PuSH - Publication Server of Helmholtz Zentrum München

Kamiza, A.B.* ; Touré, S.M.* ; Zhou, F.* ; Soremekun, O.* ; Cissé, C.* ; Wélé, M.* ; Touré, A.M.* ; Nashiru, O.* ; Corpas, M.* ; Nyirenda, M.* ; Crampin, A.* ; Shaffer, J.* ; Doumbia, S.* ; Zeggini, E. ; Morris, A.P.* ; Asimit, J.L.* ; Chikowore, T.* ; Fatumo, S.

Multi-trait discovery and fine-mapping of lipid loci in 125,000 individuals of African ancestry.

Nat. Commun. 14:5403 (2023)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Most genome-wide association studies (GWAS) for lipid traits focus on the separate analysis of lipid traits. Moreover, there are limited GWASs evaluating the genetic variants associated with multiple lipid traits in African ancestry. To further identify and localize loci with pleiotropic effects on lipid traits, we conducted a genome-wide meta-analysis, multi-trait analysis of GWAS (MTAG), and multi-trait fine-mapping (flashfm) in 125,000 individuals of African ancestry. Our meta-analysis and MTAG identified four and 14 novel loci associated with lipid traits, respectively. flashfm yielded an 18% mean reduction in the 99% credible set size compared to single-trait fine-mapping with JAM. Moreover, we identified more genetic variants with a posterior probability of causality >0.9 with flashfm than with JAM. In conclusion, we identified additional novel loci associated with lipid traits, and flashfm reduced the 99% credible set size to identify causal genetic variants associated with multiple lipid traits in African ancestry.
Altmetric
Additional Metrics?
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Genome; Resource; Risk
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Quellenangaben Volume: 14, Issue: 1, Pages: , Article Number: 5403 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Translational Genomics (ITG)
Grants FIC NIH HHS
Medical Research Council