A Unified Haseman-Elston Method for Testing Linkage with Quantitative Traits
نویسندگان
چکیده
منابع مشابه
Quantitative trait linkage analysis by generalized estimating equations: unification of variance components and Haseman-Elston regression.
Two of the major approaches for linkage analysis with quantitative traits in humans include variance components and Haseman-Elston regression. Previously, these were viewed as quite separate methods. We describe a general model, fit by use of generalized estimating equations (GEE), for which the variance components and Haseman-Elston methods (including many of the extensions to the original Has...
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Forty years ago, Steven G. Vandenberg and I founded Behavior Genetics (Vandenberg and DeFries 1970). Because one of the most frequently cited articles in human genetics (Haseman and Elston 1972) was published in the first issue of Volume 2 of this journal, its current Executive Editor, John K. Hewitt, agreed that this might be an appropriate time to share my recollections regarding the publicat...
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Exploring heritability of complex traits is a central focus of statistical genetics. Among various previously proposed methods to estimate heritability, variance component methods are advantageous when estimating heritability using markers. Due to the high-dimensional nature of data obtained from genome-wide association studies (GWAS) in which genetic architecture is often unknown, the most app...
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For quantitative traits with a genetic component, random effects approaches are used to test for linkage at observed marker loci. We propose to use these approaches also for binary outcomes observed in sib pairs derived from a population-based cohort study. In addition to a random effect modelling correlation due to polygenic effect, a random effect is included to model the correlation between ...
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ژورنال
عنوان ژورنال: The American Journal of Human Genetics
سال: 2000
ISSN: 0002-9297
DOI: 10.1086/303081