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使用风险计算来实施扩展的相对配对分析。

Using risk calculation to implement an extended relative pair analysis.

作者信息

Curtis D, Sham P C

机构信息

Academic Department of Psychiatry, St Mary's Hospital Medical School, London.

出版信息

Ann Hum Genet. 1994 May;58(2):151-62. doi: 10.1111/j.1469-1809.1994.tb01884.x.

Abstract

A new nonparametric method of linkage analysis is described based on identity by descent relationships between all pairs of affected relatives within a pedigree. This approach is an extension of ESPA, which only uses information from pairs of affected siblings. The new method, called ERPA, uses the risk calculation facilities of the LINKAGE programs to obtain the necessary information in a fashion which is simple to implement and which automatically generalizes to allow for marker loci which may be multiple, non-codominant and sex-linked. We have investigated the relative performance of ERPA, ESPA and the lod score method on simulated data. ERPA appears to be more sensitive than ESPA for detecting linkage in pedigrees with small sibships, though both nonparametric methods are inferior to the lod score method when the true mode of transmission can be specified.

摘要

本文描述了一种基于家系中所有患病亲属对之间的同源关系的新的非参数连锁分析方法。这种方法是ESPA的扩展,ESPA仅使用患病同胞对的信息。这种新方法称为ERPA,它利用LINKAGE程序的风险计算工具,以一种易于实现的方式获取必要信息,并能自动推广以适用于可能是多个、非共显性和性连锁的标记位点。我们在模拟数据上研究了ERPA、ESPA和对数优势比分法的相对性能。在小家系中检测连锁时,ERPA似乎比ESPA更敏感,不过当可以指定真实的遗传模式时,两种非参数方法都不如对数优势比分法。

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