Evidence map›Paper›PMID 39778865›Full record

ArticleNucleic acids research2025

Highly accurate Korean draft genomes reveal structural variation highlighting human telomere evolution.

Jun Kim, Jong Lyul Park, Jin Ok Yang, Sangok Kim, Soobok Joe, Gunwoo Park, Taeyeon Hwang, Mun-Jeong Cho, Seungjae Lee, Jong-Eun Lee and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jun KimDepartment of Convergent Bioscience and Informatics, College of Bioscience and Biotechnology, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea.ORCID 0000-0001-9753-4778
Jong Lyul ParkPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Jin Ok YangKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0001-8388-6692
Sangok KimKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Soobok JoeKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Gunwoo ParkKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Taeyeon HwangKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Mun-Jeong ChoDepartment of Bioscience, University of Science and Technology (UST), 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea.
Seungjae LeeDNALink, Inc, 31, Magokjungang 8-ro 3-gil, Gangseo-gu, Seoul 07793, Republic of Korea.ORCID 0000-0002-2404-3107
Jong-Eun LeeDNALink, Inc, 31, Magokjungang 8-ro 3-gil, Gangseo-gu, Seoul 07793, Republic of Korea.
Ji-Hwan ParkKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0002-6988-6239
Min-Kyung YeoDepartment of Pathology, Chungnam National University School of Medicine, 282, Munhwa-ro, Jung-gu, Daejeon 35015, Republic of Korea.
Seon-Young KimKorea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, 125, Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0002-1030-7730

Funding

KRIBB Research Initiative Program KGM5192221Ministry of Health and Welfare RS-2024-00438566Ministry of Science and ICT 2020M3E5D708517212Ministry of Trade, Industry and Energy P0009796
6 · The paper itself

Abstract

Given the presence of highly repetitive genomic regions such as subtelomeric regions, understanding human genomic evolution remains challenging. Recently, long-read sequencing technology has facilitated the identification of complex genetic variants, including structural variants (SVs), at the single-nucleotide level. Here, we resolved SVs and their underlying DNA damage-repair mechanisms in subtelomeric regions, which are among the most uncharted genomic regions. We generated ∼20 × high-fidelity long-read sequencing data from three Korean individuals and their partially phased high-quality de novo genome assemblies (contig N50: 6.3-58.2 Mb). We identified 131 138 deletion and 121 461 insertion SVs, 41.6% of which were prevalent in the East Asian population. The commonality of the SVs identified among the Korean population was examined by short-read sequencing data from 103 Korean individuals, providing the first comprehensive SV set representing the population based on the long-read assemblies. Manual investigation of 19 large subtelomeric SVs (≥5 kb) and their associated repair signatures revealed the potential repair mechanisms leading to the formation of these SVs. Our study provides mechanistic insight into human telomere evolution and can facilitate our understanding of human SV formation.

Indexed as

Evolution, MolecularGenome, HumanTelomereDNA RepairEast Asian PeopleGenomicsGenomic Structural VariationHumansRepublic of Korea

Identifiers

PMID39778865
PMCPMC11707537

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.