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International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic).

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Title: International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic).
Authors: Soda, Takahiro (AUTHOR), McLoughlin, Declan M. (AUTHOR), Clark, Scott R. (AUTHOR), Oltedal, Leif (AUTHOR), Kessler, Ute (AUTHOR), Haavik, Jan (AUTHOR), Bousman, Chad (AUTHOR), Smith, Daniel J. (AUTHOR), Bioque, Miquel (AUTHOR), Clements, Caitlin C. (AUTHOR), Loo, Colleen (AUTHOR), Vila-Rodriguez, Fidel (AUTHOR), Minelli, Alessandra (AUTHOR), Mickey, Brian J. (AUTHOR), Milev, Roumen (AUTHOR), Docherty, Anna R. (AUTHOR), Langan Martin, Julie (AUTHOR), Achtyes, Eric D. (AUTHOR), Arolt, Volker (AUTHOR), Redlich, Ronny (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Oct2020, Vol. 270 Issue 7, p921-932. 12p. 1 Chart.
Subjects: Electroconvulsive therapy, Mental depression, Genetics, Consortia, Short-term memory, Catatonia
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic).
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  Data: <searchLink fieldCode="AR" term="%22Soda%2C+Takahiro%22">Soda, Takahiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McLoughlin%2C+Declan+M%2E%22">McLoughlin, Declan M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clark%2C+Scott+R%2E%22">Clark, Scott R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oltedal%2C+Leif%22">Oltedal, Leif</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kessler%2C+Ute%22">Kessler, Ute</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Haavik%2C+Jan%22">Haavik, Jan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bousman%2C+Chad%22">Bousman, Chad</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Daniel+J%2E%22">Smith, Daniel J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bioque%2C+Miquel%22">Bioque, Miquel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clements%2C+Caitlin+C%2E%22">Clements, Caitlin C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Loo%2C+Colleen%22">Loo, Colleen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vila-Rodriguez%2C+Fidel%22">Vila-Rodriguez, Fidel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Minelli%2C+Alessandra%22">Minelli, Alessandra</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mickey%2C+Brian+J%2E%22">Mickey, Brian J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Milev%2C+Roumen%22">Milev, Roumen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Docherty%2C+Anna+R%2E%22">Docherty, Anna R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Langan+Martin%2C+Julie%22">Langan Martin, Julie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Achtyes%2C+Eric+D%2E%22">Achtyes, Eric D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arolt%2C+Volker%22">Arolt, Volker</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Redlich%2C+Ronny%22">Redlich, Ronny</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Oct2020, Vol. 270 Issue 7, p921-932. 12p. 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Electroconvulsive+therapy%22">Electroconvulsive therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Consortia%22">Consortia</searchLink><br /><searchLink fieldCode="DE" term="%22Short-term+memory%22">Short-term memory</searchLink><br /><searchLink fieldCode="DE" term="%22Catatonia%22">Catatonia</searchLink>
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  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00406-019-01087-w
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