Literature DB >> 7813897

Affected sib pair identity by state analyses.

G Thomson1, U Motro.   

Abstract

Four methods using identity by state (IBS) data from affected sib pairs are compared for their ability to detect linkage between a diallelic marker and disease. A joint null hypothesis of no linkage and no linkage disequilibrium between the marker and disease must be considered. Two tests have undesirable properties in the case of linkage disequilibrium. Which of the other two tests has more power is dependent on the presence or not of linkage disequilibrium. The procedure of choice when possible is to type parents of affected sib pairs: the null hypothesis of no linkage can then be tested using identity by descent (IBD) values from informative parents, and the null hypothesis of no marker association with disease (linkage equilibrium) can be tested independently using the marker allele frequencies in the affected sib pairs.

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Year:  1994        PMID: 7813897     DOI: 10.1002/gepi.1370110405

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


  4 in total

1.  A general statistical model for detecting complex-trait loci by using affected relative pairs in a genome search.

Authors:  S L Smalley; J A Woodward; C G Palmer
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

2.  Candidate-gene studies of the atherogenic lipoprotein phenotype: a sib-pair linkage analysis of DZ women twins.

Authors:  M A Austin; P J Talmud; L A Luong; L Haddad; I N Day; B Newman; K L Edwards; R M Krauss; S E Humphries
Journal:  Am J Hum Genet       Date:  1998-02       Impact factor: 11.025

3.  Analysis of complex human genetic traits: an ordered-notation method and new tests for mode of inheritance.

Authors:  G Thomson
Journal:  Am J Hum Genet       Date:  1995-08       Impact factor: 11.025

4.  Visualization of shared genomic regions and meiotic recombination in high-density SNP data.

Authors:  Elisha D O Roberson; Jonathan Pevsner
Journal:  PLoS One       Date:  2009-08-21       Impact factor: 3.240

  4 in total

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