Related Experiment Video
Updated: May 30, 2025
06:21
Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer
Published on: May 10, 2024
619
Gastric cancer genomics study using reference human pangenomes
Du Jiao1, Xiaorui Dong1, Shiyu Fan1
1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Life Science Alliance
|January 27, 2025
Summary
Gastric cancer genomics research benefits from using a graph-based pangenome as a reference, especially for structural variant identification. Pangenome-based analysis shows promise for disease genomics, though tools need development.
Area of Science:
- Genomics
- Cancer Research
- Bioinformatics
Background:
- Genomics research is shifting towards pangenome references.
- Pangenome-based analysis is nascent in disease genomics studies.
Purpose of the Study:
- To introduce a graph-based pangenome (GGCPan) for gastric cancer.
- To compare GGCPan, a linear pangenome (GCPan), and the human reference genome for cancer genomics analysis.
Main Methods:
- Constructed a graph-based pangenome (GGCPan) from 185 gastric cancer patients.
- Systematically compared variant detection and gene identification using GGCPan, GCPan, and the human reference genome.
Main Results:
- Little difference in small variant detection and microsatellite instability identification across references.
- GGCPan significantly improved structural variant identification.
- Identified 24 candidate gastric cancer driver genes, with five unique to pangenome-based analysis.
Conclusions:
- Disease-specific pangenomes show promise as references in cancer genomics.
- Further development of bioinformatics tools is needed for pangenome-era disease genomics.
Related Concept Videos
02:02Genomics
35.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.8K
01:11Genome-wide Association Studies-GWAS
12.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
12.4K