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M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY
BACKGROUND: The relationship between genetic polymorphisms of antipsychotic drug-metabolizing agents and drug response has been thoroughly investigated and analyzed. However, from a pharmacokinetic standpoint, few studies have explored the relationship between Copy number variants (CNV) and antipsyc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234565/ http://dx.doi.org/10.1093/schbul/sbaa030.511 |
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author | Adanty, Christopher Wang, Kevin Dada, Oluwagbenga Wun, Janice Bani-Fatemi, Ali De Luca, Vincenzo |
author_facet | Adanty, Christopher Wang, Kevin Dada, Oluwagbenga Wun, Janice Bani-Fatemi, Ali De Luca, Vincenzo |
author_sort | Adanty, Christopher |
collection | PubMed |
description | BACKGROUND: The relationship between genetic polymorphisms of antipsychotic drug-metabolizing agents and drug response has been thoroughly investigated and analyzed. However, from a pharmacokinetic standpoint, few studies have explored the relationship between Copy number variants (CNV) and antipsychotic dosage. The aim of the present study is to test the association between antipsychotic dosage and CNV in schizophrenia (SCZ) patients. METHODS: The current dosage of antipsychotic medications was collected from 263 schizophrenia patients. The dosage was standardized using three different methods: chlorpromazine equivalent(CPZe), defined daily dose (DDD), and percentage of maximum dose (PM %). The patients were then genotyped using the Illumina HumanOmni2.5–8 BeadChip Kit. RESULTS: The CNV analysis did not show that CNVs are associated with dosage variation for CPZe, PM %, and DDD. DISCUSSION: In this pilot sample, we investigated for the first time CNVs and standardized antipsychotic dosage. The relationship between CNV and optimal antipsychotic dosage has far reaching clinical implications. Further analysis is required that utilitze large prescription databases to build on the results presented in this pilot study. |
format | Online Article Text |
id | pubmed-7234565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72345652020-05-23 M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY Adanty, Christopher Wang, Kevin Dada, Oluwagbenga Wun, Janice Bani-Fatemi, Ali De Luca, Vincenzo Schizophr Bull Poster Session II BACKGROUND: The relationship between genetic polymorphisms of antipsychotic drug-metabolizing agents and drug response has been thoroughly investigated and analyzed. However, from a pharmacokinetic standpoint, few studies have explored the relationship between Copy number variants (CNV) and antipsychotic dosage. The aim of the present study is to test the association between antipsychotic dosage and CNV in schizophrenia (SCZ) patients. METHODS: The current dosage of antipsychotic medications was collected from 263 schizophrenia patients. The dosage was standardized using three different methods: chlorpromazine equivalent(CPZe), defined daily dose (DDD), and percentage of maximum dose (PM %). The patients were then genotyped using the Illumina HumanOmni2.5–8 BeadChip Kit. RESULTS: The CNV analysis did not show that CNVs are associated with dosage variation for CPZe, PM %, and DDD. DISCUSSION: In this pilot sample, we investigated for the first time CNVs and standardized antipsychotic dosage. The relationship between CNV and optimal antipsychotic dosage has far reaching clinical implications. Further analysis is required that utilitze large prescription databases to build on the results presented in this pilot study. Oxford University Press 2020-05 2020-05-18 /pmc/articles/PMC7234565/ http://dx.doi.org/10.1093/schbul/sbaa030.511 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Session II Adanty, Christopher Wang, Kevin Dada, Oluwagbenga Wun, Janice Bani-Fatemi, Ali De Luca, Vincenzo M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title | M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title_full | M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title_fullStr | M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title_full_unstemmed | M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title_short | M199. COPY NUMBER VARIANCE (CNV) ANALYSIS TO DETERMINE OPTIMAL ANTIPSYCHOTIC DOSAGE IN SCHIZOPHRENIA: A PILOT STUDY |
title_sort | m199. copy number variance (cnv) analysis to determine optimal antipsychotic dosage in schizophrenia: a pilot study |
topic | Poster Session II |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234565/ http://dx.doi.org/10.1093/schbul/sbaa030.511 |
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