Literature DB >> 9433600

Haplotype sharing analysis in affected individuals from nuclear families with at least one affected offspring.

M A Van der Meulen1, G J te Meerman.   

Abstract

In diseases with a complex mode of inheritance, families with multiple affected individuals are difficult to ascertain. The haplotype sharing statistic (HSS) uses (hidden) co-ancestry between affected individuals from a founder population. These affected individuals will likely not only share the same mutation(s), but also the surrounding haplotype. We show that this method gives a low false positive rate, but does not detect genes in the nuclear families of Problem 2A of the GAW data. We also give evidence based on simulations and empirical studies in real population based data that the HSS method has statistical power.

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Year:  1997        PMID: 9433600     DOI: 10.1002/(SICI)1098-2272(1997)14:6<915::AID-GEPI59>3.0.CO;2-P

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


  24 in total

1.  On the identification of disease mutations by the analysis of haplotype similarity and goodness of fit.

Authors:  Jung-Ying Tzeng; B Devlin; Larry Wasserman; Kathryn Roeder
Journal:  Am J Hum Genet       Date:  2003-02-27       Impact factor: 11.025

2.  Pseudosibship methods in the case-parents design.

Authors:  Zhaoxia Yu; Li Deng
Journal:  Stat Med       Date:  2011-09-23       Impact factor: 2.373

3.  Regression-based association analysis with clustered haplotypes through use of genotypes.

Authors:  Jung-Ying Tzeng; Chih-Hao Wang; Jau-Tsuen Kao; Chuhsing Kate Hsiao
Journal:  Am J Hum Genet       Date:  2005-12-19       Impact factor: 11.025

4.  An entropy-based statistic for genomewide association studies.

Authors:  Jinying Zhao; Eric Boerwinkle; Momiao Xiong
Journal:  Am J Hum Genet       Date:  2005-05-09       Impact factor: 11.025

5.  Detecting disease gene in DNA haplotype sequences by nonparametric dissimilarity test.

Authors:  Ao Yuan; Qingqi Yue; Victor Apprey; George Bonney
Journal:  Hum Genet       Date:  2006-06-29       Impact factor: 4.132

6.  Haplotype-sharing analysis for alcohol dependence based on quantitative traits and the Mantel statistic.

Authors:  Andre Kleensang; Daniel Franke; Inke R König; Andreas Ziegler
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

7.  Shared genomic segment analysis. Mapping disease predisposition genes in extended pedigrees using SNP genotype assays.

Authors:  A Thomas; N J Camp; J M Farnham; K Allen-Brady; L A Cannon-Albright
Journal:  Ann Hum Genet       Date:  2007-12-18       Impact factor: 1.670

Review 8.  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

9.  Haplotype-based association analysis via variance-components score test.

Authors:  Jung-Ying Tzeng; Daowen Zhang
Journal:  Am J Hum Genet       Date:  2007-10-03       Impact factor: 11.025

10.  Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypes.

Authors:  Wan-Yu Lin; Daniel J Schaid
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

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