title: Mathematical multi-locus approaches to localizing complex human trait genes.
abstract: Statistical analysis methods for gene mapping originated in counting recombinant and non-recombinant offspring, but have now progressed to sophisticated approaches for the mapping of complex trait genes. Here, we outline new statistical methods that capture the simultaneous effects of multiple gene loci and thereby achieve a more global view of gene action and interaction than is possible by traditional gene-by-gene analysis. We aim to show that the work of statisticians goes far beyond the running of computer programs.
authors.affiliation: Laboratory of Statistical Genetics, Rockefeller University, New York 10021, USA.
authors.forename: Josephine
authors.initials: J
authors.lastname: Hoh
authors.forename: Jurg
authors.initials: J
authors.lastname: Ott
mesh_terms: D001699:Biometry; D002874:Chromosome Mapping / Q000379:methods* / Q000706:statistics & numerical data; D005819:Genetic Markers; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008126:Lod Score; D008433:Mathematics; D008957:Models, Genetic; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D012985:Software Design
chemical_list: D005819:Genetic Markers