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KELVIN: a software package for rigorous measurement of statistical evidence in human genetics
Journal article   Open access   Peer reviewed

KELVIN: a software package for rigorous measurement of statistical evidence in human genetics

Veronica J Vieland, Yungui Huang, Sang-Cheol Seok, John Burian, Umit Catalyurek, Jeffrey O'Connell, Alberto Segre and William Valentine-Cooper
Human heredity, Vol.72(4), pp.276-288
2011
DOI: 10.1159/000330634
PMCID: PMC3267994
PMID: 22189470
url
https://doi.org/10.1159/000330634View
Published (Version of record) Open Access

Abstract

This paper describes the software package KELVIN, which supports the PPL (posterior probability of linkage) framework for the measurement of statistical evidence in human (or more generally, diploid) genetic studies. In terms of scope, KELVIN supports two-point (trait-marker or marker-marker) and multipoint linkage analysis, based on either sex-averaged or sex-specific genetic maps, with an option to allow for imprinting; trait-marker linkage disequilibrium (LD), or association analysis, in case-control data, trio data, and/or multiplex family data, with options for joint linkage and trait-marker LD or conditional LD given linkage; dichotomous trait, quantitative trait and quantitative trait threshold models; and certain types of gene-gene interactions and covariate effects. Features and data (pedigree) structures can be freely mixed and matched within analyses. The statistical framework is specifically tailored to accumulate evidence in a mathematically rigorous way across multiple data sets or data subsets while allowing for multiple sources of heterogeneity, and KELVIN itself utilizes sophisticated software engineering to provide a powerful and robust platform for studying the genetics of complex disorders.
Chromosome Mapping Epistasis, Genetic Genetic Linkage Genomic Imprinting Humans Linkage Disequilibrium Models, Genetic Models, Statistical Pedigree Quantitative Trait Loci Software

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