Literature DB >> 35723738

Association of polygenic risk for schizophrenia with fast sleep spindle density depends on pro-cognitive variants.

Claudia Schilling1, Lea Zillich2, Michael Schredl3, Josef Frank2, Emanuel Schwarz4, Michael Deuschle4, Andreas Meyer-Lindenberg4, Marcella Rietschel2, Stephanie H Witt2,5, Fabian Streit2.   

Abstract

Cognitive impairment is a common feature in schizophrenia and the strongest prognostic factor for long-term outcome. Identifying a trait associated with the genetic background for cognitive outcome in schizophrenia may aid in a deeper understanding of clinical disease subtypes. Fast sleep spindles may represent such a biomarker as they are strongly genetically determined, associated with cognitive functioning and impaired in schizophrenia and unaffected relatives. We measured fast sleep spindle density in 150 healthy adults and investigated its association with a genome-wide polygenic score for schizophrenia (SCZ-PGS). The association between SCZ-PGS and fast spindle density was further characterized by stratifying it to the genetic background of intelligence. SCZ-PGS was positively associated with fast spindle density. This association mainly depended on pro-cognitive genetic variants. Our results strengthen the evidence for a genetic background of spindle abnormalities in schizophrenia. Spindle density might represent an easily accessible marker for a favourable cognitive outcome which should be further investigated in clinical samples.
© 2022. The Author(s).

Entities:  

Keywords:  Cognition; Genetics; Polygenic score; Schizophrenia; Sleep spindles

Year:  2022        PMID： 35723738     DOI： 10.1007/s00406-022-01435-3

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN： 0940-1334            Impact factor:   5.760


  61 in total

1.  Sleep spindle-related activity in the human EEG and its relation to general cognitive and learning abilities.

Authors:  M Schabus; K Hödlmoser; G Gruber; C Sauter; P Anderer; G Klösch; S Parapatics; B Saletu; W Klimesch; J Zeitlhofer
Journal:  Eur J Neurosci       Date:  2006-04       Impact factor: 3.386

2.  Reduced sleep spindle density in adolescent patients with early-onset schizophrenia compared to major depressive disorder and healthy controls.

Authors:  Miriam Gerstenberg; Melanie Furrer; Noemi Tesler; Maurizia Franscini; Susanne Walitza; Reto Huber
Journal:  Schizophr Res       Date:  2020-01-07       Impact factor: 4.939

3.  Sleep spindles and their significance for declarative memory consolidation.

Authors:  Manuel Schabus; Georg Gruber; Silvia Parapatics; Cornelia Sauter; Gerhard Klösch; Peter Anderer; Wolfgang Klimesch; Bernd Saletu; Josef Zeitlhofer
Journal:  Sleep       Date:  2004-12-15       Impact factor: 5.849

Review 4.  Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the "right stuff"?

Authors:  M F Green; R S Kern; D L Braff; J Mintz
Journal:  Schizophr Bull       Date:  2000       Impact factor: 9.306

5.  Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways.

Authors:  Max Lam; W David Hill; Joey W Trampush; Jin Yu; Emma Knowles; Gail Davies; Eli Stahl; Laura Huckins; David C Liewald; Srdjan Djurovic; Ingrid Melle; Kjetil Sundet; Andrea Christoforou; Ivar Reinvang; Pamela DeRosse; Astri J Lundervold; Vidar M Steen; Thomas Espeseth; Katri Räikkönen; Elisabeth Widen; Aarno Palotie; Johan G Eriksson; Ina Giegling; Bettina Konte; Annette M Hartmann; Panos Roussos; Stella Giakoumaki; Katherine E Burdick; Antony Payton; William Ollier; Ornit Chiba-Falek; Deborah K Attix; Anna C Need; Elizabeth T Cirulli; Aristotle N Voineskos; Nikos C Stefanis; Dimitrios Avramopoulos; Alex Hatzimanolis; Dan E Arking; Nikolaos Smyrnis; Robert M Bilder; Nelson A Freimer; Tyrone D Cannon; Edythe London; Russell A Poldrack; Fred W Sabb; Eliza Congdon; Emily Drabant Conley; Matthew A Scult; Dwight Dickinson; Richard E Straub; Gary Donohoe; Derek Morris; Aiden Corvin; Michael Gill; Ahmad R Hariri; Daniel R Weinberger; Neil Pendleton; Panos Bitsios; Dan Rujescu; Jari Lahti; Stephanie Le Hellard; Matthew C Keller; Ole A Andreassen; Ian J Deary; David C Glahn; Anil K Malhotra; Todd Lencz
Journal:  Am J Hum Genet       Date:  2019-08-01       Impact factor: 11.025

6.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

7.  MAGMA: generalized gene-set analysis of GWAS data.

Authors:  Christiaan A de Leeuw; Joris M Mooij; Tom Heskes; Danielle Posthuma
Journal:  PLoS Comput Biol       Date:  2015-04-17       Impact factor: 4.475

8.  The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia.

Authors:  Alexander L Richards; Antonio F Pardiñas; Aura Frizzati; Katherine E Tansey; Amy J Lynham; Peter Holmans; Sophie E Legge; Jeanne E Savage; Ingrid Agartz; Ole A Andreassen; Gabriella A M Blokland; Aiden Corvin; Donna Cosgrove; Franziska Degenhardt; Srdjan Djurovic; Thomas Espeseth; Laura Ferraro; Charlotte Gayer-Anderson; Ina Giegling; Neeltje E van Haren; Annette M Hartmann; John J Hubert; Erik G Jönsson; Bettina Konte; Leonhard Lennertz; Loes M Olde Loohuis; Ingrid Melle; Craig Morgan; Derek W Morris; Robin M Murray; Håkan Nyman; Roel A Ophoff; Jim van Os; Tracey L Petryshen; Diego Quattrone; Marcella Rietschel; Dan Rujescu; Bart P F Rutten; Fabian Streit; Jana Strohmaier; Patrick F Sullivan; Kjetil Sundet; Michael Wagner; Valentina Escott-Price; Michael J Owen; Gary Donohoe; Michael C O'Donovan; James T R Walters
Journal:  Schizophr Bull       Date:  2020-02-26       Impact factor: 9.306

9.  Systematic review: the relationship between sleep spindle activity with cognitive functions, positive and negative symptoms in psychosis.

Authors:  Chi Hung Au; Christopher-James Harvey
Journal:  Sleep Med X       Date:  2020-08-29

10.  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.

Authors:  Antonio F Pardiñas; Peter Holmans; Andrew J Pocklington; Valentina Escott-Price; Stephan Ripke; Noa Carrera; Sophie E Legge; Sophie Bishop; Darren Cameron; Marian L Hamshere; Jun Han; Leon Hubbard; Amy Lynham; Kiran Mantripragada; Elliott Rees; James H MacCabe; Steven A McCarroll; Bernhard T Baune; Gerome Breen; Enda M Byrne; Udo Dannlowski; Thalia C Eley; Caroline Hayward; Nicholas G Martin; Andrew M McIntosh; Robert Plomin; David J Porteous; Naomi R Wray; Armando Caballero; Daniel H Geschwind; Laura M Huckins; Douglas M Ruderfer; Enrique Santiago; Pamela Sklar; Eli A Stahl; Hyejung Won; Esben Agerbo; Thomas D Als; Ole A Andreassen; Marie Bækvad-Hansen; Preben Bo Mortensen; Carsten Bøcker Pedersen; Anders D Børglum; Jonas Bybjerg-Grauholm; Srdjan Djurovic; Naser Durmishi; Marianne Giørtz Pedersen; Vera Golimbet; Jakob Grove; David M Hougaard; Manuel Mattheisen; Espen Molden; Ole Mors; Merete Nordentoft; Milica Pejovic-Milovancevic; Engilbert Sigurdsson; Teimuraz Silagadze; Christine Søholm Hansen; Kari Stefansson; Hreinn Stefansson; Stacy Steinberg; Sarah Tosato; Thomas Werge; David A Collier; Dan Rujescu; George Kirov; Michael J Owen; Michael C O'Donovan; James T R Walters
Journal:  Nat Genet       Date:  2018-02-26       Impact factor: 38.330
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