The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: A combined register-based and clinical twin study

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The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders : A combined register-based and clinical twin study. / Lemvigh, C.; Brouwer, R.; Hilker, R.; Anhøj, S.; Baandrup, L.; Pantelis, C.; Glenthøj, B.; Fagerlund, B.

In: Psychological Medicine, Vol. 53, No. 4, 2023, p. 1266-1276.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Lemvigh, C, Brouwer, R, Hilker, R, Anhøj, S, Baandrup, L, Pantelis, C, Glenthøj, B & Fagerlund, B 2023, 'The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: A combined register-based and clinical twin study', Psychological Medicine, vol. 53, no. 4, pp. 1266-1276. https://doi.org/10.1017/S0033291721002749

APA

Lemvigh, C., Brouwer, R., Hilker, R., Anhøj, S., Baandrup, L., Pantelis, C., Glenthøj, B., & Fagerlund, B. (2023). The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: A combined register-based and clinical twin study. Psychological Medicine, 53(4), 1266-1276. https://doi.org/10.1017/S0033291721002749

Vancouver

Lemvigh C, Brouwer R, Hilker R, Anhøj S, Baandrup L, Pantelis C et al. The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: A combined register-based and clinical twin study. Psychological Medicine. 2023;53(4):1266-1276. https://doi.org/10.1017/S0033291721002749

Author

Lemvigh, C. ; Brouwer, R. ; Hilker, R. ; Anhøj, S. ; Baandrup, L. ; Pantelis, C. ; Glenthøj, B. ; Fagerlund, B. / The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders : A combined register-based and clinical twin study. In: Psychological Medicine. 2023 ; Vol. 53, No. 4. pp. 1266-1276.

Bibtex

@article{340d95f4d65444c2b1f553e704ebb88b,
title = "The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: A combined register-based and clinical twin study",
abstract = "Background Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. Methods Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. Results The PRS [odds ratio (OR) 1.6 (1.1-2.3)], childhood trauma [OR 4.5 (2.3-8.8)], and regular cannabis use [OR 8.3 (2.1-32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03-0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1-10.4)]. Conclusion The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.",
keywords = "environmental influences, polygenic risk score, risk factors, Schizophrenia, twins",
author = "C. Lemvigh and R. Brouwer and R. Hilker and S. Anh{\o}j and L. Baandrup and C. Pantelis and B. Glenth{\o}j and B. Fagerlund",
note = "Publisher Copyright: Copyright {\textcopyright} The Author(s), 2021. Published by Cambridge University Press.",
year = "2023",
doi = "10.1017/S0033291721002749",
language = "English",
volume = "53",
pages = "1266--1276",
journal = "Psychological Medicine",
issn = "0033-2917",
publisher = "Cambridge University Press",
number = "4",

}

RIS

TY - JOUR

T1 - The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders

T2 - A combined register-based and clinical twin study

AU - Lemvigh, C.

AU - Brouwer, R.

AU - Hilker, R.

AU - Anhøj, S.

AU - Baandrup, L.

AU - Pantelis, C.

AU - Glenthøj, B.

AU - Fagerlund, B.

N1 - Publisher Copyright: Copyright © The Author(s), 2021. Published by Cambridge University Press.

PY - 2023

Y1 - 2023

N2 - Background Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. Methods Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. Results The PRS [odds ratio (OR) 1.6 (1.1-2.3)], childhood trauma [OR 4.5 (2.3-8.8)], and regular cannabis use [OR 8.3 (2.1-32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03-0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1-10.4)]. Conclusion The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.

AB - Background Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. Methods Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. Results The PRS [odds ratio (OR) 1.6 (1.1-2.3)], childhood trauma [OR 4.5 (2.3-8.8)], and regular cannabis use [OR 8.3 (2.1-32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03-0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1-10.4)]. Conclusion The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.

KW - environmental influences

KW - polygenic risk score

KW - risk factors

KW - Schizophrenia

KW - twins

U2 - 10.1017/S0033291721002749

DO - 10.1017/S0033291721002749

M3 - Journal article

C2 - 35822354

AN - SCOPUS:85112147583

VL - 53

SP - 1266

EP - 1276

JO - Psychological Medicine

JF - Psychological Medicine

SN - 0033-2917

IS - 4

ER -

ID: 276862543