Literature DB >> 16671110

Variance component models for X-linked QTLs.

Kenneth Lange1, Eric Sobel.   

Abstract

This paper discusses the theory and implementation of a model for mapping X-linked quantitative trait loci (QTL). As a result of X inactivation, a female's body is subdivided into a number of patches. In each patch one of her two X chromosomes is randomly switched off. This smooths the allelic contributions in a heterozygote and implies that females should show less trait variation than males for an X-linked trait. The latest version of the genetic analysis program Mendel incorporates a simple variance component version of this model. An application to head circumference in autistic children illustrates Mendel in action.

Entities:  

Mesh:

Year:  2006        PMID: 16671110     DOI: 10.1002/gepi.20158

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  5 in total

1.  Association test for X-linked QTL in family-based designs.

Authors:  Li Zhang; Eden R Martin; Richard W Morris; Yi-Ju Li
Journal:  Am J Hum Genet       Date:  2009-04-02       Impact factor: 11.025

2.  A genetic perspective on gender, culture, and mathematics performance.

Authors:  Bernard S Strauss; Jacob A Strauss
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-02       Impact factor: 11.205

3.  QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep.

Authors:  J Poissant; C S Davis; R M Malenfant; J T Hogg; D W Coltman
Journal:  Heredity (Edinb)       Date:  2011-08-17       Impact factor: 3.821

4.  Identification of two common variants contributing to serum apolipoprotein B levels in Mexicans.

Authors:  Daphna Weissglas-Volkov; Christopher L Plaisier; Adriana Huertas-Vazquez; Ivette Cruz-Bautista; Daniela Riaño-Barros; Miguel Herrera-Hernandez; Laura Riba; Rita M Cantor; Janet S Sinsheimer; Carlos A Aguilar-Salinas; Teresa Tusie-Luna; Päivi Pajukanta
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-12-03       Impact factor: 8.311

5.  A whole genome linkage scan identifies multiple chromosomal regions influencing adiposity-related traits among Samoans.

Authors:  F Dai; G Sun; K Aberg; E D Keighley; S R Indugula; S T Roberts; D Smelser; S Viali; L Jin; R Deka; D E Weeks; S T McGarvey
Journal:  Ann Hum Genet       Date:  2008-07-08       Impact factor: 1.670

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.