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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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Detalles Bibliográficos
Autores principales: Qu, Conghui, Schuetz, Johanna M., Min, Jeong Eun, Leach, Stephen, Daley, Denise, Spinelli, John J., Brooks-Wilson, Angela, Graham, Jinko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270323/
https://www.ncbi.nlm.nih.gov/pubmed/22303327
http://dx.doi.org/10.3389/fgene.2011.00031