Literature DB >> 3478282

Nonrandom segregation: uniformly most powerful test and related considerations.

P P Majumder1, N Pal.   

Abstract

When nonrandom segregation of marker haplotypes from parents to offspring is detected, leading to an increased parental haplotype sharing by affected offspring, an association between the disease and the marker loci is often inferred. In this paper, we provide the uniformly most powerful test for testing nonrandom segregation, and compare the power of this test with another test that is available in the literature. Other statistical properties of the two tests are also discussed. Further, since nonrandom segregation can result from linkage of the disease and marker loci, when the hypothesis of random segregation is rejected, it is of interest to estimate the underlying parameter assuming linkage. We provide an estimation procedure.

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Year:  1987        PMID: 3478282     DOI: 10.1002/gepi.1370040406

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


  4 in total

1.  Robustness and power of the maximum-likelihood-binomial and maximum-likelihood-score methods, in multipoint linkage analysis of affected-sibship data.

Authors:  L Abel; B Müller-Myhsok
Journal:  Am J Hum Genet       Date:  1998-08       Impact factor: 11.025

2.  Linkage detection adaptive to linkage disequilibrium: the disequilibrium maximum-likelihood-binomial test for affected-sibship data.

Authors:  J Huang; Y Jiang
Journal:  Am J Hum Genet       Date:  1999-12       Impact factor: 11.025

3.  Evidence for linkage of a new region (11p14) to eczema and allergic diseases.

Authors:  Michel Guilloud-Bataille; Emmanuelle Bouzigon; Isabella Annesi-Maesano; Jean Bousquet; Denis Charpin; Frédéric Gormand; Joëlle Hochez; Jocelyne Just; Arnaud Lemainque; Nicole Le Moual; Régis Matran; Françoise Neukirch; Marie-Pierre Oryszczyn; Evelyne Paty; Isabelle Pin; Daniel Vervloet; Francine Kauffmann; Mark Lathrop; Florence Demenais; Marie-Hélène Dizier
Journal:  Hum Genet       Date:  2007-10-18       Impact factor: 4.132

4.  Inclusion of unaffected sibs increases power in model-free linkage analysis of a behavioral trait.

Authors:  Sabine Plancoulaine; Alexandre Alcaïs; Yue Chen; Laurent Abel; France Gagnon
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

  4 in total

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