Cargando…
A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research
Improvements in next-generation sequencing (NGS) technology and computer systems have enabled personalized therapies based on genomic information. Recently, health management strategies using genomics and big data have been developed for application in medicine and public health science. In this rev...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180925/ https://www.ncbi.nlm.nih.gov/pubmed/35682641 http://dx.doi.org/10.3390/ijms23115963 |
_version_ | 1784723639780769792 |
---|---|
author | Gim, Jeong-An |
author_facet | Gim, Jeong-An |
author_sort | Gim, Jeong-An |
collection | PubMed |
description | Improvements in next-generation sequencing (NGS) technology and computer systems have enabled personalized therapies based on genomic information. Recently, health management strategies using genomics and big data have been developed for application in medicine and public health science. In this review, I first discuss the development of a genomic information management system (GIMS) to maintain a highly detailed health record and detect diseases by collecting the genomic information of one individual over time. Maintaining a health record and detecting abnormal genomic states are important; thus, the development of a GIMS is necessary. Based on the current research status, open public data, and databases, I discuss the possibility of a GIMS for clinical use. I also discuss how the analysis of genomic information as big data can be applied for clinical and research purposes. Tremendous volumes of genomic information are being generated, and the development of methods for the collection, cleansing, storing, indexing, and serving must progress under legal regulation. Genetic information is a type of personal information and is covered under privacy protection; here, I examine the regulations on the use of genetic information in different countries. This review provides useful insights for scientists and clinicians who wish to use genomic information for healthy aging and personalized medicine. |
format | Online Article Text |
id | pubmed-9180925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91809252022-06-10 A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research Gim, Jeong-An Int J Mol Sci Review Improvements in next-generation sequencing (NGS) technology and computer systems have enabled personalized therapies based on genomic information. Recently, health management strategies using genomics and big data have been developed for application in medicine and public health science. In this review, I first discuss the development of a genomic information management system (GIMS) to maintain a highly detailed health record and detect diseases by collecting the genomic information of one individual over time. Maintaining a health record and detecting abnormal genomic states are important; thus, the development of a GIMS is necessary. Based on the current research status, open public data, and databases, I discuss the possibility of a GIMS for clinical use. I also discuss how the analysis of genomic information as big data can be applied for clinical and research purposes. Tremendous volumes of genomic information are being generated, and the development of methods for the collection, cleansing, storing, indexing, and serving must progress under legal regulation. Genetic information is a type of personal information and is covered under privacy protection; here, I examine the regulations on the use of genetic information in different countries. This review provides useful insights for scientists and clinicians who wish to use genomic information for healthy aging and personalized medicine. MDPI 2022-05-25 /pmc/articles/PMC9180925/ /pubmed/35682641 http://dx.doi.org/10.3390/ijms23115963 Text en © 2022 by the author. 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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gim, Jeong-An A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title | A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title_full | A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title_fullStr | A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title_full_unstemmed | A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title_short | A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research |
title_sort | genomic information management system for maintaining healthy genomic states and application of genomic big data in clinical research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180925/ https://www.ncbi.nlm.nih.gov/pubmed/35682641 http://dx.doi.org/10.3390/ijms23115963 |
work_keys_str_mv | AT gimjeongan agenomicinformationmanagementsystemformaintaininghealthygenomicstatesandapplicationofgenomicbigdatainclinicalresearch AT gimjeongan genomicinformationmanagementsystemformaintaininghealthygenomicstatesandapplicationofgenomicbigdatainclinicalresearch |