Evidence map›Paper›PMID 35193651›Full record

ArticleOrphanet journal of rare diseases2022

Application of a next-generation sequencing (NGS) panel in newborn screening efficiently identifies inborn disorders of neonates.

Xinwen Huang, Dingwen Wu, Lin Zhu, Wenjun Wang, Rulai Yang, Jianbin Yang, Qunyan He, Bingquan Zhu, Ying You, Rui Xiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
11.6field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  13. Assessment of the variant prioritization strategy for genomic newborn screening in the Generation Study.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  14. Article
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  16. Data-driven consideration of genetic disorders for global genomic newborn screening programs.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  17. Article
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  19. Brain morphometry in hepatic Wilson disease patients.Journal of inherited metabolic disease · 2025
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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.

Xinwen Huang *Department of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China.
Dingwen Wu *Department of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China.
Lin ZhuHangzhou Biosan Clinical Laboratory Co. Ltd, 859 Shixiang West Road, Hangzhou, Zhejiang Province, People's Republic of China.
Wenjun WangHangzhou Biosan Clinical Laboratory Co. Ltd, 859 Shixiang West Road, Hangzhou, Zhejiang Province, People's Republic of China.
Rulai YangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China.
Jianbin YangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China.
Qunyan HeZhejiang Biosan Biochemical Technologies Co. Ltd, 859 Shixiang West Rd, Hangzhou, 310007, Zhejiang Province, People's Republic of China.
Bingquan ZhuDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China.
Ying YouZhejiang Biosan Biochemical Technologies Co. Ltd, 859 Shixiang West Rd, Hangzhou, 310007, Zhejiang Province, People's Republic of China.
Rui XiaoZhejiang Biosan Biochemical Technologies Co. Ltd, 859 Shixiang West Rd, Hangzhou, 310007, Zhejiang Province, People's Republic of China. xiaorui@biosan.cn.
Zhengyan ZhaoDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People's Republic of China. zhaozy@zju.edu.cn.ORCID 0000-0003-2368-0486
Children's Hospital of Zhejiang University · CNZhejiang Medicine (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNewborn screening (NBS) has been implemented for neonatal inborn disorders using various technology platforms, but false-positive and false-negative results are still common. In addition, target diseases of NBS are limited by suitable biomarkers. Here we sought to assess the feasibility of further improving the screening using next-generation sequencing technology.

methodsWe designed a newborn genetic sequencing (NBGS) panel based on multiplex PCR and next generation sequencing to analyze 134 genes of 74 inborn disorders, that were validated in 287 samples with previously known mutations. A retrospective cohort of 4986 newborns was analyzed and compared with the biochemical results to evaluate the performance of this panel.

resultsThe accuracy of the panel was 99.65% with all samples, and 154 mutations from 287 samples were 100% detected. In 4986 newborns, a total of 113 newborns were detected with biallelic or hemizygous mutations, of which 36 newborns were positive for the same disorder by both NBGS and conventional NBS (C-NBS) and 77 individuals were NBGS positive/C-NBS negative. Importantly, 4 of the 77 newborns were diagnosed currently including 1 newborn with methylmalonic acidemia, 1 newborn with primary systemic carnitine deficiency and 2 newborns with Wilson's disease. A total of 1326 newborns were found to be carriers with an overall carrier rate of 26.6%.

conclusionAnalysis based on next generation sequencing could effectively identify neonates affected with more congenital disorders. Combined with C-NBS, this approach may improve the early and accurate identification of neonates with inborn disorders. Our study lays the foundation for prospective studies and for implementing NGS-based analysis in NBS.

Indexed as

Amino Acid Metabolism, Inborn ErrorsNeonatal ScreeningHigh-Throughput Nucleotide SequencingHumansInfant, NewbornProspective StudiesRetrospective StudiesGene mutationInherited disordersMultiple PCRNewborn genetic screening

Identifiers

PMID35193651
PMCPMC8862216
OpenAlexW4213371804

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.