c-MET pathway involvement in chronic rhinosinusitis: A genetic association analysis

The c-MET receptor and its ligand hepatocyte growth factor (HGF) has been shown to be overexpressed in tissue from chronic rhinosinusitis (CRS) patients with nasal polyps compared with that from controls. We assessed the genetic association of polymorphisms in the met proto-oncogene (MET) gene with...

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Veröffentlicht in:Otolaryngology-head and neck surgery 2010-05, Vol.142 (5), p.665-671
Hauptverfasser: Castano, Roberto, Bossé, Yohan, Endam, Leandra Mfuna, Filali-Mouhim, Abdelali, Desrosiers, Martin
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container_issue 5
container_start_page 665
container_title Otolaryngology-head and neck surgery
container_volume 142
creator Castano, Roberto
Bossé, Yohan
Endam, Leandra Mfuna
Filali-Mouhim, Abdelali
Desrosiers, Martin
description The c-MET receptor and its ligand hepatocyte growth factor (HGF) has been shown to be overexpressed in tissue from chronic rhinosinusitis (CRS) patients with nasal polyps compared with that from controls. We assessed the genetic association of polymorphisms in the met proto-oncogene (MET) gene with CRS. Case-control genetic association study. Tertiary-care university hospital. A total of 206 unrelated Canadian patients with CRS and 196 control subjects were enrolled. Subjects were genotyped for 33 polymorphisms in the MET gene. The allelic association analysis showed eight single nucleotide polymorphisms in the MET gene (rs38850, rs38855, rs38857, rs2237717, rs2402118, rs193688, rs1621, rs42336) with a statistically significant association with CRS. The rs38850 T allele showed the strongest association and the highest risk for CRS ( P = 0.004; odds ratio 1.65, 95% confidence interval 1.18-2.32); the association did not reach statistical significance after adjustment for genomic control ( P = 0.06). The haplotype TGG constructed of markers rs38850, rs38855, and rs38857 represented a risk haplotype, resulting in a P value of 0.003 that remained significant after correction for multiple testing ( P = 0.018). These data suggest that polymorphisms in the MET gene may play a role in the susceptibility to develop CRS. Study findings apply to patients with severe CRS unresponsive to surgery.
doi_str_mv 10.1016/j.otohns.2010.01.004
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We assessed the genetic association of polymorphisms in the met proto-oncogene (MET) gene with CRS. Case-control genetic association study. Tertiary-care university hospital. A total of 206 unrelated Canadian patients with CRS and 196 control subjects were enrolled. Subjects were genotyped for 33 polymorphisms in the MET gene. The allelic association analysis showed eight single nucleotide polymorphisms in the MET gene (rs38850, rs38855, rs38857, rs2237717, rs2402118, rs193688, rs1621, rs42336) with a statistically significant association with CRS. The rs38850 T allele showed the strongest association and the highest risk for CRS ( P = 0.004; odds ratio 1.65, 95% confidence interval 1.18-2.32); the association did not reach statistical significance after adjustment for genomic control ( P = 0.06). The haplotype TGG constructed of markers rs38850, rs38855, and rs38857 represented a risk haplotype, resulting in a P value of 0.003 that remained significant after correction for multiple testing ( P = 0.018). These data suggest that polymorphisms in the MET gene may play a role in the susceptibility to develop CRS. 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The haplotype TGG constructed of markers rs38850, rs38855, and rs38857 represented a risk haplotype, resulting in a P value of 0.003 that remained significant after correction for multiple testing ( P = 0.018). These data suggest that polymorphisms in the MET gene may play a role in the susceptibility to develop CRS. 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subjects Chronic Disease
Female
Genome-Wide Association Study
Hepatocyte Growth Factor - analysis
Humans
Male
Middle Aged
Nasal Polyps - complications
Polymorphism, Single Nucleotide
Proto-Oncogene Proteins c-met - analysis
Rhinitis - complications
Rhinitis - genetics
Sinusitis - complications
Sinusitis - genetics
title c-MET pathway involvement in chronic rhinosinusitis: A genetic association analysis
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