Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
36422680
TITLE
Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study.
ABSTRACT
Samples can be prone to ascertainment and attrition biases. The Australian Genetics of Depression Study is a large publicly recruited cohort (n = 20,689) established to increase the understanding of depression and antidepressant treatment response. This study investigates differences between participants who donated a saliva sample or agreed to linkage of their records compared to those who did not. We observed that older, male participants with higher education were more likely to donate a saliva sample. Self-reported bipolar disorder, ADHD, panic disorder, PTSD, substance use disorder, and social anxiety disorder were associated with lower odds of donating a saliva sample, whereas anorexia was associated with higher odds of donation. Male and younger participants showed higher odds of agreeing to record linkage. Participants with higher neuroticism scores and those with a history of bipolar disorder were also more likely to agree to record linkage whereas participants with a diagnosis of anorexia were less likely to agree. Increased likelihood of consent was associated with increased genetic susceptibility to anorexia and reduced genetic risk for depression, and schizophrenia. Overall, our results show moderate differences among these subsamples. Most current epidemiological studies do not search for attrition biases at the genetic level. The possibility to do so is a strength of samples such as the AGDS. Our results suggest that analyses can be made more robust by identifying attrition biases both on the phenotypic and genetic level, and either contextualising them as a potential limitation or performing sensitivity analyses adjusting for them.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
DATE PUBLISHED
2022 Nov 24
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2021/12/10
accepted 2022/11/15
entrez 2022/11/24 11:24
pubmed 2022/11/25 06:00
medline 2022/11/25 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Gomez L Gomez Lina L Genetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Díaz-Torres S Díaz-Torres Santiago S Statistical Genetics Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Colodro-Conde L Colodro-Conde Lucía L Psychiatric Genetics Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Garcia-Marin LM Garcia-Marin Luis M LM School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Yap CX Yap Chloe X CX Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Byrne EM Byrne Enda M EM Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Yengo L Yengo Loic L Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Lind PA Lind Penelope A PA School of Biomedical Sciences, Queensland Institute of Technology, Brisbane, QLD, Australia.
Wray NR Wray Naomi R NR Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
Medland SE Medland Sarah E SE Psychiatric Genetics Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Hickie IB Hickie Ian B IB Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Lupton MK Lupton Michelle K MK Genetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Rentería ME Rentería Miguel E ME School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Martin NG Martin Nicholas G NG Genetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Campos AI Campos Adrian I AI Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia. adrianisaac.camposgonzalez@uq.edu.au.
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: European archives of psychiatry and clinical neuroscience
ISOABBREVIATION: Eur Arch Psychiatry Clin Neurosci
YEAR: 2022
MONTH: Nov
DAY: 24
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1433-8491
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Eur Arch Psychiatry Clin Neurosci
COUNTRY: Germany
ISSNLINKING: 0940-1334
NLMUNIQUEID: 9103030
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Attrition
Bias
Cohort study
Depression
Epidemiology
Genetics
PRS
Polygenic
Recruitment
Selection bias
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's