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The performance of MIM in comparison with MAPMAKER/SIBS to detect QTLs
Author(s) -
Shugart Yin Y.,
Goldgar David E.
Publication year - 1997
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/(sici)1098-2272(1997)14:6<897::aid-gepi56>3.0.co;2-h
Subject(s) - identity by descent , false positive paradox , linkage (software) , quantitative trait locus , genetics , biology , genetic linkage , computer science , artificial intelligence , allele , haplotype , gene
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. © 1997 Wiley‐Liss, Inc.