1. Genetic Factors Associated with Absolute and Relative Plasma Concentrations of Calcitriol.
- Author
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Wilson RT, Safford SE, Ostrom QT, Wang M, McDonald AC, Salzberg AC, Barnholtz-Sloan JS, and Richie JP
- Subjects
- Young Adult, Humans, Cross-Sectional Studies, Calcifediol metabolism, Vitamins, Receptors, Calcitriol genetics, Calcitriol metabolism, Vitamin D
- Abstract
Background: Little is known regarding factors associated with calcitriol and a relative measure of calcitriol, the calcitriol-24,25-dihydroxyvitamin D3-calcifediol proportion ratio (C24CPR)., Methods: Using a cross-sectional study design, healthy young adults of African and European descent, matched (1:1) on age (±5 years) provided a blood sample in non-summer months (N = 376). Vitamin D metabolites were measured in plasma with HPLC/MS-MS. West African genetic ancestry proportion (WGA) was estimated using STRUCTURE modeling of genetic ancestry-informative markers. Multivariable regression models were used to estimate the association of WGA and vitamin D-pathway gene variants with calcitriol and C24CPR, controlling for days from summer solstice, age, sex, blood pressure, body mass index, dietary vitamin D intake, oral contraceptive/medroxyprogesterone acetate use, smoking, tanning bed use, and time of day., Results: Calcitriol and C24CPR were not highly correlated (rho = 0.14), although both were significantly, positively, and monotonically associated with WGA (Ptrend 0.025 and <0.001, respectively). In fully adjusted models, genetic factors explained a greater proportion of variability in C24CPR (R2 = 0.121 and 0.310, respectively). Variants in genes with associated with calcitriol (CALB1, CYP27B1, GC, and PPARGC1A) differed from those associated with C24CPR (CYP3A43, FGF23, KL, and VDR)., Conclusions: Both absolute and relative measures of calcitriol were significantly higher among African Americans. Otherwise, these biomarkers appear to be genetically distinct., Impact: C24CPR may be better suited to personalized medicine, due to a higher proportion of population variability explained by genetic variation and a less skewed distribution., (©2023 American Association for Cancer Research.)
- Published
- 2023
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