Home > Publications database > Genomics yields biological and phenotypic insights into bipolar disorder > print

001     1037857
005     20250414120456.0
024 7 _ |a 10.1038/s41586-024-08468-9
|2 doi
024 7 _ |a 0028-0836
|2 ISSN
024 7 _ |a 1476-4687
|2 ISSN
024 7 _ |a 10.34734/FZJ-2025-01000
|2 datacite_doi
024 7 _ |a 39843750
|2 pmid
024 7 _ |a WOS:001439581600001
|2 WOS
037 _ _ |a FZJ-2025-01000
082 _ _ |a 500
100 1 _ |a O’Connell, Kevin S.
|0 0000-0002-6865-8795
|b 0
|e Corresponding author
245 _ _ |a Genomics yields biological and phenotypic insights into bipolar disorder
260 _ _ |a London [u.a.]
|c 2025
|b Nature Publ. Group
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1744203269_21581
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
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700 1 _ |a van der Veen, Tracey
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700 1 _ |a Boltz, Toni
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700 1 _ |a David, Friederike S.
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700 1 _ |a Yang, Jessica Mei Kay
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