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A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder
BACKGROUND: Patients with opioid use disorder (OUD) display an interindividual variability in their response to medications for opioid use disorder (MOUD). A genetic basis may explain the variability in this response. However, no consensus has been reached regarding which genetic variants significan...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627063/ https://www.ncbi.nlm.nih.gov/pubmed/34838141 http://dx.doi.org/10.1186/s13722-021-00278-y |
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author | Chawar, Caroul Hillmer, Alannah Sanger, Stephanie D’Elia, Alessia Panesar, Balpreet Guan, Lucy Xie, Dave Xiaofei Bansal, Nandini Abdullah, Aamna Kapczinski, Flavio Pare, Guillaume Thabane, Lehana Samaan, Zainab |
author_facet | Chawar, Caroul Hillmer, Alannah Sanger, Stephanie D’Elia, Alessia Panesar, Balpreet Guan, Lucy Xie, Dave Xiaofei Bansal, Nandini Abdullah, Aamna Kapczinski, Flavio Pare, Guillaume Thabane, Lehana Samaan, Zainab |
author_sort | Chawar, Caroul |
collection | PubMed |
description | BACKGROUND: Patients with opioid use disorder (OUD) display an interindividual variability in their response to medications for opioid use disorder (MOUD). A genetic basis may explain the variability in this response. However, no consensus has been reached regarding which genetic variants significantly contribute to MOUD outcomes. OBJECTIVES: This systematic review aims to summarize genome-wide significant findings on MOUD outcomes and critically appraise the quality of the studies involved. METHODS: Databases searched from inception until August 21st, 2020 include: MEDLINE, Web of Science, EMBASE, CINAHL and Pre-CINAHL, GWAS Catalog and GWAS Central. The included studies had to be GWASs that assessed MOUD in an OUD population. All studies were screened in duplicate. The quality of the included studies was scored and assessed using the Q-Genie tool. Quantitative analysis, as planned in the protocol, was not feasible, so the studies were analyzed qualitatively. RESULTS: Our search identified 7292 studies. Five studies meeting the eligibility criteria were included. However, only three studies reported results that met our significance threshold of p ≤ 1.0 × 10(–7). In total, 43 genetic variants were identified. Variants corresponding to CNIH3 were reported to be associated with daily heroin injection in Europeans, OPRM1, TRIB2, and ZNF146 with methadone dose in African Americans, EYS with methadone dose in Europeans, and SPON1 and intergenic regions in chromosomes 9 and 3 with plasma concentrations of S-methadone, R-methadone, and R-EDDP, respectively, in Han Chinese. LIMITATIONS: The limitations of this study include not being able to synthesize the data in a quantitative way and a conservative eligibility and data collection model. CONCLUSION: The results from this systematic review will aid in highlighting significant genetic variants that can be replicated in future OUD pharmacogenetics research to ascertain their role in patient-specific MOUD outcomes. Systematic review registration number CRD42020169121. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13722-021-00278-y. |
format | Online Article Text |
id | pubmed-8627063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86270632021-11-30 A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder Chawar, Caroul Hillmer, Alannah Sanger, Stephanie D’Elia, Alessia Panesar, Balpreet Guan, Lucy Xie, Dave Xiaofei Bansal, Nandini Abdullah, Aamna Kapczinski, Flavio Pare, Guillaume Thabane, Lehana Samaan, Zainab Addict Sci Clin Pract Review BACKGROUND: Patients with opioid use disorder (OUD) display an interindividual variability in their response to medications for opioid use disorder (MOUD). A genetic basis may explain the variability in this response. However, no consensus has been reached regarding which genetic variants significantly contribute to MOUD outcomes. OBJECTIVES: This systematic review aims to summarize genome-wide significant findings on MOUD outcomes and critically appraise the quality of the studies involved. METHODS: Databases searched from inception until August 21st, 2020 include: MEDLINE, Web of Science, EMBASE, CINAHL and Pre-CINAHL, GWAS Catalog and GWAS Central. The included studies had to be GWASs that assessed MOUD in an OUD population. All studies were screened in duplicate. The quality of the included studies was scored and assessed using the Q-Genie tool. Quantitative analysis, as planned in the protocol, was not feasible, so the studies were analyzed qualitatively. RESULTS: Our search identified 7292 studies. Five studies meeting the eligibility criteria were included. However, only three studies reported results that met our significance threshold of p ≤ 1.0 × 10(–7). In total, 43 genetic variants were identified. Variants corresponding to CNIH3 were reported to be associated with daily heroin injection in Europeans, OPRM1, TRIB2, and ZNF146 with methadone dose in African Americans, EYS with methadone dose in Europeans, and SPON1 and intergenic regions in chromosomes 9 and 3 with plasma concentrations of S-methadone, R-methadone, and R-EDDP, respectively, in Han Chinese. LIMITATIONS: The limitations of this study include not being able to synthesize the data in a quantitative way and a conservative eligibility and data collection model. CONCLUSION: The results from this systematic review will aid in highlighting significant genetic variants that can be replicated in future OUD pharmacogenetics research to ascertain their role in patient-specific MOUD outcomes. Systematic review registration number CRD42020169121. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13722-021-00278-y. BioMed Central 2021-11-27 2021 /pmc/articles/PMC8627063/ /pubmed/34838141 http://dx.doi.org/10.1186/s13722-021-00278-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Chawar, Caroul Hillmer, Alannah Sanger, Stephanie D’Elia, Alessia Panesar, Balpreet Guan, Lucy Xie, Dave Xiaofei Bansal, Nandini Abdullah, Aamna Kapczinski, Flavio Pare, Guillaume Thabane, Lehana Samaan, Zainab A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title | A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title_full | A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title_fullStr | A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title_full_unstemmed | A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title_short | A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder |
title_sort | systematic review of gwas identified snps associated with outcomes of medications for opioid use disorder |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627063/ https://www.ncbi.nlm.nih.gov/pubmed/34838141 http://dx.doi.org/10.1186/s13722-021-00278-y |
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