Literature DB >> 11793769

Combined multipoint analysis of multiple asthma data sets based on the posterior probability of linkage.

K Wang1, J Huang, M Logue, V Vieland.   

Abstract

In the presence of multiple data sets, an important issue is how to best measure the overall evidence for linkage across data sets. Previously, we advocated the use of the posterior probability of linkage (PPL) for this purpose [Vieland, Am J Hum Genet 63:947-54, 1998; Wang et al., Ann Hum Genet 64:533-53, 2000; Vieland et al., Hum Hered 51:199-208, 2001]. In this paper, we propose a critical modification of our earlier two-point PPL in order to handle multiple-point calculations. The proposed modification is then applied to the genome-screen data sets and the COAG chromosome 5 data sets provided by GAW 12. We find linkage signals at location (in the order of the strength of the signal) 45 cM on chromosome 6, 23 cM on chromosome 20, and 30 cM on chromosome 1. No linkage signal is found on chromosome 5.

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Year:  2001        PMID: 11793769     DOI: 10.1002/gepi.2001.21.s1.s73

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


  3 in total

1.  Fast and accurate calculation of a computationally intensive statistic for mapping disease genes.

Authors:  Sang-Cheol Seok; Michael Evans; Veronica J Vieland
Journal:  J Comput Biol       Date:  2009-05       Impact factor: 1.479

2.  Genome-wide linkage analysis of blood pressure under locus heterogeneity.

Authors:  Xinqun Yang; Kai Wang; Jian Huang; Veronica J Vieland
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

3.  A model-integrated multipoint Bayesian analysis of hypertension in the Framingham Heart Study data finds little evidence of linkage.

Authors:  Mark W Logue; Rhinda J Goedken; Veronica J Vieland
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  3 in total

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