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Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder

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...

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Autores principales: Amare, Azmeraw T., Schubert, Klaus Oliver, Tekola-Ayele, Fasil, Hsu, Yi-Hsiang, Sangkuhl, Katrin, Jenkins, Gregory, Whaley, Ryan M., Barman, Poulami, Batzler, Anthony, Altman, Russ B., Arolt, Volker, Brockmöller, Jürgen, Chen, Chia-Hui, Domschke, Katharina, Hall-Flavin, Daniel K., Hong, Chen-Jee, Illi, Ari, Ji, Yuan, Kampman, Olli, Kinoshita, Toshihiko, Leinonen, Esa, Liou, Ying-Jay, Mushiroda, Taisei, Nonen, Shinpei, Skime, Michelle K., Wang, Liewei, Kato, Masaki, Liu, Yu-Li, Praphanphoj, Verayuth, Stingl, Julia C., Bobo, William V., Tsai, Shih-Jen, Kubo, Michiaki, Klein, Teri E., Weinshilboum, Richard M., Biernacka, Joanna M., Baune, Bernhard T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845551/
https://www.ncbi.nlm.nih.gov/pubmed/29559929
http://dx.doi.org/10.3389/fpsyt.2018.00065
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author Amare, Azmeraw T.
Schubert, Klaus Oliver
Tekola-Ayele, Fasil
Hsu, Yi-Hsiang
Sangkuhl, Katrin
Jenkins, Gregory
Whaley, Ryan M.
Barman, Poulami
Batzler, Anthony
Altman, Russ B.
Arolt, Volker
Brockmöller, Jürgen
Chen, Chia-Hui
Domschke, Katharina
Hall-Flavin, Daniel K.
Hong, Chen-Jee
Illi, Ari
Ji, Yuan
Kampman, Olli
Kinoshita, Toshihiko
Leinonen, Esa
Liou, Ying-Jay
Mushiroda, Taisei
Nonen, Shinpei
Skime, Michelle K.
Wang, Liewei
Kato, Masaki
Liu, Yu-Li
Praphanphoj, Verayuth
Stingl, Julia C.
Bobo, William V.
Tsai, Shih-Jen
Kubo, Michiaki
Klein, Teri E.
Weinshilboum, Richard M.
Biernacka, Joanna M.
Baune, Bernhard T.
author_facet Amare, Azmeraw T.
Schubert, Klaus Oliver
Tekola-Ayele, Fasil
Hsu, Yi-Hsiang
Sangkuhl, Katrin
Jenkins, Gregory
Whaley, Ryan M.
Barman, Poulami
Batzler, Anthony
Altman, Russ B.
Arolt, Volker
Brockmöller, Jürgen
Chen, Chia-Hui
Domschke, Katharina
Hall-Flavin, Daniel K.
Hong, Chen-Jee
Illi, Ari
Ji, Yuan
Kampman, Olli
Kinoshita, Toshihiko
Leinonen, Esa
Liou, Ying-Jay
Mushiroda, Taisei
Nonen, Shinpei
Skime, Michelle K.
Wang, Liewei
Kato, Masaki
Liu, Yu-Li
Praphanphoj, Verayuth
Stingl, Julia C.
Bobo, William V.
Tsai, Shih-Jen
Kubo, Michiaki
Klein, Teri E.
Weinshilboum, Richard M.
Biernacka, Joanna M.
Baune, Bernhard T.
author_sort Amare, Azmeraw T.
collection PubMed
description 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 at p < 0.05 across P(T) thresholds 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 near YEATS4 gene and (b) SSRI remission and neuroticism eight loci near PRAG1, MSRA, XKR6, ELAVL2, PLXNC1, PLEKHM1, and BRUNOL4 genes. 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.
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spelling pubmed-58455512018-03-20 Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder Amare, Azmeraw T. Schubert, Klaus Oliver Tekola-Ayele, Fasil Hsu, Yi-Hsiang Sangkuhl, Katrin Jenkins, Gregory Whaley, Ryan M. Barman, Poulami Batzler, Anthony Altman, Russ B. Arolt, Volker Brockmöller, Jürgen Chen, Chia-Hui Domschke, Katharina Hall-Flavin, Daniel K. Hong, Chen-Jee Illi, Ari Ji, Yuan Kampman, Olli Kinoshita, Toshihiko Leinonen, Esa Liou, Ying-Jay Mushiroda, Taisei Nonen, Shinpei Skime, Michelle K. Wang, Liewei Kato, Masaki Liu, Yu-Li Praphanphoj, Verayuth Stingl, Julia C. Bobo, William V. Tsai, Shih-Jen Kubo, Michiaki Klein, Teri E. Weinshilboum, Richard M. Biernacka, Joanna M. Baune, Bernhard T. Front Psychiatry Psychiatry 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 at p < 0.05 across P(T) thresholds 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 near YEATS4 gene and (b) SSRI remission and neuroticism eight loci near PRAG1, MSRA, XKR6, ELAVL2, PLXNC1, PLEKHM1, and BRUNOL4 genes. 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. Frontiers Media S.A. 2018-03-06 /pmc/articles/PMC5845551/ /pubmed/29559929 http://dx.doi.org/10.3389/fpsyt.2018.00065 Text en Copyright © 2018 Amare, Schubert, Tekola-Ayele, Hsu, Sangkuhl, Jenkins, Whaley, Barman, Batzler, Altman, Arolt, Brockmöller, Chen, Domschke, Hall-Flavin, Hong, Illi, Ji, Kampman, Kinoshita, Leinonen, Liou, Mushiroda, Nonen, Skime, Wang, Kato, Liu, Praphanphoj, Stingl, Bobo, Tsai, Kubo, Klein, Weinshilboum, Biernacka and Baune. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Amare, Azmeraw T.
Schubert, Klaus Oliver
Tekola-Ayele, Fasil
Hsu, Yi-Hsiang
Sangkuhl, Katrin
Jenkins, Gregory
Whaley, Ryan M.
Barman, Poulami
Batzler, Anthony
Altman, Russ B.
Arolt, Volker
Brockmöller, Jürgen
Chen, Chia-Hui
Domschke, Katharina
Hall-Flavin, Daniel K.
Hong, Chen-Jee
Illi, Ari
Ji, Yuan
Kampman, Olli
Kinoshita, Toshihiko
Leinonen, Esa
Liou, Ying-Jay
Mushiroda, Taisei
Nonen, Shinpei
Skime, Michelle K.
Wang, Liewei
Kato, Masaki
Liu, Yu-Li
Praphanphoj, Verayuth
Stingl, Julia C.
Bobo, William V.
Tsai, Shih-Jen
Kubo, Michiaki
Klein, Teri E.
Weinshilboum, Richard M.
Biernacka, Joanna M.
Baune, Bernhard T.
Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title_full Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title_fullStr Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title_full_unstemmed Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title_short Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder
title_sort association of the polygenic scores for personality traits and response to selective serotonin reuptake inhibitors in patients with major depressive disorder
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845551/
https://www.ncbi.nlm.nih.gov/pubmed/29559929
http://dx.doi.org/10.3389/fpsyt.2018.00065
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