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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
|
|---|---|
| Published in |
Frontiers in Psychiatry, March 2018
|
| DOI | 10.3389/fpsyt.2018.00065 |
| Pubmed ID | |
| Authors |
Azmeraw T. Amare, Klaus Oliver Schubert, Fasil Tekola-Ayele, Yi-Hsiang Hsu, Katrin Sangkuhl, Gregory Jenkins, Ryan M. Whaley, Poulami Barman, Anthony Batzler, Russ B. Altman, Volker Arolt, Jürgen Brockmöller, Chia-Hui Chen, Katharina Domschke, Daniel K. Hall-Flavin, Chen-Jee Hong, Ari Illi, Yuan Ji, Olli Kampman, Toshihiko Kinoshita, Esa Leinonen, Ying-Jay Liou, Taisei Mushiroda, Shinpei Nonen, Michelle K. Skime, Liewei Wang, Masaki Kato, Yu-Li Liu, Verayuth Praphanphoj, Julia C. Stingl, William V. Bobo, Shih-Jen Tsai, Michiaki Kubo, Teri E. Klein, Richard M. Weinshilboum, Joanna M. Biernacka, Bernhard T. Baune |
| Abstract |
Studies reported a strong genetic correlation between the Big Five personality traits and major depressive disorder (MDD). Moreover, personality traits are thought to be associated with response to antidepressants treatment that might partly be mediated by genetic factors. In this study, we examined whether polygenic scores (PGSs) derived from the Big Five personality traits predict treatment response and remission in patients with MDD who were prescribed selective serotonin reuptake inhibitors (SSRIs). In addition, we performed meta-analyses of genome-wide association studies (GWASs) on these traits to identify genetic variants underpinning the cross-trait polygenic association. The PGS analysis was performed using data from two cohorts: the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS,n = 529) and the International SSRI Pharmacogenomics Consortium (ISPC,n = 865). The cross-trait GWAS meta-analyses were conducted by combining GWAS summary statistics on SSRIs treatment outcome and on the personality traits. The results showed that the PGS for openness and neuroticism were associated with SSRIs treatment outcomes atp < 0.05 across PTthresholds in both cohorts. A significant association was also found between the PGS for conscientiousness and SSRIs treatment response in the PGRN-AMPS sample. In the cross-trait GWAS meta-analyses, we identified eight loci associated with (a) SSRIs response and conscientiousness nearYEATS4gene and (b) SSRI remission and neuroticism eight loci nearPRAG1, MSRA, XKR6, ELAVL2, PLXNC1, PLEKHM1, andBRUNOL4genes. An assessment of a polygenic load for personality traits may assist in conjunction with clinical data to predict whether MDD patients might respond favorably to SSRIs. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Indonesia | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 25% |
| Student > Ph. D. Student | 13 | 11% |
| Student > Master | 12 | 11% |
| Other | 9 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 22 | 19% |
| Unknown | 23 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 16% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Psychology | 17 | 15% |
| Neuroscience | 9 | 8% |
| Agricultural and Biological Sciences | 8 | 7% |
| Other | 14 | 12% |
| Unknown | 31 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 31 December 2021.
All research outputs
#1,576,069
of 24,791,202 outputs
Outputs from Frontiers in Psychiatry
#916
of 12,016 outputs
Outputs of similar age
#34,494
of 337,356 outputs
Outputs of similar age from Frontiers in Psychiatry
#28
of 144 outputs
Altmetric has tracked 24,791,202 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 92% of its peers.
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 337,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.