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Genome-wide association study of antidepressant response: involvement of the inorganic cation transmembrane transporter activity pathway

Overview of attention for article published in BMC Psychiatry, April 2016
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3 tweeters
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1 Facebook page

Citations

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20 Dimensions

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104 Mendeley
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Title
Genome-wide association study of antidepressant response: involvement of the inorganic cation transmembrane transporter activity pathway
Published in
BMC Psychiatry, April 2016
DOI 10.1186/s12888-016-0813-x
Pubmed ID
Authors

Enrico Cocchi, Chiara Fabbri, Changsu Han, Soo-Jung Lee, Ashwin A. Patkar, Prakash S. Masand, Chi-Un Pae, Alessandro Serretti

Abstract

Genome-wide association studies (GWAS) represent the current frontier in pharmacogenomics. Thousands of subjects of Caucasian ancestry have been included in previous GWAS investigating antidepressant response. GWAS focused on this phenotype are lacking in Asian populations. A sample of 109 major depressive disorder (MDD) patients of Korean origin in antidepressant treatment was collected. Phenotypes were response and remission according to the Hamilton Rating Scale for Depression (HRSD). Genome-wide genotyping was performed using the Illumina Human Omni2.5-8 platform. The same phenotypes were used in the STAR*D level 1 (n = 1677) for independent replication. In order to corroborate findings and increase the comparability between the two datasets, three levels of analysis (SNPs, genes and pathways) were carried out. Bonferroni correction, permutations, and replication across samples were used to reduce the risk of false positives. Among the genes replicated across the two samples (permutated p < 0.05 in both of them), CTNNA3 appeared promising. The inorganic cation transmembrane transporter activity pathway (GO:0022890) was associated with antidepressant response in both samples (p = 2.9e-5 and p = 0.001 in the Korean and STAR*D samples, respectively) and this pathway included CACNA1A, CACNA1C, and CACNB2 genes. The present study supported the involvement of genes coding for subunits of L-type voltage-gated calcium channel in antidepressant efficacy across different ethnicities but replication of findings is required before any definitive statement.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Germany 1 <1%
Unknown 102 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 49%
Student > Ph. D. Student 8 8%
Researcher 8 8%
Student > Master 6 6%
Student > Doctoral Student 5 5%
Other 12 12%
Unknown 14 13%
Readers by discipline Count As %
Psychology 49 47%
Medicine and Dentistry 11 11%
Agricultural and Biological Sciences 7 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Other 10 10%
Unknown 16 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2016.
All research outputs
#8,931,447
of 15,226,494 outputs
Outputs from BMC Psychiatry
#2,188
of 3,399 outputs
Outputs of similar age
#127,235
of 265,061 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 15,226,494 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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