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GWAS Study

Exploratory genome-wide association analysis of response to ketamine and a polygenic analysis of response to scopolamine in depression.

Guo W, Machado-Vieira R, Mathew S et al.

30552317 PubMed ID
GWAS Study Type
157 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GW
Guo W
MR
Machado-Vieira R
MS
Mathew S
MJ
Murrough JW
CD
Charney DS
GM
Grunebaum M
OM
Oquendo MA
KB
Kadriu B
AN
Akula N
HI
Henter I
YP
Yuan P
MK
Merikangas K
DW
Drevets W
FM
Furey M
MJ
Mann JJ
MF
McMahon FJ
ZC
Zarate CA
SY
Shugart YY
Chapter II

Abstract

Summary of the research findings

Growing evidence suggests that the glutamatergic modulator ketamine has rapid antidepressant effects in treatment-resistant depressed subjects. The anticholinergic agent scopolamine has also shown promise as a rapid-acting antidepressant. This study applied genome-wide markers to investigate the role of genetic variants in predicting acute antidepressant response to both agents. The ketamine-treated sample included 157 unrelated European subjects with major depressive disorder (MDD) or bipolar disorder (BD). The scopolamine-treated sample comprised 37 unrelated European subjects diagnosed with either MDD or BD who had a current Major Depressive Episode (MDE), and had failed at least two adequate treatment trials for depression. Change in Montgomery-Asberg Depression Rating Scale (MADRS) or the 17-item Hamilton Depression Rating Scale (HAM-D) scale scores at day 1 (24 h post-treatment) was considered the primary outcome. Here, we conduct pilot genome-wide association study (GWAS) analyses to identify potential markers of ketamine response and dissociative side effects. Polygenic risk score analysis of SNPs ranked by the strength of their association with ketamine response was then calculated in order to assess whether common genetic markers from the ketamine study could predict response to scopolamine. Findings require replication in larger samples in light of low power of analyses of these small samples. Neverthless, these data provide a promising illustration of our future potential to identify genetic variants underlying rapid treatment response in mood disorders and may ultimately guide individual patient treatment selection in the future.

157 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

157
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S.
Recruitment Country
Chapter IV

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