Literature DB >> 9433571

Comparison of model-free linkage mapping strategies for the study of a complex trait.

C I Amos1, J Krushkal, T J Thiel, A Young, D K Zhu, E Boerwinkle, M de Andrade.   

Abstract

We compared several strategies for identifying and estimating effects from a genetic locus in the etiology of a complex trait. For our analyses we used data from simulated trait 1 and chromosome 5. Results from analysis of the first 20 replicates showed that a components of variance test provided considerably better power for identifying linkage than tests that consider pair differences. We also compared the power from constructing tests with a single marker, an approximate method using five markers jointly, or a multipoint analysis using all 25 markers on chromosome 5 jointly. Results from this analysis showed substantially better power when all markers were jointly used in the analysis. Results from considering all replicates showed that all methods of estimation provided maximal test statistics at the correct marker position, but the components of variance procedure provided more power to detect the correct position than other methods.

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Year:  1997        PMID: 9433571     DOI: 10.1002/(SICI)1098-2272(1997)14:6<743::AID-GEPI30>3.0.CO;2-O

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


  17 in total

1.  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

2.  Composite statistics for QTL mapping with moderately discordant sibling pairs.

Authors:  W F Forrest; E Feingold
Journal:  Am J Hum Genet       Date:  2000-04-07       Impact factor: 11.025

3.  Linkage analysis of extremely discordant and concordant sibling pairs identifies quantitative-trait loci that influence variation in the human personality trait neuroticism.

Authors:  Jan Fullerton; Matthew Cubin; Hemant Tiwari; Chenxi Wang; Amarjit Bomhra; Stuart Davidson; Sue Miller; Christopher Fairburn; Guy Goodwin; Michael C Neale; Simon Fiddy; Richard Mott; David B Allison; Jonathan Flint
Journal:  Am J Hum Genet       Date:  2003-02-20       Impact factor: 11.025

4.  Exact multipoint quantitative-trait linkage analysis in pedigrees by variance components.

Authors:  S C Pratt; M J Daly; L Kruglyak
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

5.  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

6.  An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.

Authors:  Kui Zhang; Howard Wiener; Mark Beasley; Varghese George; Christopher I Amos; David B Allison
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

7.  Linkage analyses of stimulant dependence, craving, and heavy use in American Indians.

Authors:  Cindy L Ehlers; Ian R Gizer; David A Gilder; Kirk C Wilhelmsen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2011-08-02       Impact factor: 3.568

8.  Forward-time simulation of realistic samples for genome-wide association studies.

Authors:  Bo Peng; Christopher I Amos
Journal:  BMC Bioinformatics       Date:  2010-09-01       Impact factor: 3.169

9.  Heritability and linkage analysis for carotid intima-media thickness: the family study of stroke risk and carotid atherosclerosis.

Authors:  Ralph L Sacco; Susan H Blanton; Susan Slifer; Ashley Beecham; Khaleelah Glover; Hannah Gardener; Liyong Wang; Edison Sabala; Suh-Hang Hank Juo; Tatjana Rundek
Journal:  Stroke       Date:  2009-06-04       Impact factor: 7.914

10.  Novel quantitative trait locus is mapped to chromosome 12p11 for left ventricular mass in Dominican families: the Family Study of Stroke Risk and Carotid Atherosclerosis.

Authors:  Liyong Wang; Ashley Beecham; Marco R Di Tullio; Susan Slifer; Susan H Blanton; Tatjana Rundek; Ralph L Sacco
Journal:  BMC Med Genet       Date:  2009-07-23       Impact factor: 2.103

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