Evidence map›Paper›PMID 30131598›Full record

ArticleJournal of human genetics2018

Identification of a de novo fetal variant in osteogenesis imperfecta by targeted sequencing-based noninvasive prenatal testing.

Xiuju Yin, Yang Du, Han Zhang, Zhandong Wang, Juan Wang, Xinxin Fu, Yaoyao Cui, Chongjian Chen, Junbin Liang, Zhaoling Xuan and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2018. 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
4.7field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Comparing Clinical and Genetic Characteristics ofFrontiers in endocrinology · 2022
    Article
  4. Liquid biopsy: state of reproductive medicine and beyond.Human reproduction (Oxford, England) · 2021
    Review
  5. Current Overview of Osteogenesis Imperfecta.Medicina (Kaunas, Lithuania) · 2021
    Review
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
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 2 institutions in 1 country.

Xiuju YinDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, 100044, China.
Yang DuAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Han ZhangAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Zhandong WangAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Juan WangAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Xinxin FuAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Yaoyao CuiAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Chongjian ChenAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Junbin LiangAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China.
Zhaoling XuanAnnoroad Gene Technology Co., Ltd, Beijing, 100176, China. zhlxuan@annoroad.com.
Xiaohong ZhangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, 100044, China. happyxh713@sina.com.
Annoroad Gene Technology (China) · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive prenatal testing (NIPT), which involves analysis of circulating cell-free fetal DNA (cffDNA) from maternal plasma, is highly effective for detecting feto-placental chromosome aneuploidy. However, recent studies suggested that coverage-based shallow-depth NIPT cannot accurately detect smaller single or multi-loci genetic variants. To assess the fetal genotype of any locus using maternal plasma, we developed a novel genotyping algorithm named pseudo tetraploid genotyping (PTG). We performed paired-end captured sequencing of the plasma cell-free DNA (cfDNA), in which case a phenotypically healthy woman is suspected to be carrying a fetus with genetic defect. After a series of independent filtering of 111,407 SNPs, we found one variant in COL1A1 graded with high pathogenic potential which might cause osteogenesis imperfecta (OI). Then, we verified this mutation by Sanger sequencing of fetal and parental blood cells. In addition, we evaluated the accuracy and detection rate of the PTG algorithm through direct sequencing of the genomic DNA from maternal and fetal blood cells. Collectively, our study developed an intuitive and cost-effective method for the noninvasive detection of pathogenic mutations, and successfully identified a de novo variant in COL1A1 (c.2596 G > A, p.Gly866Ser) in the fetus implicated in OI.

Indexed as

FetusHigh-Throughput Nucleotide SequencingPrenatal DiagnosisCollagen Type ICollagen Type I, alpha 1 ChainFemaleHumansMaleOsteogenesis ImperfectaPolymorphism, Single NucleotideCollagen Type ICollagen Type I, alpha 1 Chain

Identifiers

PMID30131598
OpenAlexW2888206104

What OpenQuestion holds

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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.