Abstract
Background: Although common genetic variants of the CRP gene (C-reactive protein, pentraxin related) have been associated with plasma concentrations of high-sensitivity CRP (hsCRP) in several cohorts of European Americans, relatively few studies have comprehensively assessed this association in well-characterized multiethnic populations.
Methods: In a case–control study of diabetes nested in the Women’s Health Initiative Observational Cohort, we comprehensively evaluated the association of genetic variation in CRP with plasma hsCRP concentrations. Thirteen haplotype-tagging single-nucleotide polymorphisms (tSNPs) were identified and subsequently genotyped in 3782 postmenopausal women.
Results: The allele frequencies for these tSNPs and the haplotype blocks defined by these tSNPs varied significantly by ethnic group (P < 0.0001). Consistent with prior studies of whites, rs3093068, rs1130864, and rs1417938 were significantly associated with higher hsCRP concentrations (geometric-mean increase per minor-allele change, 1.20–1.25 mg/L), and rs1205 and rs1800947 were significantly associated with lower hsCRP values (decrease of 1.28–1.48 mg/L). The associations with rs3093068 and rs1205 appeared to be stronger in Asians/Pacific Islanders than in whites (geometric-mean increase, 1.65 mg/L vs 1.25 mg/L, respectively). Minor alleles at rs3093075 and rs3093059 were associated with substantially increased hsCRP concentrations, whereas rs1800947 was associated with lower hsCRP values. All haplotype-based association results tended to be consistent with the associations seen with single CRP SNPs.
Conclusions: Our large multiethnic case–control study of postmenopausal women provides evidence that common genetic variants in the CRP gene are substantially associated with plasma hsCRP concentrations in this case–control subcohort. The data also suggest ethnic variations in these associations.
Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study
