Evidence map›Paper›PMID 35897115›Full record

ArticleHuman genomics2022

Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders.

Wenman Wu, Xuanyou Zhou, Zhengwen Jiang, Dazhi Zhang, Feng Yu, Lanlan Zhang, Xuefeng Wang, Songchang Chen, Chenming Xu

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Fetal gene therapy.Journal of inherited metabolic disease · 2024
    Review
  4. 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

9 authors at 3 institutions in 1 country.

Wenman Wu *Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Xuanyou Zhou *Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, People's Republic of China.
Zhengwen Jiang *Genesky Diagnostics (Suzhou) Inc., 218 Xinghu St, Suzhou, Jiangsu, People's Republic of China.
Dazhi ZhangGenesky Diagnostics (Suzhou) Inc., 218 Xinghu St, Suzhou, Jiangsu, People's Republic of China.
Feng YuGenesky Diagnostics (Suzhou) Inc., 218 Xinghu St, Suzhou, Jiangsu, People's Republic of China.
Lanlan ZhangInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Xuefeng WangDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China. wangxuefeng6336@hotmail.com.
Songchang ChenObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, People's Republic of China. chensongc@hotmail.com.
Chenming XuObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, People's Republic of China. chenming_xu2006@163.com.
Shanghai Jiao Tong University · CNRuijin Hospital · CNInternational Peace Maternity & Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-cost, time-consuming and complex processes of several current approaches limit the use of noninvasive prenatal diagnosis (NIPD) for monogenic disorders in clinical application. Thus, a more cost-effective and easily implementable approach is required.

methodsWe established a low-cost and convenient test to noninvasively deduce fetal genotypes of the mutation and single nucleotide polymorphisms (SNPs) loci by means of targeted amplification combined with deep sequencing of maternal genomic and plasma DNA. The sequential probability ratio test was performed to detect the allelic imbalance in maternal plasma. This method can be employed to directly examine familial pathogenic mutations in the fetal genome, as well as infer the inheritance of parental haplotypes through a group of selected SNPs linked to the pathogenic mutation.

resultsThe fetal mutations in 17 families with different types of monogenic disorders including hemophilia A, von Willebrand disease type 3, Duchenne muscular dystrophy, hyper-IgM type 1, glutaric acidemia type I, Nagashima-type palmoplantar keratosis, and familial exudative vitreoretinopathy were identified in the study. The mutations included various forms: point mutations, gene inversion, deletions/insertions and duplication. The results of 12 families were verified by sequencing of amniotic fluid samples, the accuracy of the approach in fetal genotyping at the mutation and SNPs loci was 98.85% (172/174 loci), and the no-call rate was 28.98% (71/245 loci). The overall accuracy was 12/12 (100%). Moreover, the approach was successfully applied in plasma samples with a fetal fraction as low as 2.3%.

conclusionsWe have shown in this study that the approach is a cost-effective, less time consuming and accurate method for NIPD of monogenic disorders.

Indexed as

FetusPrenatal DiagnosisFemaleGenotypeHaplotypesHumansNucleotidesPolymorphism, Single NucleotidePregnancyNucleotidesCell-free DNAFetal genotypingMassively parallel sequencingMonogenic disorderPrenatal diagnosis

Identifiers

PMID35897115
PMCPMC9327225
OpenAlexW4288751735

What OpenQuestion holds

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Registered trials

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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.