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对调整基因研究进行综合性交配的总体方法
Marta Bilghese1, Regina Manansala2, Dhruva Jaishankar3
1Department of Finance, Massachusetts Institute of Technology, Cambridge, MA, USA.
bioRxiv : the preprint server for biology
|September 21, 2023
概括
选择性交配 (AM) 偏差遗传相关性估计. 一种新的多基因指数 (PGI) 方法估计了AM.
科学领域:
- 遗传学 遗传学 是一个
- 定量遗传学 是一个量子遗传学.
- 行为遗传学行为遗传学
背景情况:
- 选择性交配 (AM),基因型或表型的非随机关联,越来越多地影响遗传研究的估计.
- 现有的AM理论需要复杂的,未知的历史分类模式来进行准确的调整.
- 亚米对遗传关联和门德尔随机化 (MR) 的影响需要强大的分析方法.
研究的目的:
- 开发一种通用方法来估计AM对遗传变异和相关性的影响.
- 评估拟议的基于PGI的方法的有效性,特别是在门德尔随机化 (MR) 研究中.
- 量化由于AM而导致的健康和教育特征之间的遗传相关性膨胀.
主要方法:
- 将现有的AM理论扩展到更一般的分类模型.
- 开发和应用基于PGI的方法来估计AM对遗传变异和相关性的贡献.
- 分析英国生物库数据,以实证评估AM对遗传相关性的影响.
主要成果:
- 拟议的PGI方法可以估计归因于AM的遗传变异和相关性的部分.
- 在英国生物银行数据中,AM将健康和教育特征之间的遗传相关性估计平均膨胀14%.
- 基于PGI的调整在门德尔随机化 (MR) 研究中效率较低,原因是诱导的选择偏差和对PGI估计错误的敏感性.
结论:
- 在英国生物库数据中,选择性交配 (AM) 平均将健康和教育特征之间的遗传相关性估计膨胀了14%.
- 拟议的PGI方法提供了一个更简单的,基于理论的调整在遗传研究中对AM的影响.
- 研究人员在解释AM影响的特征的遗传相关性或MR估计时应谨慎.
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