma-glutamyl transpeptidase (GGT) than those carrying CC genotype (Z=-2.331, P=0.020). ConclusionPPARGC1A rs8192678 SNP does not increase the risk of NAFLD, while NAFLD patients carrying CT genotype tend to have a higher serum level of GGT.