Literature DB >> 9433612

A variance component approach to dichotomous trait linkage analysis using a threshold model.

R Duggirala1, J T Williams, S Williams-Blangero, J Blangero.   

Abstract

We developed and utilized a multipoint variance components method to test for linkage between a disease trait and markers on chromosome 5 in the simulated data provided in GAW10 Problem 2. We demonstrated that the discrete trait variance components method recovers unbiased estimates of quantitative trait locus (QTL) location and reasonable estimates of effect size. We also showed that dichotomization of (a continuous trait such as) Q1 diminished the power to detect linkage compared to direct analysis of Q1, and that extended pedigree analyses provided superior power to detect linkage compared to those in nuclear families.

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Year:  1997        PMID: 9433612     DOI: 10.1002/(SICI)1098-2272(1997)14:6<987::AID-GEPI71>3.0.CO;2-G

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


  77 in total

1.  Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. I. Likelihood formulation and simulation results.

Authors:  J T Williams; P Van Eerdewegh; L Almasy; J Blangero
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

2.  Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure.

Authors:  D B Allison; M C Neale; R Zannolli; N J Schork; C I Amos; J Blangero
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

3.  Sampling strategies for model free linkage analyses of quantitative traits: implications for sib pair studies of reading and spelling disabilities to minimize the total study cost.

Authors:  A Ziegler
Journal:  Eur Child Adolesc Psychiatry       Date:  1999       Impact factor: 4.785

4.  Bayesian mapping of quantitative trait loci under the identity-by-descent-based variance component model.

Authors:  N Yi; S Xu
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

5.  Human pedigree-based quantitative-trait-locus mapping: localization of two genes influencing HDL-cholesterol metabolism.

Authors:  L Almasy; J E Hixson; D L Rainwater; S Cole; J T Williams; M C Mahaney; J L VandeBerg; M P Stern; J W MacCluer; J Blangero
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

6.  Evidence of linkage of HDL level variation to APOC3 in two samples with different ascertainment.

Authors:  France Gagnon; Gail P Jarvik; Arno G Motulsky; Samir S Deeb; John D Brunzell; Ellen M Wijsman
Journal:  Hum Genet       Date:  2003-08-29       Impact factor: 4.132

7.  Pleiotropic effects of a chromosome 3 locus on speech-sound disorder and reading.

Authors:  Catherine M Stein; James H Schick; H Gerry Taylor; Lawrence D Shriberg; Christopher Millard; Amy Kundtz-Kluge; Karlie Russo; Nori Minich; Amy Hansen; Lisa A Freebairn; Robert C Elston; Barbara A Lewis; Sudha K Iyengar
Journal:  Am J Hum Genet       Date:  2004-01-20       Impact factor: 11.025

8.  Genetic factors influence serological measures of common infections.

Authors:  Rohina Rubicz; Charles T Leach; Ellen Kraig; Nikhil V Dhurandhar; Ravindranath Duggirala; John Blangero; Robert Yolken; Harald H H Göring
Journal:  Hum Hered       Date:  2011-10-11       Impact factor: 0.444

9.  The path to open-angle glaucoma gene discovery: endophenotypic status of intraocular pressure, cup-to-disc ratio, and central corneal thickness.

Authors:  Jac Charlesworth; Patricia L Kramer; Tom Dyer; Victor Diego; John R Samples; Jamie E Craig; David A Mackey; Alex W Hewitt; John Blangero; Mary K Wirtz
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-03-17       Impact factor: 4.799

10.  Shared genetic factors influence risk for bipolar disorder and alcohol use disorders.

Authors:  N Carmiol; J M Peralta; L Almasy; J Contreras; A Pacheco; M A Escamilla; E E M Knowles; H Raventós; D C Glahn
Journal:  Eur Psychiatry       Date:  2013-12-08       Impact factor: 5.361

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