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- Title
Reply to letter Yates et al.
- Authors
Hamilton, Elizabeth M; Allen, Naomi E; Mentzer, Alexander J; Littlejohns, Thomas J
- Abstract
To the Editor —We thank Yates et al [ 1] for their interest in our article and positive comments regarding careful control of potential confounding variables in the analyses [ 2]. In addition to confounding, other types of bias—including collider bias (the subject addressed by Yates et al) as well as recall bias, regression dilution, and reverse causation bias (which are not mentioned)—are important to consider when interpreting the results of the association between human cytomegalovirus (HCMV) and cardiovascular disease (CVD). A key premise of the suggestion by Yates et al that collider bias could substantially affect the null association found in our study is that the seroprevalence of HCMV is much lower in the UK Biobank (UKB) than in the general population. This is owing to the overall younger age profile of UKB participants; the age-specific prevalence of HCMV in UKB participants is actually very similar to...
- Subjects
RESEARCH funding
- Publication
Journal of Infectious Diseases, 2022, Vol 225, Issue 7, p1303
- ISSN
0022-1899
- Publication type
journal article
- DOI
10.1093/infdis/jiab572