Gwo-Tsann Chuang, Chia-Ni Hsiung, Tony Pan-Hou Che, Yi-Cheng Chang, I-Jung Tsai, Shang-Jen Chang
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The primary causal estimates were calculated using the inverse variance-weighted (IVW) method. Sensitivity analyses, including weighted median, MR-Egger regression, and MR-PRESSO, were performed to evaluate the robustness of the results and assess pleiotropy.</p><p><strong>Results: </strong>In total, 46 single-nucleotide polymorphisms (SNPs) were used for OP-causing NL in the TWB-to-BBJ analysis, 10 SNPs for OP-causing NL in the BBJ-to-TWB analysis, 14 SNPs for NL-causing OP in the TWB-to-BBJ analysis, and 10 SNPs for NL-causing OP in the BBJ-to-TWB analysis. In the analysis assessing the effect of OP on NL, using genetic instruments from BBJ and outcome data from TWB, we observed a significant causal association (IVW β = 0.211, 95% CI: 0.039-0.384, p = 0.016). This finding was corroborated by the weighted median (p = 0.043) and robust MR-Egger (p = 0.025) analyses, with no evidence of directional pleiotropy (MR-Egger intercept p = 0.858). Conversely, in the reverse analysis, NL did not show a significant causal effect on OP risk in either cohort configuration (IVW p > 0.05).</p><p><strong>Conclusions: </strong>Our findings provide suggestive evidence that OP causally increases the risk of NL, whereas NL does not causally affect OP risk. 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This study aimed to elucidate the bidirectional causal relationship between OP and NL using a two-sample mendelian randomization (MR) approach.</p><p><strong>Methods: </strong>We utilized genome-wide association study summary statistics from Taiwan Biobank (TWB; OP: 14,507 cases/79,846 controls; NL: 6,318 cases/88,035 controls) and BioBank Japan (BBJ; OP: 9,794 cases/159,138 controls; NL: 11,699 cases/155,328 controls). Genetic instruments were selected using a suggestive genome-wide threshold of p value <1.0 × 10-5, followed by LD clumping and weak-instrument filtering. The primary causal estimates were calculated using the inverse variance-weighted (IVW) method. Sensitivity analyses, including weighted median, MR-Egger regression, and MR-PRESSO, were performed to evaluate the robustness of the results and assess pleiotropy.</p><p><strong>Results: </strong>In total, 46 single-nucleotide polymorphisms (SNPs) were used for OP-causing NL in the TWB-to-BBJ analysis, 10 SNPs for OP-causing NL in the BBJ-to-TWB analysis, 14 SNPs for NL-causing OP in the TWB-to-BBJ analysis, and 10 SNPs for NL-causing OP in the BBJ-to-TWB analysis. In the analysis assessing the effect of OP on NL, using genetic instruments from BBJ and outcome data from TWB, we observed a significant causal association (IVW β = 0.211, 95% CI: 0.039-0.384, p = 0.016). This finding was corroborated by the weighted median (p = 0.043) and robust MR-Egger (p = 0.025) analyses, with no evidence of directional pleiotropy (MR-Egger intercept p = 0.858). 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引用次数: 0
摘要
流行病学证据表明骨质疏松症(OP)和肾结石(NL)之间有很强的相关性,但这种关系的因果方向仍存在争议。本研究旨在利用双样本孟德尔随机化(MR)方法阐明OP与NL之间的双向因果关系。采用p值< 1.0 × 10-5的暗示性全基因组阈值选择遗传工具,然后进行LD聚类和弱仪器过滤。主要因果估计采用反方差加权(IVW)方法计算。敏感度分析包括加权中位数、MR-Egger回归和MR-PRESSO,以评估结果的稳健性和评估多效性。结果在TWB-to-BBJ分析中共有46个snp用于op - cause - nl,在BBJ-to-TWB分析中有10个snp用于op - cause - nl,在TWB-to-BBJ分析中有14个snp用于nl - cause - op,在BBJ-to-TWB分析中有10个snp用于nl - cause - op。在评估OP对NL影响的分析中,使用BBJ的遗传仪器和TWB的结局数据,我们观察到显著的因果关系(IVW β = 0.211, 95% CI: 0.039-0.384, p = 0.016)。加权中位数(p = 0.043)和稳健MR-Egger (p = 0.025)分析证实了这一发现,没有证据表明存在方向性多效性(MR-Egger截距p = 0.858)。相反,在反向分析中,NL在两组队列配置中均未显示出对OP风险的显著因果影响(IVW p > 0.05)。结论:我们的研究结果提供了提示性证据,骨质疏松症会增加肾结石的风险,而肾结石不会影响骨质疏松症的风险。在临床上,骨质疏松症患者可能是需要进行尿路结石筛查的高危人群。
Osteoporosis Causes Nephrolithiasis: A Bidirectional Two-Sample Mendelian Randomization Study.
Introduction: Epidemiological evidence suggests a strong association between osteoporosis (OP) and nephrolithiasis (NL), yet the causal direction of this relationship remains debated. This study aimed to elucidate the bidirectional causal relationship between OP and NL using a two-sample mendelian randomization (MR) approach.
Methods: We utilized genome-wide association study summary statistics from Taiwan Biobank (TWB; OP: 14,507 cases/79,846 controls; NL: 6,318 cases/88,035 controls) and BioBank Japan (BBJ; OP: 9,794 cases/159,138 controls; NL: 11,699 cases/155,328 controls). Genetic instruments were selected using a suggestive genome-wide threshold of p value <1.0 × 10-5, followed by LD clumping and weak-instrument filtering. The primary causal estimates were calculated using the inverse variance-weighted (IVW) method. Sensitivity analyses, including weighted median, MR-Egger regression, and MR-PRESSO, were performed to evaluate the robustness of the results and assess pleiotropy.
Results: In total, 46 single-nucleotide polymorphisms (SNPs) were used for OP-causing NL in the TWB-to-BBJ analysis, 10 SNPs for OP-causing NL in the BBJ-to-TWB analysis, 14 SNPs for NL-causing OP in the TWB-to-BBJ analysis, and 10 SNPs for NL-causing OP in the BBJ-to-TWB analysis. In the analysis assessing the effect of OP on NL, using genetic instruments from BBJ and outcome data from TWB, we observed a significant causal association (IVW β = 0.211, 95% CI: 0.039-0.384, p = 0.016). This finding was corroborated by the weighted median (p = 0.043) and robust MR-Egger (p = 0.025) analyses, with no evidence of directional pleiotropy (MR-Egger intercept p = 0.858). Conversely, in the reverse analysis, NL did not show a significant causal effect on OP risk in either cohort configuration (IVW p > 0.05).
Conclusions: Our findings provide suggestive evidence that OP causally increases the risk of NL, whereas NL does not causally affect OP risk. Clinically, patients with OP may represent a high-risk population warranting screening for urinary tract stones.
期刊介绍:
The ''American Journal of Nephrology'' is a peer-reviewed journal that focuses on timely topics in both basic science and clinical research. Papers are divided into several sections, including: