Literature DB >> 18505378

Linkage disequilibrium and association mapping.

B S Weir1.   

Abstract

Linkage disequilibrium refers to the association between alleles at different loci. The standard definition applies to two alleles in the same gamete, and it can be regarded as the covariance of indicator variables for the states of those two alleles. The corresponding correlation coefficient rho is the parameter that arises naturally in discussions of tests of association between markers and genetic diseases. A general treatment of association tests makes use of the additive and nonadditive components of variance for the disease gene. In almost all expressions that describe the behavior of association tests, additive variance components are modified by the squared correlation coefficient rho2 and the nonadditive variance components by rho4, suggesting that nonadditive components have less influence than additive components on association tests.

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Year:  2008        PMID: 18505378     DOI: 10.1146/annurev.genom.9.081307.164347

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  38 in total

1.  Human population dispersal "Out of Africa" estimated from linkage disequilibrium and allele frequencies of SNPs.

Authors:  Brian P McEvoy; Joseph E Powell; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2011-04-25       Impact factor: 9.043

2.  Estimating linkage disequilibria.

Authors:  N H Barton
Journal:  Heredity (Edinb)       Date:  2010-05-26       Impact factor: 3.821

3.  Statistical genetic issues for genome-wide association studies.

Authors:  Bruce S Weir
Journal:  Genome       Date:  2010-11       Impact factor: 2.166

Review 4.  Characterizing allelic association in the genome era.

Authors:  B S Weir; C C Laurie
Journal:  Genet Res (Camb)       Date:  2010-12       Impact factor: 1.588

5.  Linkage disequilibrium between loci with unknown phase.

Authors:  Alan R Rogers; Chad Huff
Journal:  Genetics       Date:  2009-05-11       Impact factor: 4.562

6.  Accurate prediction of a minimal region around a genetic association signal that contains the causal variant.

Authors:  Zoltán Bochdanovits; Javier Simón-Sánchez; Marianne Jonker; Witte J Hoogendijk; Aad van der Vaart; Peter Heutink
Journal:  Eur J Hum Genet       Date:  2013-06-05       Impact factor: 4.246

7.  Meet me halfway: when genomics meets structural bioinformatics.

Authors:  Sungsam Gong; Catherine L Worth; Tammy M K Cheng; Tom L Blundell
Journal:  J Cardiovasc Transl Res       Date:  2011-02-25       Impact factor: 4.132

8.  Dominance genetic variation contributes little to the missing heritability for human complex traits.

Authors:  Zhihong Zhu; Andrew Bakshi; Anna A E Vinkhuyzen; Gibran Hemani; Sang Hong Lee; Ilja M Nolte; Jana V van Vliet-Ostaptchouk; Harold Snieder; Tonu Esko; Lili Milani; Reedik Mägi; Andres Metspalu; William G Hill; Bruce S Weir; Michael E Goddard; Peter M Visscher; Jian Yang
Journal:  Am J Hum Genet       Date:  2015-02-12       Impact factor: 11.025

9.  One Hundred Years of Linkage Disequilibrium.

Authors:  John A Sved; William G Hill
Journal:  Genetics       Date:  2018-07       Impact factor: 4.562

10.  Inferring linkage disequilibrium from non-random samples.

Authors:  Minghui Wang; Tianye Jia; Ning Jiang; Lin Wang; Xiaohua Hu; Zewei Luo
Journal:  BMC Genomics       Date:  2010-05-26       Impact factor: 3.969

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