Detecting Pleiotropy and Epistasis Using Variance Components Linkage Analysis in jPAP | Zendy

Sandra J. Hasstedt | Zendy; Alun Thomas | Zendy

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Detecting Pleiotropy and Epistasis Using Variance Components Linkage Analysis in jPAP

Author(s) -

Sandra J. Hasstedt,

Alun Thomas

Publication year - 2011

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000331690

Subject(s) - epistasis , linkage (software) , pleiotropy , quantitative trait locus , biology , genetic linkage , inference , genetics , selection (genetic algorithm) , trait , computational biology , evolutionary biology , statistics , computer science , mathematics , phenotype , artificial intelligence , gene , programming language

jPAP (Java Pedigree Analysis Package) performs variance components linkage analysis of either quantitative or discrete traits. Multivariate linkage analysis of two or more traits (all quantitative, all discrete, or any combination) allows the inference of pleiotropy between the traits. The inclusion of multiple quantitative trait loci in linkage analysis allows the inference of epistasis between loci. A user-friendly graphical user interface facilitates the usage of jPAP.

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