Evidence map›Paper›PMID 28262750›Full record

ArticleScientific reports2017

The interaction between farming/rural environment and TLR2, TLR4, TLR6 and CD14 genetic polymorphisms in relation to early- and late-onset asthma.

Melisa Y Z Lau, Shyamali C Dharmage, John A Burgess, Aung K Win, Adrian J Lowe, Caroline Lodge, Jennifer Perret, Jennie Hui, Paul S Thomas, Stephen Morrison and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.8field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Genetic susceptibility to respiratory health effects from outdoor air pollution: a structured narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
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  14. How a farming environment protects from atopy.Current opinion in immunology · 2019
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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

15 authors at 8 institutions in 1 country.

Melisa Y Z LauAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Shyamali C DharmageAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
John A BurgessAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Aung K WinAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Adrian J LoweAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Caroline LodgeAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Jennifer PerretAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Jennie HuiSchool of Population Health, the University of Western Australia, Perth, Australia.
Paul S ThomasInflammation and Infection Research Centre, University of New South Wales, Australia.
Stephen MorrisonDepartment of Medicine, the University of Queensland, Queensland, Australia.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Victoria, Australia.
John HopperAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Michael J AbramsonSchool of Public Health &Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
E Haydn WaltersAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
Melanie C MathesonAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, Australia.
University of Melbourne · AUMurdoch Children's Research Institute · AUCancer Council Victoria · AUMonash University · AUUniversity of Queensland · AUUniversity of Tasmania · AUUniversity of Western Australia · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma phenotypes based on age-of-onset may be differently influenced by the interaction between variation in toll-like receptor (TLR)/CD14 genes and environmental microbes. We examined the associations between single-nucleotide polymorphisms (SNP) in the TLR/CD14 genes and asthma, and their interaction with proxies of microbial exposure (childhood farm exposure and childhood rural environment). Ten SNPs in four genes (TLR2, TLR4, TLR6, CD14) were genotyped for 1,116 participants from the Tasmanian Longitudinal Health Study (TAHS). Using prospectively collected information, asthma was classified as never, early- (before 13 years) or late-onset (after 13 years). Information on childhood farm exposure/childhood rural environment was collected at baseline. Those with early-onset asthma were more likely to be males, had a family history of allergy and a personal history of childhood atopy. We found significant interaction between TLR6 SNPs and childhood farm exposure. For those with childhood farm exposure, carriers of the TLR6-rs1039559 T-allele (p-interaction = 0.009) and TLR6-rs5743810 C-allele (p-interaction = 0.02) were associated with lower risk of early-onset asthma. We suggest the findings to be interpreted as hypothesis-generating as the interaction effect did not withstand correction for multiple testing. In this large, population-based longitudinal study, we found that the risk of early- and late-onset asthma is differently influenced by the interaction between childhood farming exposure and genetic variations.

Indexed as

FarmsPolymorphism, Single NucleotideRural PopulationAdolescentAge of OnsetAsthmaChildChild, PreschoolDisease SusceptibilityEnvironmental ExposureFemaleHumansLipopolysaccharide ReceptorsMaleToll-Like Receptor 2Toll-Like Receptor 4Lipopolysaccharide ReceptorsToll-Like Receptor 2Toll-Like Receptor 4Toll-Like Receptor 6Toll-Like Receptors

Identifiers

PMID28262750
PMCPMC5337969
OpenAlexW2592850673

What OpenQuestion 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 OpenQuestion graph.