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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Detalles Bibliográficos
Autores principales: Dahl, Andy, Cai, Na, Ko, Arthur, Laakso, Markku, Pajukanta, Päivi, Flint, Jonathan, Zaitlen, Noah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469799/
https://www.ncbi.nlm.nih.gov/pubmed/30951530
http://dx.doi.org/10.1371/journal.pgen.1008009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469799/
https://www.ncbi.nlm.nih.gov/pubmed/30951530
http://dx.doi.org/10.1371/journal.pgen.1008009

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