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PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs

One important aspect of precision medicine aims to deliver the right medicine to the right patient at the right dose at the right time based on the unique ‘omics’ features of each individual patient, thus maximizing drug efficacy and minimizing adverse drug reactions. However, fragmentation and hete...

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Detalles Bibliográficos
Autores principales: Yu, Ying, Wang, Yunjin, Xia, Zhaojie, Zhang, Xiangyu, Jin, Kailiang, Yang, Jingcheng, Ren, Luyao, Zhou, Zheng, Yu, Dong, Qing, Tao, Zhang, Chengdong, Jin, Li, Zheng, Yuanting, Guo, Li, Shi, Leming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324052/
https://www.ncbi.nlm.nih.gov/pubmed/30407536
http://dx.doi.org/10.1093/nar/gky1042
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author Yu, Ying
Wang, Yunjin
Xia, Zhaojie
Zhang, Xiangyu
Jin, Kailiang
Yang, Jingcheng
Ren, Luyao
Zhou, Zheng
Yu, Dong
Qing, Tao
Zhang, Chengdong
Jin, Li
Zheng, Yuanting
Guo, Li
Shi, Leming
author_facet Yu, Ying
Wang, Yunjin
Xia, Zhaojie
Zhang, Xiangyu
Jin, Kailiang
Yang, Jingcheng
Ren, Luyao
Zhou, Zheng
Yu, Dong
Qing, Tao
Zhang, Chengdong
Jin, Li
Zheng, Yuanting
Guo, Li
Shi, Leming
author_sort Yu, Ying
collection PubMed
description One important aspect of precision medicine aims to deliver the right medicine to the right patient at the right dose at the right time based on the unique ‘omics’ features of each individual patient, thus maximizing drug efficacy and minimizing adverse drug reactions. However, fragmentation and heterogeneity of available data makes it challenging to readily obtain first-hand information regarding some particular diseases, drugs, genes and variants of interest. Therefore, we developed the Precision Medicine Knowledgebase (PreMedKB) by seamlessly integrating the four fundamental components of precision medicine: diseases, genes, variants and drugs. PreMedKB allows for search of comprehensive information within each of the four components, the relationships between any two or more components, and importantly, the interpretation of the clinical meanings of a patient's genetic variants. PreMedKB is an efficient and user-friendly tool to assist researchers, clinicians or patients in interpreting a patient's genetic profile in terms of discovering potential pathogenic variants, recommending therapeutic regimens, designing panels for genetic testing kits, and matching patients for clinical trials. PreMedKB is freely accessible and available at http://www.fudan-pgx.org/premedkb/index.html#/home.
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spelling pubmed-63240522019-01-10 PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs Yu, Ying Wang, Yunjin Xia, Zhaojie Zhang, Xiangyu Jin, Kailiang Yang, Jingcheng Ren, Luyao Zhou, Zheng Yu, Dong Qing, Tao Zhang, Chengdong Jin, Li Zheng, Yuanting Guo, Li Shi, Leming Nucleic Acids Res Database Issue One important aspect of precision medicine aims to deliver the right medicine to the right patient at the right dose at the right time based on the unique ‘omics’ features of each individual patient, thus maximizing drug efficacy and minimizing adverse drug reactions. However, fragmentation and heterogeneity of available data makes it challenging to readily obtain first-hand information regarding some particular diseases, drugs, genes and variants of interest. Therefore, we developed the Precision Medicine Knowledgebase (PreMedKB) by seamlessly integrating the four fundamental components of precision medicine: diseases, genes, variants and drugs. PreMedKB allows for search of comprehensive information within each of the four components, the relationships between any two or more components, and importantly, the interpretation of the clinical meanings of a patient's genetic variants. PreMedKB is an efficient and user-friendly tool to assist researchers, clinicians or patients in interpreting a patient's genetic profile in terms of discovering potential pathogenic variants, recommending therapeutic regimens, designing panels for genetic testing kits, and matching patients for clinical trials. PreMedKB is freely accessible and available at http://www.fudan-pgx.org/premedkb/index.html#/home. Oxford University Press 2019-01-08 2018-11-08 /pmc/articles/PMC6324052/ /pubmed/30407536 http://dx.doi.org/10.1093/nar/gky1042 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Yu, Ying
Wang, Yunjin
Xia, Zhaojie
Zhang, Xiangyu
Jin, Kailiang
Yang, Jingcheng
Ren, Luyao
Zhou, Zheng
Yu, Dong
Qing, Tao
Zhang, Chengdong
Jin, Li
Zheng, Yuanting
Guo, Li
Shi, Leming
PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title_full PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title_fullStr PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title_full_unstemmed PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title_short PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
title_sort premedkb: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324052/
https://www.ncbi.nlm.nih.gov/pubmed/30407536
http://dx.doi.org/10.1093/nar/gky1042
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