Skip to main content
Top
Published in: Journal of Translational Medicine 1/2022

Open Access 01-12-2022 | Ankylosing Spondylitis | Research

Genome-wide association study reveals ethnicity-specific SNPs associated with ankylosing spondylitis in the Taiwanese population

Authors: Ching-Lung Ko, Wei-Zhi Lin, Meng-Ting Lee, Yu-Tien Chang, Hung-Che Lin, Yi-Syuan Wu, Jun-Fu Lin, Ke-Ting Pan, Yu-Chuan Chang, Ko-Han Lee, Yi-Lun Lee, Tsung-Ting Hsieh, Jia-Hsin Huang, Chih-Hung Wang, Sung-Sen Yang, Hsiang-Cheng Chen, Chi-Ming Chu

Published in: Journal of Translational Medicine | Issue 1/2022

Login to get access

Abstract

Background

Ankylosing spondylitis (AS) is an autoimmune disease affecting mainly spine and sacroiliac joints and adjacent soft tissues. Genome-wide association studies (GWASs) are used to evaluate genetic associations and to predict genetic risk factors that determine the biological basis of disease susceptibility.
We aimed to explore the race-specific SNP susceptibility of AS in Taiwanese individuals and to investigate the association between HLA-B27 and AS susceptibility SNPs in Taiwan.

Methods

Genotyping data were collected from a medical center participating in the Taiwan Precision Medicine Initiative (TPMI) in the northern district of Taiwan. We designed a case–control study to identify AS susceptibility SNPs through GWAS. We searched the genome browser to find the corresponding susceptibility genes and used the GTEx database to confirm the regulation of gene expression. A polygenic risk score approach was also applied to evaluate the genetic variants in the prediction of developing AS.

Results

The results showed that the SNPs located on the sixth chromosome were related to higher susceptibility in the AS group. There was no overlap between our results and the susceptibility SNPs found in other races. The 12 tag SNPs located in the MHC region that were found through the linkage disequilibrium method had higher gene expression. Furthermore, Taiwanese people with HLA-B27 positivity had a higher proportion of minor alleles. This might be the reason that the AS prevalence is higher in Taiwan than in other countries. We developed AS polygenic risk score models with six different methods in which those with the top 10% polygenic risk had a fivefold increased risk of developing AS compared to the remaining group with low risk.

Conclusion

A total of 147 SNPs in the Taiwanese population were found to be statistically significantly associated with AS on the sixth pair of chromosomes and did not overlap with previously published sites in the GWAS Catalog. Whether those genes mapped by AS-associated SNPs are involved in AS and what the pathogenic mechanism of the mapped genes is remain to be further studied.
Appendix
Available only for authorised users
Literature
1.
go back to reference Benjamin M, Toumi H, Suzuki D, Hayashi K, McGonagle D. Evidence for a distinctive pattern of bone formation in enthesophytes. Ann Rheum Dis. 2009;68:1003–10.CrossRef Benjamin M, Toumi H, Suzuki D, Hayashi K, McGonagle D. Evidence for a distinctive pattern of bone formation in enthesophytes. Ann Rheum Dis. 2009;68:1003–10.CrossRef
2.
go back to reference Dean LE, Jones GT, MacDonald AG, Downham C, Sturrock RD, Macfarlane GJ. Global prevalence of ankylosing spondylitis. Rheumatology. 2014;53:650–7.CrossRef Dean LE, Jones GT, MacDonald AG, Downham C, Sturrock RD, Macfarlane GJ. Global prevalence of ankylosing spondylitis. Rheumatology. 2014;53:650–7.CrossRef
3.
go back to reference Zhu W, He X, Cheng K, Zhang L, Chen D, Wang X, Qiu G, Cao X, Weng X. Ankylosing spondylitis: etiology, pathogenesis, and treatments. Bone Res. 2019;7:22.CrossRef Zhu W, He X, Cheng K, Zhang L, Chen D, Wang X, Qiu G, Cao X, Weng X. Ankylosing spondylitis: etiology, pathogenesis, and treatments. Bone Res. 2019;7:22.CrossRef
4.
go back to reference Liu CH, Raj S, Chen CH, Hung KH, Chou CT, Chen IH, Chien JT, Lin IY, Yang SY, Angata T, et al. HLA-B27-mediated activation of TNAP phosphatase promotes pathogenic syndesmophyte formation in ankylosing spondylitis. J Clin Invest. 2019;129:5357–73.CrossRef Liu CH, Raj S, Chen CH, Hung KH, Chou CT, Chen IH, Chien JT, Lin IY, Yang SY, Angata T, et al. HLA-B27-mediated activation of TNAP phosphatase promotes pathogenic syndesmophyte formation in ankylosing spondylitis. J Clin Invest. 2019;129:5357–73.CrossRef
5.
go back to reference Clarke J. HLA-B27-related pathway mediates syndesmophyte formation in AS. Nat Rev Rheumatol. 2020;16:3–3.CrossRef Clarke J. HLA-B27-related pathway mediates syndesmophyte formation in AS. Nat Rev Rheumatol. 2020;16:3–3.CrossRef
6.
go back to reference Feltkamp TE, Mardjuadi A, Huang F, Chou CT. Spondyloarthropathies in eastern Asia. Curr Opin Rheumatol. 2001;13:285–90.CrossRef Feltkamp TE, Mardjuadi A, Huang F, Chou CT. Spondyloarthropathies in eastern Asia. Curr Opin Rheumatol. 2001;13:285–90.CrossRef
7.
go back to reference Végvári A, Szabó Z, Szántó S, Glant TT, Mikecz K, Szekanecz Z. The genetic background of ankylosing spondylitis. Joint Bone Spine. 2009;76:623–8.CrossRef Végvári A, Szabó Z, Szántó S, Glant TT, Mikecz K, Szekanecz Z. The genetic background of ankylosing spondylitis. Joint Bone Spine. 2009;76:623–8.CrossRef
8.
go back to reference Jamalyaria F, Ward MM, Assassi S, Learch TJ, Lee M, Gensler LS, Brown MA, Diekman L, Tahanan A, Rahbar MH, et al. Ethnicity and disease severity in ankylosing spondylitis a cross-sectional analysis of three ethnic groups. Clin Rheumatol. 2017;36:2359–64.CrossRef Jamalyaria F, Ward MM, Assassi S, Learch TJ, Lee M, Gensler LS, Brown MA, Diekman L, Tahanan A, Rahbar MH, et al. Ethnicity and disease severity in ankylosing spondylitis a cross-sectional analysis of three ethnic groups. Clin Rheumatol. 2017;36:2359–64.CrossRef
9.
go back to reference Li Z, Wu X, Leo PJ, De Guzman E, Akkoc N, Breban M, Macfarlane GJ, Mahmoudi M, Marzo-Ortega H, Anderson LK, et al. Polygenic risk scores have high diagnostic capacity in ankylosing spondylitis. Ann Rheum Dis. 2021;80:1168–74.CrossRef Li Z, Wu X, Leo PJ, De Guzman E, Akkoc N, Breban M, Macfarlane GJ, Mahmoudi M, Marzo-Ortega H, Anderson LK, et al. Polygenic risk scores have high diagnostic capacity in ankylosing spondylitis. Ann Rheum Dis. 2021;80:1168–74.CrossRef
10.
go back to reference Manolio TA. Genomewide association studies and assessment of the risk of disease. N Engl J Med. 2010;363:166–76.CrossRef Manolio TA. Genomewide association studies and assessment of the risk of disease. N Engl J Med. 2010;363:166–76.CrossRef
11.
go back to reference Australo-Anglo-American Spondyloarthritis Consortium (TASC), Reveille JD, Sims AM, Danoy P, Evans DM, Leo P, Pointon JJ, Jin R, Zhou X, Bradbury LA, et al. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci. Nat Genet. 2010;42:123–7.CrossRef Australo-Anglo-American Spondyloarthritis Consortium (TASC), Reveille JD, Sims AM, Danoy P, Evans DM, Leo P, Pointon JJ, Jin R, Zhou X, Bradbury LA, et al. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci. Nat Genet. 2010;42:123–7.CrossRef
12.
go back to reference Lin Z, Bei JX, Shen M, Li Q, Liao Z, Zhang Y, Lv Q, Wei Q, Low HQ, Guo YM, et al. A genome-wide association study in Han Chinese identifies new susceptibility loci for ankylosing spondylitis. Nat Genet. 2011;44:73–7.CrossRef Lin Z, Bei JX, Shen M, Li Q, Liao Z, Zhang Y, Lv Q, Wei Q, Low HQ, Guo YM, et al. A genome-wide association study in Han Chinese identifies new susceptibility loci for ankylosing spondylitis. Nat Genet. 2011;44:73–7.CrossRef
13.
go back to reference Evans DM, Spencer CC, Pointon JJ, Su Z, Harvey D, Kochan G, Oppermann U, Dilthey A, Pirinen M, Stone MA, et al. Interaction between ERAP1 and HLA-B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA-B27 in disease susceptibility. Nat Genet. 2011;43:761–7.CrossRef Evans DM, Spencer CC, Pointon JJ, Su Z, Harvey D, Kochan G, Oppermann U, Dilthey A, Pirinen M, Stone MA, et al. Interaction between ERAP1 and HLA-B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA-B27 in disease susceptibility. Nat Genet. 2011;43:761–7.CrossRef
14.
go back to reference Cortes A, Hadler J, Pointon JP, Robinson PC, Karaderi T, Leo P, Cremin K, Pryce K, Harris J, Lee S, et al. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat Genet. 2013;45:730–8.CrossRef Cortes A, Hadler J, Pointon JP, Robinson PC, Karaderi T, Leo P, Cremin K, Pryce K, Harris J, Lee S, et al. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat Genet. 2013;45:730–8.CrossRef
15.
go back to reference Robinson PC, Claushuis TA, Cortes A, Martin TM, Evans DM, Leo P, Mukhopadhyay P, Bradbury LA, Cremin K, Harris J, et al. Genetic dissection of acute anterior uveitis reveals similarities and differences in associations observed with ankylosing spondylitis. Arthr Rheumatol. 2015;67:140–51.CrossRef Robinson PC, Claushuis TA, Cortes A, Martin TM, Evans DM, Leo P, Mukhopadhyay P, Bradbury LA, Cremin K, Harris J, et al. Genetic dissection of acute anterior uveitis reveals similarities and differences in associations observed with ankylosing spondylitis. Arthr Rheumatol. 2015;67:140–51.CrossRef
16.
go back to reference Li YR, Li J, Zhao SD, Bradfield JP, Mentch FD, Maggadottir SM, Hou C, Abrams DJ, Chang D, Gao F, et al. Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases. Nat Med. 2015;21:1018–27.CrossRef Li YR, Li J, Zhao SD, Bradfield JP, Mentch FD, Maggadottir SM, Hou C, Abrams DJ, Chang D, Gao F, et al. Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases. Nat Med. 2015;21:1018–27.CrossRef
17.
go back to reference Ellinghaus D, Jostins L, Spain SL, Cortes A, Bethune J, Han B, Park YR, Raychaudhuri S, Pouget JG, Hübenthal M, et al. Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. Nat Genet. 2016;48:510–8.CrossRef Ellinghaus D, Jostins L, Spain SL, Cortes A, Bethune J, Han B, Park YR, Raychaudhuri S, Pouget JG, Hübenthal M, et al. Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. Nat Genet. 2016;48:510–8.CrossRef
18.
go back to reference Trochet H, Pirinen M, Band G, Jostins L, McVean G, Spencer CCA. Bayesian meta-analysis across genome-wide association studies of diverse phenotypes. Genet Epidemiol. 2019;43:532–47.CrossRef Trochet H, Pirinen M, Band G, Jostins L, McVean G, Spencer CCA. Bayesian meta-analysis across genome-wide association studies of diverse phenotypes. Genet Epidemiol. 2019;43:532–47.CrossRef
19.
go back to reference Li Z, Akar S, Yarkan H, Lee SK, Cetin P, Can G, Kenar G, Capa F, Pamuk ON, Pehlivan Y, et al. Genome-wide association study in Turkish and Iranian populations identify rare familial Mediterranean fever gene (MEFV) polymorphisms associated with ankylosing spondylitis. PLoS Genet. 2019;15: e1008038.CrossRef Li Z, Akar S, Yarkan H, Lee SK, Cetin P, Can G, Kenar G, Capa F, Pamuk ON, Pehlivan Y, et al. Genome-wide association study in Turkish and Iranian populations identify rare familial Mediterranean fever gene (MEFV) polymorphisms associated with ankylosing spondylitis. PLoS Genet. 2019;15: e1008038.CrossRef
20.
go back to reference Huang XF, Li Z, De Guzman E, Robinson P, Gensler L, Ward MM, Rahbar MH, Lee M, Weisman MH, Macfarlane GJ, et al. Genomewide association study of acute anterior uveitis identifies new susceptibility loci. Invest Ophthalmol Vis Sci. 2020;61:3.CrossRef Huang XF, Li Z, De Guzman E, Robinson P, Gensler L, Ward MM, Rahbar MH, Lee M, Weisman MH, Macfarlane GJ, et al. Genomewide association study of acute anterior uveitis identifies new susceptibility loci. Invest Ophthalmol Vis Sci. 2020;61:3.CrossRef
22.
go back to reference Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.CrossRef Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.CrossRef
23.
go back to reference Anderson CA, Pettersson FH, Clarke GM, Cardon LR, Morris AP, Zondervan KT. Data quality control in genetic case-control association studies. Nat Protoc. 2010;5:1564–73.CrossRef Anderson CA, Pettersson FH, Clarke GM, Cardon LR, Morris AP, Zondervan KT. Data quality control in genetic case-control association studies. Nat Protoc. 2010;5:1564–73.CrossRef
24.
go back to reference Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, Hasz R, Walters G, Garcia F, Young N, et al. The Genotype-tissue expression (GTEx) project. Nat Genet. 2013;45:580–5.CrossRef Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, Hasz R, Walters G, Garcia F, Young N, et al. The Genotype-tissue expression (GTEx) project. Nat Genet. 2013;45:580–5.CrossRef
25.
go back to reference Choi SW, Mak TS, O’Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc. 2020;15:2759–72.CrossRef Choi SW, Mak TS, O’Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc. 2020;15:2759–72.CrossRef
26.
go back to reference Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7.CrossRef Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7.CrossRef
27.
go back to reference Mak TSH, Porsch RM, Choi SW, Zhou X, Sham PC. Polygenic scores via penalized regression on summary statistics. Genet Epidemiol. 2017;41:469–80.CrossRef Mak TSH, Porsch RM, Choi SW, Zhou X, Sham PC. Polygenic scores via penalized regression on summary statistics. Genet Epidemiol. 2017;41:469–80.CrossRef
28.
go back to reference Privé F, Arbel J, Vilhjálmsson BJ. LDpred2: better, faster, stronger. Bioinformatics. 2020;36:5424–31.CrossRef Privé F, Arbel J, Vilhjálmsson BJ. LDpred2: better, faster, stronger. Bioinformatics. 2020;36:5424–31.CrossRef
29.
go back to reference Chang YC, Wu JT, Hong MY, Tung YA, Hsieh PH, Yee SW, Giacomini KM, Oyang YJ, Chen CY. GenEpi: gene-based epistasis discovery using machine learning. BMC Bioinformatics. 2020;21:68.CrossRef Chang YC, Wu JT, Hong MY, Tung YA, Hsieh PH, Yee SW, Giacomini KM, Oyang YJ, Chen CY. GenEpi: gene-based epistasis discovery using machine learning. BMC Bioinformatics. 2020;21:68.CrossRef
30.
go back to reference Ge T, Chen CY, Ni Y, Feng YA, Smoller JW. Polygenic prediction via bayesian regression and continuous shrinkage priors. Nat Commun. 2019;10:1776.CrossRef Ge T, Chen CY, Ni Y, Feng YA, Smoller JW. Polygenic prediction via bayesian regression and continuous shrinkage priors. Nat Commun. 2019;10:1776.CrossRef
31.
go back to reference Euesden J, Lewis CM, O’Reilly PF. PRSice: polygenic risk score software. Bioinformatics. 2015;31:1466–8.CrossRef Euesden J, Lewis CM, O’Reilly PF. PRSice: polygenic risk score software. Bioinformatics. 2015;31:1466–8.CrossRef
32.
go back to reference Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, Distefano M, Senol-Cosar O, Haas ME, Bick A, et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell. 2019;177:587-596.e589.CrossRef Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, Distefano M, Senol-Cosar O, Haas ME, Bick A, et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell. 2019;177:587-596.e589.CrossRef
33.
go back to reference Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018;50:1219–24.CrossRef Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018;50:1219–24.CrossRef
34.
go back to reference Takahashi N, Nishimura T, Harada T, Okumura A, Choi D, Iwabuchi T, Kuwabara H, Takagai S, Nomura Y, Newcorn JH, et al. Polygenic risk score analysis revealed shared genetic background in attention deficit hyperactivity disorder and narcolepsy. Transl Psychiatry. 2020;10:284.CrossRef Takahashi N, Nishimura T, Harada T, Okumura A, Choi D, Iwabuchi T, Kuwabara H, Takagai S, Nomura Y, Newcorn JH, et al. Polygenic risk score analysis revealed shared genetic background in attention deficit hyperactivity disorder and narcolepsy. Transl Psychiatry. 2020;10:284.CrossRef
35.
go back to reference de Blecourt J, Polman A, de Blécourt-Meindersma T. Hereditary factors in rheumatoid arthritis and ankylosing spondylitis. Ann Rheum Dis. 1961;20:215.CrossRef de Blecourt J, Polman A, de Blécourt-Meindersma T. Hereditary factors in rheumatoid arthritis and ankylosing spondylitis. Ann Rheum Dis. 1961;20:215.CrossRef
36.
go back to reference Reveille JD. The genetic basis of ankylosing spondylitis. Curr Opin Rheumatol. 2006;18:332–41.CrossRef Reveille JD. The genetic basis of ankylosing spondylitis. Curr Opin Rheumatol. 2006;18:332–41.CrossRef
37.
go back to reference Brewerton DA, Hart FD, Nicholls A, Caffrey M, James DC, Sturrock RD. Ankylosing spondylitis and HL-A 27. Lancet. 1973;1:904–7.CrossRef Brewerton DA, Hart FD, Nicholls A, Caffrey M, James DC, Sturrock RD. Ankylosing spondylitis and HL-A 27. Lancet. 1973;1:904–7.CrossRef
38.
go back to reference Brown MA. Breakthroughs in genetic studies of ankylosing spondylitis. Rheumatology. 2008;47:132–7.CrossRef Brown MA. Breakthroughs in genetic studies of ankylosing spondylitis. Rheumatology. 2008;47:132–7.CrossRef
39.
go back to reference Gran JT, Husby G, Hordvik M. Prevalence of ankylosing spondylitis in males and females in a young middle-aged population of Tromsø, northern Norway. Ann Rheum Dis. 1985;44:359–67.CrossRef Gran JT, Husby G, Hordvik M. Prevalence of ankylosing spondylitis in males and females in a young middle-aged population of Tromsø, northern Norway. Ann Rheum Dis. 1985;44:359–67.CrossRef
40.
go back to reference Braun J, Bollow M, Remlinger G, Eggens U, Rudwaleit M, Distler A, Sieper J. Prevalence of spondylarthropathies in HLA-B27 positive and negative blood donors. Arthr Rheum. 1998;41:58–67.CrossRef Braun J, Bollow M, Remlinger G, Eggens U, Rudwaleit M, Distler A, Sieper J. Prevalence of spondylarthropathies in HLA-B27 positive and negative blood donors. Arthr Rheum. 1998;41:58–67.CrossRef
41.
go back to reference van der Linden SM, Valkenburg HA, de Jongh BM, Cats A. The risk of developing ankylosing spondylitis in HLA-B27 positive individuals. a comparison of relatives of spondylitis patients with the general population. Arthr Rheum. 1984;27:241–9.CrossRef van der Linden SM, Valkenburg HA, de Jongh BM, Cats A. The risk of developing ankylosing spondylitis in HLA-B27 positive individuals. a comparison of relatives of spondylitis patients with the general population. Arthr Rheum. 1984;27:241–9.CrossRef
42.
go back to reference Khan MA. Polymorphism of HLA-B27: 105 subtypes currently known. Curr Rheumatol Rep. 2013;15:362.CrossRef Khan MA. Polymorphism of HLA-B27: 105 subtypes currently known. Curr Rheumatol Rep. 2013;15:362.CrossRef
43.
go back to reference Reveille JD. An update on the contribution of the MHC to AS susceptibility. Clin Rheumatol. 2014;33:749–57.CrossRef Reveille JD. An update on the contribution of the MHC to AS susceptibility. Clin Rheumatol. 2014;33:749–57.CrossRef
44.
go back to reference Laval SH, Timms A, Edwards S, Bradbury L, Brophy S, Milicic A, Rubin L, Siminovitch KA, Weeks DE, Calin A, et al. Whole-genome screening in ankylosing spondylitis: evidence of non-MHC genetic-susceptibility loci. Am J Hum Genet. 2001;68:918–26.CrossRef Laval SH, Timms A, Edwards S, Bradbury L, Brophy S, Milicic A, Rubin L, Siminovitch KA, Weeks DE, Calin A, et al. Whole-genome screening in ankylosing spondylitis: evidence of non-MHC genetic-susceptibility loci. Am J Hum Genet. 2001;68:918–26.CrossRef
45.
go back to reference Frazer KA, Ballinger DG, Cox DR, Hinds DA, Stuve LL, Gibbs RA, Belmont JW, Boudreau A, Hardenbol P, Leal SM, et al. A second generation human haplotype map of over 31 million SNPs. Nature. 2007;449:851–61.CrossRef Frazer KA, Ballinger DG, Cox DR, Hinds DA, Stuve LL, Gibbs RA, Belmont JW, Boudreau A, Hardenbol P, Leal SM, et al. A second generation human haplotype map of over 31 million SNPs. Nature. 2007;449:851–61.CrossRef
47.
go back to reference Reveille J, Sims A, Danoy P, Evans D, Leo P, Pointon J, Jin R, Zhou X, Bradbury L, Appleton L, et al. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci. Nat Genet. 2010;42:123–7.CrossRef Reveille J, Sims A, Danoy P, Evans D, Leo P, Pointon J, Jin R, Zhou X, Bradbury L, Appleton L, et al. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci. Nat Genet. 2010;42:123–7.CrossRef
48.
go back to reference Nancy Z, Yan L, Hui S, Paul B, Liye C. From the genetics of ankylosing spondylitis to new biology and drug target discovery. Front Immunol. 2021;12: 624632.CrossRef Nancy Z, Yan L, Hui S, Paul B, Liye C. From the genetics of ankylosing spondylitis to new biology and drug target discovery. Front Immunol. 2021;12: 624632.CrossRef
49.
go back to reference Jung SH, Yim SH, Hu HJ, Lee KH, Lee JH, Sheen DH, Lim MK, Kim SY, Park SW, Kim SH, et al. Genome-wide copy number variation analysis identifies deletion variants associated with ankylosing spondylitis. Arthritis Rheumatol. 2014;66:2103–12.CrossRef Jung SH, Yim SH, Hu HJ, Lee KH, Lee JH, Sheen DH, Lim MK, Kim SY, Park SW, Kim SH, et al. Genome-wide copy number variation analysis identifies deletion variants associated with ankylosing spondylitis. Arthritis Rheumatol. 2014;66:2103–12.CrossRef
50.
go back to reference Zheng X, Li Q, Li X, Zhang Y, Wu X, Wei Q, Cao S, Yang M, Lin Z, Liao Z, et al. Analysis of 47 Non-MHC ankylosing spondylitis susceptibility loci regarding associated variants across whites and Han Chinese. J Rheumatol. 2020;47:674–81.CrossRef Zheng X, Li Q, Li X, Zhang Y, Wu X, Wei Q, Cao S, Yang M, Lin Z, Liao Z, et al. Analysis of 47 Non-MHC ankylosing spondylitis susceptibility loci regarding associated variants across whites and Han Chinese. J Rheumatol. 2020;47:674–81.CrossRef
51.
go back to reference Holwerda SJ, de Laat W. CTCF: the protein, the binding partners, the binding sites and their chromatin loops. Philos Trans R Soc Lond B Biol Sci. 2013;368:20120369.CrossRef Holwerda SJ, de Laat W. CTCF: the protein, the binding partners, the binding sites and their chromatin loops. Philos Trans R Soc Lond B Biol Sci. 2013;368:20120369.CrossRef
52.
go back to reference Paladini F, Belfiore F, Cocco E, Carcassi C, Cauli A, Vacca A, Fiorillo MT, Mathieu A, Cascino I, Sorrentino R. HLA-E gene polymorphism associates with ankylosing spondylitis in Sardinia. Arthritis Res Ther. 2009;11:R171.CrossRef Paladini F, Belfiore F, Cocco E, Carcassi C, Cauli A, Vacca A, Fiorillo MT, Mathieu A, Cascino I, Sorrentino R. HLA-E gene polymorphism associates with ankylosing spondylitis in Sardinia. Arthritis Res Ther. 2009;11:R171.CrossRef
54.
go back to reference Coit P, Kaushik P, Caplan L, Kerr GS, Walsh JA, Dubreuil M, Reimold A, Sawalha AH. Genome-wide DNA methylation analysis in ankylosing spondylitis identifies HLA-B*27 dependent and independent DNA methylation changes in whole blood. J Autoimmun. 2019;102:126–32.CrossRef Coit P, Kaushik P, Caplan L, Kerr GS, Walsh JA, Dubreuil M, Reimold A, Sawalha AH. Genome-wide DNA methylation analysis in ankylosing spondylitis identifies HLA-B*27 dependent and independent DNA methylation changes in whole blood. J Autoimmun. 2019;102:126–32.CrossRef
55.
go back to reference Quan C, Ren YQ, Xiang LH, Sun LD, Xu AE, Gao XH, Chen HD, Pu XM, Wu RN, Liang CZ, et al. Genome-wide association study for vitiligo identifies susceptibility loci at 6q27 and the MHC. Nat Genet. 2010;42:614–8.CrossRef Quan C, Ren YQ, Xiang LH, Sun LD, Xu AE, Gao XH, Chen HD, Pu XM, Wu RN, Liang CZ, et al. Genome-wide association study for vitiligo identifies susceptibility loci at 6q27 and the MHC. Nat Genet. 2010;42:614–8.CrossRef
Metadata
Title
Genome-wide association study reveals ethnicity-specific SNPs associated with ankylosing spondylitis in the Taiwanese population
Authors
Ching-Lung Ko
Wei-Zhi Lin
Meng-Ting Lee
Yu-Tien Chang
Hung-Che Lin
Yi-Syuan Wu
Jun-Fu Lin
Ke-Ting Pan
Yu-Chuan Chang
Ko-Han Lee
Yi-Lun Lee
Tsung-Ting Hsieh
Jia-Hsin Huang
Chih-Hung Wang
Sung-Sen Yang
Hsiang-Cheng Chen
Chi-Ming Chu
Publication date
01-12-2022
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2022
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-022-03701-3

Other articles of this Issue 1/2022

Journal of Translational Medicine 1/2022 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.