Back

10,239 whole genomes with multiomic and clinical health information as the Korean Multiomics Reference dataset

An, K.; Jeon, S.; Kwon, Y.; Choi, Y.; Yoon, C.; Jeon, Y.; Bhak, J.; Shin, D.-H.; Choi, H.-J.; Lee, H.; Kim, Y. J.; Shin, E.-S.; Ryu, H.; Blazyte, A.; Bolser, D.; Park, S.; Cho, J.; Joe, S.; Yang, J. O.; Jeon, J.; Kim, J.-H.; Kim, J.; Jung, D.; Cho, Y. S.; Chang, K.; Choo, E. H.; Kim, E.; Lee, S. Y.; Kim, W.; Kang, M. G.; Her, A.-Y.; Chon, S.; Woo, J.-T.; Rhee, S.; Lee, S.; Jin, H.-j.; Baek, Y.; Ban, H.-J.; Ahn, Y. M.; Rhee, S. J.; Kim, M. J.; Lee, S. Y.; Yang, C.-M.; Shim, S.-H.; Cho, S.-J.; Kim, S. G.; Jung, H.-T.; Ham, B.-J.; Choi, Y. Y.; Cheong, J.-H.; Kim, S.-K.; Phi, J. H.; Choi, S. A.; G

2026-01-26 genomics Community evaluation
10.1101/2025.11.17.688763 bioRxiv
Show abstract

We present Korea10K, the largest genomic dataset of the Korean population, comprising 10,239 high-coverage whole genomes (mean depth 30x) with matched multiomic profiles and phenotype data. Korea10K achieves complete and near-complete discovery of very rare and ultra-rare alleles, respectively, at 9,000 Korean genomes. This dataset provides the high-quality population-specific imputation panel, enabling accurate inference of low-frequency variants. Admixture analyses confirm the genetic homogeneity of the Korean population, despite its diverse Y-chromosomal, mitochondrial, and HLA repertoires. This pattern reflects a long and continuous lineage history characterized by persistent internal admixture and genomic homogenization over thousands of years on the Korean peninsula. We also identified 16.8 million genomic variants that directly modify CG sites by creating or abolishing CG dinucleotides, providing the population-scale evidence of coordinated genomic-epigenomic regulatory mechanism in Koreans.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Genome Research
● 468 papers in training set
Top 0.3%
12.5%
Similar papers in this journal
2
Cell Genomics
○ 172 papers in training set
Top 0.2%
11.7%
Similar papers in this journal
3
Nature Communications
○ 5641 papers in training set
Top 17%
10.9%
Similar papers in this journal
4
Nature Genetics
○ 286 papers in training set
Top 0.6%
10.5%
Similar papers in this journal
5
Cell
○ 431 papers in training set
Top 0.4%
9.6%
Similar papers in this journal
50% of probability mass above
6
The American Journal of Human Genetics
○ 234 papers in training set
Top 0.8%
6.2%
7
Genome Medicine
○ 183 papers in training set
Top 1%
4.0%
8
eLife
● 5828 papers in training set
Top 36%
3.2%
9
Genome Biology
○ 637 papers in training set
Top 4%
3.2%
10
Nature
○ 645 papers in training set
Top 4%
3.2%
11
Science
● 477 papers in training set
Top 3%
3.1%
12
Communications Biology
○ 993 papers in training set
Top 11%
2.1%
13
Nucleic Acids Research
◐ 1281 papers in training set
Top 9%
1.7%
14
Science Advances
● 1243 papers in training set
Top 22%
1.5%
15
Molecular Biology and Evolution
◐ 542 papers in training set
Top 4%
1.1%
16
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 35%
1.1%
17
Cell Reports Medicine
○ 153 papers in training set
Top 4%
1.1%
18
Human Genetics and Genomics Advances
○ 84 papers in training set
Top 2%
1.0%
19
Cell Reports
○ 1498 papers in training set
Top 25%
1.0%
20
PLOS Genetics
● 862 papers in training set
Top 14%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.