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Adjusting Family Relatedness in Data-driven Burden Test of Rare Variants
Family data represents a rich resource for detecting association between rare variants (RVs) and human traits. However, most RV association analysis methods developed in recent years are data-driven burden tests which can adaptively learn weights from data but require permutation to evaluate signifi...
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| Udgivet i: | Genet Epidemiol |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4236253/ https://ncbi.nlm.nih.gov/pubmed/25169066 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21848 |
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