Genetic Risk for Psychiatric Disorders and Telomere Length

Palmos, AB and Breen, G and Goodwin, L and Frissa, S and Hatch, SL and Hotopf, M and Thuret, S and Lewis, CM and Powell, TR (2018) Genetic Risk for Psychiatric Disorders and Telomere Length. Frontiers in Genetics, 9. ISSN 1664-8021

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Abstract

Background: Previous studies have revealed associations between psychiatric disorder diagnosis and shorter telomere length. Here, we attempt to discern whether genetic risk for psychiatric disorders, or use of pharmacological treatments (i.e., antidepressants), predict shorter telomere length and risk for aging-related disease in a United Kingdom population sample. Methods: DNA samples from blood were available from 351 participants who were recruited as part of the South East London Community Health (SELCoH) Study, and for which whole-genome genotype data was available. Leukocyte telomere length was characterized using quantitative polymerase chain reactions. Individualized polygenic risk scores for major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) were calculated using Psychiatric Genomics Consortium summary statistics. We subsequently performed linear models, to discern the impact polygenic risk for psychiatric disorders (an etiological risk factor) and antidepressant use (common pharmacological treatment) have on telomere length, whilst accounting for other lifestyle/health factors (e.g., BMI, smoking). Results: There were no significant associations between polygenic risk for any of the psychiatric disorders tested and telomere length (p > 0.05). Antidepressant use was significantly associated with shorter telomere length and this was independent from a depression diagnosis or current depression severity (p ≤ 0.01). Antidepressant use was also associated with a significantly higher risk of aging-related disease, which was independent from depression diagnosis (p ≤ 0.05). Conclusion: Genetic risk for psychiatric disorders is not associated with shorter telomere length. Further studies are now needed to prospectively characterize if antidepressant use increases risk for aging-related disease and telomere shortening, or whether people who age faster and have aging-related diseases are just more likely to be prescribed antidepressants.

Item Type:
Journal Article
Journal or Publication Title:
Frontiers in Genetics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700/2716
Subjects:
ID Code:
169109
Deposited By:
Deposited On:
26 Apr 2022 12:30
Refereed?:
Yes
Published?:
Published
Last Modified:
03 May 2022 04:27