Literature DB >> 28987712

Heritability of Schizophrenia and Schizophrenia Spectrum Based on the Nationwide Danish Twin Register.

Rikke Hilker1, Dorte Helenius2, Birgitte Fagerlund3, Axel Skytthe4, Kaare Christensen4, Thomas M Werge5, Merete Nordentoft6, Birte Glenthøj7.   

Abstract

BACKGROUND: Twin studies have provided evidence that both genetic and environmental factors contribute to schizophrenia (SZ) risk. Heritability estimates of SZ in twin samples have varied methodologically. This study provides updated heritability estimates based on nationwide twin data and an improved statistical methodology.
METHODS: Combining two nationwide registers, the Danish Twin Register and the Danish Psychiatric Research Register, we identified a sample of twins born between 1951 and 2000 (N = 31,524 twin pairs). Twins were followed until June 1, 2011. Liability threshold models adjusting for censoring with inverse probability weighting were used to estimate probandwise concordance rates and heritability of the diagnoses of SZ and SZ spectrum disorders.
RESULTS: The probandwise concordance rate of SZ is 33% in monozygotic twins and 7% in dizygotic twins. We estimated the heritability of SZ to be 79%. When expanding illness outcome to include SZ spectrum disorders, the heritability estimate was almost similar (73%).
CONCLUSIONS: The key strength of this study is the application of a novel statistical method accounting for censoring in the follow-up period to a nationwide twin sample. The estimated 79% heritability of SZ is congruent with previous reports and indicates a substantial genetic risk. The high genetic risk also applies to a broader phenotype of SZ spectrum disorders. The low concordance rate of 33% in monozygotic twins demonstrates that illness vulnerability is not solely indicated by genetic factors.
Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Censoring; Concordance; Heritability; Register; Schizophrenia; Twin study

Mesh:

Year:  2017        PMID: 28987712     DOI: 10.1016/j.biopsych.2017.08.017

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  97 in total

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Review 6.  The three-dimensional landscape of the genome in human brain tissue unveils regulatory mechanisms leading to schizophrenia risk.

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Review 10.  Implications of germline copy-number variations in psychiatric disorders: review of large-scale genetic studies.

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Journal:  J Hum Genet       Date:  2020-09-21       Impact factor: 3.172

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