Evidence map›Paper›PMID 31165590›Full record

ArticleMolecular genetics & genomic medicine2019

A comprehensive assessment of Next-Generation Sequencing variants validation using a secondary technology.

Jianchao Zheng, Hongyun Zhang, Santasree Banerjee, Yun Li, Junyu Zhou, Qian Yang, Xuemei Tan, Peng Han, Qinmei Fu, Xiaoli Cui and 9 more

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Sanger validation of WGS variants.Scientific reports · 2025
    Article
  3. Article
  4. International journal of microbiology · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. 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

19 authors.

Jianchao ZhengBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-8100-6353
Hongyun ZhangBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Santasree BanerjeeBGI-Shenzhen, Shenzhen, China.ORCID 0000-0003-2481-4562
Yun LiBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Junyu ZhouBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Qian YangBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Xuemei TanBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Peng HanBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Qinmei FuBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Xiaoli CuiBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Yuying YuanBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Meiyan ZhangBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Ruiqin ShenBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Haifeng SongBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Xiuqing ZhangBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
Lijian ZhaoBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Zhiyu PengBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Wei WangBGI Clinical Laboratories-Shenzhen, BGI-Shenzhen, Shenzhen, China.
Ye YinBGI Genomics, BGI-Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, increasing innovations improved the accuracy of next generation sequencing (NGS) data. However, the validation of all NGS variants increased the cost and turn-around time of clinical diagnosis, and therefore limited the further development of clinical applications. We aimed to comprehensively assess the necessity of validating NGS variants.

methodsValidation data of 7,601 NGS variants involving 1,045 genes were collected from 5,190 clinical samples and sequenced by one of five targeted capture panels and two NGS chemistries, respectively. These genes and variants were widely distributed in 24 human chromosomes and mitochondrial genome. Variants validation was firstly processed by Sanger sequencing. If validation results were unavailable or inconsistent with NGS calls, another validation test would be performed by mass spectrometry genotyping.

resultsA total of 6,939 high quality NGS variants with ≥35 × depth coverage and ≥35% heterozygous ratio were 100% confirmed by a secondary methodology. 5,775 heterozygous variants were separated from 760 homozygous variants and 404 hemizygous variants by 80% heterozygous ratio. A total of 1.5% (98/6,939) of NGS variants were validated by mass spectrometry genotyping.

conclusionConsidering of the above comprehensive assessment, a new variant with high quality from a well-validated capture-based NGS workflow can be reported directly without validation.

Indexed as

Base SequenceGenetic VariationHigh-Throughput Nucleotide SequencingHumansMutationReproducibility of ResultsSequence Analysis, DNANGSquality thresholdSanger sequencingtarget enrichmentvalidation

Identifiers

PMID31165590
PMCPMC6625156

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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.