Article Text


Lack of association of group specific component haplotypes with lung function in smokers
  1. I Kasuga1,
  2. P D Paré1,
  3. J Ruan1,
  4. J E Connett2,
  5. N R Anthonisen3,
  6. A J Sandford1
  1. 1University of British Columbia McDonald Research Laboratories/iCAPTURE Center, St Paul’s Hospital, Vancouver, BC, Canada
  2. 2Division of Biostatistics, School of Public Health, University of Minnesota, MN, USA
  3. 3Faculty of Medicine, University of Manitoba, Winnipeg, MB, Canada
  1. Correspondence to:
    Dr A J Sandford, McDonald Research Laboratories, St Paul’s Hospital, 1081 Burrard Street, Vancouver, BC, Canada V6Z 1Y6;


Background: Airway inflammation may affect the decrease in lung function that occurs in response to cigarette smoke, and is an important pathological feature in chronic obstructive pulmonary disease (COPD). Group specific component (GC) can act as an inflammatory mediator and may therefore have important influences on the inflammatory reaction in the airway. Several reports have described associations between GC haplotypes and COPD but these remain controversial. In addition, most of these studies were based on a small number of subjects.

Methods: We have studied the contribution of GC haplotypes to the level of lung function in a large cohort of smokers with high or low lung function (mean FEV1 % predicted 91.8 and 62.6, respectively). The frequency of the three major GC haplotypes (1S, 1F and 2) was investigated in 537 individuals with high lung function and 533 with low lung function.

Results: No significant difference was found in the frequency of any GC haplotype between the high and low lung function groups. There was also no significant difference between the groups in genotype frequency of the two single nucleotide polymorphisms that underlie the haplotypes.

Conclusion: The GC haplotype does not contribute to reduced lung function in this cohort of smokers.

  • chronic obstructive pulmonary disease
  • lung function
  • smoking
  • group specific component (vitamin D binding protein)
  • haplotype
  • polymorphism

Statistics from

Chronic obstructive pulmonary disease (COPD) is characterised by irreversible airflow limitation, increased pulmonary resistance, and hyperinflation of the lung. It is well known that cigarette smoking is the major risk factor for the development of this disease. However, there is considerable variability in the degree of airflow obstruction induced by cigarette smoking,1 and only 10–15% of chronic smokers develop COPD.2 These observations indicate that additional risk factors, possibly genetic, contribute to the development of COPD.3,4

Several genes involved in the pathogenesis of COPD have been identified to date, including inflammatory mediator genes.5,6 One of the candidate genes which may also be an inflammatory mediator is group specific component (GC) (also known as vitamin D binding protein). GC is a 55 kDa protein secreted by the liver which is able to bind extracellular actin and endotoxin as well as vitamin D. Besides these functions, GC enhances the neutrophil chemotactic activity of complement component 5a (C5a) peptide and C5a des-Arg produced during the activation of the complement cascade by one to two orders of magnitude.7 It also enhances the human monocyte response to C5 derived peptides.8 Complement derived peptides are present in the lung under inflammatory conditions9,10 and GC levels have been shown to be increased in bronchoalveolar lavage fluid from smokers compared with non-smokers.11 In addition, GC can be converted into a macrophage activating factor (MAF).12 GC may therefore have important influences on the intensity of the inflammatory reaction in the lung.

The GC gene exhibits a number of haplotypes which can be detected by isoelectric focusing.13 Of these, the three major haplotypes are GC-1fast (1F), GC-1slow (1S), and GC-2 (2),13 due to two point mutations in exon 11 of the coding region. Both mutations cause an amino acid substitution. The relationship between GC haplotypes and COPD has been investigated in several white and Japanese populations. A positive association has been reported between the 1F haplotype and COPD,14,15 while the 2 haplotype was found to have a protective effect against COPD.14,16,17 However, other researchers have not found any association.18 The relationship between the GC haplotype and COPD is therefore not resolved. Moreover, these studies were based on small numbers of subjects.

Lung function, as measured by forced expiratory volume in 1 second (FEV1), normally increases to a maximal value at adulthood, remains stable for 10–15 years, and then declines.19 COPD is often assumed to have developed because the patient has experienced an accelerated rate of decline of lung function. However, COPD may also develop even if there is a normal rate of decline, if the patient failed to attain maximal lung function during development, or experienced an early onset of decline. Genetic factors may affect only one of these three mechanisms but few studies have examined these mechanisms specifically.

The Lung Health Study was designed to investigate the impact of early intervention on the course of cigarette induced COPD. We recently investigated GC haplotypes in the participants in the Lung Health Study but found no contribution of any haplotype to the rate of decline in lung function.20 Since previous studies have shown associations of GC haplotypes with COPD, the reason for these associations may be related to mechanisms such as reduced maximal lung function or an earlier onset of decline rather than an accelerated rate of decline. If so, this may be reflected by lower lung function at the start of the Lung Health Study. The aim of this study was therefore to investigate the contribution of GC haplotypes to the level of lung function in smokers using the largest number of individuals yet studied. We hoped that this would provide definitive evidence as to the role of GC haplotypes in the pathogenesis of COPD.



Subjects were selected from the participants in the National Heart, Lung and Blood Institute (NHLBI) Lung Health Study. The design of this multicentre randomised clinical trial has been described more extensively elsewhere.21

A total of 5887 male and female smokers aged 35–60 years with spirometric signs of early COPD were recruited. From this cohort we had previously selected the 303 individuals with the highest rate of decline in lung function and the 325 with the slowest rate of decline in lung function. Of those who remained, we selected for the present study the 500 individuals who had the highest post-bronchodilator level of lung function at the start of the Lung Health Study and an equivalent number of individuals who had the lowest level of lung function. The range of FEV1 % predicted in the high lung function group was 88.9–99.6 and in the low lung function group was 47.1–67.0. Since 140 individuals from our previous study had lung function in one of these ranges, they were included in the present study. In total, 1140 DNA samples were selected and, of those, 1115 samples were successfully amplified. Of this group, 1070 were white and 45 were from other ethnic groups. Because of the potential for type I error, we studied the white patients only. Other ethnic groups were of insufficient sample size and were excluded from the study. Of the white patients, the high lung function group contained 537 individuals and the low lung function group contained 533. Exclusion criteria included serious illness such as cancer, heart disease, or other important conditions that required medical treatment.


The subjects were genotyped for the three GC haplotypes by polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) assays. All analyses were performed blind with respect to subject characteristics. Haplotypes were confirmed by a second person not directly involved in the current study. A negative control without template DNA was included with each set of PCR-RFLP assays. The primers were designed from the published GC gene sequence.22 The sense oligonucleotide primer (5′-TATGATCTCGAAGAGGCATG-3′) was designed from intron 10 and the antisense primer (5′-AATCACAGTAAAGAGGAGGT-3′) was designed from exon 11; the PCR product contained both single nucleotide polymorphisms (SNPs). The primers produced an amplified product of 328 base pairs (bp). PCR was carried out in a 20 μl volume reaction mixture containing 200 ng genomic DNA, 0.75 units Taq DNA polymerase (Gibco BRL, Grand Island, NY), 2.5 mM MgCl2, 0.5 μM of each primer, and 200 μM each of deoxyguanosine triphosphate (dGTP), deoxycytidine triphosphate (dCTP), deoxythymidine triphosphate (dTTP), and deoxyadenosine triphosphate (dATP). Amplification conditions were as follows: an initial denaturation step at 94°C for 2 minutes, 40 cycles of 94°C (denaturation) for 30 seconds, 57°C (annealing) for 30 seconds, 72°C (elongation) for 45 seconds, followed by one cycle of elongation at 72°C for 5 minutes. Restriction enzyme digestions were accomplished by separately incubating the equally divided PCR product at 37°C for at least 2 hours with 10 units of either Hae III or Sty I restriction enzymes (New England Biolabs, Missisauga, Ontario). Hae III enzyme produced cut bands of 235 and 93 bp if the 1S allele was present. Sty I enzyme cut the two allele producing bands of 242 and 86 bp. The 1F variant remained as an uncut 328 bp band in both enzyme digestions. Digested PCR products were loaded onto 2% agarose gels stained with ethidium bromide and visualised in ultraviolet illumination.

Statistical analysis

The results are presented as haplotype and allele frequencies for both high and low lung function groups. The differences in haplotype and allele frequency between the two groups were assessed by χ2 tests. The associations were also analysed by logistic regression to adjust for potential confounding factors—age, sex, smoking history (pack years), and rate of decline in lung function (percentage predicted FEV1). All tests were performed using the JMP Statistics software package (SAS Institute Inc). p values of <0.05 were considered to be statistically significant. All values are expressed as mean (SE).


The characteristics of the 1070 white subjects are shown in table 1. The mean level of FEV1 % predicted was 91.8 (0.1) in the high lung function group and 62.6 (0.1) in the low lung function group. There were significant differences in age, smoking history, and rate of decline in lung function between the two groups so the final results were adjusted by logistic regression. The frequencies of the three GC haplotypes are shown in table 2. These haplotype frequencies are similar to the distributions reported from large population studies.23 However, there was no difference in haplotype frequency between the high and low lung function groups. The frequencies of the six haplotype combinations are presented in table 3. There were no significant differences in haplotype combinations between the two groups (p=0.24).

Table 1

Characteristics of the high and low lung function groups

Table 2

GC haplotype frequencies

Table 3

Haplotype frequency in the high and low lung function groups

We also specifically analysed the contribution of 1F and 2 haplotypes. Previous studies have shown that the 1F haplotype confers susceptibility to COPD whereas the 2 haplotype confers protection from COPD.14–17 In each phenotypic group 1F carriers were compared with 1F non-carriers and 2 haplotype carriers were compared with 2 non-carriers, but we found no significant differences between the two groups for either the 1F or 2 haplotype carriers (data not shown).

These haplotypes are constructed by the combination of two SNPs. We therefore also investigated each SNP separately to analyse the contribution of each to the level of lung function. No significant differences in genotype frequency were found between each group in either polymorphic site (data not shown). The overall observed distribution of homozygotes and heterozygotes for both polymorphisms did not differ from that predicted by the Hardy-Weinberg equilibrium.


Several studies have investigated the contribution of GC haplotypes to the pathogenesis of COPD in white populations. The first report was published in 1977 by Kueppers and coworkers16 and showed that GC 2–2 homozygotes were less frequent in patients with COPD (n=114) than in controls (relative risk (RR) 0.2). In 1983 Kauffmann and coworkers18 also investigated the contribution of GC haplotypes by comparing individuals with low FEV1 values who had never smoked (n=43) and individuals with high FEV1 values who were heavy smokers (n=45). They found no significant differences between these two groups for any haplotype. In 1990 Horne and coworkers14 found that homozygosity for the GC 2 haplotype and the presence of at least one GC 2 haplotype decreased the relative risk of developing COPD (RR 0.8 and 0.7, respectively). They also found that homozygous 1F–1F individuals are at increased risk of developing COPD (RR 4.8). Most recently, Ishii et al15 showed that the 1F–1F genotype was associated with COPD in a Japanese population.

Although several reports have shown an association between GC haplotypes and COPD, the biological mechanism for these associations has not been sufficiently investigated. We showed that homozygosity for the GC 2 allele was protective against COPD, and also examined whether the association of GC haplotype with COPD could be caused by the effect of GC on neutrophil chemotaxis.17 However, we did not find any significant differences in chemotactic rates among the three GC isoforms. This result suggested that an alternative explanation must underlie our result. Besides increasing neutrophil chemotaxis, GC increases the activation of macrophages at sites of inflammation.12 Conversion of GC to a MAF is accomplished by the removal of specific glycosylated moieties from the protein. The moieties are cleaved by glycosidases present on both B and T cells. Interestingly, the glycoside side chain structure varies among isoforms. Both the 1S and 1F isoforms contain identical side chain structures, while the GC 2 isoform has alternate sugar moieties. The GC 2 protein is found in two different forms. The less prevalent form (10%) displays a shorter side chain that needs only to be modified by T cells to become a MAF.12 The remaining 90% of the GC 2 protein molecules undergo no glycosylation and are incapable of being converted to a MAF,12 consistent with a protective effect of this isoform.

The purpose of our current work was to determine the contribution of GC haplotypes to reduced maximal lung function or earlier onset of decline in lung function. We reasoned that these would be evident as a low level of lung function at the start of the Lung Health Study. This would not necessarily be associated with a fast rate of decline, thus explaining the lack of association in our previous study of participants in the Lung Health Study.20 The rate of decline in lung function and the level of lung function at a particular time point are obviously related variables. We therefore used logistic regression to adjust our results for the potentially confounding effects of rate of decline in lung function. In this study we were able to detect variation in the level of lung function that was not due to rate of decline and was presumably therefore due to either reduced maximal lung function or an earlier onset of decline. Our current study did not find any contribution of GC haplotype to level of lung function and, thus, could not support the previous positive findings. However, we believe that our current study provides meaningful information for future studies because of the high power of the study design. We estimated that, with our sample size (n=1070), considering individuals with either one or two copies of a haplotype, we could detect an association with an RR of ⩾1.27 for the 1F susceptibility haplotype or ⩽0.83 for the 2 protective haplotype, with α=0.05 and β=0.80 (table 4).

Table 4

Power calculations for a sample size of n=533 cases and 537 controls with α=0.05 and β=0.80 for a two sided test

The reason for the lack of replication of previous associations with GC haplotypes may relate to the different means of identification. The other studies used COPD patients and unaffected controls and therefore may have involved more individuals from the extremes of the susceptibility spectrum. This could have the effect of highlighting any genetic component to COPD susceptibility.

In summary, we found no significant differences in GC haplotype or genotype frequencies between high and low lung function groups. We conclude that the early onset of decline in lung function or reduced maximal lung function were not affected by GC haplotype in this cohort of individuals.


The Lung Health Study was supported by contract N01-HR-46002 from the Division of Lung Diseases of the National Heart, Lung, and Blood Institute (NHLBI). The authors gratefully acknowledge the NHLBI for the recruitment and characterisation of this cohort. This study was supported by a grant from Canadian Institutes of Health Research.


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