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精神遗传学中的统计方法。

Statistical methods in psychiatric genetics.

作者信息

Sham P C

机构信息

Department of Psychological Medicine, Institute of Psychiatry, London, UK.

出版信息

Stat Methods Med Res. 1998 Sep;7(3):279-300. doi: 10.1177/096228029800700305.

Abstract

Most psychiatric disorders are determined by the complex interplay between genetic and environmental factors. Aetiological research into these complex disorders raises many different questions which require a variety of statistical methods. These include survival analysis for the estimation of morbid risk, structural equation models for the partitioning of phenotypic variances and covariances into genetic and other components, complex segregation analysis to detect loci of major effect, and linkage and association analysis for the localisation and identification of susceptibility genes. Future developments in psychiatric genetics will involve the integration of genetic and epidemiological statistics in order to study the interplay between genetic and environmental factors in the complex pathways which lead to mental disorders.

摘要

大多数精神疾病是由遗传因素和环境因素之间复杂的相互作用所决定的。对这些复杂疾病的病因学研究提出了许多不同的问题,这需要多种统计方法。这些方法包括用于估计发病风险的生存分析、用于将表型方差和协方差划分为遗传和其他成分的结构方程模型、用于检测主要效应位点的复杂分离分析,以及用于定位和识别易感基因的连锁分析和关联分析。精神遗传学未来的发展将涉及遗传统计学和流行病学统计学的整合,以便在导致精神障碍的复杂途径中研究遗传因素和环境因素之间的相互作用。

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