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Performance of the nonparametric linkage analysis using GENEHUNTER for a complicated genetic disease
Author(s) -
He Qimei,
Nemesure Barabara Berger,
Mendell Nancy Role
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.1370170799
Subject(s) - linkage (software) , penetrance , genetic linkage , nonparametric statistics , inheritance (genetic algorithm) , genetics , biology , set (abstract data type) , genome scan , computational biology , computer science , gene , statistics , mathematics , allele , phenotype , microsatellite , programming language
The nonparametric linkage (NPL) analysis of the GENEHUNTER program was applied to one set of the simulated data of Problem 2, GAW11. We conducted a straightforward screening of the genome to evaluate the performance of the NPL test, with respect to its ability to detect linkage on specific disease loci. Our findings indicate that disease genes were detected with relatively good power, despite the presence of a complex inheritance pattern. We found that the NPL test varies depending on penetrance rates and gene frequencies, however, we conclude that it is a useful tool for linkage analysis.