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Updated: Jan 19, 2026

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变异选择以最大化变异,用cis-Mendelian随机化来解释

Ang Zhou1, Ville Karhunen2, Haodong Tian3

  • 1MRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, Australia.

HGG advances
|January 18, 2026
PubMed
概括

为孟德尔随机化 (MR) 选择仪器变量通过包括相关变量来改进. 结合无变异的方法可靠地提高了cis-MR分析中的仪器强度,提高了统计能力.

关键词:
药物目标 门德尔式随机化 门德尔式随机化解释的差异差异 解释的差异变体选择 变体选择在cis-Mendelian随机化中使用.

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