Establishment of Kawasaki disease database based on metadata standard

Yu Rang Park, Jae Jung Kim, Young Jo Yoon, Young Kwang Yoon, Ha Yeong Koo, Young Mi Hong, Gi Young Jang, Soo Yong Shin, Jong Keuk Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Kawasaki disease (KD) is a rare disease that occurs predominantly in infants and young children. To identify KD susceptibility genes and to develop a diagnostic test, a specific therapy, or prevention method, collecting KD patients' clinical and genomic data is one of the major issues. For this purpose, Kawasaki Disease Database (KDD) was developed based on the efforts of Korean Kawasaki Disease Genetics Consortium (KKDGC). KDD is a collection of 1292 clinical data and genomic samples of 1283 patients from 13 KKDGC-participating hospitals. Each sample contains the relevant clinical data, genomic DNA and plasma samples isolated from patients' blood, omics data and KD-associated genotype data. Clinical data was collected and saved using the common data elements based on the ISO/IEC 11179 metadata standard. Two genome-wide association study data of total 482 samples and whole exome sequencing data of 12 samples were also collected. In addition, KDD includes the rare cases of KD (16 cases with family history, 46 cases with recurrence, 119 cases with intravenous immunoglobulin non-responsiveness, and 52 cases with coronary artery aneurysm). As the first public database for KD, KDD can significantly facilitate KD studies. All data in KDD can be searchable and downloadable. KDD was implemented in PHP, MySQL and Apache, with all major browsers supported. Database URL:

Original languageEnglish
Article numberbaw109
Publication statusPublished - 2016
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by grants from the Ministry of Health & Welfare of the Republic of Korea (HI15C1575 & 2015ER740100). We thank all of our patients and their families for participating in a KKDGC st

Publisher Copyright:
© 2016 The Author(s) 2016. Published by Oxford University Press.

ASJC Scopus subject areas

  • Medicine(all)


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