Evidence map›Paper›PMID 28125085›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

The next generation of population-based spinal muscular atrophy carrier screening: comprehensive pan-ethnic SMN1 copy-number and sequence variant analysis by massively parallel sequencing.

Yanming Feng, Xiaoyan Ge, Linyan Meng, Jennifer Scull, Jianli Li, Xia Tian, Tao Zhang, Weihong Jin, Hanyin Cheng, Xia Wang and 17 more

Open access · bronzeAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

27 authors at 2 institutions in 1 country.

Yanming FengDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Xiaoyan GeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Linyan MengDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Jennifer ScullDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-3953-1744
Jianli LiBaylor Genetics Laboratories, Houston, Texas, USA.ORCID 0000-0002-9856-0895
Xia TianBaylor Genetics Laboratories, Houston, Texas, USA.
Tao ZhangBaylor Genetics Laboratories, Houston, Texas, USA.ORCID 0000-0003-4889-1044
Weihong JinBaylor Genetics Laboratories, Houston, Texas, USA.
Hanyin ChengBaylor Genetics Laboratories, Houston, Texas, USA.
Xia WangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-7750-1167
Mari TokitaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Pengfei LiuDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Hui MeiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Yue WangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-9197-9810
Fangyuan LiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-7516-3195
Eric S SchmittBaylor Genetics Laboratories, Houston, Texas, USA.ORCID 0000-0002-4098-1275
Wei V ZhangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Donna MuznyDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Shu WenDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Zhao ChenDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Yaping YangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-5608-8628
Arthur L BeaudetDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-8285-5528
Xiaoming LiuCurrent affiliation: AmCare Genomics Lab, Guangzhou, China.
Christine M EngDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Fan XiaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Lee-Jun WongDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Jinglan ZhangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-4600-7123
Baylor College of Medicine · USBaylor Genetics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate pan-ethnic SMN1 copy-number and sequence variation by hybridization-based target enrichment coupled with massively parallel sequencing or next-generation sequencing (NGS).

methodsNGS reads aligned to SMN1 and SMN2 exon 7 were quantified to determine the total combined copy number of SMN1 and SMN2. The ratio of SMN1 to SMN2 was calculated based on a single-nucleotide difference that distinguishes the two genes. SMN1 copy-number results were compared between the NGS and quantitative polymerase chain reaction and/or multiplex ligation-dependent probe amplification. The NGS data set was also queried for the g.27134T>G single-nucleotide polymorphism (SNP) and other SMN1 sequence pathogenic variants.

resultsThe sensitivity of the test to detect spinal muscular atrophy (SMA) carriers with one copy of SMN1 was 100% (95% confidence interval (CI): 95.9-100%; n = 90) and specificity was 99.6% (95% CI: 99.4-99.7%; n = 6,648). Detection of the g.27134T>G SNP by NGS was 100% concordant with an restriction fragment-length polymorphism method (n = 493). Ten single-nucleotide variants in SMN1 were detectable by NGS and confirmed by gene-specific amplicon-based sequencing. This comprehensive approach yielded SMA carrier detection rates of 90.3-95.0% in five ethnic groups studied.

conclusionWe have developed a novel, comprehensive SMN1 copy-number and sequence variant analysis method by NGS that demonstrated improved SMA carrier detection rates across the entire population examined.Genet Med advance online publication 19 January 2017.

Indexed as

Genetic Carrier ScreeningGene DosageHigh-Throughput Nucleotide SequencingHumansMuscular Atrophy, SpinalPolymorphism, Single NucleotideReproducibility of ResultsSensitivity and SpecificitySurvival of Motor Neuron 1 ProteinSurvival of Motor Neuron 2 ProteinSMN1 protein, humanSMN2 protein, humanSurvival of Motor Neuron 1 ProteinSurvival of Motor Neuron 2 Protein

Identifiers

PMID28125085
OpenAlexW2581219170

What OpenQuestion holds

Textmetadata
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.