title: The performance of MIM in comparison with MAPMAKER/SIBS to detect QTLs.
abstract: This paper summarizes the results of searching for evidence of loci contributing to simulated quantitative traits which are associated with a common genetic disease using two multipoint identity by descent (IBD) sharing methods: MIM and MAPMAKER/SIBS. In brief, by varying the lod-score threshold from 1 to 3, we found that MIM and MAPMAKER/SIBS have similar power to detect linkage, but MAPMAKER/SIBS consistently produces a higher number of false positives.
authors.affiliation: Unit of Genetic Epidemiology, International Center for Research on Cancer, Lyon, France.
authors.forename: Y Y
authors.initials: YY
authors.lastname: Shugart
authors.forename: D E
authors.initials: DE
authors.lastname: Goldgar
mesh_terms: D002874:Chromosome Mapping / Q000379:methods; D005260:Female; D008040:Genetic Linkage; D005820:Genetic Testing / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D016013:Likelihood Functions; D008126:Lod Score; D008297:Male; D016555:Matched-Pair Analysis; D009679:Nuclear Family; D011237:Predictive Value of Tests; D019655:Quantitative Trait, Heritable; D012984:Software