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Original Article
150 (
3
); 272-281
doi:
10.4103/ijmr.IJMR_698_17

Haplotype analysis of ADAM33 polymorphisms in asthma: A pilot study

Department of Studies in Genetics & Genomics, Genetics & Genomics Lab, University of Mysore, Mysuru, Karnataka, India
Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India
Allergy Asthma Associates, Mysuru, Karnataka, India
Center of Excellence, Translational Research in Asthma & Lung Disease, CSIR-Institute of Genomics & Integrative Biology, Delhi, India

For correspondence: Dr Padukudru A. Mahesh, Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research (JSSAHER), Mysuru 570 015, Karnataka, India e-mail: mahesh1971in@yahoo.com

Licence

This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Disclaimer:
This article was originally published by Wolters Kluwer - Medknow and was migrated to Scientific Scholar after the change of Publisher.

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.

Keywords

ADAM33
asthma
haplotype
polymorphisms
rs2280090
rs2280091
SNP

Asthma is associated with multiple single nucleotide polymorphisms (SNPs) of several genes; among them, ADAM33 is considered as a potentially significant asthma candidate gene. ADAM33 is one of the few genes that have been consistently found to be associated with asthma and bronchial hyper-responsiveness, and the findings have been reproduced in more than six independent populations; Caucasian, African-American, Hispanic, Japan, China, Korean and Jordan123. ADAM33 has been shown to have a higher expression in epithelial cells and smooth muscle cells of airways among asthmatics compared to controls. It has been identified as a potential therapeutic target for asthma as it enables airway inflammatory and remodelling effects after allergen exposure45. Every individual's genotype entails multiple closely linked SNPs, which can be referred to as haplotypes. Haplotypes are analyzed mainly for two reasons; primarily, haplotype alleles may exist in closer linkage disequilibrium with causal variant compared to single measured SNP and the other reason being that the haplotypes can be causal variants of significance by themselves6. The haplotype analysis can be considered to narrow down the position of disease susceptible loci, complex disease gene mapping and genome-wide association studies and to reconstruct the histories of human population78. Common haplotype frequencies can be evaluated based on the known marker phenotypes in unrelated individuals of a population9.

ADAM33 is important in asthma and is one of the few associations that have been successfully reproduced in follow up studies, including the haplotype analysis in different populations across the world. Over 55 different SNPs of ADAM33 have been reported in the literature, and the majority of these have been associated with asthma10. The present pilot study was carried out to comprehensively screen 35 ADAM33 polymorphisms that have been known to be associated with asthma in patients with asthma and healthy individuals.

Material & Methods

Consecutive patients with asthma (n=55) visiting the JSS Hospital, Mysuru, India, from July 2012 to January 2013 were included in the study. The age- and gender-matched controls were selected from the general population from the Burden of Obstructive Lung Disease (BOLD) cohort in urban Mysuru11. Both patients and normal controls underwent spirometry, pre- and post-bronchodilator, satisfying the American Thoracic Society standards12. The diagnosis of asthma was based according to the Global Initiative for Asthma (GINA) guidelines having a reversibility of more than 12 per cent and 200 ml on post-bronchodilator spirometry13. Asthma patients were classified according to severity based on the GINA-2012 guidelines as mild-, moderate- and severe-persistent asthma (https://ginasthma.org/wp-content/uploads/2019/01/2012-GINA.pdf). All the asthmatics underwent skin prick testing to confirm atopy. The patient was said to be atopic if he/she was sensitized to any one of the allergens tested. A wheal size of more than 3 mm of saline control was considered a positive skin prick test. Three millilitres of venous blood was collected into BD Vacutainer® Plus Plastic K2 EDTA tubes (USA). Wizard Genomic DNA isolation kit (Promega, USA) was used to isolate genomic DNA from peripheral blood leucocytes.

The patients below 18 yr were excluded from the study. Further, the patients with any other respiratory diseases were also excluded. The Institutional Human Ethical Committee of University of Mysore approved the present study (IHEC-UOM No.79 Ph.D/2012-13). Written informed consent was taken from all the patients/participants of the study.

Single nucleotide polymorphism (SNP) genotyping using MassARRAY analysis: SNP genotyping in the samples was performed using the Sequenom MassARRAY platform using MALDI-TOF mass spectrometry in Xcelris Genomics Company, Ahmedabad, India, wherein Sequenom-iPLEXR Gold SNP genotyping-platform (Agena Bioscience™, CA, USA) along with Spectro CHIP was used for the MassARRAY method and the analysis was done with MALDI-TOF mass spectrometry.

Analysis of SNPs of ADAM33 gene: ADAM33 consists of 22 exons and 21 introns encoding 813 amino acids. There are more than 340 SNPs identified in this gene14. This study was performed on 35 SNPs of ADAM33 selected based on previous studies1516 as well as from the databases (https://www.ncbi.nlm.nih.gov/snp/ and https://www.snpedia.com/index.php/SNPedia). The SNPs selected and their positions on the genome along with the type of SNPs, primers used for ADAM33 SNP genotyping alongside the mass of unextended (E1) and extended (E2) primers in Daltons are listed in Table I.

Table I List of 35 single nucleotide polymorphisms (SNPs) of ADAM33 used for genotyping of ADAM33 variants in healthy controls and asthma patients
SNP rs ID Position in bp Type of variant UEP sequence Allele (E1/E2) Mass of UEP/E1/E2 (Dalton)
rs2280091 3669587 Non-synonymous GGGCGGCGTTCACCCCA G/A 5172.4/5419.5/5499.5
rs2787094 3668514 3’UTR GTCCACACTCCCCTG G/C 4448.9/4696.1/4736.1
rs3918391 3675071 Non-synonymous CCAGGATACATAGAAACCCAC C/T 6377.2/6624.4/6704.3
rs3918396 3671118 Non-synonymous GGCCATGCTCCTCAGC A/G 5107.3/5378.5/5394.5
rs677044 3668784 3’UTR CCAGCCCTCAGGAACTTCTA G/A 6021.9/6293.1/6309.1
rs2853209 3670825 Intronic TGGCCTCCCAGTCAAGCG T/A 5764.7/6036/6091.8
rs3918392 3674572 Non-synonymous GCTCACCTGGAAAGGA A/G 6176/6447.2/6463.2
rs137919189 3668971 Non-synonymous GCTACCTCTCACCAGA A/G 5394.5/5665.7/5681.7
rs41462450 3671022 Non-synonymous TGGGGCTGCAGAAGG G/T 5340.5/5627.7/5667.6
rs6084434 3674821 Synonymous ACTACCAAGGGCGAGTAA T/C 5541.6/5812.8/5828.8
rs3918394 3672848 Non-synonymous CCCCCCTTGCGGAAGAAG T/C 6970.5/7241.7/7257.7
rs3918401 3668993 Non-synonymous TCCTCATTCTCAGCAGATCA A/T 6341.1/6612.3/6668.2
rs2787093 3667815 Downstream GCAGGCCGAGCCTAG T/C 5470.6/5741.8/5757.8
rs511898 3674438 Intronic TCGAGGCCTGTGAATTCC C/T 6775.4/7022.6/7102.5
rs2485700 3674346 Intronic CTTCTGGGAGCTGGG C/T 6140/6411.2/6427.2
rs2271510 3673503 Intronic CGAGTGGTCCTGGGG A/G 5595.6/5866.8/5882.8
rs2485699 3674341 Intronic TGGGAGCTGGGATTGG C/A 5033.3/5320.5/5360.4
rs574174 3670047 Intronic AATGACAAGGCCTTGGG T/C 5259.4/5530.6/5546.6
rs12479696 3669310 Non-synonymous TGCCAGCAGTCTCGC G/A 5998.9/6246.1/6326
rs615436 3672188 Non-synonymous GGGGCAGTGGCTACT G/A 4649/4896.2/4976.1
rs17513846 3669893 Intronic TCCTCCAGGCTCTGA C/A 4503.9/4751.1/4775.1
rs614971 3668203 3’UTR ATCACCAGAGGCCAG C/G 4571/4818.2/4858.2
rs41419248 3673394 Synonymous GGCTGCTGCGTGGAGGCT G/T 6214/6501.2/6541.1
rs41534847 3673835 Synonymous GGACCGCAGCCGCGTCA T/C 5181.4/5428.6/5508.5
rs41467948 3675034 Non-synonymous TGGTGCTGGCCCCCA G/A 5451.5/5722.7/5738.7
rs41382144 3672615 Non-synonymous GTGAGCAAAGCAGCAGAG G/C 5935.9/6183.1/6223.1
rs528557 3671095 Synonymous TGCCTCTGCTCCCAGG G/C 4809.1/5056.3/5096.3
rs17548872 3669884 Intronic CTCTCTAGTCCTAACATTTCCTC C/G 6860.5/7107.7/7147.7
rs41492952 3670152 Intronic GGCGTGTCAGCACGGA C/G 6577.3/6824.4/6864.5
rs2280090 3669558 Non-synonymous CACAGCCACTGGACAG G/A 5486.6/5733.8/5813.7
rs3918400 3668816 3’UTR CTTCCCCGAGTGGAGCTT T/C 6414.2/6661.3/6741.3
rs6084435 3682089 5’UTR ACCCGTGCCCGGTGC A/G 5701.7/5972.9/5988.9
rs11905233 3668529 3’UTR CCCTATGGTTCGACTGA T/C 5161.4/5432.6/5448.6
rs3746631 3668493 3’UTR GGCTGGCCTCTGCAA T/C 4569/4840.2/4856.2
rs517155 3668230 3’UTR TGATCCTCCTACCCC G/A 4423.9/4695.1/4711.1

Source: Refs 1516 UTR, untranslated region; SNPs, single nucleotide polymorphisms; UEP, unextended primer

The “PED” format file with case-control values paired to the locus information file was considered for the haplotype analysis using Haploview tool (https://www.broadinstitute.org/haploview/haploview) which identified the association with T-int value. The association test was performed using the case/control possibility. The pairwise comparison of markers >500 kb distance was ignored followed by excluding individuals with >50 per cent missing genotypes. There were no individuals with missing genotype in our study dataset. The haplotype blocks were created with >1.0 per cent linked haplotype, and >10.0 per cent haplotype blocks were highlighted with the thick lines for association identification.

Effect of SNP variation: The possible effect of an amino acid change on the structure and function of a human protein can be predicted by the tool, PolyPhen-2 (Polymorphism Phenotyping V2; http://genetics.bwh.harvard.edu/pph2/). PolyPhen-2 uses eight sequence-based and three structure-based predictive features, which are selected automatically by an iterative greedy algorithm. The majority of these features involve comparison of a property of the wild-type (normal) allele and the corresponding property of the mutant (derived, disease-causing) allele, which together define an amino acid replacement17.

Statistical analysis: SNPs of ADAM33 were related with asthma using Hardy–Weinberg equilibrium, Chi-square test, odds ratio, ANOVA and Student's t test to understand the association of ADAM33 variations with asthma. These association tests between clinical variables and SNPs were tested using SPSS software V.19 (SPSS, Inc., Chicago, USA). Haploview software V.4.0 (Broad Institute, Cambridge, MA, USA) was used to assess the SNP haplotype and disease association.

Results

The demographic characteristics of the population studied are presented in Table II. Genotype to phenotype, minor allele frequency, odds ratio and Hardy–Weinberg equilibrium calculated did not show significant difference among cases and controls (data not shown). Thirty five polymorphisms of ADAM33 and their haplotypes were analysed for their association with asthma in 19 mild, 21 moderate and 15 severe cases. Table III represents the pulmonary function test values for both patients and controls. There was no association with any of the SNPs in mild, moderate or severe asthma as compared to controls. A comparison of the genotype distributions of ADAM33 SNPs among atopic and non-atopic patients showed an insignificant difference. Correlation analysis of ADAM33 SNPs using Chi square statistics to the clinical variables did not show positive correlation with the allergen sensitization, either with the number of allergen sensitization or with the severity of sensitization.

Table II General characteristics of the study population
Variables Controls n=53 Patients n=55
Age (yr)
≤40 35 (66.03) 31 (56.36)
>40 18 (33.96) 24 (43.63)
Gender
Male 22 (41.50) 20 (36.36)
Female 31 (58.49) 35 (63.63)
Family history of asthma
Yes 0 24 (43.63)
No 53 (100) 31 (56.36)
Asthma duration (yr)
<1 - 4 (7.27)
1-5 - 20 (36.36)
>5 - 31 (56.36)
Severity
Mild persistent - 19 (34.54)
Moderate persistent - 21 (38.18)
Severe persistent - 15 (27.27)
Atopic patients - 52 (94.54)
Non-atopic patients - 3 (5.45)

Values in parenthesis are percentages

Table III Pulmonary function test results of controls and patients of the study population
Pulmonary function test parameters Controls (pre-bronchodilator) (n=53) Patients (pre-bronchodilator) (n=55) Patients (post-bronchodilator) (n=55)
FVC (%) 88.44±0.511 70.63±0.82 78.3±0.88
FEV1 (%) 88.84±0.47 69.12±0.89 78.81±0.72
FEV1/FVC (%) 104.23±0.35 99.54±0.62 106.83±0.53
PEF (l/sec) 92.81±0.95 74±1.0 84.56±0.90

Values are mean±SE. FEV1, forced expiratory volume in one second; FVC, forced vital capacity; PEF, peak expiratory flow

Haplotype analysis: Haplotype analysis showed that SNPs rs2280090 and rs2280091 were associated with asthma in the patient group (Table IV). The association of haplotype with asthma was analyzed using Haploview software similar to other studies181920. The haplotype with AA alleles was found to be significant (P=0.037) (Table V). The SNP location was 29 bp apart from each other and the LOD score was 20.48 followed by D --- 1. The r2 value was 0.75 and the distance between these SNPs was 29 bp. The Haploview software uses its own statistical value called T-int, which was found to be 105.54 (Table V and Fig. 1).

Table IV Haplotype analysis of ADAM33 single nucleotide polymorphisms among patients and controls
L1 L2 D’ LOD r2 CI-low CI-hi Dist T-int
rs2787093 rs3746631 0.016 0 0 −0.01 0.28 678 6.91
rs2787093 rs2787094 1 5.28 0.213 0.7 1 699 -
rs2787093 rs677044 0.955 0.28 0.02 0.06 0.97 969 -
rs2787093 rs3918400 1 0.59 0.007 0.09 0.99 1001 -
rs2787093 rs2280090 1 0.76 0.017 0.12 0.99 1743 -
rs2787093 rs2280091 1 0.44 0.012 0.07 0.98 1772 -
rs2787093 rs17548872 1 0.59 0.007 0.09 0.99 2069 -
rs2787093 rs574174 1 1.14 0.022 0.18 0.99 2232 -
rs2787093 rs2853209 0.646 1 0.052 0.15 0.87 3010 -
rs2787093 rs528557 0.733 0.94 0.025 0.16 0.92 3280 -
rs2787093 rs3918396 1 0.4 0.012 0.07 0.98 3303 -
rs2787093 rs511898 0.776 1.26 0.029 0.22 0.94 6623 -
rs2787093 rs3918392 0.5 0.03 0.002 0.04 0.96 6757 -
rs3746631 rs2787094 0.711 2.67 0.13 0.37 0.88 21 21.21
rs3746631 rs677044 0.179 0.25 0.011 0.02 0.46 291 -
rs3746631 rs3918400 0.734 8.66 0.478 0.53 0.86 323 -
rs3746631 rs2280090 1 1.33 0.02 0.22 1 1065 -
rs3746631 rs2280091 1 0.95 0.015 0.14 0.99 1094 -
rs3746631 rs17548872 0.734 8.66 0.478 0.53 0.86 1391 -
rs3746631 rs574174 0.68 3.49 0.165 0.39 0.85 1554 -
rs3746631 rs2853209 0.79 1.44 0.038 0.25 0.94 2332 -
rs3746631 rs528557 0.608 1.26 0.061 0.18 0.83 2602 -
rs3746631 rs3918396 1 0.3 0.014 0.06 0.98 2625 -
rs3746631 rs511898 0.337 0.38 0.018 0.04 0.66 5945 -
rs3746631 rs3918392 0.316 1.69 0.088 0.12 0.52 6079 -
rs2787094 rs677044 0.039 0.03 0.001 −0.01 0.25 270 34.15
rs2787094 rs3918400 0.784 3.01 0.14 0.43 0.92 302 -
rs2787094 rs2280090 1 3.02 0.078 0.53 1 1044 -
rs2787094 rs2280091 1 2.57 0.058 0.47 1 1073 -
rs2787094 rs17548872 0.784 3.01 0.14 0.43 0.92 1370 -
rs2787094 rs574174 0.765 10.76 0.421 0.61 0.87 1533 -
rs2787094 rs2853209 0.393 0.7 0.037 0.07 0.66 2311 -
rs2787094 rs528557 0.433 2.39 0.12 0.21 0.6 2581 -
rs2787094 rs3918396 0.762 5.69 0.23 0.52 0.89 2604 -
rs2787094 rs511898 0.283 0.95 0.049 0.07 0.48 5924 -
rs2787094 rs3918392 0.343 0.54 0.027 0.05 0.64 6058 -
rs677044 rs3918400 0.448 1.3 0.062 0.14 0.69 32 52.37
rs677044 rs2280090 1 0.77 0.057 0.12 0.99 774 -
rs677044 rs2280091 0.192 0.02 0.002 0.03 0.94 803 -
rs677044 rs17548872 0.448 1.3 0.062 0.14 0.69 1100 -
rs677044 rs574174 0.002 0 0 0 0.53 1263 -
rs677044 rs2853209 0.266 0.81 0.031 0.05 0.48 2041 -
rs677044 rs528557 0.094 0.04 0.001 0 0.46 2311 -
rs677044 rs3918396 0.677 0.66 0.019 0.11 0.91 2334 -
rs677044 rs511898 0.176 0.15 0.005 0.01 0.5 5654 -
rs677044 rs3918392 1 8.58 0.307 0.78 1 5788 -
rs3918400 rs2280090 1 0.85 0.018 0.13 0.99 742 75.37
rs3918400 rs2280091 1 0.51 0.013 0.08 0.98 771 -
rs3918400 rs17548872 1 20.74 1 0.9 1 1068 -
rs3918400 rs574174 1 8.18 0.316 0.77 1 1231 -
rs3918400 rs2853209 1 2.33 0.054 0.43 1 2009 -
rs3918400 rs528557 1 3.97 0.145 0.63 1 2279 -
rs3918400 rs3918396 1 0.47 0.013 0.08 0.98 2302 -
rs3918400 rs511898 0.849 2.31 0.101 0.4 0.96 5622 -
rs3918400 rs3918392 0.535 4.79 0.287 0.33 0.7 5756 -
rs2280090 rs2280091 1 20.48 0.75 0.89 1 29 105.54
rs2280090 rs17548872 1 0.85 0.018 0.13 0.99 326 -
rs2280090 rs574174 1 1.27 0.056 0.21 0.99 489 -
rs2280090 rs2853209 0.451 1.61 0.066 0.17 0.66 1267 -
rs2280090 rs528557 0.891 8.2 0.279 0.69 0.97 1537 -
rs2280090 rs3918396 0.564 0.13 0.01 0.05 0.96 1560 -
rs2280090 rs511898 0.777 5.85 0.204 0.54 0.9 4880 -
rs2280090 rs3918392 0.938 0.25 0.016 0.06 0.97 5014 -
rs2280091 rs17548872 1 0.51 0.013 0.08 0.98 297 83.22
rs2280091 rs574174 1 1.16 0.042 0.19 0.99 460 -
rs2280091 rs2853209 0.573 1.71 0.08 0.22 0.78 1238 -
rs2280091 rs528557 0.926 6.35 0.226 0.68 0.98 1508 -
rs2280091 rs3918396 1 0.38 0.023 0.07 0.98 1531 -
rs2280091 rs511898 0.774 4.1 0.152 0.48 0.91 4851 -
rs2280091 rs3918392 0.334 0.03 0.001 0.03 0.95 4985 -
rs17548872 rs574174 1 8.18 0.316 0.77 1 163 66.94
rs17548872 rs2853209 1 2.33 0.054 0.43 1 941 -
rs17548872 rs528557 1 3.97 0.145 0.63 1 1211 -
rs17548872 rs3918396 1 0.47 0.013 0.08 0.98 1234 -
rs17548872 rs511898 0.849 2.31 0.101 0.4 0.96 4554 -
rs17548872 rs3918392 0.535 4.79 0.287 0.33 0.7 4688 -
rs574174 rs2853209 0.803 3.06 0.111 0.45 0.93 778 99.98
rs574174 rs528557 0.958 12.96 0.422 0.81 0.99 1048 -
rs574174 rs3918396 1 15.58 0.55 0.87 1 1071 -
rs574174 rs511898 0.913 10.64 0.368 0.74 0.97 4391 -
rs574174 rs3918392 0.455 1.39 0.065 0.15 0.7 4525 -
rs2853209 rs528557 0.014 0 0 −0.01 0.2 270 80.79
rs2853209 rs3918396 0.59 0.76 0.033 0.11 0.85 293 -
rs2853209 rs511898 0.004 0 0 −0.01 0.18 3613 -
rs2853209 rs3918392 1 2.63 0.054 0.47 1 3747 -
rs528557 rs3918396 1 8.27 0.253 0.8 1 23 80.25
rs528557 rs511898 0.896 28.4 0.771 0.81 0.95 3343 -
rs528557 rs3918392 0.357 0.5 0.018 0.05 0.67 3477 -
rs3918396 rs511898 0.922 6.07 0.207 0.67 0.98 3320 56.9
rs3918396 rs3918392 0.865 0.17 0.01 0.05 0.97 3454 -
rs511898 rs3918392 0.338 0.43 0.016 0.04 0.66 134 5.12

D’, D prime between two loci; LOD, log of likelihood odds ratio; r2, correlation coefficient between two loci; CI-low and CI-hi, 95% confidence interval lower and upper bound on D; Dist, Distance between two loci; T-int, statistic used by HapMap project in Haploview software to measure the completeness of information represented by a set of markers in a region are represented

Table V Details of significantly associated haplotype single nucleotide polymorphisms (SNPs) of ADAM33 among controls and asthma patients
SNPs Block χ2 Case-control frequency Haplotype (P)
rs2280090
rs2280091
GA 2.256 0.791, 0.868 0.829
AG 0.794 0.155, 0.113 0.134
AA 1.927 0.055, 0.019 0.037
D’ - 1, LOD - 20.48, r2-0.75, Distance - 29 bp, T-int - 105.54

D’, D prime between two loci; LOD, log of likelihood odds ratio; r2, correlation coefficient between two loci

Haplotype blocks showing association between asthma and ADAM33 polymorphisms rs2280090 and rs2280091. The two SNPs are 29 bp apart from each other with a LOD score of 20.48.
Fig. 1
Haplotype blocks showing association between asthma and ADAM33 polymorphisms rs2280090 and rs2280091. The two SNPs are 29 bp apart from each other with a LOD score of 20.48.

PolyPhen-2 analysis of significantly associated variations showed the effect 'benign' for both rs2280090 and rs2280091 SNPs individually (Fig. 2).

PolyPhen-2 analysis showing the “Benign” effect prediction individually with (A) a score of 0.081 for the SNP rs2280091 (sensitivity: 0.93 and specificity: 0.85) and, (B) a score of 0.036 for the SNP rs2280090 (sensitivity: 0.94 and specificity: 0.82).
Fig. 2
PolyPhen-2 analysis showing the “Benign” effect prediction individually with (A) a score of 0.081 for the SNP rs2280091 (sensitivity: 0.93 and specificity: 0.85) and, (B) a score of 0.036 for the SNP rs2280090 (sensitivity: 0.94 and specificity: 0.82).

Discussion

Asthma is a heterogeneous, chronic lung disease that is caused by interplay of genes and environment in an individual. ADAM33 is one of the positionally cloned asthma-associated genes found to be associated with many pathological features of asthma, including goblet cell hyperplasia, subepithelial fibrosis, collagen deposition, mucosal gland hyperplasia, smooth muscle hypertrophy, changes in the extracellular matrix and inflammation42122. In the present study the genotype to phenotype, minor allele frequency, and odds ratios did not show significant difference among cases and controls with SNPs. On haplotype analysis, an association of two SNPs rs2280090 and rs2280091 was observed with asthma with a strong linkage disequilibrium value.

Many SNPs associated with asthma have not been found to be reproducible in different ethnic populations such as Puerto Rican and Mexican23. ADAM33 SNPs have been found to be associated with asthma susceptibility in various ethnic populations, though with different frequencies, and are one of the most reproducible variables with odds ratio 1.67 to 4.34 (e.g., US White and US Hispanic, Black Americans, UK, Europeans and Asians)24.

The study on ADAM33 polymorphisms was carried out as continuation of studies in genetic polymorphisms in asthma by the Mysore asthma genetics group22526. No association was found in our study between ADAM33 SNPs and asthma phenotypes such as asthma severity and atopy. Our results were similar to other studies conducted in Australian and German populations127. On the other hand, in a study from north India28 one of the SNPs of ADAM33 was found associated with the mild intermittent subgroup of asthma28.

On haplotype analysis, two polymorphisms, rs2280090 and rs2280091, were observed to be associated with asthma among 35 SNPs, with the T-int value of 105.54. However, Haploview software measures the completeness of information represented by a set of markers in a region and denoted as T-int. The value of T-int >100 is considered as significantly associated as per the Haploview tool. The result supported another study where haplotypes were found to be associated with asthma18; further, these SNPs were associated with an increased predisposition to asthma29, but no such association was found in other studies3031. In another study, rs2853209 SNP was found to be associated with asthma along with T1 (rs2280091) and F+1 SNPs of ADAM3332.

A similar study on Korean asthmatics confirmed that both SNPs and SNP haplotypes were associated with bronchial hyper-responsiveness and asthma33. No haplotype in linkage disequilibrium was consistent in all populations studied. This could be due to differences in each population's linkage disequilibrium34. The minor alleles observed in the two SNPs in the present study (rs2280090 and rs2280091) were in the linkage group with a strong association of 20.48 LOD score. These two SNPs formed the haplotype block and strong LOD value supported the association of this haplotype with asthma.

The two polymorphisms associated with asthma in our study were located on the exonic region of the ADAM33. The rs2280090 is a variation wherein the amino acid proline changes to serine and the other SNP rs2280091 naturally codes for amino acid methionine changing to threonine. Both the SNPs are located on the cytoplasmic domain of the gene, and these variations have a potential to change the intracellular signal of the protein that contributes to increasing fibroblast and proliferation of smooth muscles. These two features are characteristic of airway remodelling in asthma2934.

These variations were found to be benign in their effect individually, with respect to the predictions of PolyPhen-2 predictor tool. The effect of phosphorylation on the amino acids serine and threonine is high, and these amino acid residues mediate numerous signal transduction pathways3536. Since these variations were found to be together in the participants of the study, these might have combined effect on the protein function.

The study was performed as a pilot study with a limited sample number, which remained the main limitation of this study. The inclusion of 35 SNPs allowed us to perform the haplotype analysis. An association of the two SNPs on haplotype analysis was observed linked with each other with strong LOD score, and since both the SNPs are located on the same domain (cytoplasmic domain) of the ADAM33 protein, it is possible that it may hamper the protein function. This suggests that further functional analysis of this domain may help us to better understand the role of ADAM33 in asthma.

In conclusion, an association of two polymorphisms (rs2280090 and rs2280091) was found with asthma on haplotype analysis but not to other asthma phenotypes, such as asthma severity and atopy. Since this was a pilot study, the sample size used for the study was small and further studies with larger sample size would be necessary.

Acknowledgment

Authors acknowledge JSS Hospital and Medical College, University of Mysore, for providing facility to conduct this work and Asthma Allergy Associates, Mysuru and Genetics and Genomics Laboratory, University of Mysore, Mysuru, for support.

Financial support & sponsorship: Authors acknowledge the funding agency, Indian Council of Medical Research (RFC No: NCD-Ad-hoc/3/2011-12), and Council of Scientific and Industrial Research [No.60(0098)/11/EMR-II], New Delhi, for financial support.

Conflicts of Interest: None.

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