数量性状的无模型连锁分析

Model-Free Linkage Analysis of a Quantitative Trait.

作者信息

Morris Nathan J, Stein Catherine M

机构信息

Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106-7281, USA.

出版信息

Methods Mol Biol. 2017;1666:327-342. doi: 10.1007/978-1-4939-7274-6_16.

DOI:10.1007/978-1-4939-7274-6_16

PMID:28980253

Abstract

Model-free methods of linkage analysis for quantitative traits are a class of easily implemented, computationally efficient and statistically robust approaches to searching for linkage to a quantitative trait. By "model-free" we refer to methods of linkage analysis that do not fully specify a genetic model (i.e., the causal allele frequency, and penetrance functions). In this chapter we briefly survey the methods that are available, and then we discuss the necessary steps to implement an analysis using the programs GENIBD, SIBPAL and RELPAL in the S.A.G.E. (Statistical Analysis for Genetic Epidemiology) software suite.

摘要

用于数量性状的无模型连锁分析方法是一类易于实施、计算高效且统计稳健的寻找数量性状连锁的方法。这里所说的“无模型”是指不完全指定遗传模型（即因果等位基因频率和外显率函数）的连锁分析方法。在本章中，我们简要概述现有的方法，然后讨论使用S.A.G.E.（遗传流行病学统计分析）软件套件中的GENIBD、SIBPAL和RELPAL程序进行分析所需的步骤。