Amitai, Maya Kronenberg, Sefi Carmel, Miri Michaelovsky, Elena Frisch, Amos Brent, David Apter, Alan Chen, Alon Weizman, Abraham and Fennig, Silvana 2016. Pharmacogenetics of citalopram-related side effects in children with depression and/or anxiety disorders. Journal of Neural Transmission, Vol. 123, Issue. 11, p. 1347.
Gonzalez, Suzanne D. Williams, Aislinn J. Blacker, Caren J. Voort, Jennifer L. Vande Schak, Kathryn M. Nemeroff, Charles B. Widge, Alik S. and Tohen, Mauricio 2016. Putative biological predictors of treatment response in bipolar disorders. Personalized Medicine in Psychiatry,
Lett, Tristram A. Walter, Henrik and Brandl, Eva J. 2016. Pharmacogenetics and Imaging–Pharmacogenetics of Antidepressant Response: Towards Translational Strategies. CNS Drugs, Vol. 30, Issue. 12, p. 1169.
Lin, Eugene and Tsai, Shih-Jen 2016. Genome-wide microarray analysis of gene expression profiling in major depression and antidepressant therapy. Progress in Neuro-Psychopharmacology and Biological Psychiatry, Vol. 64, p. 334.
Adkins, Daniel E. Clark, Shaunna L. Copeland, William E. Kennedy, Martin Conway, Kevin Angold, Adrian Maes, Hermine Liu, Youfang Kumar, Gaurav Erkanli, Alaattin Patkar, Ashwin A. Silberg, Judy Brown, Tyson H. Fergusson, David M. Horwood, L. John Eaves, Lindon van den Oord, Edwin J. C. G. Sullivan, Patrick F. and Costello, E. J. 2015. Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood. Twin Research and Human Genetics, Vol. 18, Issue. 04, p. 335.
Baldwin, David S. Manson, Chris and Nowak, Magda 2015. Impact of Antidepressant Drugs on Sexual Function and Satisfaction. CNS Drugs, Vol. 29, Issue. 11, p. 905.
Chan, Sze Ling Jin, Shengnan Loh, Marie and Brunham, Liam R 2015. Progress in understanding the genomic basis for adverse drug reactions: a comprehensive review and focus on the role of ethnicity. Pharmacogenomics, Vol. 16, Issue. 10, p. 1161.
Lin, Eugene and Lane, Hsien-Yuan 2015. Genome-wide association studies in pharmacogenomics of antidepressants. Pharmacogenomics, Vol. 16, Issue. 5, p. 555.
Probst-Schendzielorz, Kristina Scholl, Catharina Efimkina, Olga Ersfeld, Eva Viviani, Roberto Serretti, Alessandro Fabbri, Chiara Gurwitz, David Lucae, Susanne Ising, Marcus Paul, Anna Maria Lehmann, Marie-Louise Steffens, Michael Crisafulli, Concetta Calabrò, Marco Holsboer, Florian and Stingl, Julia 2015. CHL1, ITGB3 and SLC6A4 gene expression and antidepressant drug response: results from the Munich Antidepressant Response Signature (MARS) study. Pharmacogenomics, Vol. 16, Issue. 7, p. 689.
Waldinger, Marcel D. 2015. Neurology of Sexual and Bladder Disorders.
Fabbri, Chiara Minarini, Alessandro Matsumoto, Yoshihiko and Serretti, Alessandro 2014. Handbook of Pharmacogenomics and Stratified Medicine.
Puras, Pablo and Mitchell, Philip B. 2014. A worldwide yearly survey of new data in adverse drug reactions and interactions.
Segraves, Robert Taylor and Balon, Richard 2014. Antidepressant-induced sexual dysfunction in men. Pharmacology Biochemistry and Behavior, Vol. 121, p. 132.
Adkins, Daniel E. Souza, Renan P. Åberg, Karolina Clark, Shaunna L. McClay, Joseph L. Sullivan, Patrick F. van den Oord, Edwin J. C. G. and Hsiao, Chuhsing Kate 2013. Genotype-Based Ancestral Background Consistently Predicts Efficacy and Side Effects across Treatments in CATIE and STAR*D. PLoS ONE, Vol. 8, Issue. 2, p. e55239.
Baldwin, David S. Palazzo, M. Carlotta and Masdrakis, Vasilios G. 2013. Reduced Treatment-Emergent Sexual Dysfunction as a Potential Target in the Development of New Antidepressants. Depression Research and Treatment, Vol. 2013, p. 1.
Ballenger, J.C. 2013. Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D. Yearbook of Psychiatry and Applied Mental Health, Vol. 2013, p. 330.
Fabbri, Chiara Di Girolamo, Giulia and Serretti, Alessandro 2013. Pharmacogenetics of antidepressant drugs: An update after almost 20 years of research. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, Vol. 162, Issue. 6, p. 487.
Gurwitz, David and McLeod, Howard L 2013. Genome-wide studies in pharmacogenomics: harnessing the power of extreme phenotypes. Pharmacogenomics, Vol. 14, Issue. 4, p. 337.
Ikeda, Masashi Okahisa, Yuko Aleksic, Branko Won, Mujun Kondo, Naoki Naruse, Nobuya Aoyama-Uehara, Kumi Sora, Ichiro Iyo, Masaomi Hashimoto, Ryota Kawamura, Yoshiya Nishida, Nao Miyagawa, Taku Takeda, Masatoshi Sasaki, Tsukasa Tokunaga, Katsushi Ozaki, Norio Ujike, Hiroshi and Iwata, Nakao 2013. Evidence for Shared Genetic Risk Between Methamphetamine-Induced Psychosis and Schizophrenia. Neuropsychopharmacology, Vol. 38, Issue. 10, p. 1864.
Oved, K Morag, A Pasmanik-Chor, M Rehavi, M Shomron, N and Gurwitz, D 2013. Genome-wide expression profiling of human lymphoblastoid cell lines implicates integrin beta-3 in the mode of action of antidepressants. Translational Psychiatry, Vol. 3, Issue. 10, p. e313.
Understanding individual differences in susceptibility to antidepressant therapy side-effects is essential to optimize the treatment of depression.
We performed genome-wide association studies (GWAS) to search for genetic variation affecting the susceptibility to side-effects. The analysis sample consisted of 1439 depression patients, successfully genotyped for 421K single nucleotide polymorphisms (SNPs), from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Outcomes included four indicators of side-effects: general side-effect burden, sexual side-effects, dizziness and vision/hearing-related side-effects. Our criterion for genome-wide significance was a prespecified threshold ensuring that, on average, only 10% of the significant findings are false discoveries.
Thirty-four SNPs satisfied this criterion. The top finding indicated that 10 SNPs in SACM1L mediated the effects of bupropion on sexual side-effects (p=4.98×10−7, q=0.023). Suggestive findings were also found for SNPs in MAGI2, DTWD1, WDFY4 and CHL1.
Although our findings require replication and functional validation, this study demonstrates the potential of GWAS to discover genes and pathways that could mediate adverse effects of antidepressant medication.
This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.
Full text views reflects the number of PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.
Abstract views reflect the number of visits to the article landing page.
* Views captured on Cambridge Core between September 2016 - 29th May 2017. This data will be updated every 24 hours.