Literature DB >> 10597408

Quantitative trait locus detection using combined linkage/disequilibrium analysis.

L Almasy1, J T Williams, T D Dyer, J Blangero.   

Abstract

We describe an extension of the variance component linkage method that augments identity-by-descent information from relatives with identity-by-state information from unrelated individuals, exploiting disequilibrium to facilitate fine mapping of quantitative trait loci. An advantage of the combined linkage/disequilibrium test is that it detects association only in the presence of linkage and is not biased by population stratification.

Mesh：

Year:  1999        PMID： 10597408     DOI： 10.1002/gepi.1370170706

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


  10 in total

1.  Fine mapping of complex trait genes combining pedigree and linkage disequilibrium information: a Bayesian unified framework.

Authors:  Miguel Pérez-Enciso
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

2.  Distribution of the number of false discoveries in large-scale family-based association testing with application to the association between PTPN1 and hypertension and obesity.

Authors:  Wen-Chang Wang; Chao A Hsiung; Lan-Chao Wang; Lee-Ming Chuang; Thomas Quertermous; I-Shou Chang
Journal:  Hum Genet       Date:  2010-12-29       Impact factor: 4.132

3.  Combined linkage and association mapping of quantitative trait loci by multiple markers.

Authors:  Jeesun Jung; Ruzong Fan; Lei Jin
Journal:  Genetics       Date:  2005-03-31       Impact factor: 4.562

4.  A novel method, the Variant Impact On Linkage Effect Test (VIOLET), leads to improved identification of causal variants in linkage regions.

Authors:  Lisa J Martin; Lili Ding; Xue Zhang; Ahmed H Kissebah; Michael Olivier; D Woodrow Benson
Journal:  Eur J Hum Genet       Date:  2013-06-05       Impact factor: 4.246

5.  The investigation into CYP2E1 in relation to the level of response to alcohol through a combination of linkage and association analysis.

Authors:  Amy Webb; Penelope A Lind; Jelger Kalmijn; Heidi S Feiler; Tom L Smith; Marc A Schuckit; Kirk Wilhelmsen
Journal:  Alcohol Clin Exp Res       Date:  2010-10-19       Impact factor: 3.455

6.  Linkage disequilibrium between the beta frequency of the human EEG and a GABAA receptor gene locus.

Authors:  Bernice Porjesz; Laura Almasy; Howard J Edenberg; Kongming Wang; David B Chorlian; Tatiana Foroud; Alison Goate; John P Rice; Sean J O'Connor; John Rohrbaugh; Samuel Kuperman; Lance O Bauer; Raymond R Crowe; Marc A Schuckit; Victor Hesselbrock; P Michael Conneally; Jay A Tischfield; Ting-Kai Li; Theodore Reich; Henri Begleiter
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-12       Impact factor: 11.205

7.  Single nucleotide polymorphisms in protein tyrosine phosphatase 1beta (PTPN1) are associated with essential hypertension and obesity.

Authors:  Michael Olivier; Chao A Hsiung; Lee-Ming Chuang; Lo-Tone Ho; Chih-Tai Ting; Valerie I Bustos; Teresa M Lee; Anniek De Witte; Yii-Der I Chen; Richard Olshen; Beatriz Rodriguez; Chi-Chung Wen; David R Cox
Journal:  Hum Mol Genet       Date:  2004-06-30       Impact factor: 6.150

8.  Variations in GABRA2, encoding the alpha 2 subunit of the GABA(A) receptor, are associated with alcohol dependence and with brain oscillations.

Authors:  Howard J Edenberg; Danielle M Dick; Xiaoling Xuei; Huijun Tian; Laura Almasy; Lance O Bauer; Raymond R Crowe; Alison Goate; Victor Hesselbrock; Kevin Jones; Jennifer Kwon; Ting-Kai Li; John I Nurnberger; Sean J O'Connor; Theodore Reich; John Rice; Marc A Schuckit; Bernice Porjesz; Tatiana Foroud; Henri Begleiter
Journal:  Am J Hum Genet       Date:  2004-03-12       Impact factor: 11.025

9.  Including endophenotypes as covariates in variance component heritability and linkage analysis.

Authors:  Julia N Bailey
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

10.  Linear models for joint association and linkage QTL mapping.

Authors:  Andrés Legarra; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-09-29       Impact factor: 4.297
  10 in total

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