Mendelian randomization (MR) study has become a powerful approach to assess the potential causal effect of a risk exposure on an outcome. Most current MR studies are conducted under the two-sample setting by combining summary data from two separate genome-wide association studies (GWAS), with one providing measures on associations between genetic markers and the risk exposure, and the other on associations between genetic markers and the outcome. We develop a power calculation procedure for the general two-sample MR study, allowing for the use of multiple genetic markers, and shared participants between the two GWAS. This procedure requires a few easy-to-interpret parameters and is validated through extensive simulation studies.

中文翻译：

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一般两样本孟德尔随机化分析的功效计算。

孟德尔随机化 (MR) 研究已成为评估风险暴露对结果的潜在因果影响的有力方法。大多数当前的 MR 研究是在双样本设置下进行的，通过结合来自两个独立的全基因组关联研究 (GWAS) 的摘要数据，其中一个提供遗传标记与风险暴露之间关联的测量，另一个提供遗传标记之间的关联和结果。我们为一般的两样本 MR 研究开发了一个功效计算程序，允许使用多个遗传标记，并在两个 GWAS 之间共享参与者。此过程需要一些易于解释的参数，并通过广泛的模拟研究得到验证。