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Linkage Analysis: Principles and Methods for the Analysis of Human Quantitative Traits

Published online by Cambridge University Press:  21 February 2012

Manuel A. R. Ferreira
Manuel A. R. Ferreira*
Affiliation:
Queensland Institute of Medical Research, Brisbane,Australia. manuelF@qimr.edu.au
*
*Address for correspondence: Manuel A. R. Ferreira, Queensland Institute of Medical Research, P.O. Royal Brisbane Hospital, Brisbane 4029, Australia.

Abstract

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Currently, mapping genes for complex human traits relies on two complementary approaches, linkage and association analyses. Both suffer from several methodological and theoretical limitations, which can considerably increase the type-1 error rate and reduce the power to map human quantitative trait loci (QTL). This review focuses on linkage methods for QTL mapping. It summarizes the most common linkage statistics used, namely Haseman–Elston-based methods, variance components, and statistics that condition on trait values. Methods developed more recently that accommodate the X-chromosome, parental imprinting and allelic association in linkage analysis are also summarized. The type-I error rate and power of these methods are discussed. Finally, rough guidelines are provided to help guide the choice of linkage statistics.

Information

Type
Articles
Information
Twin Research and Human Genetics , Volume 7 , Issue 5 , 01 October 2004 , pp. 513 - 530
Copyright
Copyright © Cambridge University Press 2004