Literature DB >> 9433614

Segregation and linkage analysis of a quantitative versus a qualitative trait in large pedigrees.

J Graham1, N H Chapman, K A Goddard, E L Goode, E M Wijsman, G P Jarvik.   

Abstract

Goals of this analysis were to map loci contributing to variation in the quantitative trait, Q1, using the lod-score method on data set 1, and to explore the difference in power to map genes when considering the discrete vs. quantitative phenotype. Segregation analyses, after covariate adjustment, correctly suggested two contributing loci. The major gene on chromosome 5 was successfully mapped, but the major gene on chromosome 8 was not. Comparison of linkage analyses for the qualitative and quantitative traits confirmed that the quantitative trait is more informative, suggesting that localizing disease genes with a qualitative trait would be more difficult in these pedigrees.

Mesh:

Year:  1997        PMID: 9433614     DOI: 10.1002/(SICI)1098-2272(1997)14:6<999::AID-GEPI73>3.0.CO;2-F

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


  4 in total

1.  Genomewide scan for real-word reading subphenotypes of dyslexia: novel chromosome 13 locus and genetic complexity.

Authors:  Robert P Igo; Nicola H Chapman; Virginia W Berninger; Mark Matsushita; Zoran Brkanac; Joseph H Rothstein; Ted Holzman; Kathleen Nielsen; Wendy H Raskind; Ellen M Wijsman
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2006-01-05       Impact factor: 3.568

2.  Linkage of low-density lipoprotein size to the lipoprotein lipase gene in heterozygous lipoprotein lipase deficiency.

Authors:  J E Hokanson; J D Brunzell; G P Jarvik; E M Wijsman; M A Austin
Journal:  Am J Hum Genet       Date:  1999-02       Impact factor: 11.025

3.  Genetic investigation of quantitative traits related to autism: use of multivariate polygenic models with ascertainment adjustment.

Authors:  Yun Ju Sung; Geraldine Dawson; Jeffrey Munson; Annette Estes; Gerard D Schellenberg; Ellen M Wijsman
Journal:  Am J Hum Genet       Date:  2004-11-16       Impact factor: 11.025

4.  Multiple genome-wide analyses of smoking behavior in the Framingham Heart Study.

Authors:  Ellen L Goode; Michael D Badzioch; Helen Kim; France Gagnon; Laura S Rozek; Karen L Edwards; Gail P Jarvik
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  4 in total

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