Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations
Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-08-01
|
Series: | Genomics, Proteomics & Bioinformatics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1672022919301536 |
id |
doaj-3ac4be94fa754b37982731a0bc5dd538 |
---|---|
record_format |
Article |
spelling |
doaj-3ac4be94fa754b37982731a0bc5dd5382020-11-25T01:30:23ZengElsevierGenomics, Proteomics & Bioinformatics1672-02292019-08-01174415429Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable AlterationsBairong Shen0Yuxin Lin1Cheng Bi2Shengrong Zhou3Zhongchen Bai4Guangmin Zheng5Jing Zhou6Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China; Corresponding author.Center for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, ChinaCenter for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, ChinaCenter for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, ChinaParkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end. Keywords: Parkinson's disease, Healthcare, Disease biomarker, Translational informatics, Systems modellinghttp://www.sciencedirect.com/science/article/pii/S1672022919301536 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bairong Shen Yuxin Lin Cheng Bi Shengrong Zhou Zhongchen Bai Guangmin Zheng Jing Zhou |
spellingShingle |
Bairong Shen Yuxin Lin Cheng Bi Shengrong Zhou Zhongchen Bai Guangmin Zheng Jing Zhou Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations Genomics, Proteomics & Bioinformatics |
author_facet |
Bairong Shen Yuxin Lin Cheng Bi Shengrong Zhou Zhongchen Bai Guangmin Zheng Jing Zhou |
author_sort |
Bairong Shen |
title |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations |
title_short |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations |
title_full |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations |
title_fullStr |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations |
title_full_unstemmed |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations |
title_sort |
translational informatics for parkinson’s disease: from big biomedical data to small actionable alterations |
publisher |
Elsevier |
series |
Genomics, Proteomics & Bioinformatics |
issn |
1672-0229 |
publishDate |
2019-08-01 |
description |
Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end. Keywords: Parkinson's disease, Healthcare, Disease biomarker, Translational informatics, Systems modelling |
url |
http://www.sciencedirect.com/science/article/pii/S1672022919301536 |
work_keys_str_mv |
AT bairongshen translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT yuxinlin translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT chengbi translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT shengrongzhou translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT zhongchenbai translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT guangminzheng translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations AT jingzhou translationalinformaticsforparkinsonsdiseasefrombigbiomedicaldatatosmallactionablealterations |
_version_ |
1725091736610406400 |