Evidence map›Paper›PMID 34122524›Full record

ArticleFrontiers in genetics2021

Genetic Analysis Using a Next Generation Sequencing-Based Gene Panel in Patients With Skeletal Dysplasia: A Single-Center Experience.

Su Jin Kim, Sae-Mi Lee, Jong-Moon Choi, Ja-Hyun Jang, Hyun Gi Kim, Jung-Taek Kim, Jae Ho Cho, Young Bae Sohn

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 5 institutions in 1 country.

Su Jin KimDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
Sae-Mi LeeGC Genome, GC Labs, Yongin-si, South Korea.
Jong-Moon ChoiGC Genome, GC Labs, Yongin-si, South Korea.
Ja-Hyun JangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Seoul, South Korea.
Hyun Gi KimDepartment of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Jung-Taek KimDepartment of Orthopedic Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon-si, South Korea.
Jae Ho ChoDepartment of Orthopedic Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon-si, South Korea.
Young Bae SohnDepartment of Medical Genetics, Ajou University Hospital, Ajou University School of Medicine, Suwon-si, South Korea.
Ajou University Hospital · KRGenome and Company (South Korea) · KRInha University Hospital · KRSamsung Medical Center · KRSeoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal dysplasia (SD), a heterogeneous disease group with rare incidence and various clinical manifestations, is associated with multiple causative genes. For clinicians, accurate diagnosis of SD is clinically and genetically difficult. The development of next-generation sequencing (NGS) has substantially aided in the genetic diagnosis of SD. In this study, we conducted a targeted NGS of 437 genes - included in the nosology of SD published in 2019 - in 31 patients with a suspected SD. The clinical and genetic diagnoses were confirmed in 16 out of the 31 patients, and the diagnostic yield was 51.9%. In these patients, 18 pathogenic variants were found in 13 genes (

Indexed as

genetic heterogeneitymolecular genetic testnext-generation sequencingskeletal dysplasiaskeletal genetics

Identifiers

PMID34122524
PMCPMC8188553
OpenAlexW3165366778

What OpenQuestion holds

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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.