Literature DB >> 12933546

Mapping quantitative trait loci in oligogenic models.

H K Tang1, D Siegmund.   

Abstract

We discuss strategies for mapping quantitative trait loci with emphasis on certain issues of study design that have recently received attention: e.g. genotyping only selected pedigrees and the comparative value of large pedigrees versus sib pairs. We use a standard variance components model and a parametrization of the genetic effects in which the 'segregation' parameters are locally orthogonal to the 'linkage' parameters. This permits simple explicit expressions for the expectation of the score statistic, which we use to compare the power of different strategies. We also discuss robustness of the score statistic.

Year:  2001        PMID: 12933546     DOI: 10.1093/biostatistics/2.2.147

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  31 in total

1.  A score-statistic approach for the mapping of quantitative-trait loci with sibships of arbitrary size.

Authors:  K Wang; J Huang
Journal:  Am J Hum Genet       Date:  2001-12-27       Impact factor: 11.025

2.  Upward bias in estimation of genetic effects.

Authors:  D Siegmund
Journal:  Am J Hum Genet       Date:  2002-10-17       Impact factor: 11.025

3.  Regression-based quantitative-trait-locus mapping in the 21st century.

Authors:  Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2002-08       Impact factor: 11.025

4.  Biography of David O. Siegmund.

Authors:  David Appell
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-17       Impact factor: 11.205

5.  A powerful and robust new linkage statistic for discordant sibling pairs.

Authors:  Jin P Szatkiewicz; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2004-09-13       Impact factor: 11.025

6.  Mapping quantitative traits with random and with ascertained sibships.

Authors:  Jie Peng; D Siegmund
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-14       Impact factor: 11.205

7.  Information and effective number of meioses in linkage analysis.

Authors:  Ola Hössjer
Journal:  J Math Biol       Date:  2004-11-11       Impact factor: 2.259

8.  A powerful and robust method for mapping quantitative trait loci in general pedigrees.

Authors:  G Diao; D Y Lin
Journal:  Am J Hum Genet       Date:  2005-05-25       Impact factor: 11.025

9.  Robust score statistics for QTL linkage analysis.

Authors:  Samsiddhi Bhattacharjee; Chia-Ling Kuo; Nandita Mukhopadhyay; Guy N Brock; Daniel E Weeks; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2008-02-21       Impact factor: 11.025

10.  Recent advances in human quantitative-trait-locus mapping: comparison of methods for discordant sibling pairs.

Authors:  Jin P Szatkiewicz; Karen T Cuenco; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2003-09-10       Impact factor: 11.025

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