Literature DB >> 10721613

Quantitative trait locus mapping using human pedigrees.

J Blangero1, J T Williams, L Almasy.   

Abstract

In the past decade phenomenal progress has been made in molecular and statistical genetic methods for localizing quantitative trait loci. Because of these advances, we can anticipate a long period of active genetic research in which the genes influencing human quantitative variability will be mapped and their effects accurately evaluated. Here, we review the current state of the science in statistical genetic methods for quantitative trait linkage analysis. In particular, we detail a variance component-based framework for localizing quantitative trait loci and for accurately estimating their relative effect sizes. Attention is paid to the optimal design of human family studies for localizing genes of small to moderate effect. In addition, methods and strategies are described for dealing with the most important complications of quantitative variation, including the assessment of genotype x environment interaction and epistasis.

Entities:  

Mesh:

Year:  2000        PMID: 10721613

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  22 in total

1.  Broad and narrow heritabilities of quantitative traits in a founder population.

Authors:  M Abney; M S McPeek; C Ober
Journal:  Am J Hum Genet       Date:  2001-04-10       Impact factor: 11.025

2.  Large upward bias in estimation of locus-specific effects from genomewide scans.

Authors:  H H Göring; J D Terwilliger; J Blangero
Journal:  Am J Hum Genet       Date:  2001-10-09       Impact factor: 11.025

3.  The power to detect genetic linkage for quantitative traits in the Utah CEPH pedigrees.

Authors:  Alka Malhotra; Kevin Cromer; Mark F Leppert; Sandra J Hasstedt
Journal:  J Hum Genet       Date:  2005-01-29       Impact factor: 3.172

4.  Using dominance relationship coefficients based on linkage disequilibrium and linkage with a general complex pedigree to increase mapping resolution.

Authors:  S H Lee; J H J Van der Werf
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

5.  Fine mapping of multiple interacting quantitative trait loci using combined linkage disequilibrium and linkage information.

Authors:  Sang Hong Lee; J H Julius van der Werf
Journal:  J Zhejiang Univ Sci B       Date:  2007-11       Impact factor: 3.066

6.  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

Review 7.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

Authors:  David C Glahn; Paul M Thompson; John Blangero
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

8.  A high-density association screen of 155 ion transport genes for involvement with common migraine.

Authors:  Dale R Nyholt; K Steven LaForge; Mikko Kallela; Kirsi Alakurtti; Verneri Anttila; Markus Färkkilä; Eija Hämaläinen; Jaakko Kaprio; Mari A Kaunisto; Andrew C Heath; Grant W Montgomery; Hartmut Göbel; Unda Todt; Michel D Ferrari; Lenore J Launer; Rune R Frants; Gisela M Terwindt; Boukje de Vries; W M Monique Verschuren; Jan Brand; Tobias Freilinger; Volker Pfaffenrath; Andreas Straube; Dennis G Ballinger; Yiping Zhan; Mark J Daly; David R Cox; Martin Dichgans; Arn M J M van den Maagdenberg; Christian Kubisch; Nicholas G Martin; Maija Wessman; Leena Peltonen; Aarno Palotie
Journal:  Hum Mol Genet       Date:  2008-08-02       Impact factor: 6.150

9.  PRKCA: a positional candidate gene for body mass index and asthma.

Authors:  Amy Murphy; Kelan G Tantisira; Manuel E Soto-Quirós; Lydiana Avila; Barbara J Klanderman; Stephen Lake; Scott T Weiss; Juan C Celedón
Journal:  Am J Hum Genet       Date:  2009-07-02       Impact factor: 11.025

10.  Comprehensive evaluation of apolipoprotein H gene (APOH) variation identifies novel associations with measures of lipid metabolism in GENOA.

Authors:  Magalie S Leduc; Lawrence C Shimmin; Kathy L E Klos; Craig Hanis; Eric Boerwinkle; James E Hixson
Journal:  J Lipid Res       Date:  2008-08-01       Impact factor: 5.922

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.