Login / Signup

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups.

Sungwon JeonHansol ChoiYeonsu JeonWhan-Hyuk ChoiHyunjoo ChoiKyungwhan AnHyojung RyuJihun BhakHyeonjae LeeYoonsung KwonSukyeon HaYeo Jin KimAsta BlazyteChangjae KimYeonkyung KimYounghui KangYeong Ju WooChanyoung LeeJeongwoo SeoChanghan YoonDan M BolserOrsolya BiroEun-Seok ShinByung Chul KimSeon-Young KimJi-Hwan ParkJongbum JeonDooyoung JungSemin LeeJong Bhak
Published in: GigaScience (2024)
Collectively, Korea4K provides not only the largest Korean genome data but also corresponding health check-up parameters and novel genome-phenome associations. The large-scale pathological whole genome-wide omics data will become a powerful set for genome-phenome level association studies to discover causal markers for the prediction and diagnosis of health conditions in future studies.
Keyphrases
  • genome wide
  • public health
  • healthcare
  • mental health
  • dna methylation
  • health information
  • health promotion
  • human health
  • single cell
  • machine learning
  • current status
  • genetic diversity