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Pregled bibliografske jedinice broj: 683025

Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis


Tansey, Katherine E.; Guipponi, Michel; Perroud, Nader; Bondolfi, Guido; Domenici, Enrico; Evans, David; Hall, Stephanie K.; Hauser, Joanna; Henigsberg, Neven; Hu, Xiaolan et al.
Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis // PLoS medicine, 9 (2013), 10; e1001326, 10 doi:10.1371/journal.pmed.1001326 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 683025 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis

Autori
Tansey, Katherine E. ; Guipponi, Michel ; Perroud, Nader ; Bondolfi, Guido ; Domenici, Enrico ; Evans, David ; Hall, Stephanie K. ; Hauser, Joanna ; Henigsberg, Neven ; Hu, Xiaolan ; Jerman, Borut ; Maier, Wolfgang ; Mors, Ole ; O'Donovan, Michael ; Peters, Tim J. ; Placentino, Anna ; Rietschel, Marcella ; Souery, Daniel ; Aitchison, Katherine J. ; Craig, Ian ; Farmer, Anne ; Wendland, Jens R. ; Malafosse, Alain ; Holmans, Peter ; Lewis, Glyn ; Lewis, Cathryn M. ; Stensbøl, Tine Bryan ; Kapur, Shitij ; McGuffin, Peter ; Uher, Rudolf

Izvornik
PLoS medicine (1549-1277) 9 (2013), 10; E1001326, 10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
genetic predictors ; response to serotonergic and noradrenergic antidepressants ; major depressive disorder

Sažetak
It has been suggested that outcomes of antidepressant treatment for major depressive disorder could be significantly improved if treatment choice is informed by genetic data. This study aims to test the hypothesis that common genetic variants can predict response to antidepressants in a clinically meaningful way. The NEWMEDS consortium, an academia- industry partnership, assembled a database of over 2, 000 European-ancestry individuals with major depressive disorder, prospectively measured treatment outcomes with serotonin reuptake inhibiting or noradrenaline reuptake inhibiting antidepressants and available genetic samples from five studies (three randomized controlled trials, one part-randomized controlled trial, and one treatment cohort study). After quality control, a dataset of 1, 790 individuals with high-quality genome-wide genotyping provided adequate power to test the hypotheses that antidepressant response or a clinically significant differential response to the two classes of antidepressants could be predicted from a single common genetic polymorphism. None of the more than half million genetic markers significantly predicted response to antidepressants overall, serotonin reuptake inhibitors, or noradrenaline reuptake inhibitors, or differential response to the two types of antidepressants (genome-wide significance p<5×10(-8)). No biological pathways were significantly overrepresented in the results. No significant associations (genome-wide significance p<5×10(-8)) were detected in a meta-analysis of NEWMEDS and another large sample (STAR*D), with 2, 897 individuals in total. Polygenic scoring found no convergence among multiple associations in NEWMEDS and STAR*D. No single common genetic variant was associated with antidepressant response at a clinically relevant level in a European-ancestry cohort. Effects specific to particular antidepressant drugs could not be investigated in the current study.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
MZOS-108-1081870-1880 - 1H-MRS promjene u predviđanju terapijskog odgovora, relapsa i povrata depresije (Henigsberg, Neven, MZOS ) ( CroRIS)

Ustanove:
Medicinski fakultet, Zagreb

Profili:

Avatar Url Neven Henigsberg (autor)

Poveznice na cjeloviti tekst rada:

doi journals.plos.org

Citiraj ovu publikaciju:

Tansey, Katherine E.; Guipponi, Michel; Perroud, Nader; Bondolfi, Guido; Domenici, Enrico; Evans, David; Hall, Stephanie K.; Hauser, Joanna; Henigsberg, Neven; Hu, Xiaolan et al.
Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis // PLoS medicine, 9 (2013), 10; e1001326, 10 doi:10.1371/journal.pmed.1001326 (međunarodna recenzija, članak, znanstveni)
Tansey, K., Guipponi, M., Perroud, N., Bondolfi, G., Domenici, E., Evans, D., Hall, S., Hauser, J., Henigsberg, N. & Hu, X. (2013) Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis. PLoS medicine, 9 (10), e1001326, 10 doi:10.1371/journal.pmed.1001326.
@article{article, author = {Tansey, Katherine E. and Guipponi, Michel and Perroud, Nader and Bondolfi, Guido and Domenici, Enrico and Evans, David and Hall, Stephanie K. and Hauser, Joanna and Henigsberg, Neven and Hu, Xiaolan and Jerman, Borut and Maier, Wolfgang and Mors, Ole and O'Donovan, Michael and Peters, Tim J. and Placentino, Anna and Rietschel, Marcella and Souery, Daniel and Aitchison, Katherine J. and Craig, Ian and Farmer, Anne and Wendland, Jens R. and Malafosse, Alain and Holmans, Peter and Lewis, Glyn and Lewis, Cathryn M. and Stensb\ol, Tine Bryan and Kapur, Shitij and McGuffin, Peter and Uher, Rudolf}, year = {2013}, pages = {10}, DOI = {10.1371/journal.pmed.1001326}, chapter = {e1001326}, keywords = {genetic predictors, response to serotonergic and noradrenergic antidepressants, major depressive disorder}, journal = {PLoS medicine}, doi = {10.1371/journal.pmed.1001326}, volume = {9}, number = {10}, issn = {1549-1277}, title = {Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis}, keyword = {genetic predictors, response to serotonergic and noradrenergic antidepressants, major depressive disorder}, chapternumber = {e1001326} }
@article{article, author = {Tansey, Katherine E. and Guipponi, Michel and Perroud, Nader and Bondolfi, Guido and Domenici, Enrico and Evans, David and Hall, Stephanie K. and Hauser, Joanna and Henigsberg, Neven and Hu, Xiaolan and Jerman, Borut and Maier, Wolfgang and Mors, Ole and O'Donovan, Michael and Peters, Tim J. and Placentino, Anna and Rietschel, Marcella and Souery, Daniel and Aitchison, Katherine J. and Craig, Ian and Farmer, Anne and Wendland, Jens R. and Malafosse, Alain and Holmans, Peter and Lewis, Glyn and Lewis, Cathryn M. and Stensb\ol, Tine Bryan and Kapur, Shitij and McGuffin, Peter and Uher, Rudolf}, year = {2013}, pages = {10}, DOI = {10.1371/journal.pmed.1001326}, chapter = {e1001326}, keywords = {genetic predictors, response to serotonergic and noradrenergic antidepressants, major depressive disorder}, journal = {PLoS medicine}, doi = {10.1371/journal.pmed.1001326}, volume = {9}, number = {10}, issn = {1549-1277}, title = {Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder : A genome-wide analysis of individual-level data and a meta-analysis}, keyword = {genetic predictors, response to serotonergic and noradrenergic antidepressants, major depressive disorder}, chapternumber = {e1001326} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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