Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association

To date, gene-based rare variant testing approaches have focused on aggregating information across sets of variants to maximize statistical power in identifying genes showing significant association with diseases. Beyond identifying genes that are associated with diseases, the identification of caus...

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Detalles Bibliográficos
Autores principales: Grinde, Kelsey E., Arbet, Jaron, Green, Alden, O'Connell, Michael, Valcarcel, Alessandra, Westra, Jason, Tintle, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603735/
https://www.ncbi.nlm.nih.gov/pubmed/28959274
http://dx.doi.org/10.3389/fgene.2017.00117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603735/
https://www.ncbi.nlm.nih.gov/pubmed/28959274
http://dx.doi.org/10.3389/fgene.2017.00117

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