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BMC Medical Genetics

Open Access
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Lack of association of TIM3polymorphisms and allergic phenotypes

  • Jian Zhang1,
  • Denise Daley1,
  • Loubna Akhabir1,
  • Dorota Stefanowicz1,
  • Moira Chan-Yeung2,
  • Allan B Becker3,
  • Catherine Laprise4,
  • Peter D Paré1 and
  • Andrew J Sandford1Email author
BMC Medical Genetics200910:62

https://doi.org/10.1186/1471-2350-10-62

Received: 27 February 2009

Accepted: 30 June 2009

Published: 30 June 2009

Abstract

Background

T-cell immunoglobulin mucin-3 (TIM3) is a TH1-specific type 1 membrane protein that regulates TH1 proliferation and the development of immunological tolerance. TIM3 and its genetic variants have been suggested to play a role in regulating allergic diseases. Polymorphisms in the TIM3 promoter region have been reported to be associated with allergic phenotypes in several populations. The aims of this study were to examine whether genetic variation in the promoter region of TIM3 influenced transcription of the gene and risk for allergic phenotypes.

Methods

We performed 5' rapid amplification of cDNA ends and reverse transcription-polymerase chain reaction. We screened for polymorphisms in the promoter region. Deletion analysis was used to localize the promoter region of TIM3. Genotyping was performed by TaqMan assays in three asthma/allergy population samples.

Results

We found two regions with promoter activity in TIM3. One region was from -214 bp to +58 bp and the other from -1.6 kb to -914 bp relative to the transcription start site. None of the single nucleotide polymorphisms (SNPs) or haplotypes affected the transcriptional activity in reporter gene assays. No association between the SNPs and any phenotype was observed in the study cohorts.

Conclusion

Our findings indicate that SNPs and haplotypes in the TIM3 promoter region do not have a functional effect in vitro and are not associated with allergic diseases. These data suggest that polymorphisms in the TIM3 promoter region are unlikely to play an important role in susceptibility to allergic diseases.

Background

Asthma is a chronic inflammatory disease of the airways that is a major cause of morbidity in developed countries and has been increasing in prevalence [1, 2]. Asthma is a common disease caused by interactions between multiple genes of small to modest effect and equally important environmental factors. Asthma susceptibility has been linked to several loci e.g. chromosomes 5, 6, 11, 12 and 14 [3]. Among these linkages, chromosome 5q23-35 has been replicated in several genome-wide studies in different populations [3].

McIntire et al. identified a chromosomal region that regulated TH2 cytokine production as well as airway hyperresponsiveness (AHR) using a congenic mouse model of asthma [4]. This region was distinct from the IL4 cytokine gene cluster and other nearby cytokine genes [4]. The region is homologous to human chromosome 5q33 and contains the TIM (T cell immunoglobulin domain and mucin domain) gene family [4]. There are two genes in this family (TIM1 and TIM3) that are biologically plausible atopy susceptibility genes. TIM1 (also known as the hepatitis A virus cellular receptor, HAVCR1) is expressed preferentially on TH2 cells and TIM3 (HAVCR2) is expressed preferentially on TH1 cells after activation of naive CD4+ T-helper cells. TH1 cells mediate immune responses to intracellular pathogens, delayed-type hypersensitivity reactions, and produce cytokines such as interferon-γ, IL2, tumour-necrosis factor-α and lymphotoxin. TH2 cells mediate immune responses to extracellular pathogens and produce cytokines such as IL4, IL10 and IL13 which promote atopic and allergic diseases [5]. TIM1 promotes TH2 cytokine production and proliferation. In a murine model of asthma, stimulation of TIM1 in the presence of antigen prevented the development of respiratory tolerance and increased pulmonary inflammation [6]. TIM3 inhibits TH1-mediated auto- and alloimmune responses and acts via its ligand, galectin-9, to induce cell death in TH1 but not TH2 cells [79]. Considering their immunological function and chromosomal location both TIM1 and TIM3 are good candidate genes for asthma.

Recent association studies suggested that polymorphisms in the TIM3 promoter region may be associated with asthma-related phenotypes in both Caucasian and Asian population samples [1012]. Other studies have demonstrated associations of TIM1 polymorphisms with asthma and related traits [11, 13, 14]. In the present study, we performed an association study in three asthma/allergy population samples to investigate the role of polymorphisms in the TIM3 promoter region and determined whether these polymorphisms affected TIM3 transcriptional activity.

Methods

Study populations

We used three independent asthma/allergy population samples: the Canadian Asthma Primary Prevention Study (CAPPS) cohort, the Study of Asthma Genes and the Environment (SAGE) birth cohort and the Saguenay-Lac-St-Jean (SLSJ)/Québec City (QC) Familial Collection (Table 1). The study protocols were approved by ethical review boards at all participating institutions. Informed consent was obtained from each individual or his/her guardian.
Table 1

Sample sizes by study, phenotype and ethnic background

 

Cohorts

 

CAPPS

SAGE

SLSJ/QC

Combined

Families

545

723

306

1573

Genotyped

1316

1466

1234

4016

Caucasian Samples (complete trios)

Phenotype

Asthma

51

109

379

539

Atopy

105

145

362

612

AHR

142

96

278

516

Atopic Asthma

37

71

305

413

Non Caucasian Samples a (complete trios)

Asthma

3

28

na

31

Atopy

18

44

na

62

AHR

14

22

na

36

Atopic Asthma

3

20

na

23

Combined Analysis b (complete trios)

Asthma

57

139

379

575

Atopy

135

190

362

687

AHR

170

120

278

568

Atopic Asthma

43

92

305

440

aNon Caucasian samples included individuals of Asian (Chinese, Korean and Japanese) and Canadian First Nations descent.

bCombined Analysis also contains trios with mixed and unknown ethnicity

CAPPS – Canadian Asthma Primary Prevention Study Cohort; SAGE – Study of Asthma Genes and the Environment birth cohort; SLSJ/QC – Saguenay – Lac-St-Jean/Québec City Familial Collection; AHR – airway hyperresponsiveness

The CAPPS cohort was initiated in 1995 and recruited from two Canadian cites, Vancouver and Winnipeg [15, 16]. Infants were recruited who were at high risk for the development of asthma, defined as those who had at least one first-degree relative with asthma or two first-degree relatives with other allergic diseases. In total, there were 545 families recruited into this study (549 infants, 4 sets of twins). At the 7-year time point loss to follow-up was minimal, with 86% of the families completing a questionnaire. Spirometry and methacholine challenge testing were performed at the 7-year time point. The diagnoses of asthma and other atopic disorders were made by a pediatric allergist based on a detailed history and physical examination. Atopy was defined as at least one positive skin prick test. Methacholine challenge testing was carried out according to Cockcroft et al. [17]. The provocative concentration of methacholine that induced a 20% decrease in FEV1 from post-saline value (PC20) was determined. AHR for this cohort and the SAGE cohort was defined as a PC20 of less than 3.2 mg/ml methacholine [18, 19].

SAGE is a population-based sample of 16,320 children, born in the province of Manitoba, Canada in 1995 [20]. In 2002, the families were sent a questionnaire to determine their health and home environment exposure. Children were classified according to the presence of asthma (n = 392), hay fever/food allergy (n = 192) or neither (n = 3002). All the children in the asthma and allergy groups were invited to participate in the study, together with a random sample (n = 200) of children with neither condition. A pediatric allergist assessed the presence of asthma based on a detailed history and physical examination, a methacholine challenge test was administered and skin prick tests for common allergens were performed. In total, 725 families were recruited into the study, including 247 with an asthmatic child and 328 with an atopic child.

The SLSJ/QC Familial Collection is comprised of 306 families from the Saguenay-Lac-Saint-Jean (n = 227) and Québec City (n = 79) regions of Québec, Canada [21, 22]. There is at least one adult asthmatic proband in each family. Asthma was assessed using a respiratory health questionnaire and pulmonary function tests. AHR was defined as a PC20 < 8 mg/ml at the time of recruitment. If PC20 was not measurable, a 15% increase in FEV1 after inhalation of a bronchodilator or a variation in PEF of at least 12% within a 2-week period was also considered diagnostic of AHR. Participants were defined as having asthma if they had a reported history of asthma that was validated by a physician, or they showed asthma-related symptoms and a positive PC20 at the time of recruitment. Subjects were defined as atopic if they had at least one positive response to a skin prick test. Subjects with a PC20 > 8 mg/ml were considered not to have AHR; non-asthmatics were those who had no history of physician-diagnosed asthma, no symptoms of asthma and a PC20 greater than 8 mg/ml; non-atopics were those who had no positive response on skin prick test.

Expression of TIM3in tissues

The Human Multiple Tissue, Human Immune System cDNA Panels and Human Blood Fraction Panel (BD Biosciences/Clontech, Palo Alto, CA, USA) were used to analyze expression of TIM3 in various tissues. The PCR primers for the gene expression study are listed in Table 2. Resting CD14+ (monocytes), CD4+ (T helper/inducer cells), CD8+ (T suppressor/cytotoxic cells) and CD19+ (B lymphocytes) cells were positively selected from mononuclear cells from healthy donors by immunomagnetic separation with Dynabeads M-450 (Dynal, Oslo, Norway). Cells were activated with pokeweed mitogen (Invitrogen, San Diego, CA, USA) and concanavalin A (ICN, Costa Mesa, CA, USA) by standard methods, and the degree of activation of lymphocytes was estimated on the basis of morphological criteria (blast morphology and mitoses) and expression of two activation markers, CD25 (interleukin-2 receptor) and CD71 (transferrin receptor). We used glycerol-3-phosphate dehydrogenase (G3PDH) as an internal control for PCR. Amplification conditions were an initial denaturation step at 94°C for 10 min followed by 34, and 30 cycles of denaturation at 94°C for 30 s, annealing at 60°C for 30 s and extension at 72°C for 30 s for primer pairs amplifying TIM3 and G3PDH, respectively.
Table 2

Sequence of primers used in reverse transcriptase-polymerase chain reaction, 5' Rapid Amplification of cDNA ends (5'RACE) and (RT-PCR) and plasmid constructs

TIM3 RT-PCR primers

Forward

5'-tgctgctgctgctactacttaca-3'

 

Reverse

5'-aggttggccaaagagatgag-3'

5'RACE

First round forward

5'-gctggggtgtagaagcagggcagat-3'

 

First round reverse

5'-ccatcctaatacgactcactatagggc-3'

 

Nested PCR forward

5'-tgtctgtgtctctgctgggccatgt-3'

 

Nested PCR reverse

5'-actcactatagggctcgagcggc-3'

Plasmid constructs primers

Common reverse primer

5'-attatctcgagtggactgggtacttcttccaa

 

Forward primer +63 bp

5'-attatggtacctgactgtagacctggcagtgtt-3'

 

Forward primer -241 bp

5'-attatggtaccggacatgctccatttcaggt-3'

 

Forward primer -452 bp

5'-attatggtacctgaggcttatgctgggagtt-3'

 

Forward primer -914 bp

5'-attatggtaccaaaccactcagcctgtgagc-3'

 

Forward primer -1702 bp

5'-attatggtaccgccttgaccaagttcatgct-3'

 

Forward primer -2220 bp

5'-attatggtaccccagctccctacacacacaa-3'

5' Rapid Amplification of cDNA ends (5'RACE)

We performed 5' RACE experiments using commercially available RACE-ready human leukocyte and spleen cDNAs (Marathon Ready cDNA, BD Biosciences/Clontech) according to the manufacturer's instructions. Primers used for amplification for the first round PCR and for the nested PCR are shown in Table 2. The amplified RACE product was cloned into pCR2.1 TOPO-TA cloning vector (Invitrogen). Plasmids were purified by column chromatography (Invisorb Spin Plasmid Mini Kit, Invitek GmbH, Berlin) and subjected to direct sequencing with M13 primers.

Single nucleotide polymorphism (SNP) screening and genotyping

Approximately 2500 bp of the 5' flanking region upstream of the transcription initiation site of TIM3 was amplified by PCR from genomic DNA of 19 unrelated healthy Caucasians. Subsequently, the products were subjected to direct sequencing with a Big-Dye Terminator Kit (Applied Biosystems, Foster City, CA, USA). Genotyping of the two tag SNPs was done by TaqMan Assay-on-Demand™ SNP typing (Applied Biosystems).

Plasmid construction, transfection and luciferase assay

Genomic fragments of the 5' flanking region of exon 1 of TIM3 were amplified. PCR products were digested with XhoI and KpnI overnight at 37°C and then subcloned into the pGL3-Basic vector (Promega, Madison, WI, USA) digested with XhoI and KpnI. The clones were sequenced to confirm that the inserts were correct. The YT human T/NK cell line provided by Dr. Zacharie Brahmi as a gift was resuspended in RPMI 1640 (Sigma-Aldrich Co, St. Louis, MO, USA) with 20% FBS. Approximately 1 × 107 YT cells were cotransfected with 30 μg of test construct and 150 ng of pPL-TK (Promega) by electroporation with a Gene Pulsar II (Bio-Rad, Hercules, CA) set at 300 V and 975 μF. Transfected cells were harvested 24 h after transfection. Cells were lysed by the addition of 200 μl of lysis buffer (Promega). Twenty μl of each lysate was used for luciferase assay with the Dual-Luciferase Reporter Assay System (Promega). The firefly luciferase values were normalized to the Renilla luciferase values of pRL-TK, which were determined at the same time. The signal was read using a POLARstar OPTIMA (BMG, Alexandria, VA, USA) fluorimeter. Reporter activity is presented as the mean of at least five independent measurements.

Statistical analysis

Differences in transcriptional activity in the reporter gene assays were analyzed by ANOVA and unpaired t-tests. We tested for association with asthma, atopy, atopic asthma and airway hyper- responsiveness phenotypes using the Family based Association Test (FBAT) software [23].

Results

Tissue expression of TIM3

Expression of TIM3 was analyzed by PCR-based methods (Figure 1). TIM3 was strongly expressed in placenta, lung, kidney, spleen, and leukocytes. In the Human Blood Fraction Panel TIM3 was more highly expressed in active CD4+ cells than resting CD4+ cells. However it was more highly expressed in resting CD8+ cells than in active CD8+ cells. TIM3 was also strongly expressed in resting CD14+ cells. No splicing variants were found.
Figure 1

Expression of TIM3 in multiple human tissues. Results of PCR amplification of cDNA from different organs (A), the immune system (B), and blood fractions (C) are shown. G3PDH was included as an internal control. MC, mononuclear cells; R, resting; A, activated; NC, non-template control.

Isolation of 5' full-length TIM3 transcripts and structure of the human TIM3gene

Current information at the time of the experiment (January 2007) in the NCBI database http://www.ncbi.nlm.nih.gov indicated that TIM3 was composed of seven exons and the translational start site was contained within exon 1. TIM3 was highly expressed in leukocytes and spleen and therefore 5' RACE experiments were performed with cDNAs derived from these cell types. We were able to identify an additional 25 bp of sequence on the 5' side of the known cDNA sequence (Figure 2). No additional novel exons were detected.
Figure 2

Genomic structure of the human TIM3 gene. The open boxes represent the positions of exons 1–7. The shaded box is the region we extended in our 5'RACE experiment. TIM3 contains seven exons and the coding sequence (CDS) starts in exon 1. The downward arrows indicate the SNPs in the promoter region. The four red arrows indicate SNPs that are in perfect LD.

Polymorphism screen

We screened for polymorphisms in the TIM3 promoter region using DNA from 19 unrelated normal subjects and found six polymorphisms -574 G/T (rs10515746), -882 C/T (rs4704853), -1516 G/T (rs10053538), -1571delC, -1766G/T (rs10061463) and -1922 G/A (rs12186731) in TIM3 (Figure 2). Among the six polymorphisms four (-574 G/T, -882 C/T, -1571delC and -1766G/T) were in perfect linkage disequilibrium (r2 = 1). There were only three haplotypes formed by the six polymorphisms.

Transcriptional activity of the 5' flanking region of TIM3

To examine the transcriptional activity in the 5' flanking region of TIM3, we constructed plasmids that contained sequences from -2220, -1702, -914, -452, -241 and +63 relative to the transcription initiation site. The primers used for plasmid construction are listed in Table 2. The expression of TIM3 in YT cells was confirmed by RT-PCR (data not shown). The constructs were then transiently transfected into YT cells. Deletion analysis revealed that promoter activity of TIM3 in YT cells required at least 241 bp of upstream sequence and the maximal reporter gene expression was observed with the -1702 bp construct (Figure 3). There were five polymorphisms, -574 G/T, -882 C/T, -1516 G/T, -1571delC and -1766G/T in this region. To determine whether the five polymorphisms and their haplotypes were functional, we generated luciferase reporter gene constructs that contained the 5' flanking region of TIM3 from exon 1 to -1702 bp with three different haplotypes, i.e., haplotype GCGCG, haplotype GCTCG and haplotype TTG-T. The results showed there was no difference in expression level between each haplotype (Figure 3).
Figure 3

Promoter activity assay of the human TIM3 gene promoter constructs. (A) Luciferase activity is presented relative to the PGL3 basic vector after each construct was transfected into YT cells. All values are the mean ± SD of at least five independent experiments. (B) Comparison of the promoter activity and the conserved regions in the human genome. (C) Comparison of the promoter activity between the haplotypes.

FBAT analysis

To determine whether the previously reported TIM3 associations [1012] were present in the CAPPS, SAGE and SLSJ/QC populations, we chose -882 C/T and -1922 G/A as tag SNPs. However -1922 G/A was in a region of repetitive sequence. Therefore, rs13170556, which was in perfect linkage disequilibrium (LD) with -1922 G/A, was genotyped in our samples. Both polymorphisms (rs13170556 and rs10061463) were in Hardy-Weinberg equilibrium (p > 0.1) in all cohorts. We performed FBAT analysis to test for association with asthma, atopy, atopic asthma and AHR. The results were corrected by the number of SNPs tested within TIM3 (n = 2) and the effective number of independent phenotypes (n = 3). We found that rs13170556 was associated with asthma in the CAPPS cohort in both the Caucasians only analysis and in the combined analysis of the Caucasian families with the non Caucasian families (p = 0.0138 and 0.0085, respectively) (Table 3). However, after correction for multiple testing we found no evidence for association in any of the three cohorts individually or in joint analysis of all the cohorts (Table 3). Similarly, there was no association found for -882C/T with any phenotype in any of the analyses (Table 4).
Table 3

Allele frequencies of the rs13170556 polymorphism in the three study cohorts for each phenotype

Cohort

Phenotype

Caucasian only

Combined analysisa

  

Frequency

OR

p

cpc

Frequency

OR

p

cpc

CAPPS

Asthma

0.13

0.31

0.0138

0.0822

0.13

0.29

0.0085

0.0508

 

Atopy

 

0.73

0.3294

1.0000

 

0.62

0.1070

0.6359

 

AHR

 

0.90

0.7455

1.0000

 

0.86

0.6393

1.0000

 

Atopic Asthma

 

0.40

0.1031

0.6127

 

0.36

0.0653

0.3882

SAGE

Asthma

0.18

1.60

0.1477

0.8707

0.17

1.30

0.3757

1.0000

 

Atopy

 

1.11

0.6961

1.0000

 

1.06

0.8084

1.0000

 

AHR

 

1.33

0.3972

1.0000

 

1.15

0.6472

1.0000

 

Atopic Asthma

 

1.80

0.1279

0.7540

 

1.43

0.3022

1.0000

SLSJ/QC

Asthma

0.15

0.95

0.7456

1.0000

0.15

0.95

0.7456

1.0000

 

Atopy

 

0.86

0.3669

1.0000

 

0.86

0.3669

1.0000

 

AHR

 

0.71

0.0749

0.4350

 

0.71

0.0749

0.4350

 

Atopic Asthma

 

0.88

0.4758

1.0000

 

0.88

0.4758

1.0000

Combined analysisb

Asthma

0.15

0.94

0.6802

1.0000

0.15

0.91

0.5001

1.0000

 

Atopy

 

0.89

0.3718

1.0000

 

0.86

0.2179

1.0000

 

AHR

 

0.84

0.2402

1.0000

 

0.83

0.1775

1.0000

 

Atopic Asthma

 

0.93

0.6434

1.0000

 

0.90

0.4961

1.0000

aCombined analysis of the Caucasian families with the non Caucasian families

bCombined analysis of the three cohorts (CAPPS, SAGE and SLSJ/QC)

ccorrected p value

CAPPS – Canadian Asthma Primary Prevention Study Cohort; SAGE – Study of Asthma Genes and the Environment birth cohort; SLSJ/QC – Saguenay – Lac-St-Jean (SLSJ)/Québec City (QC) Familial Collection; AHR – airway hyperresponsiveness

Table 4

Allele frequencies of the rs10061463 polymorphism in the three study cohorts for each phenotype

Cohort

Phenotype

Caucasian only

Combined analysisa

  

Frequency

OR

p

cpc

Frequency

OR

p

cpc

CAPPS

Asthma

0.18

0.85

0.6829

1.0000

0.16

1.00

1.0000

1.0000

 

Atopy

 

0.78

0.3859

1.0000

 

0.80

0.4137

1.0000

 

AHR

 

0.87

0.5528

1.0000

 

0.86

0.4967

1.0000

 

Atopic Asthma

 

0.55

0.2218

1.0000

 

0.73

0.4904

1.0000

SAGE

Asthma

0.17

1.10

0.7576

1.0000

0.15

1.13

0.6743

1.0000

 

Atopy

 

1.18

0.5635

1.0000

 

1.14

0.6113

1.0000

 

AHR

 

1.25

0.5045

1.0000

 

1.10

0.7576

1.0000

 

Atopic Asthma

 

1.36

0.4319

1.0000

 

1.33

0.3972

1.0000

SLSJ/QC

Asthma

0.25

0.97

0.7902

1.0000

0.25

0.97

0.7902

1.0000

 

Atopy

 

1.03

0.8263

1.0000

 

1.03

0.8263

1.0000

 

AHR

 

1.12

0.4232

1.0000

 

1.12

0.4232

1.0000

 

Atopic Asthma

 

1.00

1.0000

1.0000

 

1.00

1.0000

1.0000

Combined analysisb

Asthma

0.20

0.97

0.8149

1.0000

0.18

0.99

0.9542

1.0000

 

Atopy

 

1.01

0.9526

1.0000

 

1.01

0.9542

1.0000

 

AHR

 

1.07

0.5610

1.0000

 

1.05

0.6904

1.0000

 

Atopic Asthma

 

0.99

0.9454

1.0000

 

1.02

0.8937

1.0000

aCombined analysis of the Caucasian families with the non Caucasian families

bCombined analysis of the three cohorts (CAPPS, SAGE and SLSJ/QC)

ccorrected p value

CAPPS – Canadian Asthma Primary Prevention Study Cohort; SAGE – Study of Asthma Genes and the Environment birth cohort; SLSJ/QC – Saguenay – Lac-St-Jean (SLSJ)/Québec City (QC) Familial Collection; AHR – airway hyperresponsiveness

Discussion

In the present study, we determined the expression pattern of TIM3 in human cells. We investigated the genomic structure and transcriptional activity of TIM3 and investigated polymorphisms in the promoter region of TIM3 in multiple cohorts. We isolated the full-length genomic region of TIM3 and characterized its promoter region. We found six polymorphisms in TIM3, but none was associated with asthma or the transcriptional activity of the gene in vitro.

TIM3 was initially cloned as a TH1-specific cell-surface marker. In our results, TIM3 was expressed on activated CD4+ cells as well as resting CD8+ cells and CD14+ cells, consistent with previous reports. In the mouse, TIM3 was expressed in both CD4+ and CD8+ cells [24, 25] and in human peripheral blood mononuclear cells TIM3 was expressed at a higher level on CD14+ cells and CD8+ cells than on CD4+ cells [26]. TIM3 was also reported to be expressed in NK and NTK (NK-like T) cells [26, 27]. In our results, TIM3 was expressed at a higher level in activated CD4+ cells than in resting CD4+ cells but conversely expression was higher in resting CD8+ than in activated CD8+ cells. Our results demonstrate that the expression level of TIM3 is not only differentially regulated in subsets of T cells but is also determined by the activation state of the cell.

TIM3 is expressed in human NK cells both at the mRNA and protein levels [26, 27]. We found that TIM3 was also expressed in one type of NK cell line, the YT cell line, which was used in the reporter gene assays. We identified TIM3 promoter activity in the -241 bp and -1702 kb regions relative to the transcription initiation site. Conserved non-coding sequences may contain transcriptional regulatory elements participating in the temporal and tissue-specific expression patterns of genes [28, 29]. In the UCSC website http://genome.ucsc.edu/ there are three conserved regions in the TIM3 promoter (Figure 3B) and the first conserved region contributes to the -241 bp promoter region and the last two regions contribute to the -1702 bp promoter region. There are five SNPs in the -1.7 kb region and the -1516 G/T, -1571delC and -1766G/T SNPs flank the conserved sequence. However, the haplotype formed by these SNPs did not affect the promoter activity (Figure 3C). We also stimulated the YT cell line with IL-2 at different concentrations but we found no difference in promoter activity among the different haplotypes after the stimulation (data not shown).

There are discrepant reports concerning the association between TIM3 polymorphisms and allergic phenotypes [1014]. Graves et al. [11] studied a mixed Caucasian/Hispanic population. The two TIM3 SNPs that showed association with eczema and atopy were rs1036199 and rs4704853. However, in our sample these two SNPs were in perfect LD and rs4704853 was not associated with any phenotype. This discrepancy may be due to the different ethnic group studied in the previous report [11]. Two other studies reported associations in Asian samples [10, 12]. The -574G > T (rs10515746) polymorphism was associated with asthma and rhinitis in a Korean population although the -574T allele was found in less than 2% of the patients [10]. Therefore, our study may not have been adequately powered if this association is limited to the Asian population.

In Caucasian and African-American populations no association of TIM3 polymorphisms was seen with asthma or related phenotypes [13, 14]. The three cohorts used in this study were family-based and there were more than 1000 individuals in each cohort. There were non-Caucasian samples in both SAGE and CAPPS but we analyzed the data separately to avoid possible loss of power due to genetic heterogeneity. Correction for multiple comparisons was performed to avoid false positive results. Although a nominal association of rs13170556 was found in the CAPPS cohort it was not significant after correction for multiple comparisons. Moreover, the association was not replicated in the other two cohorts and in the combined analysis of all three cohorts. Therefore, the association was likely a statistical artifact rather than a true positive result.

We did not analyze other phenotypes such as total or specific serum IgE in this study. We did not analyze haplotypes in the patient cohorts as we believe that this would have been inappropriate since we used tag SNPs from HapMap and it has been suggested that in this scenario there is little benefit of exhaustive haplotype testing [30]. In addition, we used the most powerful approach given our study design, there is high LD in the region, the marker coverage was not dense and our single SNP main effects were negative. All these factors made it unlikely that we would have benefited from haplotype tests.

The power to detect an association in this study varied with the phenotype, allele frequency and cohort considered. Power was calculated using the TDT Power Calculator [31]. For a major allele 'A' and minor allele 'a', we assumed the penetrance of the three genotypes was AA = 0.1, Aa = 0.2 and aa = 0.5. For an allele frequency of 0.13 and the phenotype of allergic asthma in the CAPPS cohort (i.e. 37 trios) the power to detect an association was only 0.41. However, for a sample size of 96 trios (e.g. AHR in the SAGE cohort) the power was 0.80 and was >0.80 for all other phenotypes in all cohorts in the Caucasians.

Conclusion

Our findings indicate that SNPs and haplotypes in the TIM3 promoter region do not have a functional effect in vitro and are not associated with allergic diseases. These data suggest that polymorphisms in the TIM3 promoter region are unlikely to play an important role in susceptibility to allergic diseases.

Declarations

Acknowledgements

This study was supported by grants from the Canadian Institutes of Health Research and the AllerGen NCE. JZ was supported by a Canadian Lung Association Fellowship Award. AS was supported by a Tier 2 Canada Research Chair and a Michael Smith Foundation for Health Research Senior Scholar Award.

Authors’ Affiliations

(1)
James Hogg iCAPTURE Center for Cardiovascular and Pulmonary Research, St. Paul's Hospital
(2)
Respiratory Division, Department of Medicine, the University of Hong Kong
(3)
The Section of Allergy and Clinical Immunology, Department of Pediatrics, University of Manitoba
(4)
Université du Québec à Chicoutimi

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  32. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/10/62/prepub

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© Zhang et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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