Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation.

ABSTRACT:

Background

The prevalence of Non-alcoholic fatty liver disease (NAFLD) is increasing and emerging as a global health burden. In addition to environmental factors, numerous studies have shown that genetic factors play an important role in the development of NAFLD. Copy number variation (CNV) as a genetic variation plays an important role in the evaluation of disease susceptibility and genetic differences. The aim of the present study was to assess the contribution of CNV to the evaluation of NAFLD in a Chinese population.

Methods

Genome-wide analysis of CNV was performed using high-density comparative genomic hybridisation microarrays (ACGH). To validate the CNV regions, TaqMan real-time quantitative PCR (qPCR) was utilized.

Results

A total of 441 CNVs were identified,

SUBMITTER: Li YF 

PROVIDER: S-EPMC8045212 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature