多基因风险评分与心理健康结局预测。
Polygenic risk scoring and prediction of mental health outcomes.
机构信息
Department of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA.
Department of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA; Virginia Institute for Psychiatric & Behavioral Genetics, Virginia Commonwealth University School of Medicine, 800 E. Leigh St., Biotech One Suite 100, Richmond, VA 23219, USA.
出版信息
Curr Opin Psychol. 2019 Jun;27:77-81. doi: 10.1016/j.copsyc.2018.09.002. Epub 2018 Sep 20.
Abstract
Psychiatric conditions are highly polygenic, meaning that genetic risk arises from many hundreds or thousands of genetic variants. Psychiatric genomics and psychological science are increasingly using polygenic risk scoring-the integration of all common genetic variant effects into a single risk metric-to model latent risk and to predict mental health outcomes. This review discusses the use of these scores in psychology and psychiatry to date, important methodological considerations, and potential of scoring methods for informing psychological science. Polygenic risk scores can easily be added to environmental and behavioral genetic models of latent risk, making them desirable metrics for use in psychological research.
摘要
精神疾病具有高度的多基因遗传特征，这意味着遗传风险来自数百或数千种常见的遗传变异。精神疾病遗传学和心理学科学越来越多地使用多基因风险评分——将所有常见遗传变异的影响整合到一个单一的风险指标中——来构建潜在风险模型并预测心理健康结果。本综述讨论了迄今为止这些评分在心理学和精神病学中的应用、重要的方法学考虑因素以及评分方法在心理科学中的应用潜力。多基因风险评分可以很容易地添加到潜在风险的环境和行为遗传模型中，因此它们是心理研究中非常理想的指标。
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