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KELVIN: a software package for rigorous measurement of statistical evidence in human genetics
- Source :
- Human Heredity
- Publication Year :
- 2011
-
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.
- Subjects :
- Paper
Linkage disequilibrium
Genetic Linkage
Posterior probability
Quantitative Trait Loci
Quantitative trait locus
Biology
computer.software_genre
Linkage Disequilibrium
Association
KELVIN
Genomic Imprinting
Covariate
Genetics
Humans
Genetics (clinical)
Genetic association
Models, Statistical
Models, Genetic
Linkage
Statistical evidence
Quantitative traits
Chromosome Mapping
Epistasis, Genetic
Imprinting
Pedigree
Trait
Epistasis
Data mining
Threshold model
computer
Covariates
Software
Subjects
Details
- ISSN :
- 14230062
- Volume :
- 72
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Human heredity
- Accession number :
- edsair.doi.dedup.....081bd58ae06596c5a4533a6c4ac0930b