Genetic associations with carotid intima-media thickness link to atherosclerosis with sex-specific effects in sub-Saharan Africans.
Romuald Palwende BouaJean-Tristan BrandenburgAnanyo ChoudhuryHermann SorghoEngelbert Adamwaba NonterahGodfred AgongoGershim AsikiLisa K MicklesfieldSolomon ChomaFrancesc Xavier Gómez-OlivéScott HazelhurstHalidou TintoNigel J CrowtherChristopher G MathewMichelle Ramsaynull nullnull nullPublished in: Nature communications (2022)
Atherosclerosis precedes the onset of clinical manifestations of cardiovascular diseases (CVDs). We used carotid intima-media thickness (cIMT) to investigate genetic susceptibility to atherosclerosis in 7894 unrelated adults (3963 women, 3931 men; 40 to 60 years) resident in four sub-Saharan African countries. cIMT was measured by ultrasound and genotyping was performed on the H3Africa SNP Array. Two new African-specific genome-wide significant loci for mean-max cIMT, SIRPA (p = 4.7E-08), and FBXL17 (p = 2.5E-08), were identified. Sex-stratified analysis revealed associations with one male-specific locus, SNX29 (p = 6.3E-09), and two female-specific loci, LARP6 (p = 2.4E-09) and PROK1 (p = 1.0E-08). We replicate previous cIMT associations with different lead SNPs in linkage disequilibrium with SNPs primarily identified in European populations. Our study find significant enrichment for genes involved in oestrogen response from female-specific signals. The genes identified show biological relevance to atherosclerosis and/or CVDs, sex-differences and transferability of signals from non-African studies.
Keyphrases
- genome wide
- dna methylation
- cardiovascular disease
- copy number
- cardiovascular risk factors
- magnetic resonance imaging
- type diabetes
- optical coherence tomography
- computed tomography
- metabolic syndrome
- pregnant women
- polycystic ovary syndrome
- mass spectrometry
- quality improvement
- single cell
- insulin resistance
- genome wide association study
- patient safety
- contrast enhanced ultrasound
- ultrasound guided
- hepatitis c virus
- hiv infected
- high density