孟德尔随机化
维生素D与神经学
肾功能
内科学
内分泌学
肾脏疾病
单核苷酸多态性
背景(考古学)
医学
维生素D缺乏
血尿素氮
生物
遗传学
基因型
基因
遗传变异
古生物学
作者
Manel Adi,Faegheh Ghanbari,Mallory L. Downie,Adriana M. Hung,Cassianne Robinson‐Cohen,Despoina Manousaki
标识
DOI:10.1210/clinem/dgac724
摘要
Abstract Context Observational studies investigating the role of vitamin D in renal function have yielded inconsistent results. Objective We tested whether 25-hydroxyvitamin D (25[OH]D) serum levels are associated with renal function, and inversely, whether altered renal function causes changes in 25(OH)D, using Mendelian randomization (MR). Methods In this two-sample MR study, we used single nucleotide polymorphisms (SNP) associated with 25(OH)D in 443 734 Europeans and evaluated their effects on estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN), chronic kidney disease (CKD) risk and progression in genome-wide association studies totaling over 1 million Europeans. To control for pleiotropy, we also used SNPs solely in DHCR7, CYP2R1, and GC, all genes with known roles in vitamin D metabolism. We performed a reverse MR, using SNPs for the above indices of renal function to study causal effects on 25(OH)D levels. Results We did not find robust evidence supporting effects of 25(OH)D on eGFR, BUN, and CKD or its progression. Our inverse variance weighted MR demonstrated a 0.56 decrease in standardized log-transformed 25(OH)D (95% CI −0.73, −0.41; P = 2.89 × 10−12) per unit increase in log-transformed eGFR. Increased BUN was associated with increased 25(OH)D (β = 0.25, 95% CI 0.15, 0.36; P = 4.12 × 10−6 per unit increase in log-transformed BUN). Finally, genetically predicted CKD conferred a 0.05 increase in standardized log-transformed 25(OH)D level (95% CI 0.04, 0.06; P = 1.06 × 10−13). Other MR methods confirmed the findings of the main analyses. Conclusion Genetically predicted CKD, increased BUN, and decreased eGFR are associated with increased 25(OH)D levels, but we found no causal effect of 25(OH)D on renal function in Europeans.
科研通智能强力驱动
Strongly Powered by AbleSci AI