title: Maximum identity length contrast: a powerful method for susceptibility gene detection in isolated populations.
abstract: We report the results of our analysis of the Genetic Analysis Workshop 12 simulated data set. Focusing on the isolated populations, we compare the efficiency of a new method, the maximum identity length contrast statistic (MILC) with the maximum likelihood score (MLS) in a genome screen strategy. MILC is a method based on the contrast of haplotype identity between transmitted and nontransmitted haplotypes in trios. It uses information on linkage and association. We found that MILC allows the detection of a risk factor corresponding to candidate gene 1 where the MLS fails, though the same population replicates were used. Interestingly, the association between this risk factor and the disease could not have been detected with the TDT at a genome-wide level.
authors.affiliation: Genetic Epidemiology Unit, INSERM U535, Bâtiment Gregory Pincus, 80 Avenue du Général Leclerc 94276 Le Kremlin-Bicêtre, France.
authors.forename: C
authors.initials: C
authors.lastname: Bourgain
authors.forename: E
authors.initials: E
authors.lastname: Génin
authors.forename: P
authors.initials: P
authors.lastname: Margaritte-Jeannin
authors.forename: F
authors.initials: F
authors.lastname: Clerget-Darpoux
mesh_terms: D002874:Chromosome Mapping / Q000706:statistics & numerical data; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005820:Genetic Testing; D005828:Genetics, Population; D006239:Haplotypes / Q000235:genetics*; D006801:Humans; D015810:Linkage Disequilibrium; D008452:Maximum Allowable Concentration; D008957:Models, Genetic; D010641:Phenotype