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Testing for Rare Variant Associations in the Presence of Missing Data

For studies of genetically complex diseases, many association methods have been developed to analyze rare variants. When variant calls are missing, naïve implementation of rare variant association (RVA) methods may lead to inflated type I error rates as well as a reduction in power. To overcome thes...

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Dades bibliogràfiques
Publicat a:Genet Epidemiol
Autors principals: Auer, Paul L., Wang, Gao, Leal, Suzanne M.
Format: Artigo
Idioma:Inglês
Publicat: 2013
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4459641/
https://ncbi.nlm.nih.gov/pubmed/23757187
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21736
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