Genome-Wide Association Study of Korean Asthmatics: A Comparison With UK Asthmatics

Purpose Although genome-wide association studies (GWASs) represent the most powerful approach for identifying genes that influence asthma, to date, no studies have established genetic susceptibility to asthma in the Korean population. This study aimed to identify genetic variants associated with adult Korean asthmatics and compare them with the significant single nucleotide polymorphisms (SNPs) of UK asthmatics from the UK Biobank. Methods Patients were defined as having asthma if they were diagnosed by a doctor or taking medications for asthma. Controls were defined as individuals without asthma or chronic obstructive pulmonary disease. We performed quality control, genotype imputation, GWAS, and PrediXcan analyses. In the GWAS, a P value of < 5 × 10−8 was considered significant. We compared significant SNPs between Korean and UK patients with asthma. Results A total of 1,386 asthmatic patients and 5,205 controls were analyzed. The SNP rs1770, located near the human leukocyte antigen (HLA)-DQB1, was the most significant SNP (P = 4.5 × 10−10). In comparison with 24 SNPs in a GWAS of UK asthmatics, six SNPs were significant with the same odds ratio (OR) direction, including signals related to type 2 inflammation (e.g., IL1RL1, TSLP, and GATA3) and mucus plugging (e.g., MUC5AC). HLA-DQA1 showed an opposite OR direction. The HLA-DQB1 gene demonstrated significantly imputed mRNA expression in the lung tissue and whole blood. Conclusions The SNP rs1770 of HLA-DQB1 was the most significant in Korean asthmatics. Similarities and discrepancies were found in the genetic variants between Korean and UK asthmatics. GWAS of Korean asthmatics should be replicated and compared with those of GWAS of other ethnicities.

[1]  Ryan L. Collins,et al.  The mutational constraint spectrum quantified from variation in 141,456 humans , 2020, Nature.

[2]  L. Liang,et al.  Shared Genetic and Experimental Links between Obesity-Related Traits and Asthma Subtypes in UK Biobank. , 2020, The Journal of allergy and clinical immunology.

[3]  SNP genotype calling and quality control for multi-batch-based studies , 2019, Genes & Genomics.

[4]  Y. J. Kim,et al.  The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits , 2019, Scientific Reports.

[5]  L. Wain,et al.  Moderate-to-severe asthma in individuals of European ancestry: a genome-wide association study , 2019, The Lancet. Respiratory medicine.

[6]  Sungyoung Lee,et al.  ONETOOL for the analysis of family-based big data , 2018, Bioinform..

[7]  D. Erle,et al.  Airway Mucus and Asthma: The Role of MUC5AC and MUC5B , 2017, Journal of clinical medicine.

[8]  C. Lau,et al.  Human CLEC16A regulates autophagy through modulating mTOR activity , 2017, Experimental cell research.

[9]  Alan M. Kwong,et al.  Next-generation genotype imputation service and methods , 2016, Nature Genetics.

[10]  Shane A. McCarthy,et al.  Reference-based phasing using the Haplotype Reference Consortium panel , 2016, Nature Genetics.

[11]  Joseph K. Pickrell,et al.  Detection and interpretation of shared genetic influences on 42 human traits , 2015, Nature Genetics.

[12]  C. Ober Asthma Genetics in the Post-GWAS Era. , 2016, Annals of the American Thoracic Society.

[13]  Mitchell J. Machiela,et al.  LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants , 2015, Bioinform..

[14]  Kaanan P. Shah,et al.  A gene-based association method for mapping traits using reference transcriptome data , 2015, Nature Genetics.

[15]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[16]  E. Shin,et al.  The SNP rs3128965 of HLA-DPB1 as a Genetic Marker of the AERD Phenotype , 2014, PloS one.

[17]  K. Domvri,et al.  HLA and asthma phenotypes/endotypes: a review. , 2014, Human immunology.

[18]  G. Wong,et al.  Differences in asthma genetics between Chinese and other populations. , 2014, The Journal of allergy and clinical immunology.

[19]  Ellen T. Gelfand,et al.  The Genotype-Tissue Expression (GTEx) project , 2013, Nature Genetics.

[20]  H. Hakonarson,et al.  HLA‐DQ strikes again: Genome‐wide association study further confirms HLA‐DQ in the diagnosis of asthma among adults , 2012, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

[21]  H. Shin,et al.  A highly sensitive and specific genetic marker to diagnose aspirin-exacerbated respiratory disease using a genome-wide association study. , 2012, DNA and cell biology.

[22]  Y. J. Kim,et al.  Replication of genome-wide association studies on asthma and allergic diseases in Korean adult population. , 2012, BMB reports.

[23]  J. Stockman,et al.  A Large-Scale, Consortium-Based Genomewide Association Study of Asthma , 2012 .

[24]  Yusuke Nakamura,et al.  Genome-wide association study identifies three new susceptibility loci for adult asthma in the Japanese population , 2011, Nature Genetics.

[25]  Carole Ober,et al.  The genetics of asthma and allergic disease: a 21st century perspective , 2011, Immunological reviews.

[26]  Ryan D. Hernandez,et al.  Meta-analysis of Genome-wide Association Studies of Asthma In Ethnically Diverse North American Populations , 2011, Nature Genetics.

[27]  Tien Yin Wong,et al.  Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians , 2011, Nature Genetics.

[28]  P. Visscher,et al.  GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.

[29]  H. Shin,et al.  Genome-Wide and Follow-Up Studies Identify CEP68 Gene Variants Associated with Risk of Aspirin-Intolerant Asthma , 2010, PloS one.

[30]  H. Vijay,et al.  Association of IL-4RA single nucleotide polymorphisms, HLA-DR and HLA-DQ in children with Alternaria-sensitive moderate-severe asthma , 2010, Clinical and molecular allergy : CMA.

[31]  C. Hong,et al.  Alpha‐T‐catenin (CTNNA3) gene was identified as a risk variant for toluene diisocyanate‐induced asthma by genome‐wide association analysis , 2009, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

[32]  A. Aghamohammadi,et al.  Association of HLA class II alleles with childhood asthma and Total IgE levels. , 2008, Iranian journal of allergy, asthma, and immunology.

[33]  D. Vercelli,et al.  Discovering susceptibility genes for asthma and allergy , 2008, Nature Reviews Immunology.

[34]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[35]  Gonçalo R. Abecasis,et al.  Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma , 2007, Nature.

[36]  Sang-Heon Cho,et al.  The Current Status of Asthma in Korea , 2006, Journal of Korean medical science.

[37]  G. Abecasis,et al.  A note on exact tests of Hardy-Weinberg equilibrium. , 2005, American journal of human genetics.

[38]  Jerzy K. Kulski,et al.  An update of the HLA genomic region, locus information and disease associations: 2004. , 2004, Tissue antigens.

[39]  S. Holgate,et al.  HLA genetics and allergic disease. , 1995, Thorax.