Literature DB >> 8314065

Use of the regressive models in linkage analysis of quantitative traits.

F Demenais1, M Lathrop.   

Abstract

Use of the regressive models to account for residual familial correlations in linkage analysis of complex quantitative traits can increase the power to detect linkage. This is especially observed when the effect of the gene to be mapped is small or when the residual correlations are substantial.

Mesh：

Year:  1993        PMID： 8314065     DOI： 10.1002/gepi.1370100643

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


  5 in total

1.  Some capabilities for model-based and model-free linkage analysis using the program package S.A.G.E. (Statistical Analysis for Genetic Epidemiology).

Authors:  A H Schnell; X Sun; R P Igo; R C Elston
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

Review 2.  Prospects for the genetics of human longevity.

Authors:  F Schächter; D Cohen; T Kirkwood
Journal:  Hum Genet       Date:  1993-07       Impact factor: 4.132

3.  Evidence for a dominant major gene conferring predisposition to hepatitis C virus infection in endemic conditions.

Authors:  Cédric Laouénan; Sabine Plancoulaine; Mostafa Kamal Mohamed; Naglaa Arafa; Iman Bakr; Mohamed Abdel-Hamid; Claire Rekacewicz; Dorothée Obach; Arnaud Fontanet; Laurent Abel
Journal:  Hum Genet       Date:  2009-07-23       Impact factor: 4.132

4.  Segregation and linkage analysis of serum angiotensin I-converting enzyme levels: evidence for two quantitative-trait loci.

Authors:  C A McKenzie; C Julier; T Forrester; N McFarlane-Anderson; B Keavney; G M Lathrop; P J Ratcliffe; M Farrall
Journal:  Am J Hum Genet       Date:  1995-12       Impact factor: 11.025

5.  A genome-wide search replicates evidence of a quantitative trait locus for circulating angiotensin I-converting enzyme (ACE) unlinked to the ACE gene.

Authors:  Colin A McKenzie; Xiaofeng Zhu; Terrence E Forrester; Amy Luke; Adebowale A Adeyemo; Nourdine Bouzekri; Richard S Cooper
Journal:  BMC Med Genomics       Date:  2008-06-10       Impact factor: 3.063
  5 in total

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