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Multipoint linkage analysis using the weighted‐pairwise correlation statistic
Author(s) -
Commenges Daniel,
BeurtonAimar Marie
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170783
Subject(s) - statistic , pairwise comparison , linkage (software) , statistics , correlation , mathematics , biology , genetics , gene , geometry
The weighted pairwise correlation (WPC) approach provides simple and flexible non‐parametric tests for genetic linkage which may be adapted to qualitative, quantitative or age‐dependent traits. Although this statistic has often been used with identity‐by‐state (IBS) information, there is much to gain by using multipoint identity‐by‐descent (IBD) information. The purpose of this paper is to use the unified multipoint approach of Kruglyak et al. [1996] with the WPC statistic. We used the simulated data of a complex disease proposed in GAW11 (problem 2) to validate this approach and to compare the multipoint WPC to the EBS‐WPC and to the multilocus approach using the conventional non‐parametric statistics S pairs and S all . The results suggest that the multipoint WPC may be the most powerful approach.