Prediction of lithium response using genomic data

Predicting lithium response prior to treatment could both expedite therapy and avoid exposure to side effects. Since lithium responsiveness may be heritable, its predictability based on genomic data is of interest. We thus evaluate the degree to which lithium response can be predicted with a machine...

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Detalles Bibliográficos
Autores principales: Stone, William, Nunes, Abraham, Akiyama, Kazufumi, Akula, Nirmala, Ardau, Raffaella, Aubry, Jean-Michel, Backlund, Lena, Bauer, Michael, Bellivier, Frank, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cruceanu, Cristiana, Dayer, Alexandre, Degenhardt, Franziska, Del Zompo, Maria, Forstner, Andreas J., Frye, Mark, Fullerton, Janice M., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hou, Liping, Jiménez, Esther, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Kuo, Po-Hsiu, Kusumi, Ichiro, Lavebratt, Catharina, Manchia, Mirko, Martinsson, Lina, Mattheisen, Manuel, McMahon, Francis J., Millischer, Vincent, Mitchell, Philip B., Nöthen, Markus M., O’Donovan, Claire, Ozaki, Norio, Pisanu, Claudia, Reif, Andreas, Rietschel, Marcella, Rouleau, Guy, Rybakowski, Janusz, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Severino, Giovanni, Squassina, Alessio, Veeh, Julia, Vieta, Eduard, Trappenberg, Thomas, Alda, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806976/
https://www.ncbi.nlm.nih.gov/pubmed/33441847
http://dx.doi.org/10.1038/s41598-020-80814-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806976/
https://www.ncbi.nlm.nih.gov/pubmed/33441847
http://dx.doi.org/10.1038/s41598-020-80814-z

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