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GWAS Study

Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics.

Ji Y, Biernacka JM, Hebbring S et al.

22907730 PubMed ID
GWAS Study Type
1706 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

JY
Ji Y
BJ
Biernacka JM
HS
Hebbring S
CY
Chai Y
JG
Jenkins GD
BA
Batzler A
SK
Snyder KA
DM
Drews MS
DZ
Desta Z
FD
Flockhart D
MT
Mushiroda T
KM
Kubo M
NY
Nakamura Y
KN
Kamatani N
SD
Schaid D
WR
Weinshilboum RM
MD
Mrazek DA
Chapter II

Abstract

Summary of the research findings

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. While no SNP associations reached the genome-wide level of significance, 14 SNPs of interest were identified for functional analysis. The rs11144870 SNP in the riboflavin kinase (RFK) gene on chromosome 9 was associated with 8-week treatment response (odds ratio (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 8-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 analytical strategy is to provide insights into the potential relevance of biologically plausible observed associations.

Up to 499 European ancestry cases

Chapter III

Study Statistics

Key metrics and study information

1706
Total Participants
GWAS
Study Type
Yes
Replicated
1,207 European ancestry cases
Replication Participants
European
Ancestry
U.S.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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