Research paperFine-mapping analysis of the MHC region for vitiligo based on a new Han-MHC reference panel☆
Introduction
Vitiligo is an autoimmune disorder characterized by patchy depigmentation of skin and hair resulting from progressive loss of melanocytes, with an estimated prevalence ranging from 0.5% to 1% in most populations worldwide (Ezzedine et al., 2012). Various theories have been proposed for the explanation of the dysfunction and loss of melanocytes in vitiligo, such as the biochemical hypothesis, neural hypothesis, autoimmune hypothesis, oxidative hypothesis and genetic hypothesis (Ongenae et al., 2003; Schallreuter et al., 2008; Spritz, 2008). Among them, much evidence has indicated that autoimmune processes are the major explanation, and genetic data has already provided important insights (Alkhateeb et al., 2003; Ongenae et al., 2003; Sandoval-Cruz et al., 2011; Spritz, 2012).
The major histocompatibility complex (MHC) region on chromosome 6p21.3, which contains the human leukocyte antigen (HLA) genes, was thought to play an essential role in immune response. The association between vitiligo and HLA genes has been documented for a few decades. In the early stage, case-control studies with a small sample size based on serological typing or DNA typing of HLA have shown an association. However, only the associations of HLA-A ∗ 02, HLA-DRB1 ∗ 04 and HLA-DRB1 ∗ 07 with vitiligo were somehow consistent among different studies (Zhang et al., 2005; Liu et al., 2007; Spritz, 2008). Since the application of genome-wide association study (GWAS), more and more vitiligo susceptibility loci have been identified, including MHC region (Jin et al., 2010; Quan et al., 2010; Jin et al., 2011; Birlea et al., 2013). In 2010, Jin et al. identified two major MHC signals associated with generalized vitiligo in the European population, represented by rs12206499 (HLA-A ~ HCG9) and rs532098 (HLA-DRB1 ~ HLA-DQA1). Moreover, another two association signals within the MHC region were reported in the Han Chinese population, including rs11966200 (might reflect HLA-A ∗ 30:01, HLA-B ∗ 13:02, HLA-C ∗ 06:02 and HLA-DRB1 ∗ 07:01) and rs9468925.
Although we have established the association between HLA genes and generalized vitiligo in the Han Chinese subjects by both linkage study and GWAS (Liang et al., 2007; Quan et al., 2010), due to the complexity of the MHC region, it is difficult to fully reveal the genetic architecture of the MHC region for vitiligo. Recently, the newly developed computational strategy SNP2HLA (Jia et al., 2013) enables researchers to perform fine-mapping studies within the MHC region. This has resulted in many achievements in the research of autoimmune diseases of the European population, including idiopathic achalasia (Gockel et al., 2014), psoriasis (Okada et al., 2014), ankylosing spondylitis (Cortes et al., 2015), inflammatory bowel diseases (Goyette et al., 2015), and type 1 diabetes (Hu et al., 2015). However, the susceptibility on HLA genes for diseases such as vitiligo may differ among different populations and continents. To accelerate the fine-mapping strategy in the Han Chinese population, our group constructed the Han-MHC reference panel, which has shown better performance for the imputation of HLA genes (Zhou et al., 2016). Recent studies also implied that the autoimmunity risk conferred by HLA genes was more likely determined by the variants of their amino acid residues (Raychaudhuri et al., 2012; Foo et al., 2013; Kim et al., 2014). However, a fine-mapping study of the MHC region in vitiligo to assess the contribution of amino acid variants of HLA genes has not been implemented. To this end, we conducted a fine-mapping study on 2818 subjects to systematically investigate the coding variants of HLA genes within the MHC region for generalized vitiligo in the Han Chinese population based on a HLA imputation method with our newly built Han-MHC reference panel.
Section snippets
Study subjects and SNP genotyping data
We used single-nucleotide polymorphism (SNP) genotyping data (Illumina 610-Quad BeadChip, Illumina, San Diego, CA) from our previous extended vitiligo GWAS, including 1117 cases with generalized vitiligo and 1701 healthy controls from the Han Chinese population (Tang et al., 2013). All the vitiligo patients fulfilled the diagnostic criteria of Vitiligo European Task Force (Taieb et al., 2007). Clinical and demographic information was obtained from both patients and controls through a structured
HLA imputation with Han-MHC reference panel
By applying the imputation method with software SNP2HLA, we successfully inferred two-digit and four-digit allele genotypes for the eight HLA genes and their corresponding amino acid polymorphisms, as well as SNPs within the MHC region on 2818 subjects. After stringent QC, we finally obtained 21,580 variants to further evaluate their associations with the risk of vitiligo. To reduce type I error rate in subsequent statistical analysis, we set P < 2.32 × 10−6 as the significance threshold for
Discussion
In our previous vitiligo GWAS, we identified two independent association signals (rs11966200 and rs9468925) in the MHC region in the Han Chinese population, in which rs11966200 might reflect the association of HLA-A ∗ 30:01, HLA-B ∗ 13:02, HLA-C ∗ 06:02 and HLA-DRB1 ∗ 07:01, while rs9468925 might represent an unknown one. Population-specific reference for HLA imputation could help us evaluate the association between coding variants of HLA genes and immune diseases in an effective and less
Acknowledgements
We thank the subjects who participated in this study and donated their DNA samples. This work was supported by the Youth Program of the Natural Science Foundation of Anhui Province (1708085QH211).
Conflict of interest
The authors state no conflict of interest.
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Any conflict of interest disclosures: None.