title: A survey of data mining methods for linkage disequilibrium mapping.
abstract: Data mining methods are gaining more interest as potential tools in mapping and identification of complex disease loci. The methods are well suited to large numbers of genetic marker loci produced by high-throughput laboratory analyses, but also might be useful for clarifying the phenotype definitions prior to more traditional mapping analyses. Here, the current data mining-based methods for linkage disequilibrium mapping and phenotype analyses are reviewed.
authors.affiliation: Department of Biological and Environmental Sciences, FI-00014, University of Helsinki, Finland. paivi.onkamo@helsinki.fi
authors.forename: Päivi
authors.initials: P
authors.lastname: Onkamo
authors.forename: Hannu
authors.initials: H
authors.lastname: Toivonen
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D005787:Gene Frequency; D006801:Humans; D015810:Linkage Disequilibrium; D012984:Software