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Wei S, Tao J, Xu J, Chen X, Wang Z, Zhang N, Zuo L, Jia Z, Chen H, Sun H, Yan Y, Zhang M, Lv H, Kong F, Duan L, Ma Y, Liao M, Xu L, Feng R, Liu G, Project TEWAS, Jiang Y. Ten Years of EWAS. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2100727. [PMID: 34382344 PMCID: PMC8529436 DOI: 10.1002/advs.202100727] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/11/2021] [Indexed: 06/13/2023]
Abstract
Epigenome-wide association study (EWAS) has been applied to analyze DNA methylation variation in complex diseases for a decade, and epigenome as a research target has gradually become a hot topic of current studies. The DNA methylation microarrays, next-generation, and third-generation sequencing technologies have prepared a high-quality platform for EWAS. Here, the progress of EWAS research is reviewed, its contributions to clinical applications, and mainly describe the achievements of four typical diseases. Finally, the challenges encountered by EWAS and make bold predictions for its future development are presented.
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Affiliation(s)
- Siyu Wei
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
- The EWAS ProjectHarbinChina
| | - Junxian Tao
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
- The EWAS ProjectHarbinChina
| | - Jing Xu
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
- The EWAS ProjectHarbinChina
| | - Xingyu Chen
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Zhaoyang Wang
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Nan Zhang
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Lijiao Zuo
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Zhe Jia
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Haiyan Chen
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Hongmei Sun
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Yubo Yan
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Mingming Zhang
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Hongchao Lv
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
| | - Fanwu Kong
- The EWAS ProjectHarbinChina
- Department of NephrologyThe Second Affiliated HospitalHarbin Medical UniversityHarbin150001China
| | - Lian Duan
- The EWAS ProjectHarbinChina
- The First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Ye Ma
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
- The EWAS ProjectHarbinChina
| | - Mingzhi Liao
- The EWAS ProjectHarbinChina
- College of Life SciencesNorthwest A&F UniversityYanglingShanxi712100China
| | - Liangde Xu
- The EWAS ProjectHarbinChina
- School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325035China
| | - Rennan Feng
- The EWAS ProjectHarbinChina
- Department of Nutrition and Food HygienePublic Health CollegeHarbin Medical UniversityHarbin150081China
| | - Guiyou Liu
- The EWAS ProjectHarbinChina
- Beijing Institute for Brain DisordersCapital Medical UniversityBeijing100069China
| | | | - Yongshuai Jiang
- College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbin150081China
- The EWAS ProjectHarbinChina
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2
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Liu D, Zhao L, Wang Z, Zhou X, Fan X, Li Y, Xu J, Hu S, Niu M, Song X, Li Y, Zuo L, Lei C, Zhang M, Tang G, Huang M, Zhang N, Duan L, Lv H, Zhang M, Li J, Xu L, Kong F, Feng R, Jiang Y. EWASdb: epigenome-wide association study database. Nucleic Acids Res 2020; 47:D989-D993. [PMID: 30321400 PMCID: PMC6323898 DOI: 10.1093/nar/gky942] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/04/2018] [Indexed: 12/29/2022] Open
Abstract
DNA methylation, the most intensively studied epigenetic modification, plays an important role in understanding the molecular basis of diseases. Furthermore, epigenome-wide association study (EWAS) provides a systematic approach to identify epigenetic variants underlying common diseases/phenotypes. However, there is no comprehensive database to archive the results of EWASs. To fill this gap, we developed the EWASdb, which is a part of 'The EWAS Project', to store the epigenetic association results of DNA methylation from EWASs. In its current version (v 1.0, up to July 2018), the EWASdb has curated 1319 EWASs associated with 302 diseases/phenotypes. There are three types of EWAS results curated in this database: (i) EWAS for single marker; (ii) EWAS for KEGG pathway and (iii) EWAS for GO (Gene Ontology) category. As the first comprehensive EWAS database, EWASdb has been searched or downloaded by researchers from 43 countries to date. We believe that EWASdb will become a valuable resource and significantly contribute to the epigenetic research of diseases/phenotypes and have potential clinical applications. EWASdb is freely available at http://www.ewas.org.cn/ewasdb or http://www.bioapp.org/ewasdb.
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Affiliation(s)
- Di Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Linna Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Zhaoyang Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Xu Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Xiuzhao Fan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Yong Li
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Jing Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Simeng Hu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Miaomiao Niu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Xiuling Song
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Ying Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Lijiao Zuo
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Changgui Lei
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Meng Zhang
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China
| | - Guoping Tang
- The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Min Huang
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China
| | - Nan Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Lian Duan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Hongchao Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Mingming Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Jin Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Liangde Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Fanwu Kong
- Department of Nephrology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Rennan Feng
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
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3
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Xu J, Zhao L, Liu D, Hu S, Song X, Li J, Lv H, Duan L, Zhang M, Jiang Q, Liu G, Jin S, Liao M, Zhang M, Feng R, Kong F, Xu L, Jiang Y. EWAS: epigenome-wide association study software 2.0. Bioinformatics 2019; 34:2657-2658. [PMID: 29566144 PMCID: PMC6061808 DOI: 10.1093/bioinformatics/bty163] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 03/15/2018] [Indexed: 11/13/2022] Open
Abstract
Motivation With the development of biotechnology, DNA methylation data showed exponential growth. Epigenome-wide association study (EWAS) provide a systematic approach to uncovering epigenetic variants underlying common diseases/phenotypes. But the EWAS software has lagged behind compared with genome-wide association study (GWAS). To meet the requirements of users, we developed a convenient and useful software, EWAS2.0. Results EWAS2.0 can analyze EWAS data and identify the association between epigenetic variations and disease/phenotype. On the basis of EWAS1.0, we have added more distinctive features. EWAS2.0 software was developed based on our ‘population epigenetic framework’ and can perform: (i) epigenome-wide single marker association study; (ii) epigenome-wide methylation haplotype (meplotype) association study and (iii) epigenome-wide association meta-analysis. Users can use EWAS2.0 to execute chi-square test, t-test, linear regression analysis, logistic regression analysis, identify the association between epi-alleles, identify the methylation disequilibrium (MD) blocks, calculate the MD coefficient, the frequency of meplotype and Pearson's correlation coefficients and carry out meta-analysis and so on. Finally, we expect EWAS2.0 to become a popular software and be widely used in epigenome-wide associated studies in the future. Availability and implementation The EWAS software is freely available at http://www.ewas.org.cn or http://www.bioapp.org/ewas.
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Affiliation(s)
- Jing Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Linna Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Di Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Simeng Hu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Xiuling Song
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Jin Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Hongchao Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Lian Duan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Mingming Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Qinghua Jiang
- Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Guiyou Liu
- Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Shuilin Jin
- Department of Mathematics, Harbin Institute of Technology, Harbin, China
| | - Mingzhi Liao
- College of Life Science, Northwest A&F University, Yangling, Shaanxi, China
| | - Meng Zhang
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China
| | - Rennan Feng
- Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China
| | - Fanwu Kong
- Department of Nephrology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Liangde Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China
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