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Detection of False-Positive Deletions from the Database of Genomic Variants
Joint Authors
Yuan, Xiguo
Duan, Junbo
Liu, Han
Zhao, Lanling
Wang, Yu-Ping
Wan, Mingxi
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Next generation sequencing is an emerging technology that has been widely used in the detection of genomic variants.
However, since its depth of coverage, a main signature used for variant calling, is affected greatly by biases such as GC content and mappability, some callings are false positives.
In this study, we utilized paired-end read mapping, another signature that is not affected by the aforementioned biases, to detect false-positive deletions in the database of genomic variants.
We first identified 1923 suspicious variants that may be false positives and then conducted validation studies on each suspicious variant, which detected 583 false-positive deletions.
Finally we analysed the distribution of these false positives by chromosome, sample, and size.
Hopefully, incorrect documentation and annotations in downstream studies can be avoided by correcting these false positives in public repositories.
American Psychological Association (APA)
Duan, Junbo& Liu, Han& Zhao, Lanling& Yuan, Xiguo& Wang, Yu-Ping& Wan, Mingxi. 2019. Detection of False-Positive Deletions from the Database of Genomic Variants. BioMed Research International،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1127906
Modern Language Association (MLA)
Duan, Junbo…[et al.]. Detection of False-Positive Deletions from the Database of Genomic Variants. BioMed Research International No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1127906
American Medical Association (AMA)
Duan, Junbo& Liu, Han& Zhao, Lanling& Yuan, Xiguo& Wang, Yu-Ping& Wan, Mingxi. Detection of False-Positive Deletions from the Database of Genomic Variants. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1127906
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127906