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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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| Gepubliceerd in: | Genet Epidemiol |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2013
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| Onderwerpen: | |
| Online toegang: | 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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