Inflated expectations: Rare-variant association analysis using public controls

The use of publicly available sequencing datasets as controls (hereafter, “public controls”) in studies of rare variant disease associations has great promise but can increase the risk of false-positive discovery. The specific factors that could contribute to inflated distribution of test statistics...

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Detalles Bibliográficos
Autores principales: Kim, Jung, Karyadi, Danielle M., Hartley, Stephen W., Zhu, Bin, Wang, Mingyi, Wu, Dongjing, Song, Lei, Armstrong, Gregory T., Bhatia, Smita, Robison, Leslie L., Yasui, Yutaka, Carter, Brian, Sampson, Joshua N., Freedman, Neal D., Goldstein, Alisa M., Mirabello, Lisa, Chanock, Stephen J., Morton, Lindsay M., Savage, Sharon A., Stewart, Douglas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876209/
https://www.ncbi.nlm.nih.gov/pubmed/36696392
http://dx.doi.org/10.1371/journal.pone.0280951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876209/
https://www.ncbi.nlm.nih.gov/pubmed/36696392
http://dx.doi.org/10.1371/journal.pone.0280951

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