The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort
Open accessAbstract
While comorbidity between coronary heart disease (CHD) and depression is evident, it is unclear whether the two diseases have shared underlying mechanisms. We performed a range of analyses in 367,703 unrelated middle-aged participants of European ancestry from UK Biobank, a population-based cohort study, to assess whether comorbidity is primarily due to genetic or environmental factors, and to test whether cardiovascular risk factors and CHD are likely to be causally related to depression using Mendelian randomization. We showed family history of heart disease was associated with a 20% increase in depression risk (95% confidence interval [CI] 16–24%, p < 0.0001), but a genetic risk score that is strongly associated with CHD risk was not associated with depression. An increase of 1 standard deviation in the CHD genetic risk score was associated with 71% higher CHD risk, but 1% higher depression risk (95% CI 0–3%; p = 0.11). Mendelian randomization analyses suggested that triglycerides, interleukin-6 (IL-6), and C-reactive protein (CRP) are likely causal risk factors for depression. The odds ratio for depression per standard deviation increase in genetically-predicted triglycerides was 1.18 (95% CI 1.09–1.27; p = 2 × 10 −5 ); per unit increase in genetically-predicted log-transformed IL-6 was 1.35 (95% CI 1.12–1.62; p = 0.0012); and per unit increase in genetically-predicted log-transformed CRP was 1.18 (95% CI 1.07–1.29; p = 0.0009). Our analyses suggest that comorbidity between depression and CHD arises largely from shared environmental factors. IL-6, CRP and triglycerides are likely to be causally linked with depression, so could be targets for treatment and prevention of depression.
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“We also performed the MR-Egger [34] and weighted median [35] methods to assess the robustness of findings.”
Self-citationBowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922
Self-citationInflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773
From inflammation to sickness and depression: when the immune system subjugates the brain
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Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N., & Davey Smith, G. (2008) · Statistics in Medicine · doi:10.1002/sim.3034 · Cited by 4,618
Genetic studies of body mass index yield new insights for obesity biology
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Fetal origins of coronary heart disease
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Cited by
Kandola, A., Ashdown-Franks, G., Hendrikse, J., Sabiston, C. M., & Stubbs, B. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.040 · Cited by 1,309
Mac Giollabhui, N., Ng, T. H., Ellman, L. M., & Alloy, L. B. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00867-4 · Cited by 361
Kappelmann, N., Arloth, J., Georgakis, M. K., Czamara, D., Rost, N., Ligthart, S., Khandaker, G. M., & Binder, E. B. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3436 · Cited by 266
Self-citationCostello, H., Gould, R. L., Abrol, E., & Howard, R. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-027925 · Cited by 248
Pitharouli, M. C., Hagenaars, S. P., Glanville, K. P., Coleman, J. R. I., Hotopf, M., Lewis, C. M., & Pariante, C. M. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20060947 · Cited by 218
Metadata
- Authors
- Khandaker, G. M., Zuber, V., Rees, J. M. B., Carvalho, L., Mason, A. M., Foley, C. N., Gkatzionis, A., Jones, P. B., & Burgess, S.
- Venue
- Molecular Psychiatry
- Published
- 2019-03-19
- Volume
- 25
- Issue
- 7
- Pages
- 1477-1486
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W4231184754
- Cited by
- 281
- References
- 72
- FWCI
- 16.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
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