Maximum identity length contrast: a powerful method for susceptibility gene detection in isolated populations.
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.
Bourgain
C
C
Genetic Epidemiology Unit, INSERM U535, Bâtiment Gregory Pincus, 80 Avenue du Général Leclerc 94276 Le Kremlin-Bicêtre, France.
Génin
E
E
Margaritte-Jeannin
P
P
Clerget-Darpoux
F
F
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