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diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype

SUMMARY: The next-generation sequencing brought opportunities for the diagnosis of genetic disorders due to its high-throughput capabilities. However, the majority of existing methods were limited to only sequencing candidate variants, and the process of linking these variants to a diagnosis of gene...

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Autores principales: Huang, Daoyi, Jiang, Jianping, Zhao, Tingting, Wu, Shengnan, Li, Pin, Lyu, Yongfen, Feng, Jincai, Wei, Mingyue, Zhu, Zhixing, Gu, Jianlei, Ren, Yongyong, Yu, Guangjun, Lu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500091/
https://www.ncbi.nlm.nih.gov/pubmed/37647638
http://dx.doi.org/10.1093/bioinformatics/btad517
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author Huang, Daoyi
Jiang, Jianping
Zhao, Tingting
Wu, Shengnan
Li, Pin
Lyu, Yongfen
Feng, Jincai
Wei, Mingyue
Zhu, Zhixing
Gu, Jianlei
Ren, Yongyong
Yu, Guangjun
Lu, Hui
author_facet Huang, Daoyi
Jiang, Jianping
Zhao, Tingting
Wu, Shengnan
Li, Pin
Lyu, Yongfen
Feng, Jincai
Wei, Mingyue
Zhu, Zhixing
Gu, Jianlei
Ren, Yongyong
Yu, Guangjun
Lu, Hui
author_sort Huang, Daoyi
collection PubMed
description SUMMARY: The next-generation sequencing brought opportunities for the diagnosis of genetic disorders due to its high-throughput capabilities. However, the majority of existing methods were limited to only sequencing candidate variants, and the process of linking these variants to a diagnosis of genetic disorders still required medical professionals to consult databases. Therefore, we introduce diseaseGPS, an integrated platform for the diagnosis of genetic disorders that combines both phenotype and genotype data for analysis. It offers not only a user-friendly GUI web application for those without a programming background but also scripts that can be executed in batch mode for bioinformatics professionals. The genetic and phenotypic data are integrated using the ACMG-Bayes method and a novel phenotypic similarity method, to prioritize the results of genetic disorders. diseaseGPS was evaluated on 6085 cases from Deciphering Developmental Disorders project and 187 cases from Shanghai Children’s hospital. The results demonstrated that diseaseGPS performed better than other commonly used methods. AVAILABILITY AND IMPLEMENTATION: diseaseGPS is available to freely accessed at https://diseasegps.sjtu.edu.cn with source code at https://github.com/BioHuangDY/diseaseGPS.
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spelling pubmed-105000912023-09-15 diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype Huang, Daoyi Jiang, Jianping Zhao, Tingting Wu, Shengnan Li, Pin Lyu, Yongfen Feng, Jincai Wei, Mingyue Zhu, Zhixing Gu, Jianlei Ren, Yongyong Yu, Guangjun Lu, Hui Bioinformatics Applications Note SUMMARY: The next-generation sequencing brought opportunities for the diagnosis of genetic disorders due to its high-throughput capabilities. However, the majority of existing methods were limited to only sequencing candidate variants, and the process of linking these variants to a diagnosis of genetic disorders still required medical professionals to consult databases. Therefore, we introduce diseaseGPS, an integrated platform for the diagnosis of genetic disorders that combines both phenotype and genotype data for analysis. It offers not only a user-friendly GUI web application for those without a programming background but also scripts that can be executed in batch mode for bioinformatics professionals. The genetic and phenotypic data are integrated using the ACMG-Bayes method and a novel phenotypic similarity method, to prioritize the results of genetic disorders. diseaseGPS was evaluated on 6085 cases from Deciphering Developmental Disorders project and 187 cases from Shanghai Children’s hospital. The results demonstrated that diseaseGPS performed better than other commonly used methods. AVAILABILITY AND IMPLEMENTATION: diseaseGPS is available to freely accessed at https://diseasegps.sjtu.edu.cn with source code at https://github.com/BioHuangDY/diseaseGPS. Oxford University Press 2023-08-30 /pmc/articles/PMC10500091/ /pubmed/37647638 http://dx.doi.org/10.1093/bioinformatics/btad517 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Huang, Daoyi
Jiang, Jianping
Zhao, Tingting
Wu, Shengnan
Li, Pin
Lyu, Yongfen
Feng, Jincai
Wei, Mingyue
Zhu, Zhixing
Gu, Jianlei
Ren, Yongyong
Yu, Guangjun
Lu, Hui
diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title_full diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title_fullStr diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title_full_unstemmed diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title_short diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
title_sort diseasegps: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500091/
https://www.ncbi.nlm.nih.gov/pubmed/37647638
http://dx.doi.org/10.1093/bioinformatics/btad517
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