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Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics
A genome-wide association (GWA) study of treatment outcomes (response and remission) of selective serotonin reuptake inhibitors (SSRIs) was conducted using 529 subjects with major depressive disorder (MDD). While no SNP associations reached the genome-wide level of significance, 14 SNPs of interest...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941038/ https://www.ncbi.nlm.nih.gov/pubmed/22907730 http://dx.doi.org/10.1038/tpj.2012.32 |
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author | Ji, Yuan Biernacka, Joanna M. Hebbring, Scott Chai, Yubo Jenkins, Gregory D. Batzler, Anthony Snyder, Karen A. Drews, Maureen S. Desta, Zeruesenay Flockhart, David Mushiroda, Taisei Kubo, Michiaki Nakamura, Yusuke Kamatani, Naoyuki Schaid, Daniel Weinshilboum, Richard M. Mrazek, David A. |
author_facet | Ji, Yuan Biernacka, Joanna M. Hebbring, Scott Chai, Yubo Jenkins, Gregory D. Batzler, Anthony Snyder, Karen A. Drews, Maureen S. Desta, Zeruesenay Flockhart, David Mushiroda, Taisei Kubo, Michiaki Nakamura, Yusuke Kamatani, Naoyuki Schaid, Daniel Weinshilboum, Richard M. Mrazek, David A. |
author_sort | Ji, Yuan |
collection | PubMed |
description | A genome-wide association (GWA) study of treatment outcomes (response and remission) of selective serotonin reuptake inhibitors (SSRIs) was conducted using 529 subjects with major depressive disorder (MDD). While no SNP associations reached the genome-wide level of significance, 14 SNPs of interest were identified for functional analysis. The rs11144870 SNP in riboflavin kinase (RFK) gene on chromosome 9 was associated with eight week treatment response (OR = 0.42, p = 1.04×10(−6)). The rs915120 SNP in the G protein-coupled receptor kinase 5 (GRK5) gene on chromosome 10 was associated with eight week remission (OR = 0.50, p = 1.15×10(−5)). Both SNPs were shown to influence transcription by a reporter gene assay and to alter nuclear protein binding using an electrophoretic mobility shift assay. This report represents an example of joining functional genomics with traditional GWA study results derived from a GWA analysis of SSRI treatment outcomes. The goal of this analytic strategy is to provide insights into the potential relevance of biologically plausible observed associations. |
format | Online Article Text |
id | pubmed-3941038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
spelling | pubmed-39410382014-04-01 Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics Ji, Yuan Biernacka, Joanna M. Hebbring, Scott Chai, Yubo Jenkins, Gregory D. Batzler, Anthony Snyder, Karen A. Drews, Maureen S. Desta, Zeruesenay Flockhart, David Mushiroda, Taisei Kubo, Michiaki Nakamura, Yusuke Kamatani, Naoyuki Schaid, Daniel Weinshilboum, Richard M. Mrazek, David A. Pharmacogenomics J Article A genome-wide association (GWA) study of treatment outcomes (response and remission) of selective serotonin reuptake inhibitors (SSRIs) was conducted using 529 subjects with major depressive disorder (MDD). While no SNP associations reached the genome-wide level of significance, 14 SNPs of interest were identified for functional analysis. The rs11144870 SNP in riboflavin kinase (RFK) gene on chromosome 9 was associated with eight week treatment response (OR = 0.42, p = 1.04×10(−6)). The rs915120 SNP in the G protein-coupled receptor kinase 5 (GRK5) gene on chromosome 10 was associated with eight week remission (OR = 0.50, p = 1.15×10(−5)). Both SNPs were shown to influence transcription by a reporter gene assay and to alter nuclear protein binding using an electrophoretic mobility shift assay. This report represents an example of joining functional genomics with traditional GWA study results derived from a GWA analysis of SSRI treatment outcomes. The goal of this analytic strategy is to provide insights into the potential relevance of biologically plausible observed associations. 2012-08-21 2013-10 /pmc/articles/PMC3941038/ /pubmed/22907730 http://dx.doi.org/10.1038/tpj.2012.32 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Ji, Yuan Biernacka, Joanna M. Hebbring, Scott Chai, Yubo Jenkins, Gregory D. Batzler, Anthony Snyder, Karen A. Drews, Maureen S. Desta, Zeruesenay Flockhart, David Mushiroda, Taisei Kubo, Michiaki Nakamura, Yusuke Kamatani, Naoyuki Schaid, Daniel Weinshilboum, Richard M. Mrazek, David A. Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title | Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title_full | Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title_fullStr | Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title_full_unstemmed | Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title_short | Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
title_sort | pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941038/ https://www.ncbi.nlm.nih.gov/pubmed/22907730 http://dx.doi.org/10.1038/tpj.2012.32 |
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