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PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine.
Shin, JaeMoon; Jeon, Junbeom; Jung, Dawoon; Kim, Kiyong; Kim, Yun Joong; Jeong, Dong-Hoon; Yoon, JeeHee.
Afiliação
  • Shin J; Department of Computer Engineering, Hallym University, Chuncheon 24252, Korea.
  • Jeon J; Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba-Ken, Kashiwa-Shi 277-0971, Japan.
  • Jung D; Department of Computer Engineering, Hallym University, Chuncheon 24252, Korea.
  • Kim K; Department of Computer Engineering, Hallym University, Chuncheon 24252, Korea.
  • Kim YJ; Department of Electronic Engineering, Kyonggi University, Suwon 16227, Korea.
  • Jeong DH; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.
  • Yoon J; Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin 16995, Korea.
J Pers Med ; 12(6)2022 Jun 12.
Article em En | MEDLINE | ID: mdl-35743744
ABSTRACT
Precision medicine has been revolutionized by the advent of high-throughput next-generation sequencing (NGS) technology and development of various bioinformatic analysis tools for large-scale NGS big data. At the population level, biomedical studies have identified human diseases and phenotype-associated genetic variations using NGS technology, such as whole-genome sequencing, exome sequencing, and gene panel sequencing. Furthermore, patients' genetic variations related to a specific phenotype can also be identified by analyzing their genomic information. These breakthroughs paved the way for the clinical diagnosis and precise treatment of patients' diseases. Although many bioinformatics tools have been developed to analyze the genetic variations from the individual patient's NGS data, it is still challenging to develop user-friendly programs for clinical physicians who do not have bioinformatics programing skills to diagnose a patient's disease using the genomic data. In response to this demand, we developed a Phenotype to Genotype Variation program (PhenGenVar), which is a user-friendly interface for monitoring the variations in a gene of interest for molecular diagnosis. This allows for flexible filtering and browsing of variants of the disease and phenotype-associated genes. To test this program, we analyzed the whole-genome sequencing data of an anonymous person from the 1000 human genome project data. As a result, we were able to identify several genomic variations, including single-nucleotide polymorphism, insertions, and deletions in specific gene regions. Therefore, PhenGenVar can be used to diagnose a patient's disease. PhenGenVar is freely accessible and is available at our website.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article