Details

Autor(en) / Beteiligte

• García-González, Judit
• Tansey, Katherine E.
• Hauser, Joanna
• Henigsberg, Neven
• Maier, Wolfgang
• Mors, Ole
• Placentino, Anna
• Rietschel, Marcella
• Souery, Daniel
• Žagar, Tina
• Czerski, Piotr M.
• Jerman, Borut
• Buttenschøn, Henriette N.
• Schulze, Thomas G.
• Zobel, Astrid
• Farmer, Anne
• Aitchison, Katherine J.
• Craig, Ian
• McGuffin, Peter
• Giupponi, Michel
• Perroud, Nader
• Bondolfi, Guido
• Evans, David
• O'Donovan, Michael
• Peters, Tim J.
• Wendland, Jens R.
• Lewis, Glyn
• Kapur, Shitij
• Perlis, Roy
• Arolt, Volker
• Domschke, Katharina
• Breen, Gerome
• Curtis, Charles
• Sang-Hyuk, Lee
• Kan, Carol
• Newhouse, Stephen
• Patel, Hamel
• Baune, Bernhard T.
• Uher, Rudolf
• Lewis, Cathryn M.
• Fabbri, Chiara

Titel

Pharmacogenetics of antidepressant response: A polygenic approach

Ist Teil von

• Progress in neuro-psychopharmacology & biological psychiatry, 2017-04, Vol.75, p.128-134

Ort / Verlag

England: Elsevier Inc

Erscheinungsjahr

2017

Quelle

Elsevier ScienceDirect Journals

Beschreibungen/Notizen

• Major depressive disorder (MDD) has a high personal and socio-economic burden and >60% of patients fail to achieve remission with the first antidepressant. The biological mechanisms behind antidepressant response are only partially known but genetic factors play a relevant role. A combined predictor across genetic variants may be useful to investigate this complex trait. Polygenic risk scores (PRS) were used to estimate multi-allelic contribution to: 1) antidepressant efficacy; 2) its overlap with MDD and schizophrenia. We constructed PRS and tested whether these predicted symptom improvement or remission from the GENDEP study (n=736) to the STAR*D study (n=1409) and vice-versa, including the whole sample or only patients treated with escitalopram or citalopram. Using summary statistics from Psychiatric Genomics Consortium for MDD and schizophrenia, we tested whether PRS from these disorders predicted symptom improvement in GENDEP, STAR*D, and five further studies (n=3756). No significant prediction of antidepressant efficacy was obtained from PRS in GENDEP/STAR*D but this analysis might have been underpowered. There was no evidence of overlap in the genetics of antidepressant response with either MDD or schizophrenia, either in individual studies or a meta-analysis. Stratifying by antidepressant did not alter the results. We identified no significant predictive effect using PRS between pharmacogenetic studies. The genetic liability to MDD or schizophrenia did not predict response to antidepressants, suggesting differences between the genetic component of depression and treatment response. Larger or more homogeneous studies will be necessary to obtain a polygenic predictor of antidepressant response. •Antidepressant efficacy, major depressive disorder and schizophrenia are complex polygenic traits.•Genetic overlap has been previously demonstrated among different psychiatric disorders.•Polygenic risk scores did not predict antidepressant efficacy between two independent samples.•Polygenic risk scores did not show overlap between antidepressant efficacy and major depressive disorder.•Polygenic risk scores did not show overlap between antidepressant efficacy and schizophrenia.