Toll-like Receptor 4 Pathway Polymorphisms Interact with Pollution to Influence Asthma Diagnosis and Severity

Scientific Reports
Shepherd H SchurmanStavros Garantziotis

Abstract

Asthma is a common chronic lung disease, the incidence and severity of which may be influenced by gene-environment interactions. Our objective was to examine associations between single nucleotide polymorphisms (SNPs) and combinations of SNPs in the toll-like receptor 4 (TLR4) pathway, residential distance to roadway as a proxy for traffic-related air pollution exposure, and asthma diagnosis and exacerbations. We obtained individual-level data on genotype, residential address, and asthma diagnosis and exacerbations from the Environmental Polymorphisms Registry. Subjects (n = 2,704) were divided into three groups (hyper-responders, hypo-responders, and neither) based on SNP combinations in genes along the TLR4 pathway. We geocoded subjects and calculated distance, classified as <250 m or ≥250 m, between residence and nearest major road. Relationships between genotype, distance to road, and odds of asthma diagnosis and exacerbations were examined using logistic regression. Odds of an asthma diagnosis among hyper-responders <250 m from a major road was 2.37(0.97, 6.01) compared to the reference group (p < 0.10). Hypo-responders ≥250 m from the nearest road had lower odds of activity limitations (0.46 [0.21, 0.95]) and sleeplessnes...Continue Reading

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Citations

Feb 11, 2020·Journal of Clinical Laboratory Analysis·Song MaoMin Xu
Mar 13, 2020·BMC Medical Informatics and Decision Making·Hao XuKaramarie Fecho
Jul 28, 2020·International Journal of Environmental Research and Public Health·Alejandro ValenciaKaramarie Fecho
Mar 20, 2019·Veterinary Immunology and Immunopathology·J WhitneyV R Barrs

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Methods Mentioned

BETA
Genotyping

Software Mentioned

MedCalc
SAS
ArcGIS
R
Streetmap

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