DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods...

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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Arloth, Janine, Eraslan, Gökcen, Andlauer, Till F. M., Martins, Jade, Iurato, Stella, Kühnel, Brigitte, Waldenberger, Melanie, Frank, Josef, Gold, Ralf, Hemmer, Bernhard, Luessi, Felix, Nischwitz, Sandra, Paul, Friedemann, Wiendl, Heinz, Gieger, Christian, Heilmann-Heimbach, Stefanie, Kacprowski, Tim, Laudes, Matthias, Meitinger, Thomas, Peters, Annette, Rawal, Rajesh, Strauch, Konstantin, Lucae, Susanne, Müller-Myhsok, Bertram, Rietschel, Marcella, Theis, Fabian J., Binder, Elisabeth B., Mueller, Nikola S.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7043350/
https://ncbi.nlm.nih.gov/pubmed/32012148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007616
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