利用完整的高分辨率同源基因图谱进行遗传连锁分析的高斯模型。
Gaussian models for genetic linkage analysis using complete high-resolution maps of identity by descent.
作者信息
Feingold E, Brown P O, Siegmund D
机构信息
Department of Statistics, Stanford University, CA 94305.
出版信息
Am J Hum Genet. 1993 Jul;53(1):234-51.
Abstract
Gaussian-process models are developed to detect genetic linkage using complete high-resolution maps of identity by descent between affected relative pairs. Approximations are given for the significance level and power of the likelihood-ratio test of no linkage and for likelihood-ratio confidence regions for trait loci. The sample sizes required to detect linkage by using different classes of affected relative pairs are compared, and the problem of combining data from different classes of relatives is discussed.
摘要
开发高斯过程模型以利用患病亲属对之间的完整高分辨率同源性图谱来检测基因连锁。给出了无连锁似然比检验的显著性水平和功效以及性状位点似然比置信区域的近似值。比较了使用不同类型患病亲属对检测连锁所需的样本量，并讨论了合并来自不同类型亲属的数据的问题。
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