Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families.


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
21 07 2022
Historique:
received: 26 04 2022
accepted: 05 07 2022
entrez: 21 7 2022
pubmed: 22 7 2022
medline: 26 7 2022
Statut: epublish

Résumé

Multiplex families have higher recurrence risk of schizophrenia compared to the families of sporadic cases, but the source of this increased recurrence risk is unknown. We used schizophrenia genome-wide association study data (N = 156,509) to construct polygenic risk scores (PRS) in 1005 individuals from 257 multiplex schizophrenia families, 2114 ancestry-matched sporadic cases, and 2205 population controls, to evaluate whether increased PRS can explain the higher recurrence risk of schizophrenia in multiplex families compared to ancestry-matched sporadic cases. Using mixed-effects logistic regression with family structure modeled as a random effect, we show that SCZ PRS in familial cases does not differ significantly from sporadic cases either with, or without family history (FH) of psychotic disorders (All sporadic cases p = 0.90, FH+ cases p = 0.88, FH- cases p = 0.82). These results indicate that increased burden of common schizophrenia risk variation as indexed by current SCZ PRS, is unlikely to account for the higher recurrence risk of schizophrenia in multiplex families. In the absence of elevated PRS, segregation of rare risk variation or environmental influences unique to the families may explain the increased familial recurrence risk. These findings also further validate a genetically influenced psychosis spectrum, as shown by a continuous increase of common SCZ risk variation burden from unaffected relatives to schizophrenia cases in multiplex families. Finally, these results suggest that common risk variation loading are unlikely to be predictive of schizophrenia recurrence risk in the families of index probands, and additional components of genetic risk must be identified and included in order to improve recurrence risk prediction.

Identifiants

pubmed: 35864105
doi: 10.1038/s41398-022-02060-3
pii: 10.1038/s41398-022-02060-3
pmc: PMC9304393
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

291

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH062276
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH083094
Pays : United States
Organisme : NIAAA NIH HHS
ID : K25 AA030072
Pays : United States
Organisme : Wellcome Trust
ID : 090532/Z/09/Z
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH068881
Pays : United States
Organisme : Wellcome Trust
ID : 075491/Z/04/B
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 072894/Z/03/Z
Pays : United Kingdom
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : T32-MH020030
Organisme : Wellcome Trust
ID : 085475/Z/08/Z
Pays : United Kingdom
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01-MH114593
Organisme : Wellcome Trust
ID : 085475/B/08/Z
Pays : United Kingdom

Investigateurs

Brien P Riley (BP)
Derek W Morris (DW)
Colm T O'Dushlaine (CT)
Paul Cormican (P)
Elaine M Kenny (EM)
Brandon Wormley (B)
Gary Donohoe (G)
Emma Quinn (E)
Roisin Judge (R)
Kim Coleman (K)
Daniela Tropea (D)
Siobhan Roche (S)
Liz Cummings (L)
Eric Kelleher (E)
Patrick McKeon (P)
Ted Dinan (T)
Colm McDonald (C)
Kieran C Murphy (KC)
Eadbhard O'Callaghan (E)
Francis A O'Neill (FA)
John L Waddington (JL)
Kenneth S Kendler (KS)
Michael Gill (M)
Aiden Corvin (A)

Informations de copyright

© 2022. The Author(s).

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Auteurs

Mohammad Ahangari (M)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Integrative Life Sciences PhD Program, Virginia Commonwealth University, Richmond, VA, USA.

Amanda E Gentry (AE)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.

Tan-Hoang Nguyen (TH)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.

Robert Kirkpatrick (R)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.

Brian C Verrelli (BC)

Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, USA.

Silviu-Alin Bacanu (SA)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.

Kenneth S Kendler (KS)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.

Bradley T Webb (BT)

GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI, Richmond, VA, USA.

Brien P Riley (BP)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. Brien.Riley@vcuhealth.org.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA. Brien.Riley@vcuhealth.org.
Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA. Brien.Riley@vcuhealth.org.

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