The performance of MIM in comparison with MAPMAKER/SIBS to detect QTLs.
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.
Shugart
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Unit of Genetic Epidemiology, International Center for Research on Cancer, Lyon, France.
Goldgar
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DE
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