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Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

Authors :
Jean-Tristan Brandenburg
Shane Norris
Francesc Xavier Gomez-Olive
Lisa Micklesfield
Gershim Asiki
Palwende Romuald BOUA
Dhriti Sengupta
Tinashe Chikowore
Ananyo Choudhury
Source :
Nature Communications. 13
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Genetic associations for lipid traits have identified hundreds of variants with clear differences across European, Asian and African studies. Based on a sub-Saharan-African GWAS for lipid traits in the population cross-sectional AWI-Gen cohort (N = 10,603) we report a novel LDL-C association in the GATB region (P-value=1.56 × 10−8). Meta-analysis with four other African cohorts (N = 23,718) provides supporting evidence for the LDL-C association with the GATB/FHIP1A region and identifies a novel triglyceride association signal close to the FHIT gene (P-value =2.66 × 10−8). Our data enable fine-mapping of several well-known lipid-trait loci including LDLR, PMFBP1 and LPA. The transferability of signals detected in two large global studies (GLGC and PAGE) consistently improves with an increase in the size of the African replication cohort. Polygenic risk score analysis shows increased predictive accuracy for LDL-C levels with the narrowing of genetic distance between the discovery dataset and our cohort. Novel discovery is enhanced with the inclusion of African data.

Details

ISSN :
20411723
Volume :
13
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi...........9efc9819eb1be1be6d39b34193455c48
Full Text :
https://doi.org/10.1038/s41467-022-30098-w