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GAW10:具有定量风险因素的常见寡基因疾病的模拟家系数据。

GAW10: simulated family data for a common oligogenic disease with quantitative risk factors.

作者信息

MacCluer J W, Blangero J, Dyer T D, Speer M C

机构信息

Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas 78245-0549, USA.

出版信息

Genet Epidemiol. 1997;14(6):737-42. doi: 10.1002/(SICI)1098-2272(1997)14:6<737::AID-GEPI29>3.0.CO;2-Q.

DOI:10.1002/(SICI)1098-2272(1997)14:6<737::AID-GEPI29>3.0.CO;2-Q
PMID:9433570
Abstract

GAW10 Problem 2 involves a simulated common disease defined by imposing a threshold, T, on a quantitative trait, Q1. Every individual with a value of Q1 > or = T (where T = 40) is defined as affected. Also thought to be associated with the disease as intervening variables are four other quantitative traits (Q2, Q3, Q4, and Q5) and an environmental factor (EF). Each individual has genotypes for 367 highly polymorphic markers on 10 chromosomes. The tasks for GAW10 were to characterize the genetic and environmental contribution to Q1 (and the disease), Q2, Q3, Q4, and Q5, and to localize any single genes that have detectable effects. Multiple replicates provided an opportunity to address questions of power and false positive rates.

摘要

GAW10问题2涉及一种通过对数量性状Q1设定阈值T来定义的模拟常见疾病。每个Q1值大于或等于T(其中T = 40)的个体被定义为患病。另外四个数量性状(Q2、Q3、Q4和Q5)以及一个环境因素(EF)被认为作为中间变量与该疾病相关。每个个体在10条染色体上有367个高度多态性标记的基因型。GAW10的任务是描述基因和环境对Q1(以及该疾病)、Q2、Q3、Q4和Q5的贡献,并定位任何具有可检测效应的单个基因。多次重复提供了一个解决检验效能和假阳性率问题的机会。

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