Association of genetic risk for schizophrenia with nonparticipation over time in a population-based cohort study

Martin, Joanna ORCID: https://orcid.org/0000-0002-8911-3479, Tilling, Kate, Hubbard, Leon, Stergiakouli, Evie, Thapar, Anita ORCID: https://orcid.org/0000-0002-3689-737X, Davey Smith, George, O'Donovan, Michael C. ORCID: https://orcid.org/0000-0001-7073-2379 and Zammit, Stanley ORCID: https://orcid.org/0000-0002-2647-9211 2016. Association of genetic risk for schizophrenia with nonparticipation over time in a population-based cohort study. American Journal of Epidemiology 183 (12) , pp. 1149-1158. 10.1093/aje/kww009

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Abstract

Progress has recently been made in understanding the genetic basis of schizophrenia and other psychiatric disorders. Longitudinal studies are complicated by participant dropout, which could be related to the presence of psychiatric problems and associated genetic risk. We tested whether common genetic variants implicated in schizophrenia were associated with study nonparticipation among 7,867 children and 7,850 mothers from the Avon Longitudinal Study of Parents and Children (ALSPAC; 1991–2007), a longitudinal population cohort study. Higher polygenic risk scores for schizophrenia were consistently associated with noncompletion of questionnaires by study mothers and children and nonattendance at data collection throughout childhood and adolescence (ages 1–15 years). These associations persisted after adjustment for other potential correlates of nonparticipation. Results suggest that persons at higher genetic risk for schizophrenia are likely to be underrepresented in cohort studies, which will underestimate risk of this and related psychiatric, cognitive, and behavioral phenotypes in the population. Statistical power to detect associations with these phenotypes will be reduced, while analyses of schizophrenia-related phenotypes as outcomes may be biased by the nonrandom missingness of these phenotypes, even if multiple imputation is used. Similarly, in complete-case analyses, collider bias may affect associations between genetic risk and other factors associated with missingness.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Subjects:	R Medicine > R Medicine (General)
Additional Information:	This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher:	Oxford University Press
ISSN:	0002-9262
Funders:	Wellcome Trust
Date of First Compliant Deposit:	12 May 2016
Date of Acceptance:	8 January 2016
Last Modified:	07 Jul 2023 17:08
URI:	https://orca.cardiff.ac.uk/id/eprint/90812

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