Literature DB >> 30883267

A systematic review of genome-wide association studies of antipsychotic response.

Josiah D Allen1,2, Jeffrey R Bishop1,3.   

Abstract

Clinical symptom response to antipsychotic medications is highly variable. Genome-wide association studies (GWAS) provide a 'hypothesis-free' method of interrogating the genome for biomarkers of antipsychotic response. We performed a systematic review of GWAS findings for antipsychotic efficacy or effectiveness. 14 studies met our inclusion criteria, ten of which examined antipsychotic response using quantitative rating scales to measure symptom improvement. 15 genome-wide significant loci were identified, seven of which were replicated in other antipsychotic GWAS publications: CNTNAP5, GRID2, GRM7, 8q24 (KCNK9), PCDH7, SLC1A1 and TNIK. Notably, four replicated loci are involved in glutamatergic pathways. Additional validation and evaluation of the biological significance of these markers is warranted. These markers should also be evaluated for clinical utility, especially in the context of other validated pharmacogenomic variants (e.g., CYP450 genes). These findings may generate new avenues for development of novel antipsychotic treatments.

Entities:  

Keywords:  GWAS; antipsychotic; genome-wide association study; pharmacogenomics; psychopharmacology; schizophrenia; systematic review; treatment response

Year:  2019        PMID: 30883267      PMCID: PMC6563266          DOI: 10.2217/pgs-2018-0163

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  7 in total

1.  Analysis of genetic and clinical factors associated with buprenorphine response.

Authors:  Richard C Crist; Rachel Vickers-Smith; Rachel L Kember; Christopher T Rentsch; Heng Xu; E Jennifer Edelman; Emily E Hartwell; Kyle M Kampman; Henry R Kranzler
Journal:  Drug Alcohol Depend       Date:  2021-08-28       Impact factor: 4.852

2.  Pharmacogenetics of Antipsychotic Treatment in Schizophrenia.

Authors:  Samar S M Elsheikh; Daniel J Müller; Jennie G Pouget
Journal:  Methods Mol Biol       Date:  2022

3.  Genome-wide association study of pain sensitivity assessed by questionnaire and the cold pressor test.

Authors:  Pierre Fontanillas; Achim Kless; John Bothmer; Joyce Y Tung
Journal:  Pain       Date:  2021-12-17       Impact factor: 7.926

4.  Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia.

Authors:  Chi-Shin Wu; Alex R Luedtke; Ekaterina Sadikova; Hui-Ju Tsai; Shih-Cheng Liao; Chen-Chung Liu; Susan Shur-Fen Gau; Tyler J VanderWeele; Ronald C Kessler
Journal:  JAMA Netw Open       Date:  2020-02-05

5.  Delineating significant genome-wide associations of variants with antipsychotic and antidepressant treatment response: implications for clinical pharmacogenomics.

Authors:  Maria Koromina; Stefania Koutsilieri; George P Patrinos
Journal:  Hum Genomics       Date:  2020-01-15       Impact factor: 4.639

6.  Solute Carrier Family 1 (SLC1A1) Contributes to Susceptibility and Psychopathology Symptoms of Schizophrenia in the Han Chinese Population.

Authors:  Wenqiang Li; Xi Su; Tengfei Chen; Zhen Li; Yongfeng Yang; Luwen Zhang; Qing Liu; Minglong Shao; Yan Zhang; Minli Ding; Yanli Lu; Hongyan Yu; Xiaoduo Fan; Meng Song; Luxian Lv
Journal:  Front Psychiatry       Date:  2020-09-23       Impact factor: 4.157

7.  TNIK influence the effects of antipsychotics on Wnt/β-catenin signaling pathway.

Authors:  Ruixue Yuan; Yaojing Li; Yingmei Fu; Ailing Ning; Dongxiang Wang; Ran Zhang; Shunying Yu; Qingqing Xu
Journal:  Psychopharmacology (Berl)       Date:  2021-08-05       Impact factor: 4.530

  7 in total

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