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Abstract：
The existing literature on the relationship of hyperparathyroidism with both blood counts and biochemical indicators primarily comprises observational studies, which have produced inconsistent findings. This study aimed to evaluate the causal relationship between hyperparathyroidism and blood counts and biochemical indicators.
Mendelian randomization (MR) analyses were conducted to investigate the associations between hyperparathyroidism and the identified 55 blood counts and biochemical indicators. The genome-wide association study (GWAS) for hyperparathyroidism data was obtained from FinnGen, while the GWASs for the blood counts and biochemical indicators were sourced from the UK Biobank (UKBB).
The MR analysis using the inverse-variance weighted (IVW) method revealed potential causality between genetically predicted hyperparathyroidism and seven out of 55 blood counts and biochemical indicators. These markers include \"Platelet count\" (Beta = -0.041; 95% CI: -0.066, -0.016; p = 0.001), \"Platelet distribution width (PDW)\" (Beta = 0.031; 95% CI: 0.006, 0.056; p = 0.016), \"Mean platelet volume (MPV)\" (Beta = 0.043; 95% CI: 0.010, 0.076; p = 0.011), \"Vitamin D\" (Beta = -0.038; 95% CI: -0.063, -0.013; p = 0.003), \"Calcium (Ca2+)\" (Beta = 0.266; 95% CI: 0.022, 0.509; p = 0.033), \"Phosphate\" (Beta = -0.114; 95% CI: -0.214, -0.014; p = 0.025), and \"Alkaline phosphatase (ALP)\" (Beta = 0.030; 95% CI: 0.010, 0.049; p = 0.003).
The findings of our study revealed a suggestive causal relationship between hyperparathyroidism and blood cell count as well as biochemical markers. This presents a novel perspective for further investigating the etiology and pathological mechanisms underlying hyperparathyroidism.
Mendelian randomization (MR) analyses were conducted to investigate the associations between hyperparathyroidism and the identified 55 blood counts and biochemical indicators. The genome-wide association study (GWAS) for hyperparathyroidism data was obtained from FinnGen, while the GWASs for the blood counts and biochemical indicators were sourced from the UK Biobank (UKBB).
The MR analysis using the inverse-variance weighted (IVW) method revealed potential causality between genetically predicted hyperparathyroidism and seven out of 55 blood counts and biochemical indicators. These markers include \"Platelet count\" (Beta = -0.041; 95% CI: -0.066, -0.016; p = 0.001), \"Platelet distribution width (PDW)\" (Beta = 0.031; 95% CI: 0.006, 0.056; p = 0.016), \"Mean platelet volume (MPV)\" (Beta = 0.043; 95% CI: 0.010, 0.076; p = 0.011), \"Vitamin D\" (Beta = -0.038; 95% CI: -0.063, -0.013; p = 0.003), \"Calcium (Ca2+)\" (Beta = 0.266; 95% CI: 0.022, 0.509; p = 0.033), \"Phosphate\" (Beta = -0.114; 95% CI: -0.214, -0.014; p = 0.025), and \"Alkaline phosphatase (ALP)\" (Beta = 0.030; 95% CI: 0.010, 0.049; p = 0.003).
The findings of our study revealed a suggestive causal relationship between hyperparathyroidism and blood cell count as well as biochemical markers. This presents a novel perspective for further investigating the etiology and pathological mechanisms underlying hyperparathyroidism.
摘要：
■关于甲状旁腺功能亢进与血细胞计数和生化指标的关系的现有文献主要包括观察性研究，产生了不一致的发现。本研究旨在评估甲状旁腺功能亢进与血细胞计数和生化指标之间的因果关系。
■进行了孟德尔随机化（MR）分析，以研究甲状旁腺功能亢进与确定的55个血细胞计数和生化指标之间的关联。甲状旁腺功能亢进数据的全基因组关联研究（GWAS）来自FinnGen，而血液计数和生化指标的GWAS来自英国生物银行（UKBB）。
■使用逆方差加权（IVW）方法的MR分析揭示了遗传预测的甲状旁腺功能亢进与55个血细胞计数和生化指标中的7个之间的潜在因果关系。这些标记包括“血小板计数”（β=-0.041；95％CI：-0.066，-0.016；p=0.001），“血小板分布宽度（PDW）”（Beta=0.031；95％CI：0.006，0.056；p=0.016），“平均血小板体积（MPV）”（β=0.043；95％CI：0.010，0.076；p=0.011），“维生素D”(β=-0.038；95%CI：-0.063，-0.013；p=0.003)，“钙（Ca2+）”（β=0.266；95%CI：0.022，0.509；p=0.033），“磷酸盐”(β=-0.114；95%CI：-0.214，-0.014；p=0.025)，和“碱性磷酸酶（ALP）”（β=0.030；95%CI：0.010，0.049；p=0.003）。
■我们的研究结果揭示了甲状旁腺功能亢进与血细胞计数以及生化标志物之间的因果关系。这为进一步研究甲状旁腺功能亢进的病因和病理机制提供了新的视角。
■进行了孟德尔随机化（MR）分析，以研究甲状旁腺功能亢进与确定的55个血细胞计数和生化指标之间的关联。甲状旁腺功能亢进数据的全基因组关联研究（GWAS）来自FinnGen，而血液计数和生化指标的GWAS来自英国生物银行（UKBB）。
■使用逆方差加权（IVW）方法的MR分析揭示了遗传预测的甲状旁腺功能亢进与55个血细胞计数和生化指标中的7个之间的潜在因果关系。这些标记包括“血小板计数”（β=-0.041；95％CI：-0.066，-0.016；p=0.001），“血小板分布宽度（PDW）”（Beta=0.031；95％CI：0.006，0.056；p=0.016），“平均血小板体积（MPV）”（β=0.043；95％CI：0.010，0.076；p=0.011），“维生素D”(β=-0.038；95%CI：-0.063，-0.013；p=0.003)，“钙（Ca2+）”（β=0.266；95%CI：0.022，0.509；p=0.033），“磷酸盐”(β=-0.114；95%CI：-0.214，-0.014；p=0.025)，和“碱性磷酸酶（ALP）”（β=0.030；95%CI：0.010，0.049；p=0.003）。
■我们的研究结果揭示了甲状旁腺功能亢进与血细胞计数以及生化标志物之间的因果关系。这为进一步研究甲状旁腺功能亢进的病因和病理机制提供了新的视角。
