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PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics

With the tremendous advancements in genome sequencing technology in the field of pharmacogenomics, data have to be made accessible to be more efficiently utilized by broader clinical disciplines. Physicians who require the drug–genome interactome information, have been challenged by the complicated...

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Autores principales: John, Sumi Elsa, Channanath, Arshad Mohamed, Hebbar, Prashantha, Nizam, Rasheeba, Thanaraj, Thangavel Alphonse, Al-Mulla, Fahd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998233/
https://www.ncbi.nlm.nih.gov/pubmed/33809530
http://dx.doi.org/10.3390/jpm11030210
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author John, Sumi Elsa
Channanath, Arshad Mohamed
Hebbar, Prashantha
Nizam, Rasheeba
Thanaraj, Thangavel Alphonse
Al-Mulla, Fahd
author_facet John, Sumi Elsa
Channanath, Arshad Mohamed
Hebbar, Prashantha
Nizam, Rasheeba
Thanaraj, Thangavel Alphonse
Al-Mulla, Fahd
author_sort John, Sumi Elsa
collection PubMed
description With the tremendous advancements in genome sequencing technology in the field of pharmacogenomics, data have to be made accessible to be more efficiently utilized by broader clinical disciplines. Physicians who require the drug–genome interactome information, have been challenged by the complicated pharmacogenomic star-based classification system. We present here an end-to-end web-based pharmacogenomics tool, PharmaKU, which has a comprehensive easy-to-use interface. PharmaKU can help to overcome several hurdles posed by previous pharmacogenomics tools, including input in hg38 format only, while hg19/GRCh37 is now the most popular reference genome assembly among clinicians and geneticists, as well as the lack of clinical recommendations and other pertinent dosage-related information. This tool extracts genetic variants from nine well-annotated pharmacogenes (for which diplotype to phenotype information is available) from whole genome variant files and uses Stargazer software to assign diplotypes and apply prescribing recommendations from pharmacogenomic resources. The tool is wrapped with a user-friendly web interface, which allows for choosing hg19 or hg38 as the reference genome version and reports results as a comprehensive PDF document. PharmaKU is anticipated to enable bench to bedside implementation of pharmacogenomics knowledge by bringing precision medicine closer to a clinical reality.
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spelling pubmed-79982332021-03-28 PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics John, Sumi Elsa Channanath, Arshad Mohamed Hebbar, Prashantha Nizam, Rasheeba Thanaraj, Thangavel Alphonse Al-Mulla, Fahd J Pers Med Article With the tremendous advancements in genome sequencing technology in the field of pharmacogenomics, data have to be made accessible to be more efficiently utilized by broader clinical disciplines. Physicians who require the drug–genome interactome information, have been challenged by the complicated pharmacogenomic star-based classification system. We present here an end-to-end web-based pharmacogenomics tool, PharmaKU, which has a comprehensive easy-to-use interface. PharmaKU can help to overcome several hurdles posed by previous pharmacogenomics tools, including input in hg38 format only, while hg19/GRCh37 is now the most popular reference genome assembly among clinicians and geneticists, as well as the lack of clinical recommendations and other pertinent dosage-related information. This tool extracts genetic variants from nine well-annotated pharmacogenes (for which diplotype to phenotype information is available) from whole genome variant files and uses Stargazer software to assign diplotypes and apply prescribing recommendations from pharmacogenomic resources. The tool is wrapped with a user-friendly web interface, which allows for choosing hg19 or hg38 as the reference genome version and reports results as a comprehensive PDF document. PharmaKU is anticipated to enable bench to bedside implementation of pharmacogenomics knowledge by bringing precision medicine closer to a clinical reality. MDPI 2021-03-16 /pmc/articles/PMC7998233/ /pubmed/33809530 http://dx.doi.org/10.3390/jpm11030210 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
John, Sumi Elsa
Channanath, Arshad Mohamed
Hebbar, Prashantha
Nizam, Rasheeba
Thanaraj, Thangavel Alphonse
Al-Mulla, Fahd
PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title_full PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title_fullStr PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title_full_unstemmed PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title_short PharmaKU: A Web-Based Tool Aimed at Improving Outreach and Clinical Utility of Pharmacogenomics
title_sort pharmaku: a web-based tool aimed at improving outreach and clinical utility of pharmacogenomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998233/
https://www.ncbi.nlm.nih.gov/pubmed/33809530
http://dx.doi.org/10.3390/jpm11030210
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