Evidence map›Paper›PMID 36422680›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study.

Lina Gomez, Santiago Díaz-Torres, Lucía Colodro-Conde, Luis M Garcia-Marin, Chloe X Yap, Enda M Byrne, Loic Yengo, Penelope A Lind, Naomi R Wray, Sarah E Medland and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Mental health and sleep correlates of self-reported outdoor daylight exposure in over 13,000 adults with depression.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  2. Correlates of neurological soft signs in bipolar disorder.European archives of psychiatry and clinical neuroscience · 2023
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Lina GomezGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Santiago Díaz-TorresSchool of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Lucía Colodro-CondePsychiatric Genetics Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Luis M Garcia-MarinGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Chloe X YapInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Enda M ByrneInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Penelope A LindSchool of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Sarah E MedlandPsychiatric Genetics Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Ian B HickieBrain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Michelle K LuptonGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Miguel E RenteríaGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Nicholas G MartinGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Adrian I CamposGenetic Epidemiology Lab, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. adrianisaac.camposgonzalez@uq.edu.au.ORCID http://orcid.org/0000-0003-3468-8619
The University of Queensland · AUQIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AUThe University of Sydney · AU

Funding

National Health and Medical Research Council APP1172917National Health and Medical Research Council GNT1086683National Health and Medical Research Council GNT1102821National Health and Medical Research Council GNT1113400National Health and Medical Research Council GNT1173790
6 · The paper itself

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.

Indexed as

AnorexiaDepressionAustraliaDNAHumansInformed ConsentMaleDNAAttritionBiasCohort studyDepressionEpidemiologyGeneticsPolygenicPRSRecruitmentSelection bias

Identifiers

PMID36422680
OpenAlexW4309923410

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.