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Reverse GWAS: Using genetics to identify and model phenotypic subtypes
Recent and classical work has revealed biologically and medically significant subtypes in complex diseases and traits. However, relevant subtypes are often unknown, unmeasured, or actively debated, making automated statistical approaches to subtype definition valuable. We propose reverse GWAS (RGWAS...
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| Gepubliceerd in: | PLoS Genet |
|---|---|
| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6469799/ https://ncbi.nlm.nih.gov/pubmed/30951530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1008009 |
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