Literature DB >> 11855958

Joint tests of linkage and association for quantitative traits.

D B Allison1, M C Neale.   

Abstract

In this paper we describe various study designs and analytic techniques for testing the joint hypothesis that a genetic marker is both linked to and associated with a quantitative phenotype. Issues of power and sampling are addressed. The distinction between methods that explicitly examine association and those that infer association by examining the distribution of allelic transmissions from a heterozygous parent is examined. Extensions to multivariate, multiallelic, and multilocus situations are addressed. Recent approaches that combine variance-components-based linkage analyses with joint tests of linkage in the presence of association for disentanglement of the linkage and association and the application of such methods to fine mapping are discussed. Finally, new classes of joint tests of linkage and association that do not require samples of related individuals are described.

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Year:  2001        PMID: 11855958     DOI: 10.1006/tpbi.2001.1544

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  3 in total

1.  Accounting for relatedness in family based genetic association studies.

Authors:  P F McArdle; J R O'Connell; T I Pollin; M Baumgarten; A R Shuldiner; P A Peyser; B D Mitchell
Journal:  Hum Hered       Date:  2007-06-14       Impact factor: 0.444

Review 2.  Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Hemant K Tiwari; Jill Barnholtz-Sloan; Nathan Wineinger; Miguel A Padilla; Laura K Vaughan; David B Allison
Journal:  Hum Hered       Date:  2008-03-31       Impact factor: 0.444

3.  A statistical framework for testing the causal effects of fetal drive.

Authors:  Nianjun Liu; Edward Archer; Vinodh Srinivasasainagendra; David B Allison
Journal:  Front Genet       Date:  2015-01-13       Impact factor: 4.599

  3 in total

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