Evidence map›Paper›PMID 39202464›Full record

ArticleGenes2024

A Heuristic Approach to Analysis of the Genetic Susceptibility Profile in Patients Affected by Airway Allergies.

Domenico Lio, Gabriele Di Lorenzo, Ignazio Brusca, Letizia Scola, Chiara Bellia, Simona La Piana, Maria Barrale, Manuela Bova, Loredana Vaccarino, Giusi Irma Forte and 1 more

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Domenico LioUniversity Research Center "Migrate", University of Palermo, 90100 Palermo, Italy.ORCID 0000-0003-4550-1389
Gabriele Di LorenzoDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, 90100 Palermo, Italy.
Ignazio BruscaClinical Pathology Unit, Buccheri La Ferla Hospital of Palermo, 90100 Palermo, Italy.ORCID 0000-0001-6243-7732
Letizia ScolaClinical Pathology, Department of Bio-Medicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
Chiara BelliaTransfusion Medicine Unit, University Hospital "Paolo Giaccone", 90100 Palermo, Italy.ORCID 0000-0003-0611-9363
Simona La PianaDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, 90100 Palermo, Italy.
Maria BarraleClinical Pathology Unit, Buccheri La Ferla Hospital of Palermo, 90100 Palermo, Italy.ORCID 0009-0005-9500-119X
Manuela BovaClinical Pathology, Department of Bio-Medicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
Loredana VaccarinoClinical Pathology, Department of Bio-Medicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
Giusi Irma ForteInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Cefalù Secondary Site, C/da Pietrapollastra-Pisciotto, 90015 Cefalù, Italy.ORCID 0000-0003-0161-9828
Giovanni PilatoInstitute for High Performance Computing and Networking (ICAR), National Research Council (CNR), 90100 Palermo, Italy.ORCID 0000-0002-6254-2249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allergic respiratory diseases such as asthma might be considered multifactorial diseases, having a complex pathogenesis that involves environmental factors and the activation of a large set of immune response pathways and mechanisms. In addition, variations in genetic background seem to play a central role. The method developed for the analysis of the complexities, as association rule mining, nowadays may be applied to different research areas including genetic and biological complexities such as atopic airway diseases to identify complex genetic or biological markers and enlighten new diagnostic and therapeutic targets. A total of 308 allergic patients and 205 controls were typed for 13 single nucleotide polymorphisms (SNPs) of cytokine and receptors genes involved in type 1 and type 2 inflammatory response (IL-4 rs2243250 C/T, IL-4R rs1801275A/G, IL-6 rs1800795 G/C, IL-10 rs1800872 A/C and rs1800896 A/G, IL-10RB rs2834167A/G, IL-13 rs1800925 C/T, IL-18 rs187238G/C, IFNγ rs 24030561A/T and IFNγR2 rs2834213G/A), the rs2228137C/T of CD23 receptor gene and rs577912C/T and rs564481C/T of Klotho genes, using KASPar SNP genotyping method. Clinical and laboratory data of patients were analyzed by formal statistic tools and by a data-mining technique-market basket analysis-selecting a minimum threshold of 90% of rule confidence. Formal statistical analyses show that IL-6 rs1800795GG, IL-10RB rs2834167G positive genotypes, IL-13 rs1800925CC, CD23 rs2228137TT Klotho rs564481TT, might be risk factors for allergy. Applying the association rule methodology, we identify 10 genotype combination patterns associated with susceptibility to allergies. Together these data necessitate being confirmed in further studies, indicating that the heuristic approach might be a straightforward and useful tool to find predictive and diagnostic molecular patterns that might be also considered potential therapeutic targets in allergy.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdolescentAdultAsthmaCase-Control StudiesChildFemaleHumansHypersensitivityInterleukin-10 Receptor beta SubunitMaleMiddle AgedReceptors, IgEIL10RB protein, humanInterleukin-10 Receptor beta SubunitReceptors, IgEairwaysallergycytokine gene SNPsheuristic approachKlothomarket basket analysis

Identifiers

PMID39202464
PMCPMC11353610

What Socratic 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 Socratic graph.