Cargando…

Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study

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 genet...

Descripción completa

Detalles Bibliográficos
Autores principales: Martin, Joanna, Tilling, Kate, Hubbard, Leon, Stergiakouli, Evie, Thapar, Anita, Davey Smith, George, O'Donovan, Michael C., Zammit, Stanley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908211/
https://www.ncbi.nlm.nih.gov/pubmed/27188935
http://dx.doi.org/10.1093/aje/kww009
_version_ 1782437638712590336
author Martin, Joanna
Tilling, Kate
Hubbard, Leon
Stergiakouli, Evie
Thapar, Anita
Davey Smith, George
O'Donovan, Michael C.
Zammit, Stanley
author_facet Martin, Joanna
Tilling, Kate
Hubbard, Leon
Stergiakouli, Evie
Thapar, Anita
Davey Smith, George
O'Donovan, Michael C.
Zammit, Stanley
author_sort Martin, Joanna
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4908211
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-49082112016-06-17 Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study Martin, Joanna Tilling, Kate Hubbard, Leon Stergiakouli, Evie Thapar, Anita Davey Smith, George O'Donovan, Michael C. Zammit, Stanley Am J Epidemiol Practice of Epidemiology 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. Oxford University Press 2016-06-15 2016-05-10 /pmc/articles/PMC4908211/ /pubmed/27188935 http://dx.doi.org/10.1093/aje/kww009 Text en © The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Practice of Epidemiology
Martin, Joanna
Tilling, Kate
Hubbard, Leon
Stergiakouli, Evie
Thapar, Anita
Davey Smith, George
O'Donovan, Michael C.
Zammit, Stanley
Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title_full Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title_fullStr Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title_full_unstemmed Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title_short Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
title_sort association of genetic risk for schizophrenia with nonparticipation over time in a population-based cohort study
topic Practice of Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908211/
https://www.ncbi.nlm.nih.gov/pubmed/27188935
http://dx.doi.org/10.1093/aje/kww009
work_keys_str_mv AT martinjoanna associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT tillingkate associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT hubbardleon associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT stergiakoulievie associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT thaparanita associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT daveysmithgeorge associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT odonovanmichaelc associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy
AT zammitstanley associationofgeneticriskforschizophreniawithnonparticipationovertimeinapopulationbasedcohortstudy