Evidence map›Paper›PMID 31080831›Full record

ArticleBioMed research international2019

Detection of False-Positive Deletions from the Database of Genomic Variants.

Junbo Duan, Han Liu, Lanling Zhao, Xiguo Yuan, Yu-Ping Wang, Mingxi Wan

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Junbo DuanDepartment of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China.ORCID 0000-0001-7170-3772
Han LiuDepartment of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China.
Lanling ZhaoDepartment of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China.
Xiguo YuanSchool of Computer Science and Technology, Xidian University, Xi'an, China.
Yu-Ping WangDepartment of Biomedical Engineering, Tulane University, New Orleans, USA.
Mingxi WanDepartment of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China.
Xi'an Jiaotong University · CNTulane University · USXidian University · CN

Funding

Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
Integration of fMRI imaging, genomics, network and biological knowledgeR01MH107354 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2015 to 2018
$1.9M
Integration of multiscale genomic data for comprehensive analysis of complex diseR01GM109068 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2014 to 2018
$1.6M
NIGMS NIH HHS R01 GM109068NIMH NIH HHS R01 MH104680NIMH NIH HHS R01 MH107354
6 · The paper itself

Abstract

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.

Indexed as

Databases, GeneticGenomicsSequence DeletionBase CompositionChromosome MappingComputational BiologyFalse Positive ReactionsGenetic VariationGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID31080831
PMCPMC6475568
OpenAlexW2925796171

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.