Evaluating the Impact of Nonrandom Mating: Psychiatric Outcomes Among the Offspring of Pairs Diagnosed With Schizophrenia and Bipolar Disorder.


Journal

Biological psychiatry
ISSN: 1873-2402
Titre abrégé: Biol Psychiatry
Pays: United States
ID NLM: 0213264

Informations de publication

Date de publication:
01 02 2020
Historique:
received: 14 12 2018
revised: 07 06 2019
accepted: 21 06 2019
pubmed: 14 10 2019
medline: 7 1 2021
entrez: 14 10 2019
Statut: ppublish

Résumé

Nonrandom mating has been shown for psychiatric diagnoses, with hypothesized-but not quantified-implications for offspring liability. This national cohort study enumerated the incidence of major psychiatric disorders among the offspring of parent pairs affected with schizophrenia (SCZ) and/or bipolar disorder (BIP) (i.e., dual-affected pairs). Participants were all Swedish residents alive or born between 1968 and 2013 (n = 4,255,196 unique pairs and 8,343,951 offspring). Offspring with dual-affected, single-affected, and unaffected parents were followed (1973-2013) for incidence of broad psychiatric disorders. Primary outcomes included hazard ratio (HR) and cumulative incidence for SCZ and BIP in the offspring. Additional outcomes included any neuropsychiatric, anxiety, depressive, personality, or substance use disorders. Cumulative incidences of SCZ and BIP were used to inform heritability models for these disorders. Hazards were highest within disorder (e.g., offspring of dual-SCZ pairs had sharply raised hazards for SCZ [HR = 55.3]); however, they were significantly raised for all diagnoses (HR range = 2.89-11.84). Incidences were significantly higher for the majority of outcomes, with 43.4% to 48.5% diagnosed with "any" disorder over follow-up. Risks were retained, with modest attenuations, for the offspring of heterotypic pairs. The estimated heritability of liability for SCZ (h Risks for a broad spectrum of psychiatric diagnoses are significantly raised in the offspring of dual-affected parents, in line with expectations from a polygenic model of liability to disease risk. How these risks may contribute to population maintenance of these disorders is considered.

Sections du résumé

BACKGROUND
Nonrandom mating has been shown for psychiatric diagnoses, with hypothesized-but not quantified-implications for offspring liability. This national cohort study enumerated the incidence of major psychiatric disorders among the offspring of parent pairs affected with schizophrenia (SCZ) and/or bipolar disorder (BIP) (i.e., dual-affected pairs).
METHODS
Participants were all Swedish residents alive or born between 1968 and 2013 (n = 4,255,196 unique pairs and 8,343,951 offspring). Offspring with dual-affected, single-affected, and unaffected parents were followed (1973-2013) for incidence of broad psychiatric disorders. Primary outcomes included hazard ratio (HR) and cumulative incidence for SCZ and BIP in the offspring. Additional outcomes included any neuropsychiatric, anxiety, depressive, personality, or substance use disorders. Cumulative incidences of SCZ and BIP were used to inform heritability models for these disorders.
RESULTS
Hazards were highest within disorder (e.g., offspring of dual-SCZ pairs had sharply raised hazards for SCZ [HR = 55.3]); however, they were significantly raised for all diagnoses (HR range = 2.89-11.84). Incidences were significantly higher for the majority of outcomes, with 43.4% to 48.5% diagnosed with "any" disorder over follow-up. Risks were retained, with modest attenuations, for the offspring of heterotypic pairs. The estimated heritability of liability for SCZ (h
CONCLUSIONS
Risks for a broad spectrum of psychiatric diagnoses are significantly raised in the offspring of dual-affected parents, in line with expectations from a polygenic model of liability to disease risk. How these risks may contribute to population maintenance of these disorders is considered.

Identifiants

pubmed: 31606138
pii: S0006-3223(19)31507-0
doi: 10.1016/j.biopsych.2019.06.025
pmc: PMC6984389
mid: NIHMS1545651
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

253-262

Subventions

Organisme : NIMH NIH HHS
ID : R21 MH112963
Pays : United States

Informations de copyright

Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Références

Nord J Psychiatry. 2005;59(3):186-92
pubmed: 16195118
Nat Genet. 2013 Sep;45(9):984-94
pubmed: 23933821
Mol Psychiatry. 2014 Sep;19(9):1017-1024
pubmed: 24280982
Nature. 2014 Jul 24;511(7510):421-7
pubmed: 25056061
Arch Gen Psychiatry. 2012 Nov;69(11):1099-1103
pubmed: 22752149
Am J Med Genet B Neuropsychiatr Genet. 2012 Mar;159B(2):172-82
pubmed: 22213671
Compr Psychiatry. 2001 Jul-Aug;42(4):257-62
pubmed: 11458299
Lancet. 2013 Apr 20;381(9875):1371-1379
pubmed: 23453885
Nature. 2009 Aug 6;460(7256):748-52
pubmed: 19571811
Behav Genet. 1972 Jun-Sep;2(2):127-57
pubmed: 4664207
BMC Public Health. 2011 Jun 09;11:450
pubmed: 21658213
Front Genet. 2012 Jul 02;3:118
pubmed: 22783273
Alcohol Clin Exp Res. 2007 May;31(5):717-28
pubmed: 17378921
Ann Hum Genet. 1972 Nov;36(2):163-84
pubmed: 4676360
Eur J Epidemiol. 2009;24(11):659-67
pubmed: 19504049
JAMA Psychiatry. 2016 Nov 1;73(11):1189-1195
pubmed: 27732705
Nat Genet. 2013 Oct;45(10):1150-9
pubmed: 23974872
Arch Gen Psychiatry. 2010 Mar;67(3):252-7
pubmed: 20194825
Schizophr Bull. 2014 Jan;40(1):28-38
pubmed: 23960245
Methods Mol Biol. 2011;675:215-20
pubmed: 20949391
Nat Rev Genet. 2012 Jul 10;13(8):537-51
pubmed: 22777127
Am J Clin Nutr. 2010 Jun;91(6):1560-7
pubmed: 20375189
JAMA Psychiatry. 2013 Jan;70(1):22-30
pubmed: 23147713
Nat Genet. 2015 Nov;47(11):1236-41
pubmed: 26414676
Arch Gen Psychiatry. 2010 Aug;67(8):822-9
pubmed: 20679590
Lancet. 2009 Jan 17;373(9659):234-9
pubmed: 19150704
Am J Med Genet B Neuropsychiatr Genet. 2016 Mar;171B(2):276-89
pubmed: 26663532
JAMA Psychiatry. 2016 Apr;73(4):323-4
pubmed: 26914795
JAMA Psychiatry. 2016 Apr;73(4):354-61
pubmed: 26913486
Psychol Med. 2006 Oct;36(10):1417-25
pubmed: 16863597
Psychol Med. 2008 Dec;38(12):1731-40
pubmed: 18304384
Psychol Med. 1998 Nov;28(6):1389-401
pubmed: 9854280
BMJ Open. 2015 Jun 22;5(6):e007520
pubmed: 26100027
Acta Psychiatr Scand. 2011 Dec;124(6):447-53
pubmed: 21838734

Auteurs

Ashley E Nordsletten (AE)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan. Electronic address: ashley.nordsletten@gmail.com.

Gustaf Brander (G)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Henrik Larsson (H)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Paul Lichtenstein (P)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

James J Crowley (JJ)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Genetics, University of North Carolina at Chapel Hill, North Carolina.

Patrick F Sullivan (PF)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Genetics, University of North Carolina at Chapel Hill, North Carolina.

Naomi R Wray (NR)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.

David Mataix-Cols (D)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH