推导多位点模型的遗传方差成分。

Deriving components of genetic variance for multilocus models.

作者信息

Tiwari H K, Elston R C

机构信息

Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109, USA.

出版信息

Genet Epidemiol. 1997;14(6):1131-6. doi: 10.1002/(SICI)1098-2272(1997)14:6<1131::AID-GEPI95>3.0.CO;2-H.

DOI:10.1002/(SICI)1098-2272(1997)14:6<1131::AID-GEPI95>3.0.CO;2-H

PMID:9433636

Abstract

Several authors have considered two-locus models as a basis for the inheritance of complex diseases. The purpose of this paper is to give a simple general formulation to derive the additive, dominant, and epistatic effects, and hence the corresponding variance components, for any multilocus model. These variance components should be useful for investigating the power of model-free linkage analysis to detect various modes of multilocus inheritance.

摘要

几位作者已将双基因座模型视为复杂疾病遗传的基础。本文的目的是给出一个简单的通用公式，以推导任何多位点模型的加性、显性和上位性效应，从而得出相应的方差分量。这些方差分量对于研究无模型连锁分析检测多位点遗传各种模式的能力应该是有用的。