Evidence map›Paper›PMID 31719298›Full record

ArticleThe Indian journal of medical research2019

Haplotype analysis of

Sangeetha Vishweswaraiah, Nallur B Ramachandra, B S Jayaraj, Amrutha D Holla, Samarpana Chakraborty, Anurag Agrawal, Padukudru A Mahesh

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. ADAM33's Role in Asthma Pathogenesis: An Overview.International journal of molecular sciences · 2024
    Review
  4. Association betweenDiagnostics (Basel, Switzerland) · 2023
    Article
  5. [Association of theZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
    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

7 authors.

Sangeetha VishweswaraiahDepartment of Studies in Genetics & Genomics, Genetics & Genomics Lab, University of Mysore, Mysuru, Karnataka, India.
Nallur B RamachandraDepartment of Studies in Genetics & Genomics, Genetics & Genomics Lab, University of Mysore, Mysuru, Karnataka, India.
B S JayarajDepartment of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Amrutha D HollaAllergy Asthma Associates, Mysuru, Karnataka, India.
Samarpana ChakrabortyCenter of Excellence, Translational Research in Asthma & Lung Disease, CSIR-Institute of Genomics & Integrative Biology, Delhi, India.
Anurag AgrawalCenter of Excellence, Translational Research in Asthma & Lung Disease, CSIR-Institute of Genomics & Integrative Biology, Delhi, India.
Padukudru A MaheshDepartment of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: ADAM33 is implicated as a potentially strong candidate gene for asthma and bronchial hyper-responsiveness. Many polymorphisms of ADAM33 have been studied along with ADAM33 expression in various cells of the lungs. Haplotype analysis also showed association with asthma in different populations across the world. Therefore, the aim of this study was to perform a comprehensive screening of ADAM33 polymorphisms in adult patients with asthma. Methods: Thirty five polymorphisms of ADAM33 were genotyped in 55 patients with asthma and 53 controls. The association of single nucleotide polymorphisms (SNPs) and haplotypes with phenotypes of asthma was analysed. Results: The genotype, minor allele frequency, odds ratio and Hardy-Weinberg equilibrium did not show any significant difference among cases and controls. No association was found between SNPs of ADAM33 with the severity of asthma. Correlation analysis of ADAM33 SNPs to the phenotypes, based on clinical variables and allergen sensitization, did not show significant difference. Haplotype analysis showed that rs2280090 and rs2280091 were associated with asthma in the patient group. Interpretation & conclusions: Haplotype analysis showed an association of the two SNP variations with asthma. These SNPs lead to amino acid change and are prone to phosphorylation, which may affect expression levels and protein function of ADAM33 and asthma susceptibility.

Indexed as

HaplotypesADAM ProteinsAdultAllelesAsthmaBronchiCase-Control StudiesFemaleGene Expression ProfilingGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansLinkage DisequilibriumMaleMiddle AgedADAM33 protein, humanADAM ProteinsADAM33 - asthma - haplotype - polymorphisms - rs2280090 - rs2280091 - SNP

Identifiers

PMID31719298
PMCPMC6886134

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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.