Non-invasive evaluation of NAFLD and the contribution of genes: an MRI-PDFF-based cross-sectional study.

Aruhan YangXiaoxue ZhuLei ZhangYingwen ZhangDezhi ZhangMeishan JinJunqi NiuHuimao ZhangYanhua DingGuoyue Lv

Published in: Hepatology international (2022)

Based on MRI-PDFF, a combination of several specific biomarkers can accurately predict disease status. When the effects of genes on liver steatosis were first quantified by MRI-PDFF, the UQCC1 rs878639 G allele was identified as a protective factor, and the MBOAT7 T allele was identified as a risk only among nonobese individuals.

Keyphrases

contrast enhanced
magnetic resonance imaging
diffusion weighted imaging
genome wide
computed tomography
insulin resistance
magnetic resonance
high fat diet
type diabetes
adipose tissue
dna methylation
transcription factor