Literature DB >> 10597480

Meta-analysis of linkage studies.

J A Badner1, L R Goldin.   

Abstract

Lander and Kruglyak [1995] gave guidelines for interpreting linkage results based on estimating how often a particular threshold for significance would be exceeded by chance in a single genome scan. What is unknown is how often two or more genome scans would exceed a particular threshold within the same region. We develop theoretical estimates of these values and compare these with the empirical estimates derived from the GAW11 data. For single-point analysis, the theoretical estimates predict the empirical estimates. For multipoint analysis, the theoretical values overestimate what is observed. For both single point and multipoint, modest p-values within a single genome scan may give highly significant results when replicated in the same region in other scans.

Mesh:

Year:  1999        PMID: 10597480     DOI: 10.1002/gepi.1370170778

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


  3 in total

1.  Genomewide scans of complex human diseases: true linkage is hard to find.

Authors:  J Altmüller; L J Palmer; G Fischer; H Scherb; M Wjst
Journal:  Am J Hum Genet       Date:  2001-09-14       Impact factor: 11.025

2.  Meta-analysis of genetic-linkage analysis of quantitative-trait loci.

Authors:  Carol J Etzel; Rudy Guerra
Journal:  Am J Hum Genet       Date:  2002-05-28       Impact factor: 11.025

3.  Further evidence that the chromogranin B gene confers predisposition to schizophrenia: a family-based association study in Chinese.

Authors:  S Wu; J Ma; Q Xing; Y Xu; J Meng; D Cao; G Feng; L He
Journal:  J Neural Transm (Vienna)       Date:  2006-12-04       Impact factor: 3.575

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.