Literature DB >> 10909856

Pedigree tests of transmission disequilibrium.

G R Abecasis1, W O Cookson, L R Cardon.   

Abstract

High-resolution mapping is essential for the positional cloning of complex disease genes. In outbred populations, linkage disequilibrium is expected to extend for short distances and could provide a powerful fine-mapping tool. Current family-based association tests use nuclear family members to define allelic transmission and controls, but ignore other types of relatives. Here we construct a general approach for scoring allelic transmission that accommodates families of any size and uses all available genotypic information. Family data allows for the construction of an expected genotype for every non-founder, and orthogonal deviates from this expectation are a measure of allelic transmission. These allelic transmission scores can be used to extend previously described tests of linkage disequilibrium for dichotomous or quantitative traits. Some of these tests are illustrated, together with a permutation framework for estimating exact significance levels. Simulation studies are used to investigate power and error rates of the approach. As a practical application, the method is used to investigate the relationship between circulating angiotensin-1 converting enzyme (ACE) levels and polymorphisms in the ACE gene using previously published data.

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Year:  2000        PMID: 10909856     DOI: 10.1038/sj.ejhg.5200494

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  128 in total

1.  Correcting for a potential bias in the pedigree disequilibrium test.

Authors:  E R Martin; M P Bass; N L Kaplan
Journal:  Am J Hum Genet       Date:  2001-04       Impact factor: 11.025

2.  The power to detect linkage disequilibrium with quantitative traits in selected samples.

Authors:  G R Abecasis; W O Cookson; L R Cardon
Journal:  Am J Hum Genet       Date:  2001-05-08       Impact factor: 11.025

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4.  Increasing the power and efficiency of disease-marker case-control association studies through use of allele-sharing information.

Authors:  Tasha E Fingerlin; Michael Boehnke; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2004-02-02       Impact factor: 11.025

5.  Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations.

Authors:  David V Conti; John S Witte
Journal:  Am J Hum Genet       Date:  2003-01-13       Impact factor: 11.025

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Authors:  Qing-Yang Huang; Hui Shen; Hong-Yi Deng; Theresa Conway; K Michael Davies; Jin-Long Li; Robert R Recker; Hong-Wen Deng
Journal:  J Hum Genet       Date:  2003-07-26       Impact factor: 3.172

7.  Accounting for linkage in family-based tests of association with missing parental genotypes.

Authors:  Eden R Martin; Meredyth P Bass; Elizabeth R Hauser; Norman L Kaplan
Journal:  Am J Hum Genet       Date:  2003-10-09       Impact factor: 11.025

8.  Accurate and flexible power calculations on the spot: Applications to genomic research.

Authors:  Hemant K Tiwari; Thomas Birkner; Ankur Moondan; Shiju Zhang; Grier P Page; Amit Patki; David B Allison
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

9.  A family-based association test to detect gene-gene interactions in the presence of linkage.

Authors:  Lizzy De Lobel; Lutgarde Thijs; Tatiana Kouznetsova; Jan A Staessen; Kristel Van Steen
Journal:  Eur J Hum Genet       Date:  2012-03-14       Impact factor: 4.246

10.  Molecular prioritization strategies to identify functional genetic variants in the cardiovascular disease-associated expression QTL Vanin-1.

Authors:  Belinda J Kaskow; Luke A Diepeveen; J Michael Proffitt; Alexander J Rea; Daniela Ulgiati; John Blangero; Eric K Moses; Lawrence J Abraham
Journal:  Eur J Hum Genet       Date:  2013-09-18       Impact factor: 4.246

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