经典双胞胎设计中的环境与PGS相互作用:对儿童焦虑和负面影响的应用
Susanne Bruins1,2, Jouke-Jan Hottenga1, Michael C Neale1,3
1Department of Biological Psychology, Vrije Universiteit.
Multivariate behavioral research
|July 13, 2023
概括
在双胞胎研究中,可以使用多基因分数 (PGS) 检测基因型与环境的相互作用. 较低的智商-多基因分数会放大环境对儿童负面影响的影响.
科学领域:
- 行为遗传学 行为遗传学
- 精神病学遗传学 精神病学遗传学
- 量化遗传学 量化遗传学
背景情况:
- 基因型与环境的相互作用 (GxE) 对于理解表型中的个体差异至关重要.
- 经典的双胞胎设计对于剖析遗传和环境影响具有强大作用.
- 多基因分数 (PGS) 可以捕捉复杂特征的遗传变异的一部分.
研究的目的:
- 提出并验证一种新的统计模型,用于在经典的双胞胎设计中使用PGS检测GxE.
- 通过模拟来研究拟议的环境-通过-PGS交互模型的统计功率和参数恢复.
- 将模型应用于儿童焦虑和负面影响的经验数据.
主要方法:
- 开发了一个GxE模型,将PGS纳入经典的双胞胎设计框架.
- 在各种条件下 (遗传性,PGS强度,样本大小) 进行了广泛的模拟来评估统计功率和参数恢复.
- 将验证的模型应用于7岁儿童的样本中,使用PGS用于严重抑郁和智力 (IQ) 来预测负面影响.
主要成果:
- 检测环境-通过-PGS相互作用的能力受表型遗传性和PGS强度的影响.
- 模拟结果表明,在现实的条件下,环境-按-PGS模型的可行性.
- 经验发现显示,常见的环境对负面影响的影响在IQ-PGS较低的儿童中被放大.
结论:
- 拟议的环境-通过-PGS交互模型提供了一个统计学上合理的方法来检测GxE.
- 这种方法提高了我们理解遗传倾向和环境因素如何相互作用以塑造诸如负面影响之类的复杂表型的能力.
- 这些发现强调了与智商相关的遗传因素在缓解环境影响对儿童负面影响方面的作用.
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