Evidence map›Paper›PMID 27415003›Full record

ArticlePloS one2016

Performance Evaluation of NIPT in Detection of Chromosomal Copy Number Variants Using Low-Coverage Whole-Genome Sequencing of Plasma DNA.

Hongtai Liu, Ya Gao, Zhiyang Hu, Linhua Lin, Xuyang Yin, Jun Wang, Dayang Chen, Fang Chen, Hui Jiang, Jinghui Ren and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.8field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genome-wide noninvasive prenatal screening for carriers of balanced reciprocal translocations.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  19. Article
  20. 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

11 authors at 3 institutions in 2 countries.

Hongtai LiuBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Ya GaoBGI-Shenzhen, Shenzhen, 518083, China.
Zhiyang HuShenzhen People's Hospital, the Second Clinical Medical School of Jinan University, Shenzhen, 518020, China.
Linhua LinShenzhen People's Hospital, the Second Clinical Medical School of Jinan University, Shenzhen, 518020, China.
Xuyang YinBGI-Shenzhen, Shenzhen, 518083, China.
Jun WangBGI-Shenzhen, Shenzhen, 518083, China.
Dayang ChenBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Fang ChenBGI-Shenzhen, Shenzhen, 518083, China.
Hui JiangBGI-Shenzhen, Shenzhen, 518083, China.
Jinghui RenShenzhen People's Hospital, the Second Clinical Medical School of Jinan University, Shenzhen, 518020, China.
Wei WangBGI-Shenzhen, Shenzhen, 518083, China.
BGI Group (China) · CNJinan University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to assess the performance of noninvasively prenatal testing (NIPT) for fetal copy number variants (CNVs) in clinical samples, using a whole-genome sequencing method.

methodA total of 919 archived maternal plasma samples with karyotyping/microarray results, including 33 CNVs samples and 886 normal samples from September 1, 2011 to May 31, 2013, were enrolled in this study. The samples were randomly rearranged and blindly sequenced by low-coverage (about 7M reads) whole-genome sequencing of plasma DNA. Fetal CNVs were detected by Fetal Copy-number Analysis through Maternal Plasma Sequencing (FCAPS) to compare to the karyotyping/microarray results. Sensitivity, specificity and were evaluated.

results33 samples with deletions/duplications ranging from 1 to 129 Mb were detected with the consistent CNV size and location to karyotyping/microarray results in the study. Ten false positive results and two false negative results were obtained. The sensitivity and specificity of detection deletions/duplications were 84.21% and 98.42%, respectively.

conclusionWhole-genome sequencing-based NIPT has high performance in detecting genome-wide CNVs, in particular >10Mb CNVs using the current FCAPS algorithm. It is possible to implement the current method in NIPT to prenatally screening for fetal CNVs.

Indexed as

AdultDNADNA Copy Number VariationsFemaleGenome, HumanGestational AgeHigh-Throughput Nucleotide SequencingHumansKaryotypingPregnancyPrenatal DiagnosisSensitivity and SpecificityYoung AdultDNA

Identifiers

PMID27415003
PMCPMC4945049
OpenAlexW2464188247

What OpenQuestion holds

Textmetadata
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.