We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides a comprehensive summary of the clinical information associated with these individuals. The abstract for our paper is as follows: 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.

We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides a comprehensive summary of the clinical information associated with these individuals. The abstract for our paper is as follows: 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.

We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides the accession numbers, mapping statistics, and matched RNA accession numbers for the deposited whole-genome data of these 99 patients. The abstract of our paper is as follows: 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.

We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides the accession numbers, mapping statistics, and matched RNA accession numbers for the deposited whole-genome data of these 99 patients. The abstract of our paper is as follows: 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.

We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides the raw expression values for the matched RNA-seq data (previously generated by us) corresponding to these 99 patients. The abstract for our paper is as follows: 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.

We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). This dataset provides the raw expression values for the matched RNA-seq data (previously generated by us) corresponding to these 99 patients. The abstract for our paper is as follows: 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.