Evidence map›Paper›PMID 30554485›Full record

ReviewYonsei medical journal2019

Clinical Implications of Single Nucleotide Polymorphisms in Diagnosis of Asthma and its Subtypes.

Jong Sook Park, Ji Hye Son, Choon Sik Park, Hun Soo Chang

Open access · goldAbstract readReview
In one paragraph

Review in Yonsei medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. IDENTIFYING INDIVIDUAL STRESS SUSCEPTIBILITY USING GENOMIC AND IMMUNE BIOMARKERS.Transactions of the American Clinical and Climatological Association · 2019
    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

4 authors at 1 institution in 1 country.

Jong Sook ParkDivision of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.ORCID https://orcid.org/0000-0003-4128-9085
Ji Hye SonDepartment of Interdisciplinary Program in Biomedical Science, Graduate School, Soonchunhyang University, Bucheon, Korea.ORCID https://orcid.org/0000-0002-5380-1245
Choon Sik ParkDivision of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.ORCID https://orcid.org/0000-0003-2977-0255
Hun Soo ChangDepartment of Interdisciplinary Program in Biomedical Science, Graduate School, Soonchunhyang University, Bucheon, Korea. hschang@sch.ac.kr.ORCID https://orcid.org/0000-0002-4025-4182
Soonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past three decades, a large number of genetic studies have been performed to examine genetic variants associated with asthma and its subtypes in hopes of gaining better understanding of the mechanisms underlying disease pathology and to identify genetic biomarkers predictive of disease outcomes. Various methods have been used to achieve these objectives, including linkage analysis, candidate gene polymorphism analysis, and genome-wide association studies (GWAS); however, the degree to which genetic variants contribute to asthma pathogenesis has proven to be much less significant than originally expected. Subsequent application of GWAS to well-defined phenotypes, such as occupational asthma and non-steroidal anti-inflammatory drugexacerbated respiratory diseases, has overcome some of these limitations, although with only partial success. Recently, a combinatorial analysis of single nucleotide polymorphisms (SNPs) identified by GWAS has been used to develop sets of genetic markers able to more accurately stratify asthma subtypes. In this review, we discuss the implications of the identified SNPs in diagnosis of asthma and its subtypes and the progress being made in combinatorial analysis of genetic variants.

Indexed as

AsthmaGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideGenetic MarkersaspirinAsthmabiomarkersgenetic techniquesnon-steroidal anti-inflammatory agentssingle nucleotide polymorphism

Identifiers

PMID30554485
PMCPMC6298887
OpenAlexW2905271276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.