TY - JOUR
T1 - Importance sampling method of correction for multiple testing in affected sib-pair linkage analysis.
AU - Klein, Alison P.
AU - Kovac, Ilija
AU - Sorant, Alexa J.M.
AU - Baffoe-Bonnie, Agnes
AU - Doan, Betty Q.
AU - Ibay, Grace
AU - Lockwood, Erica
AU - Mandal, Diptasri
AU - Santhosh, Lekshmi
AU - Weissbecker, Karen
AU - Woo, Jessica
AU - Zambelli-Weiner, April
AU - Zhang, Jie
AU - Naiman, Daniel Q.
AU - Malley, James
AU - Bailey-Wilson, Joan E.
PY - 2003
Y1 - 2003
N2 - Using the Genetic Analysis Workshop 13 simulated data set, we compared the technique of importance sampling to several other methods designed to adjust p-values for multiple testing: the Bonferroni correction, the method proposed by Feingold et al., and naïve Monte Carlo simulation. We performed affected sib-pair linkage analysis for each of the 100 replicates for each of five binary traits and adjusted the derived p-values using each of the correction methods. The type I error rates for each correction method and the ability of each of the methods to detect loci known to influence trait values were compared. All of the methods considered were conservative with respect to type I error, especially the Bonferroni method. The ability of these methods to detect trait loci was also low. However, this may be partially due to a limitation inherent in our binary trait definitions.
AB - Using the Genetic Analysis Workshop 13 simulated data set, we compared the technique of importance sampling to several other methods designed to adjust p-values for multiple testing: the Bonferroni correction, the method proposed by Feingold et al., and naïve Monte Carlo simulation. We performed affected sib-pair linkage analysis for each of the 100 replicates for each of five binary traits and adjusted the derived p-values using each of the correction methods. The type I error rates for each correction method and the ability of each of the methods to detect loci known to influence trait values were compared. All of the methods considered were conservative with respect to type I error, especially the Bonferroni method. The ability of these methods to detect trait loci was also low. However, this may be partially due to a limitation inherent in our binary trait definitions.
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U2 - 10.1186/1471-2156-4-s1-s73
DO - 10.1186/1471-2156-4-s1-s73
M3 - Article
C2 - 14975141
AN - SCOPUS:34248649575
SN - 1471-2156
VL - 4 Suppl 1
JO - BMC genetics
JF - BMC genetics
ER -