Prediction of lithium response using genomic data
Prediction of lithium response using genomic data
About this item
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Author / Creator
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 and Alda, Martin
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 learning (ML) approach using genomic data. Using...
Alternative Titles
Full title
Prediction of lithium response using genomic data
Authors, Artists and Contributors
Author / Creator
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3122c8062c9b4f39a9a4aa0e6220ae8c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3122c8062c9b4f39a9a4aa0e6220ae8c
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-80814-z
