Research ID
hum0343-v1Release info
Research title
Development of COVID19 vaccine and evaluation system based on genetics of COVID-19
Research overview
- Aims
- To construct a prediction system for severe disease through whole genome sequencing, RNA sequencing, and ultra-high-precision HLA analysis of patients with COVID-19, asymptomatic infected patients, and patients suspected of having novel coronavirus infection. In addition, we will use anonymized data to analyze the prediction of severity of COVID-19 using mathematical models.
- Methods
- Genome-wide association study (GWAS), RNA-seq
- Participants/materials
- GWAS: 5682 Japanese individuals (2393 COVID-19 infected patients and 3289 controls)
RNA-seq: 473 COVID-19 infected patients - URL
- N/A
Datasets
The list is the one this version published; each dataset's content is shown as it is now.
Data provider
- Principal investigator
- Koichi Fukunaga
- Affiliation
- Department of Medicine, Pulmonary Division, Keio University School of Medicine
Research projects
No research projects.
Grants
| Name | Title | Project number |
|---|---|---|
Project Promoting Support for Drug Discovery, Japan Agency for Medical Research and Development (AMED) | Development of genetically-designed COVID19 mucosal immune vaccine with molecular needle platform |
|
Research Program on Emerging and Re-emerging Infectious Diseases, Japan Agency for Medical Research and Development (AMED) | Promotion of genetic, immunological, and metabolic research necessary for the development of next-generation vaccines and drugs aiming to prevent the aggravation of coronavirus disease 2019 |
|
Research Program on Emerging and Re-emerging Infectious Diseases, Japan Agency for Medical Research and Development (AMED) | Elucidation of pathogenesis and development of therapeutic strategies using genetic, immunological, and metabolic studies against SARS-CoV-2 variants |
|
Japan Program for Infectious Diseases Research and Infrastructure, Japan Agency for Medical Research and Development (AMED) | Elucidation of the pathophysiology of the sequelae of coronavirus disease 2019 using a multidisciplinary approach |
|
Core Research and Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST) | Research on Conquering Coronavirus Disease by Advanced Genomic Analysis and Artificial Intelligence |
|
Practical Research Project for Allergic Diseases and Immunology, Japan Agency for Medical Research and Development (AMED) | Genomic prediction medicine of rheumatoid arthritis based on comprehensive immune-omics resources |
|
KAKENHI Grant-in-Aid for Scientific Research (A) | Elucidation of tissue-specificity of disease biology using trans-layer omics analysis and whole-genome sequencing |
|
Related publications
No related publications.