Cost-effective prediction of gender-labeling errors and estimation of gender-labeling error rates in candidate-gene association studies

Cost-effective prediction of gender-labeling errors and estimation of gender-labeling error rates in candidate-gene association studies

We describe a statistical approach to predict gender-labeling errors in candidate-gene association studies, when Y-chromosome markers have not been included in the genotyping set. The approach adds value to methods that consider only the heterozygosity of X-chromosome SNPs, by incorporating availabl...

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Bibliographic Details
Main Authors: Conghui eQu, Johanna M. Schuetz, Jeong Eun eMin, Stephen eLeach, Denise eDaley, John J. Spinelli, Angela eBrooks-Wilson, Jinko eGraham
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-06-01
Series:Frontiers in Genetics
Subjects:
Quality control
candidate-gene association study
error rates
gender-labeling errors
genotype intensities
heterozygosity
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2011.00031/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2011.00031/full

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