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Authors
Yang, Shuangyu
He, Dan
Li, Ling
Lu, Zhiya
Li, Shaoying
Lan, Tianjun
Liu, Feiyi
Zhang, Huasong
Cooper, David N.
Zhao, Huiying
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Funding
Funding for this research was provided by:
Natural Science Foundation of China (82371482)
Guangzhou Science and Technology Research Plan (2023A03J0659)
Natural Science Foundation of Guangdong Province (2024A1515011363)
National Key Research and Development Program of China (2023YFF1204902)
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Article History
Received: 26 January 2025
Accepted: 24 May 2025
First Online: 14 June 2025
Declarations
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: The study was approved by the Ethics Committee of Sun Yat-sen University, and informed consent was obtained from all subjects.
: Not applicable.
: The DGAT-cancer method is available as an open-source software package on the GitHub repository (). The analysis was conducted using R software (version 4.3.0). Simple somatic mutation (SSM) data from 12 cancer cohorts were downloaded from the Broad Institute GDAC Firehose Portal (), the International Cancer Genome Consortium (ICGC) Data Portal () and The Cancer Genome Atlas (TCGA) (). The germline mutation data of a healthy population were collected from Phase 3 of the 1000 Genomes Project (, GRCh38). RNA-seq data of tumors from 12 cancer types in TCGA were downloaded from the UCSC Xena platform ().No datasets were generated or analysed during the current study.Additional information is available at the website.
: The authors declare no competing interests.
