在选择性交配下估计间接遗传影响和遗传性
1UCLA Anderson School of Management, Los Angeles, CA, USA.
bioRxiv : the preprint server for biology
|July 28, 2023
概括
分类性交配偏差遗传培养估计. 这项研究引入了一种新方法,用于准确估计间接遗传影响和遗传性,计算交配模式,并为研究人员提供软件.
科学领域:
- 定量遗传学 是一个量子遗传学.
- 行为遗传学行为遗传学
- 统计遗传学 统计遗传学
背景情况:
- 现型变异源于直接的遗传效应和间接的遗传效应 (例如,父母对后代的遗传影响).
- 选择性交配,即具有相似基因型的个体之间的非随机交配,使得对这些遗传效应的准确估计变得复杂.
- 使用多基因指数 (PGI) 估计间接遗传影响的现有方法容易受到分类交配的偏差的影响.
结论:
- 精确估计遗传效应需要考虑分类交配.
- 新方法和相关软件 ("snipar") 为分析遗传培养和遗传性提供了一个强大的框架.
- 这些发现突显了现有的EA遗传性估计中的潜在差异,并强调了定量遗传学方法论严谨的重要性.
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