DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychi...
DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychiatric cohorts
About this item
Full title
Author / Creator
Lynham, Amy J. , Knott, Sarah , Underwood, Jack F. G. , Hubbard, Leon , Agha, Sharifah S. , Bisson, Jonathan I. , van den Bree, Marianne B. M. , Chawner, Samuel J. R. A. , Craddock, Nicholas , O'Donovan, Michael , Jones, Ian R. , Kirov, George , Langley, Kate , Martin, Joanna , Rice, Frances , Roberts, Neil P. , Thapar, Anita , Anney, Richard , Owen, Michael J. , Hall, Jeremy , Pardiñas, Antonio F. and Walters, James T. R.
Publisher
Cambridge, UK: Cambridge University Press
Journal title
Language
English
Formats
Publication information
Publisher
Cambridge, UK: Cambridge University Press
Subjects
More information
Scope and Contents
Contents
Current psychiatric diagnoses, although heritable, have not been clearly mapped onto distinct underlying pathogenic processes. The same symptoms often occur in multiple disorders, and a substantial proportion of both genetic and environmental risk factors are shared across disorders. However, the relationship between shared symptoms and shared gene...
Alternative Titles
Full title
DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychiatric cohorts
Authors, Artists and Contributors
Author / Creator
Knott, Sarah
Underwood, Jack F. G.
Hubbard, Leon
Agha, Sharifah S.
Bisson, Jonathan I.
van den Bree, Marianne B. M.
Chawner, Samuel J. R. A.
Craddock, Nicholas
O'Donovan, Michael
Jones, Ian R.
Kirov, George
Langley, Kate
Martin, Joanna
Rice, Frances
Roberts, Neil P.
Thapar, Anita
Anney, Richard
Owen, Michael J.
Hall, Jeremy
Pardiñas, Antonio F.
Walters, James T. R.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_dd03093f092a402fbab91ae8a33de779
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dd03093f092a402fbab91ae8a33de779
Other Identifiers
ISSN
2056-4724
E-ISSN
2056-4724
DOI
10.1192/bjo.2022.636
