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Genetic Risk for Psychiatric Disorders and Telomere Length

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Genetic Risk for Psychiatric Disorders and Telomere Length. / Palmos, AB; Breen, G; Goodwin, L et al.
In: Frontiers in Genetics, Vol. 9, 468, 16.10.2018.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Palmos, AB, Breen, G, Goodwin, L, Frissa, S, Hatch, SL, Hotopf, M, Thuret, S, Lewis, CM & Powell, TR 2018, 'Genetic Risk for Psychiatric Disorders and Telomere Length', Frontiers in Genetics, vol. 9, 468. https://doi.org/10.3389/fgene.2018.00468

APA

Palmos, AB., Breen, G., Goodwin, L., Frissa, S., Hatch, SL., Hotopf, M., Thuret, S., Lewis, CM., & Powell, TR. (2018). Genetic Risk for Psychiatric Disorders and Telomere Length. Frontiers in Genetics, 9, Article 468. https://doi.org/10.3389/fgene.2018.00468

Vancouver

Palmos AB, Breen G, Goodwin L, Frissa S, Hatch SL, Hotopf M et al. Genetic Risk for Psychiatric Disorders and Telomere Length. Frontiers in Genetics. 2018 Oct 16;9:468. doi: 10.3389/fgene.2018.00468

Author

Palmos, AB ; Breen, G ; Goodwin, L et al. / Genetic Risk for Psychiatric Disorders and Telomere Length. In: Frontiers in Genetics. 2018 ; Vol. 9.

Bibtex

@article{bb556ec233ea4c57a4f7445b31056e0c,
title = "Genetic Risk for Psychiatric Disorders and Telomere Length",
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.",
keywords = "polygenic risk score, psychiatry, antidepressants, aging, telomeres",
author = "AB Palmos and G Breen and L Goodwin and S Frissa and SL Hatch and M Hotopf and S Thuret and CM Lewis and TR Powell",
year = "2018",
month = oct,
day = "16",
doi = "10.3389/fgene.2018.00468",
language = "English",
volume = "9",
journal = "Frontiers in Genetics",
issn = "1664-8021",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - Genetic Risk for Psychiatric Disorders and Telomere Length

AU - Palmos, AB

AU - Breen, G

AU - Goodwin, L

AU - Frissa, S

AU - Hatch, SL

AU - Hotopf, M

AU - Thuret, S

AU - Lewis, CM

AU - Powell, TR

PY - 2018/10/16

Y1 - 2018/10/16

N2 - 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.

AB - 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.

KW - polygenic risk score

KW - psychiatry

KW - antidepressants

KW - aging

KW - telomeres

U2 - 10.3389/fgene.2018.00468

DO - 10.3389/fgene.2018.00468

M3 - Journal article

C2 - 30459805

VL - 9

JO - Frontiers in Genetics

JF - Frontiers in Genetics

SN - 1664-8021

M1 - 468

ER -