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Cited by 288

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

A Genomewide Association Study of Citalopram Response in Major Depressive Disorder

Open access
Garriock, Holly A., Kraft, Jeffrey B., Shyn, Stanley I., Peters, Eric J., Yokoyama, Jennifer S., Jenkins, Gregory D., Reinalda, Megan S., Slager, Susan L., McGrath, Patrick J., Hamilton, Steven P.·2010·Biological Psychiatry

Abstract

Background Antidepressant response is likely influenced by genetic constitution, but the actual genes involved have yet to be determined. We have carried out a genome-wide association study to determine if common DNA variation influences antidepressant response. Methods Our sample is derived from Level 1 participants in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, all treated with citalopram. Association for the response phenotype included 883 responders and 608 non- responders. For the remission phenotype, 743 subjects that achieved remission were compared to 608 non-responders. We used a subset of SNPs (n = 430,198) from the Affymetrix 500K and 5.0 Human SNP Arrays, and association analysis was carried out after correcting for population stratification. Results We identified three SNPs associated with response with p-values less than 1 × 10−5 near the UBE3C gene (rs6966038, p = 4.65 × 10−7), another 100kb away from BMP7 (rs6127921, p = 3.45 × 10−6), and a third that is intronic in the RORA gene (rs809736, p = 8.19 × 10−6). These same SNPs were also associated with remission. Thirty-nine additional SNPs are of interest with p-values ≤ 0.0001 for the response and remission phenotypes. Conclusions Although the findings reported here do not meet a genome-wide threshold for significance, the regions identified from this study provide targets for independent replication and novel pathways to investigate mechanisms of antidepressant response. This study was not placebo controlled, making it possible that we are also observing associations to non-specific aspects of drug treatment of depression.

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Metadata

Authors
Garriock, H. A., Kraft, J. B., Shyn, S. I., Peters, E. J., Yokoyama, J. S., Jenkins, G. D., Reinalda, M. S., Slager, S. L., McGrath, P. J., & Hamilton, S. P.
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2010-01
Volume
67
Issue
2
Pages
133-138
ISSN
0006-3223 (ISSN-L)
OpenAlex
W2059483509
Cited by
288
References
49
FWCI
16.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Genomewide Association Study of Citalopram Response in Major Depressive Disorder. https://app.cochat.ai/papers/10.1016/j.biopsych.2009.08.029
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Garriock, H. A., Kraft, J. B., Shyn, S. I., Peters, E. J., Yokoyama, J. S., Jenkins, G. D., Reinalda, M. S., Slager, S. L., McGrath, P. J., & Hamilton, S. P. (2010). A Genomewide Association Study of Citalopram Response in Major Depressive Disorder. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2009.08.029

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.