Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data.

Jingxian TangHanfei XuZihao XinQuanshun MeiMusong GaoTiantian YangXiaoyu ZhangDaniel LevyChing-Ti Liu

Published in: Human molecular genetics (2024)

This study integrated three types of omics data and identified a group of genes that have not previously been reported to be associated with BMI. This strategy could provide new insights for future studies to identify molecular mechanisms contributing to BMI regulation.

Keyphrases

genome wide
body mass index
dna methylation
electronic health record
weight gain
single cell
big data
copy number
bioinformatics analysis
genome wide identification
machine learning
gene expression
artificial intelligence
case control
deep learning
weight loss