Literature DB >> 17534354

Lack of support for an association between CLEC4M homozygosity and protection against SARS coronavirus infection.

Nelson Leung-Sang Tang, Paul Kay-Sheung Chan, David Shu-Cheong Hui, Ka-Fai To, Weimin Zhang, Francis K L Chan, Joseph Jao-Yiu Sung, Yuk Ming Dennis Lo.   

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Year:  2007        PMID: 17534354      PMCID: PMC7097035          DOI: 10.1038/ng0607-691

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


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To the Editor: Chan et al.[1] reported that individuals homozygous for a tandem repeat polymorphism (VNTR) in exon 4 of CLEC4M were protected against SARS coronavirus infection (odds ratio of 0.7), whereas heterozygotes were more susceptible to infection. This repeat region encodes the extracellular neck domain of the L-SIGN ('liver/lymph node-specific ICAM-3 grabbing nonintegrin') molecule, which is responsible for oligomerization into a functional tetramer. Functional studies by Chan et al. suggested that the protective effect was due to formation of a homotetramer of L-SIGN, with apparently higher affinity for viral ligands, in homozygous subjects. However, the authors also indicated that a similar protective effect was observed in cells that expressed L-SIGN with only two repeats (see Supplementary Fig. 6 in Chan et al.). This finding is not consistent with the hypothesis that formation of homotetrameric L-SIGN accounts for protection against trans infection, because L-SIGN with two repeats cannot form stable tetramers[2,3], and monomeric receptors show much lower affinity and avidity for viral ligands[3]. Furthermore, the presence of a variety of alternatively spliced CLEC4M mRNAs, including isoforms with partial deletion in the neck region, suggests that the correlation between genotype and function may not be a simple one[4]. As about half of the Chinese population consists of heterozygotes, the results of Chan et al., if confirmed, bear important public health implications for SARS susceptibility. We tried to replicate these findings with another collection of 177 individuals with SARS. All affected individuals had a laboratory-confirmed diagnosis of SARS infection by either PCR tests for SARS coronavirus or serology. We studied three independent control samples of Hong Kong Chinese: (i) anonymous archival cord blood samples (n = 463), to determine population genotype frequencies; (ii) healthy elderly individuals aged >70 years (n = 163), to determine if age had any effect on genotype frequencies and (iii) a further sample collected from local university students (n = 248). A fourth population sample collected in Beijing (in northern China) was used to determine if there was any subpopulation structure (that is, variation of allele frequencies across different parts of China) for this polymorphism. We purified genomic DNA from whole-blood samples and performed PCR to genotype the VNTR in exon 4 of CLEC4M using the same protocol as described previously[1]. We confirmed genotype calls by duplicated assays. Genotype frequencies and homozygote proportions are shown in Table 1. The genotype distributions and homozygote proportions of the three groups of controls were not different from those of individuals with SARS (P = 0.72). Genotype frequencies of all samples, except the group of university students (P = 0.028), were in Hardy-Weinberg equilibrium (by a Markov chain method in GENEPOP). Furthermore, we compared the genotypes among individuals with SARS with different prognoses. If L-SIGN homozygosity is a protective factor against infection, it may also be associated with better prognosis after acquiring the infection. Therefore, we also examined whether homozygotes had a better prognosis by classifying individuals with SARS who had an uneventful recovery versus those who had severe disease and were admitted to the intensive care unit for mechanical ventilation support (an approach similar to that reported previously[5]). However, we did not detect any significant association (P = 0.9, Supplementary Table 1 online).
Table 1

Genotype distributions and homozygote proportions of CLEC4M neck region tandem repeat polymorphism in individuals with SARS and controls

CLEC4M tandem repeat genotypesArchival cord blood samplesHealthy elderly controlsUniversity studentsIndividuals with SARSBeijing controlsa
5/5173.7%10.6%31.2%42.3%52.5%
5/9204.3%31.8%31.2%84.5%84.0%
6/581.7%10.6%52.0%63.4%10.5%
6/951.1%42.5%62.4%42.3%10.5%
7/410.2%00.0%00.0%00.0%00.0%
7/59420.3%3320.2%5221.0%3016.9%3919.4%
7/6469.9%159.2%135.2%116.2%105.0%
7/718940.8%6841.7%9939.9%7642.9%10250.7%
7/97516.2%3018.4%6124.6%3519.8%3014.9%
9/810.2%10.6%00.0%00.0%00.0%
9/971.5%74.3%62.4%31.7%52.5%
Total463163248177201
Homozygotes21346.0%7646.6%10843.5%83b46.9%11255.7%
Heterozygotes25054.0%8753.4%14056.5%9453.1%8944.3%

aBeijing controls showed a significantly higher allelic frequency of the seven-repeat allele (P = 0.05) and a significantly higher frequency of homozygotes (P = 0.02).

bComparison of homozygote proportions of pooled controls versus individuals with SARS (χ2 = 0.13, P = 0.72; n = 1,051; 874 controls and 177 affected individuals).

Genotype distributions and homozygote proportions of CLEC4M neck region tandem repeat polymorphism in individuals with SARS and controls aBeijing controls showed a significantly higher allelic frequency of the seven-repeat allele (P = 0.05) and a significantly higher frequency of homozygotes (P = 0.02). bComparison of homozygote proportions of pooled controls versus individuals with SARS (χ2 = 0.13, P = 0.72; n = 1,051; 874 controls and 177 affected individuals). Sample size is the main limitation of both studies. However, these two samples already represent the few 'large' collections of individuals with SARS available for genetic study. To estimate the size of an overall effect, we performed a meta-analysis of the two data sets together by the Mantel-Haenszel test using control groups in Hardy-Weinberg equilibrium (two groups of controls in this study and random controls from Chan et al.; total n = 1,468; 462 affected individuals and 1,006 controls). The combined odds ratio was not significant (combined OR = 0.84; 95% confidence interval: 0.66–1.06, P = 0.14). The difference in the results between the two studies was basically accounted for by a difference in the homozygote proportions in the controls (45.4% in this study versus 55.0% in Chan et al.), while the homozygote proportions among individuals with SARS are almost identical (46.9% here versus 46.3% in Chan et al.). The reason for the discrepancy in the homozygote proportions in the 'control' groups is not clear. However, a subpopulation difference in allelic and genotypic frequencies exists between northern and southern Chinese. The seven-repeat allele was more prevalent in the Beijing sample (0.7 in Beijing versus 0.64 in Hong Kong; P = 0.05), which also largely accounted for the higher proportion of homozygotes (55.7% in Beijing versus 46.0% in Hong Kong; P = 0.02). Unrecognized subpopulation structure may confound genetic association studies. Results in the study by Chan et al. suggested that this confounding factor might be present. There were three groups of controls, including two groups of hospital controls (health care workers who worked in SARS wards and affected individuals attending various outpatient clinics) and a group of blood donor controls. Interestingly, genotype distributions from both groups of hospital-based controls deviated significantly (P < 0.0001) or marginally (P = 0.05) from Hardy-Weinberg equilibrium. In addition, other yet-unknown mechanisms (such as alternative splicing of the neck region, which could interfere with formation of homotetramers among homozygotes) may account for the discrepancy between the two studies. Replication is an important approach to verify any significant genetic association findings[6,7], and additional association studies are required to establish the putative protective effect of L-SIGN homozygosity against SARS or other infections. Note: is available on the Nature Genetics website.

Supplementary Table 1

Comparison of genotype distributions and homozygote proportions between SARS patients with different prognoses. (PDF 34 kb)
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