PMID: 11329691May 2, 2001Paper

Genetic linkage methods for quantitative traits

Statistical Methods in Medical Research
Christopher I Amos, Mariza de Andrade

Abstract

We discuss methods for detecting genetic linkage for quantitative data. The usual LOD score method uses a pseudolikelihood formulation and has optimal power provided all parameters are correctly specified, but can lead to erroneous estimates of the location for the locus influencing a trait under misspecification of parameters describing the variance of the trait. Alternative methods, in which attention focuses upon modelling covariation among relatives as a function of genetic marker, similarity lead to unbiased estimates of the location and major gene heritability of the trait influencing locus. The Haseman-Elston approach uses a regression method to perform linkage analysis and its properties have been widely studied. This method is generally less powerful than variance components procedures, but the maximum likelihood-based variance components procedures require normality of the trait to ensure robustness of the genetic linkage tests (i.e. a correct false positive rate). When samples are non-randomly selected an ascertainment correction is generally required in order to obtain unbiased parameter estimates when applying variance components methods. For quantitative traits, ascertainment corrections usually condition either o...Continue Reading

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Citations

Oct 3, 2002·European Journal of Human Genetics : EJHG·Ruzong Fan, Momiao Xiong
Sep 17, 2004·Genetic Epidemiology·Silviu-Alin Bacanu
Feb 28, 2004·Diabetes·Wei-Dong LiR Arlen Price
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Jul 16, 2011·Journal of Lipid Research·Elisabeth A RosenthalGail P Jarvik
Dec 7, 2005·American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics·Robert P IgoEllen M Wijsman
Jun 15, 2007·Human Genetics·Olga Y GorlovaChristopher I Amos
May 14, 2021·Circulation Research·Ray E HershbergerDaniel D Kinnamon

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