Bioinformatics analysis methods for cell-free DNA

被引：7

作者：

Chen, Yaojia ^{[1
]}

Gong, Yuxin ^{[1
,2
]}

Dou, Lijun ^{[1
,3
]}

Zhou, Xun ^{[4
]}

Zhang, Ying ^{[5
]}

机构：

[1] Univ Elect Sci & Technol China, Yangtze Delta Region Inst Quzhou, Quzhou, Peoples R China

[2] Hainan Normal Univ, Sch Math & Stat, Haikou, Hainan, Peoples R China

[3] Shenzhen Polytech, Sch Automot & Transportat Engn, Shenzhen, Peoples R China

[4] Beidahuang Ind Grp Gen Hosp, Harbin, Peoples R China

[5] Southwest Med Univ, Hosp TCM, Dept Anesthesiol, Luzhou, Peoples R China

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2022年 / 143卷

基金：

国家重点研发计划;

关键词：

Cell-free DNA; Identification of cfDNA; Methylation; cfDNA related diseases; DIFFERENTIALLY METHYLATED REGIONS; CIRCULATING TUMOR DNA; PLASMA DNA; CANCER; IDENTIFICATION; ABERRATIONS; MUTATIONS; LANDSCAPE; ORIGIN;

D O I：

10.1016/j.compbiomed.2022.105283

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

As a kind of novel non-invasive marker for molecular detection, cell-free DNA (cfDNA) has potential value for the early diagnosis of diseases, prognosis assessment, and efficacy monitoring. The constant developments in molecular biology detection technologies have led to an increase in clinical studies on the use of cfDNA detection methods for patients, and many gratifying outcomes have been achieved. In this review, the contributions of bioinformatics tools to the study of cfDNA are well discussed. The focus of the review is on cfDNA identification signals, cfDNA identification methods, and the relationship of cfDNA with human diseases such as hepatic cancer, lung cancer, end-stage kidney disease, and ischemic stroke. The research significance and existing problems of using cfDNA as a biomarker for diseases are also discussed.

引用

页数：9

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