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使用不完整数据的多点和单点非参数连锁分析。

Multipoint and single point non-parametric linkage analysis with imperfect data.

作者信息

Sullivan Patrick F, Neale Benjamin M, Neale Michael C, van den Oord Edwin, Kendler Kenneth S

机构信息

Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, North Carolina 27599-7264, USA.

出版信息

Am J Med Genet B Neuropsychiatr Genet. 2003 Aug 15;121B(1):89-94. doi: 10.1002/ajmg.b.20069.

Abstract

We used simulation to explore the impact of common data imperfections (i.e., missing parents, genotyping error, map error, and missing genotypes) upon the performance of multipoint and single point linkage analysis in the analyses of linkage data from pairs of siblings affected with an idealized complex trait. The performance of single point and multipoint linkage was similar under an unrealistic best case scenario; however, when four data imperfections were combined, the performance of single point linkage analysis appeared to be superior to multipoint. The absence of parental genotypes in the presence of 1% genotype error led to marked degradation of linkage signal, particularly for multipoint analyses.

摘要

我们采用模拟方法,在对受理想化复杂性状影响的同胞对的连锁数据进行分析时,探究常见数据缺陷(即缺失亲本、基因分型错误、图谱错误和基因型缺失)对多点和单点连锁分析性能的影响。在不切实际的最佳情况下,单点和多点连锁的性能相似;然而,当四种数据缺陷同时存在时,单点连锁分析的性能似乎优于多点分析。在存在1%基因分型错误的情况下,亲本基因型的缺失导致连锁信号显著衰减,尤其是对于多点分析而言。

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