Methylome-wide studies of six metabolic traits.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
29 May 2024
29 May 2024
Historique:
medline:
10
6
2024
pubmed:
10
6
2024
entrez:
10
6
2024
Statut:
epublish
Résumé
Exploring the molecular correlates of metabolic health measures may identify the shared and unique biological processes and pathways that they track. Here, we performed epigenome-wide association studies (EWASs) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio (WHR), and blood-based measures of glucose, high-density lipoprotein (HDL) cholesterol, and total cholesterol. We considered blood-based DNA methylation (DNAm) from >750,000 CpG sites in over 17,000 volunteers from the Generation Scotland (GS) cohort. Linear regression analyses identified between 304 and 11,815 significant CpGs per trait at P<3.6×10
Identifiants
pubmed: 38853823
doi: 10.1101/2024.05.29.24308103
pmc: PMC11160850
pii:
doi:
Types de publication
Journal Article
Preprint
Langues
eng