001     903471
005     20220103172033.0
024 7 _ |a 10.1038/s41398-021-01720-0
|2 doi
024 7 _ |a 2128/29438
|2 Handle
024 7 _ |a altmetric:118360582
|2 altmetric
024 7 _ |a pmid:34836939
|2 pmid
024 7 _ |a WOS:000722844000001
|2 WOS
037 _ _ |a FZJ-2021-05143
082 _ _ |a 610
100 1 _ |a Smigielski, Lukasz
|0 0000-0002-7428-7644
|b 0
|e Corresponding author
245 _ _ |a Polygenic risk scores across the extended psychosis spectrum
260 _ _ |a London
|c 2021
|b Nature Publishing 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 1639136870_19840
|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
520 _ _ |a As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing the probabilistic susceptibility of developing a disorder could guide mitigation measures and clinical intervention. In this context, polygenic risk scores (PRSs) quantifying the additive effects of multiple common genetic variants hold the potential to predict complex diseases and index severity gradients. PRSs for schizophrenia (SZ) and bipolar disorder (BD) were computed using Bayesian regression and continuous shrinkage priors based on the latest SZ and BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups (n = 1580; 56% males) were assessed: control (n = 305), lower (n = 117) and higher (n = 113) schizotypy (both groups of healthy individuals), at-risk for psychosis (n = 120), BD type-I (n = 359), BD type-II (n = 96), schizoaffective disorder (n = 86), and SZ groups (n = 384). PRS differences were investigated for binary traits and the quantitative Positive and Negative Syndrome Scale. Both BD-PRS and SZ-PRS significantly differentiated controls from at-risk and clinical groups (Nagelkerke’s pseudo-R2: 1.3–7.7%), except for BD type-II for SZ-PRS. Out of 28 pairwise comparisons for SZ-PRS and BD-PRS, 9 and 12, respectively, reached the Bonferroni-corrected significance. BD-PRS differed between control and at-risk groups, but not between at-risk and BD type-I groups. There was no difference between controls and schizotypy. SZ-PRSs, but not BD-PRSs, were positively associated with transdiagnostic symptomology. Overall, PRSs support the continuum model across the psychosis spectrum at the genomic level with possible irregularities for schizotypy. The at-risk state demands heightened clinical attention and research addressing symptom course specifiers. Continued efforts are needed to refine the diagnostic and prognostic accuracy of PRSs in mental healthcare.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Papiol, Sergi
|0 0000-0001-9366-8728
|b 1
700 1 _ |a Theodoridou, Anastasia
|b 2
700 1 _ |a Heekeren, Karsten
|b 3
700 1 _ |a Gerstenberg, Miriam
|b 4
700 1 _ |a Wotruba, Diana
|b 5
700 1 _ |a Buechler, Roman
|b 6
700 1 _ |a Hoffmann, Per
|b 7
700 1 _ |a Herms, Stefan
|0 0000-0002-2786-8200
|b 8
700 1 _ |a Adorjan, Kristina
|b 9
700 1 _ |a Anderson-Schmidt, Heike
|b 10
700 1 _ |a Budde, Monika
|0 0000-0001-7301-9157
|b 11
700 1 _ |a Comes, Ashley L.
|0 0000-0001-6745-9834
|b 12
700 1 _ |a Gade, Katrin
|b 13
700 1 _ |a Heilbronner, Maria
|b 14
700 1 _ |a Heilbronner, Urs
|0 0000-0001-7135-762X
|b 15
700 1 _ |a Kalman, Janos L.
|0 0000-0003-0930-4214
|b 16
700 1 _ |a Klöhn-Saghatolislam, Farahnaz
|b 17
700 1 _ |a Reich-Erkelenz, Daniela
|b 18
700 1 _ |a Schaupp, Sabrina K.
|b 19
700 1 _ |a Schulte, Eva C.
|b 20
700 1 _ |a Senner, Fanny
|b 21
700 1 _ |a Anghelescu, Ion-George
|b 22
700 1 _ |a Arolt, Volker
|b 23
700 1 _ |a Baune, Bernhard T.
|b 24
700 1 _ |a Dannlowski, Udo
|0 0000-0002-0623-3759
|b 25
700 1 _ |a Dietrich, Detlef E.
|b 26
700 1 _ |a Fallgatter, Andreas J.
|b 27
700 1 _ |a Figge, Christian
|b 28
700 1 _ |a Jäger, Markus
|b 29
700 1 _ |a Juckel, Georg
|b 30
700 1 _ |a Konrad, Carsten
|0 0000-0001-7015-3860
|b 31
700 1 _ |a Nieratschker, Vanessa
|0 0000-0001-7884-4500
|b 32
700 1 _ |a Reimer, Jens
|b 33
700 1 _ |a Reininghaus, Eva
|0 0000-0001-5964-4087
|b 34
700 1 _ |a Schmauß, Max
|b 35
700 1 _ |a Spitzer, Carsten
|b 36
700 1 _ |a von Hagen, Martin
|b 37
700 1 _ |a Wiltfang, Jens
|0 0000-0003-1492-5330
|b 38
700 1 _ |a Zimmermann, Jörg
|b 39
700 1 _ |a Gryaznova, Anna
|b 40
700 1 _ |a Flatau-Nagel, Laura
|b 41
700 1 _ |a Reitt, Markus
|b 42
700 1 _ |a Meyers, Milena
|b 43
700 1 _ |a Emons, Barbara
|b 44
700 1 _ |a Haußleiter, Ida Sybille
|b 45
700 1 _ |a Lang, Fabian U.
|b 46
700 1 _ |a Becker, Thomas
|b 47
700 1 _ |a Wigand, Moritz E.
|b 48
700 1 _ |a Witt, Stephanie H.
|0 0000-0002-1571-1468
|b 49
700 1 _ |a Degenhardt, Franziska
|b 50
700 1 _ |a Forstner, Andreas J.
|0 P:(DE-Juel1)186755
|b 51
700 1 _ |a Rietschel, Marcella
|0 0000-0002-5236-6149
|b 52
700 1 _ |a Nöthen, Markus M.
|b 53
700 1 _ |a Andlauer, Till F. M.
|0 0000-0002-2917-5889
|b 54
700 1 _ |a Rössler, Wulf
|b 55
700 1 _ |a Walitza, Susanne
|b 56
700 1 _ |a Falkai, Peter
|b 57
700 1 _ |a Schulze, Thomas G.
|b 58
700 1 _ |a Grünblatt, Edna
|0 0000-0001-8505-7265
|b 59
773 _ _ |a 10.1038/s41398-021-01720-0
|g Vol. 11, no. 1, p. 600
|0 PERI:(DE-600)2609311-X
|n 1
|p 600
|t Translational Psychiatry
|v 11
|y 2021
|x 2158-3188
856 4 _ |u https://juser.fz-juelich.de/record/903471/files/Smigielski_etal_Transl.Psychiatry_2021.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:903471
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 51
|6 P:(DE-Juel1)186755
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-29
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-29
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b TRANSL PSYCHIAT : 2019
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2021-01-29
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-01-29
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2021-01-29
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-01-29
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b TRANSL PSYCHIAT : 2019
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-01-29
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21