Multi-omics Integration Identifies Genes Influencing Traits Associated with Cardiovascular Risks: The Long Life Family Study.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
04 Mar 2024
04 Mar 2024
Historique:
medline:
18
3
2024
pubmed:
18
3
2024
entrez:
18
3
2024
Statut:
epublish
Résumé
The Long Life Family Study (LLFS) enrolled 4,953 participants in 539 pedigrees displaying exceptional longevity. To identify genetic mechanisms that affect cardiovascular risks in the LLFS population, we developed a multi-omics integration pipeline and applied it to 11 traits associated with cardiovascular risks. Using our pipeline, we aggregated gene-level statistics from rare-variant analysis, GWAS, and gene expression-trait association by Correlated Meta-Analysis (CMA). Across all traits, CMA identified 64 significant genes after Bonferroni correction (p ≤ 2.8×10
Identifiants
pubmed: 38496585
doi: 10.1101/2024.03.04.24303657
pmc: PMC10942516
pii:
doi:
Types de publication
Preprint
Langues
eng