Literature DB >> 11992269

The power of multivariate quantitative-trait loci linkage analysis is influenced by the correlation between variables.

David M Evans.   

Abstract

Mesh：

Year:  2002        PMID： 11992269      PMCID： PMC379151          DOI： 10.1086/340850

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN： 0002-9297            Impact factor:   11.025


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  5 in total

1.  Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

Authors:  P C Sham; S S Cherny; S Purcell; J K Hewitt
Journal:  Am J Hum Genet       Date:  2000-04-12       Impact factor: 11.025

2.  Comparison of multivariate tests for genetic linkage.

Authors:  C Amos; M de Andrade; D Zhu
Journal:  Hum Hered       Date:  2001       Impact factor: 0.444

3.  Multiple phenotype modeling in gene-mapping studies of quantitative traits: power advantages.

Authors:  D B Allison; B Thiel; P St Jean; R C Elston; M C Infante; N J Schork
Journal:  Am J Hum Genet       Date:  1998-10       Impact factor: 11.025

4.  Using multivariate genetic modeling to detect pleiotropic quantitative trait loci.

Authors:  D I Boomsma
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

Review 5.  A twin-pronged attack on complex traits.

Authors:  N Martin; D Boomsma; G Machin
Journal:  Nat Genet       Date:  1997-12       Impact factor: 38.330
  5 in total
  19 in total

1.  Use of multivariate linkage analysis for dissection of a complex cognitive trait.

Authors:  Angela J Marlow; Simon E Fisher; Clyde Francks; I Laurence MacPhie; Stacey S Cherny; Alex J Richardson; Joel B Talcott; John F Stein; Anthony P Monaco; Lon R Cardon
Journal:  Am J Hum Genet       Date:  2003-02-13       Impact factor: 11.025

2.  Quantitative trait loci for peripheral blood cell counts: a study in baboons.

Authors:  Angéline Bertin; Michael C Mahaney; Laura A Cox; Jeffrey Rogers; John L VandeBerg; Carlo Brugnara; Orah S Platt
Journal:  Mamm Genome       Date:  2007-06-08       Impact factor: 2.957

3.  Calculating asymptotic significance levels of the constrained likelihood ratio test with application to multivariate genetic linkage analysis.

Authors:  Nathan J Morris; Robert Elston; Catherine M Stein
Journal:  Stat Appl Genet Mol Biol       Date:  2009-09-17

4.  Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models under complete pleiotropy.

Authors:  Summer S Han; Joseph T Chang
Journal:  Biostatistics       Date:  2009-12-22       Impact factor: 5.899

5.  Simultaneous estimation of QTL parameters for mapping multiple traits.

Authors:  Liang Tong; Xiaoxia Sun; Ying Zhou
Journal:  J Genet       Date:  2018-03       Impact factor: 1.166

6.  Bivariate genome-wide scan for metabolic phenotypes in non-diabetic Chinese individuals from the Stanford, Asia and Pacific Program of Hypertension and Insulin Resistance Family Study.

Authors:  Y-F Chiu; L-M Chuang; H-Y Kao; L-T Ho; C-T Ting; Y-J Hung; Y-D Chen; T Donlon; J D Curb; T Quertermous; C A Hsiung
Journal:  Diabetologia       Date:  2007-06-20       Impact factor: 10.122

7.  An integrated phenomic approach to multivariate allelic association.

Authors:  Sarah Elizabeth Medland; Michael Churton Neale
Journal:  Eur J Hum Genet       Date:  2009-08-26       Impact factor: 4.246

8.  Bivariate association analyses for the mixture of continuous and binary traits with the use of extended generalized estimating equations.

Authors:  Jianfeng Liu; Yufang Pei; Chris J Papasian; Hong-Wen Deng
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

9.  Multiple-trait quantitative trait locus mapping with incomplete phenotypic data.

Authors:  Zhigang Guo; James C Nelson
Journal:  BMC Genet       Date:  2008-12-05       Impact factor: 2.797

10.  Latent common genetic components of obesity traits.

Authors:  B O Tayo; R Harders; A Luke; X Zhu; R S Cooper
Journal:  Int J Obes (Lond)       Date:  2008-10-21       Impact factor: 5.095
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