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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0343-v2Release info

This page is a past version (v2). The latest version is v5.
Latest version (v5)

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, eQTL/sQTL study
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.

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
NHA000169GWAS for COVID-19
  • Genome wide SNPs
Unrestricted-access2022-05-26
NHA000168NGS (RNA-seq) for COVID-19
  • RNA-seq
Unrestricted-access2022-05-26
NHA000172eQTL/sQTL summary statistics for COVID-19
  • eQTL/sQTL summary statistics
Unrestricted-access2022-06-14

Data provider

Principal investigator
Koichi Fukunaga
Affiliation
Department of Medicine, Pulmonary Division, Keio University School of Medicine

Research projects

No research projects.

Grants

NameTitleProject 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
  • JP20nk0101612
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
  • JP20fk0108415
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
  • JP20fk0108452
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
  • JP21wm0325031
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
  • JPMJCR20H2
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
  • JP20ek0410075
KAKENHI Grant-in-Aid for Scientific Research (A)
Elucidation of tissue-specificity of disease biology using trans-layer omics analysis and whole-genome sequencing
  • 19H01021

Related publications

TitleDOIDataset ID
DOCK2 is involved in the host genetics and biology of severe COVID-19
https://doi.org/10.1038/s41586-022-05163-5 (opens in a new tab)