International consortium on the genetics of electroconvulsive therapy and severe depressive disorders (Gen-ECT-ic)

Soda, T. et al. (2020) International consortium on the genetics of electroconvulsive therapy and severe depressive disorders (Gen-ECT-ic). European Archives of Psychiatry and Clinical Neuroscience, 270, pp. 921-932. (doi: 10.1007/s00406-019-01087-w) (PMID:31802253) (PMCID:PMC7385979)

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Recent genome-wide association studies have demonstrated that the genetic burden associated with depression correlates with depression severity. Therefore, conducting genetic studies of patients at the most severe end of the depressive disorder spectrum, those with treatment-resistant depression and who are prescribed electroconvulsive therapy (ECT), could lead to a better understanding of the genetic underpinnings of depression. Despite ECT being one of the most effective forms of treatment for severe depressive disorders, it is usually placed at the end of treatment algorithms of current guidelines. This is perhaps because ECT has controlled risk and logistical demands including use of general anaesthesia and muscle relaxants and side-effects such as short-term memory impairment. Better understanding of the genetics and biology of ECT response and of cognitive side-effects could lead to more personalized treatment decisions. To enhance the understanding of the genomics of severe depression and ECT response, researchers and ECT providers from around the world and from various depression or ECT networks, but not limited to, such as the Psychiatric Genomics Consortium, the Clinical Alliance and Research in ECT, and the National Network of Depression Centers have formed the Genetics of ECT International Consortium (Gen-ECT-ic). Gen-ECT-ic will organize the largest clinical and genetic collection to date to study the genomics of severe depressive disorders and response to ECT, aiming for 30,000 patients worldwide using a GWAS approach. At this stage it will be the largest genomic study on treatment response in depression. Retrospective data abstraction and prospective data collection will be facilitated by a uniform data collection approach that is flexible and will incorporate data from many clinical practices. Gen-ECT-ic invites all ECT providers and researchers to join its efforts.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Smith, Professor Daniel and Langan-Martin, Dr Julie
Authors: Soda, T., McLoughlin, D. M., Clark, S. R., Oltedal, L., Kessler, U., Haavik, J., Bousman, C., Smith, D. J., Bioque, M., Clements, C. C., Loo, C., Vila-Rodriguez, F., Minelli, A., Mickey, B. J., Milev, R., Docherty, A. R., Langan Martin, J., Achtyes, E. D., Arolt, V., Redlich, R., Dannlowski, U., Cardoner, N., Clare, E., Craddock, N., Di Florio, A., Dmitrzak-Weglarz, M., Forty, L., Gordon-Smith, K., Husain, M., Ingram, W. M., Jones, L., Jones, I., Juruena, M., Kirov, G., Landén, M., Müller, D. J., Nordensköld, A., Pålsson, E., Paul, M., Permoda, A., Pliszka, B., Rea, J., Schubert, K. O., Sonnen, J. A., Soria, V., Stageman, W., Takamiya, A., Urretavizacaya, M., Watson, S., Zavorotny, M., Young, A. H., Vieta, E., Rybakowski, J. K., Gennarelli, M., Zandi, P. P., Sullivan, P. F., and Baune, B. T.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing
Journal Name:European Archives of Psychiatry and Clinical Neuroscience
ISSN (Online):1433-8491
Published Online:04 December 2019

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