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Linkage Analysis of Genetic Analysis Workshop 12 Simulated Data Based on Affected Individuals Only
Author(s) -
Cordell Heather J.,
Dudbridge Frank
Publication year - 2001
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/gepi.2001.21.s1.s510
Subject(s) - linkage (software) , replicate , false positive paradox , genetic linkage , variety (cybernetics) , genetics , computational biology , biology , genome scan , computer science , allele , statistics , artificial intelligence , mathematics , microsatellite , gene
A variety of allele‐sharing methods was used to assess linkage to disease for a whole‐genome screen in each of ten replicates from the Genetic Analysis Workshop 12 simulated data. Analysis of each replicate produced many false positive results in addition to a few “true” positives. Conditioning on the strongest initial linkage and reanalyzing using a variety of conditional methods did not improve the power for detection or help discriminate between true and false positive signals. © 2001 Wiley‐Liss, Inc.