Evidence map›Paper›PMID 41507232›Full record

ArticleScientific data2026

Whole genome sequencing data of early- and late-onset colorectal cancer in 99 Korean patients.

Jae-Yoon Kim, Ye Jin Ha, Seung-Jin Park, Sun-Woo Lee, Seon-Yeop Kim, Seung-Eun Oh, Jong-Lyul Park, Ka Hee Tak, Yong Sik Yoon, Jong Lyul Lee and 2 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jae-Yoon Kim *Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0002-8557-0998
Ye Jin Ha *Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea.ORCID http://orcid.org/0000-0003-2001-7435
Seung-Jin Park *Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Sun-Woo LeeGenomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Seon-Yeop KimGenomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Seung-Eun OhGenomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Jong-Lyul ParkGenomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Ka Hee TakAsan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea.
Yong Sik YoonAsan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea.
Jong Lyul LeeAsan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea.
Seon-Young KimGenomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea. kimsy@kribb.re.kr.ORCID http://orcid.org/0000-0002-1030-7730
Chan Wook KimAsan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea. crscwkim@amc.seoul.kr.

Funding

Asan Institute for Life Sciences, Asan Medical Center 2024IP0034Korea Research Institute of Bioscience and Biotechnology (KRIBB) KGM5192423National Research Foundation of Korea (NRF) 2020R1C1C1009345NCIRD CDC HHS U01 IP000034
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most prevalent cancer type worldwide. Despite improvements in screening programs, the incidence of early-onset CRC (EOCRC) in patients under 50 years old is rapidly increasing, including in Korea, in contrast to the decreasing trend of late-onset CRC (LOCRC). However, a comprehensive biological understanding of CRC's coding and non-coding variants, onset-dependent prognostic variables, and the genetic and transcriptomic differences between EOCRC and LOCRC remains limited. To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. WGS was performed using the DNBSEQ-T7 platform, generating 1.409 billion reads at an average depth of 37.70×. RNA-seq data previously generated from the same samples are included to support integrative analysis. This dataset enables comprehensive exploration of genomic and transcriptomic alterations in CRC and serves as a valuable resource for identifying onset-specific biomarkers and molecular features, ultimately supporting improved diagnosis and therapeutic strategies.

Indexed as

Colorectal NeoplasmsWhole Genome SequencingAge of OnsetHumansMiddle AgedMultiomicsRepublic of KoreaSequence Analysis, RNA

Identifiers

PMID41507232
PMCPMC12886783

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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.