A statistically robust variance-components approach for quantitative trait linkage analysis
نویسندگان
چکیده
منابع مشابه
Variance components models for gene-environment interaction in quantitative trait locus linkage analysis.
Gene-environment interaction (G x E) is likely to be a common and important source of variation for complex behavioral traits. Gene-environment interaction, or genetic control of sensitivity to the environment, can be incorporated into variance components twin and sib-pair analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a li...
متن کاملExact multipoint quantitative-trait linkage analysis in pedigrees by variance components.
Methods based on variance components are powerful tools for linkage analysis of quantitative traits, because they allow simultaneous consideration of all pedigree members. The central idea is to identify loci making a significant contribution to the population variance of a trait, by use of allele-sharing probabilities derived from genotyped marker loci. The technique is only as powerful as the...
متن کاملQuantitative 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...
متن کاملVariance components linkage analysis with repeated measurements.
BACKGROUND When subjects are measured multiple times, linkage analysis needs to appropriately model these repeated measures. A number of methods have been proposed to model repeated measures in linkage analysis. Here, we focus on assessing the impact of repeated measures on the power and cost of a linkage study. METHODS We describe three alternative extensions of the variance components appro...
متن کاملQuantitative trait linkage analysis using Gaussian copulas.
Mapping and identifying variants that influence quantitative traits is an important problem for genetic studies. Traditional QTL mapping relies on a variance-components (VC) approach with the key assumption that the trait values in a family follow a multivariate normal distribution. Violation of this assumption can lead to inflated type I error, reduced power, and biased parameter estimates. To...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annals of Human Genetics
سال: 1999
ISSN: 0003-4800,1469-1809
DOI: 10.1046/j.1469-1809.1999.6330249.x