Gastric cancer genomics study using reference human pangenomes

A pangenome is the sum of the genetic information of all individuals in a species or a population. Genomics research has been gradually shifted to a paradigm using a pangenome as the reference. However, in disease genomics study, pangenome-based analysis is still in its infancy. In this study, we introduced a graph-based pangenome GGCPan from 185 patients with gastric cancer. We then systematically compared the cancer genomics study results using GGCPan, a linear pangenome GCPan, and the human reference genome as the reference. For small variant detection and microsatellite instability status identification, there is little difference in using three different genomes. Using GGCPan as the reference had a significant advantage in structural variant identification. A total of 24 candidate gastric cancer driver genes were detected using three different reference genomes, of which eight were common and five were detected only based on pangenomes. Our results showed that disease-specific pangenome as a reference is promising and a whole set of tools are still to be developed or improved for disease genomics study in the pangenome era.

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Publication Details

Journal
Life Science Alliance
Published
2025-01-27
DOI
https://doi.org/10.26508/lsa.202402977
Citations
1
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
1.47

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article

Gastric cancer genomics study using reference human pangenomes

Chaochun Wei, Xiaorui Dong, Yingyan Yu, Xin-Yi Liu et al.
1 citations
Life Science Alliance
Genetic factors in colorectal cancer
1.47
article

Gastric cancer genomics study using reference human pangenomes

Chaochun Wei, Xiaorui Dong, Yingyan Yu, Xin-Yi Liu, Du Jiao, Shiyu Fan
article en
1 citations

Abstract

A pangenome is the sum of the genetic information of all individuals in a species or a population. Genomics research has been gradually shifted to a paradigm using a pangenome as the reference. However, in disease genomics study, pangenome-based analysis is still in its infancy. In this study, we introduced a graph-based pangenome GGCPan from 185 patients with gastric cancer. We then systematically compared the cancer genomics study results using GGCPan, a linear pangenome GCPan, and the human reference genome as the reference. For small variant detection and microsatellite instability status identification, there is little difference in using three different genomes. Using GGCPan as the reference had a significant advantage in structural variant identification. A total of 24 candidate gastric cancer driver genes were detected using three different reference genomes, of which eight were common and five were detected only based on pangenomes. Our results showed that disease-specific pangenome as a reference is promising and a whole set of tools are still to be developed or improved for disease genomics study in the pangenome era.

Life Science AllianceVol. 8(4)
Shanghai Jiao Tong University (CN), Shanghai Institute of Hematology (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University, School of Medicine, Shanghai Jiao Tong University, National Key Research and Development Program of China
Openalex Percentile: Top 23%
Genetic factors in colorectal cancer
1.47
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