An epigenome-wide association study of waist circumference in Chinese monozygotic twins

Objectives Central obesity poses significant health risks because it increases susceptibility to multiple chronic diseases. Epigenetic features such as DNA methylation may be associated with specific obesity traits, which could help us understand how genetic and environmental factors interact to inf...

Full description

Saved in:
Bibliographic Details
Published in:International Journal of Obesity 2024-08, Vol.48 (8), p.1148-1156
Main Authors: Xing, Fangjie, Han, Fulei, Wu, Yan, Lv, Bosen, Tian, Huimin, Wang, Weijing, Tian, Xiaocao, Xu, Chunsheng, Duan, Haiping, Zhang, Dongfeng, Wu, Yili
Format: Article
Language:English
Subjects:
692/308/174
692/499
82/47
Adult
Annotations
China - epidemiology
CpG islands
Deoxyribonucleic acid
DNA
DNA methylation
DNA Methylation - genetics
East Asian People - genetics
Environmental factors
Epidemiology
Epigenesis, Genetic
Epigenetics
Epigenome - genetics
Female
Genome-Wide Association Study
Health Promotion and Disease Prevention
Health risks
Humans
Internal Medicine
Male
Medicine
Medicine & Public Health
Metabolic Diseases
Middle Aged
Obesity
Obesity, Abdominal - genetics
Population genetics
Population studies
Public Health
Twins
Twins, Monozygotic - genetics
Waist Circumference - genetics
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objectives Central obesity poses significant health risks because it increases susceptibility to multiple chronic diseases. Epigenetic features such as DNA methylation may be associated with specific obesity traits, which could help us understand how genetic and environmental factors interact to influence the development of obesity. This study aims to identify DNA methylation sites associated with the waist circumference (WC) in Northern Han Chinese population, and to elucidate potential causal relationships. Methods A total of 59 pairs of WC discordant monozygotic twins (ΔWC >0) were selected from the Qingdao Twin Registry in China. Generalized estimated equation model was employed to estimate the methylation levels of CpG sites on WC. Causal relationships between methylation and WC were assessed through the examination of family confounding factors using FAmiliaL CONfounding (ICE FALCON). Additionally, the findings of the epigenome-wide analysis were corroborated in the validation stage. Results We identified 26 CpG sites with differential methylation reached false discovery rate (FDR) 
ISSN:0307-0565
1476-5497
1476-5497
DOI:10.1038/s41366-024-01538-y