Bioinformatics analysis methods for cell-free DNA

Yaojia Chen; Yuxin Gong; Lijun Dou; Xun Zhou; Ying Zhang

doi:10.1016/j.compbiomed.2022.105283

Bioinformatics analysis methods for cell-free DNA

Comput Biol Med. 2022 Apr:143:105283. doi: 10.1016/j.compbiomed.2022.105283. Epub 2022 Feb 3.

Authors

Yaojia Chen¹, Yuxin Gong², Lijun Dou³, Xun Zhou⁴, Ying Zhang⁵

Affiliations

¹ Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
² Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China; School of Mathematics and Statistics, Hainan Normal University, Haikou, China.
³ Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China; School of Automotive and Transportation Engineering, Shenzhen Polytechnic, Shenzhen, China.
⁴ Beidahuang Industry Group General Hospital, Harbin, China. Electronic address: zhouxunjack@163.com.
⁵ Department of Anesthesiology, Hospital (T.C.M) Affiliated to Southwest Medical University, Luzhou, China. Electronic address: zhangying021210@163.com.

PMID: 35149459
DOI: 10.1016/j.compbiomed.2022.105283

Abstract

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.

Keywords: Cell-free DNA; Identification of cfDNA; Methylation; cfDNA related diseases.

Publication types

Review