Login / Signup

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
  • genome wide identification
  • physical activity
  • data analysis
  • case control
  • weight loss