| Title: | Factors associated with sharing e-mail information and mental health survey participation in large population cohorts |
| Journal: | International Journal of Epidemiology |
| Published: | 1 Jul 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31263887/ |
| DOI: | https://doi.org/10.1093/ije/dyz134 |
| URL: | https://kclpure.kcl.ac.uk/ws/files/111090536/Adams_recontact_green.pdf |
Publication 13778
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
BACKGROUND: People who opt to participate in scientific studies tend to be healthier, wealthier and more educated than the broader population. Although selection bias does not always pose a problem for analysing the relationships between exposures and diseases or other outcomes, it can lead to biased effect size estimates. Biased estimates may weaken the utility of genetic findings because the goal is often to make inferences in a new sample (such as in polygenic risk score analysis).</p>
METHODS: We used data from UK Biobank, Generation Scotland and Partners Biobank and conducted phenotypic and genome-wide association analyses on two phenotypes that reflected mental health data availability: (i) whether participants were contactable by e-mail for follow-up; and (ii) whether participants responded to follow-up surveys of mental health.</p>
RESULTS: In UK Biobank, we identified nine genetic loci associated (P <5 × 10-8) with e-mail contact and 25 loci associated with mental health survey completion. Both phenotypes were positively genetically correlated with higher educational attainment and better health and negatively genetically correlated with psychological distress and schizophrenia. One single nucleotide polymorphism association replicated along with the overall direction of effect of all association results.</p>
CONCLUSIONS: Re-contact availability and follow-up participation can act as further genetic filters for data on mental health phenotypes.</p>
8 Keywords
- Cohort Studies
- Electronic Mail
- Genome-Wide Association Study
- Health Surveys
- Humans
- Mental Health
- Phenotype
- United Kingdom
12 Authors
- Mark J Adams
- W David Hill
- David M Howard
- Hassan S Dashti
- Katrina A S Davis
- Archie Campbell
- Toni-Kim Clarke
- Ian J Deary
- Caroline Hayward
- David Porteous
- Matthew Hotopf
- Andrew M McIntosh
1 Application
| Application ID | Title |
|---|---|
| 4844 | STratifying Resilience and Depression Longitudinally (STRADL) |
Enabling scientific discoveries that improve human health