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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front. Med.    2018, Vol. 12 Issue (6) : 717-725    https://doi.org/10.1007/s11684-017-0588-6
RESEARCH ARTICLE
DNA methylation-based subclassification of psoriasis in the Chinese Han population
Fusheng Zhou1,2,3(), Changbing Shen4,5,6,7,8, Yi-Hsiang Hsu7,8,9, Jing Gao10, Jinfa Dou1,2,3,6, Randy Ko11, Xiaodong Zheng1,2,3,6, Liangdan Sun1,2,3,6, Yong Cui4,5, Xuejun Zhang1,2,3,6,10()
1. Institute of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei 230032, China
2. The Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei 230032, China
3. Collaborative Innovation Center for Complex and Severe Dermatosis, Anhui Medical University, Hefei 230032, China
4. Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
5. Graduate School, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
6. Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei 230032, China
7. Molecular and Integrative Physiological Sciences, Harvard T.H. CHAN School of Public Health, Boston, MA 02115, USA
8. Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA 02131, USA
9. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
10. Department of Dermatology, The Second Affiliated Hospital, Anhui Medical University, Hefei 230601, China
11. Department of Biochemistry, University of New Mexico, Albuquerque, NM 87131, USA
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Abstract

Psoriasis (Ps) is an inflammatory skin disease caused by genetic and environmental factors. Previous studies on DNA methylation (DNAm) found genetic markers that are closely associated with Ps, and evidence has shown that DNAm mediates genetic risk in Ps. In this study, Consensus Clustering was used to analyze DNAm data, and 114 Ps patients were divided into three subclassifications. Investigation of the clinical characteristics and copy number variations (CNVs) of DEFB4, IL22, and LCE3C in the three subclassifications revealed no significant differences in gender ratio and in Ps area and severity index (PASI) score. The proportion of late-onset (≥40 years) Ps patients was significantly higher in type I than in types II and III (P = 0.035). Type III contained the smallest proportion of smokers and the largest proportion of non-smoking Ps patients (P = 0.086). The CNVs of DEFB4 and LCE3C showed no significant differences but the CNV of IL22 significantly differed among the three subclassifications (P = 0.044). This study is the first to profile Ps subclassifications based on DNAm data in the Chinese Han population. These results are useful in the treatment and management of Ps from the molecular and genetic perspectives.

Keywords psoriasis      DNA methylation      subclassification     
Corresponding Author(s): Fusheng Zhou,Xuejun Zhang   
Just Accepted Date: 20 December 2017   Online First Date: 03 April 2018    Issue Date: 03 December 2018
 Cite this article:   
Fusheng Zhou,Changbing Shen,Yi-Hsiang Hsu, et al. DNA methylation-based subclassification of psoriasis in the Chinese Han population[J]. Front. Med., 2018, 12(6): 717-725.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-017-0588-6
https://academic.hep.com.cn/fmd/EN/Y2018/V12/I6/717
Fig.1  Identification of three psoriasis subclassifications from DNAm analysis. (A–C) Consensus matrix of psoriasis DNAm analysis for k = 2, k = 3, and k = 4. (D) Consensus CDF plot for k = 2 to k = 10. (E) Relative change in the area under the CDF curve for k = 2 to k = 10. (F) Silhouette plot for k = 3.
Fig.2  Frequency of characteristics in the three psoriasis subclassifications.
Types Type I Type II Type III Total
No. of patients
?All 29 39 46 114
?Core sample 29 38 45 112
Sex
?Male 15 24 25 64
?Female 14 14 20 48
Age (year)
?< 40 22 17 24 63
?≥ 40 7 21 21 49
Average (range) 32.2 (13−67) 37.6 (10−65) 36.1 (15−76) 37.7 (10−76)
Smoking status
?Never 20 20 35 75
?Former 4 9 2 15
?Current 5 9 8 22
PASI score
?< 3.0 15 11 21 47
?3.0−9.0 11 24 19 54
?≥ 9.0 3 3 5 11
BMI
?Median 21.79 23.21 22.8 22.74
?Mean 22.03 23.05 22.2 22.38
Tab.1  The characteristics of psoriasis patients in three different subclassifications
Fig.3  Distribution of characteristics in the three psoriasis subclassifications.
Fig.4  Copy numbers of DEFB4, IL22, and LCE3C in the three psoriasis subclassifications.
1 Nestle FO, Kaplan DH, Barker J. Psoriasis. N Engl J Med 2009; 361(5): 496–509
https://doi.org/10.1056/NEJMra0804595 pmid: 19641206
2 Gudjonsson JE, Krueger G. A role for epigenetics in psoriasis: methylated cytosine-guanine sites differentiate lesional from nonlesional skin and from normal skin. J Invest Dermatol 2012; 132(3 Pt 1): 506–508
https://doi.org/10.1038/jid.2011.364 pmid: 22327261
3 WHO. Global Report on Psoriasis. United States: World Health Organization, 2016
4 Eckhardt F, Lewin J, Cortese R, Rakyan VK, Attwood J, Burger M, Burton J, Cox TV, Davies R, Down TA, Haefliger C, Horton R, Howe K, Jackson DK, Kunde J, Koenig C, Liddle J, Niblett D, Otto T, Pettett R, Seemann S, Thompson C, West T, Rogers J, Olek A, Berlin K, Beck S. DNA methylation profiling of human chromosomes 6, 20 and 22. Nat Genet 2006; 38(12): 1378–1385
https://doi.org/10.1038/ng1909 pmid: 17072317
5 Maunakea AK, Chepelev I, Cui K, Zhao K. Intragenic DNA methylation modulates alternative splicing by recruiting MeCP2 to promote exon recognition. Cell Res 2013; 23(11): 1256–1269
https://doi.org/10.1038/cr.2013.110 pmid: 23938295
6 Gervin K, Vigeland MD, Mattingsdal M, Hammerø M, Nygård H, Olsen AO, Brandt I, Harris JR, Undlien DE, Lyle R. DNA methylation and gene expression changes in monozygotic twins discordant for psoriasis: identification of epigenetically dysregulated genes. PLoS Genet 2012; 8(1): e1002454
https://doi.org/10.1371/journal.pgen.1002454 pmid: 22291603
7 Zhou F, Wang W, Shen C, Li H, Zuo X, Zheng X, Yue M, Zhang C, Yu L, Chen M, Zhu C, Yin X, Tang M, Li Y, Chen G, Wang Z, Liu S, Zhou Y, Zhang F, Zhang W, Li C, Yang S, Sun L, Zhang X. Epigenome-wide association analysis identified nine skin DNA methylation loci for psoriasis. J Invest Dermatol 2016; 136(4): 779–787
https://doi.org/10.1016/j.jid.2015.12.029 pmid: 26743604
8 Elliott G, Hong C, Xing X, Zhou X, Li D, Coarfa C, Bell RJ, Maire CL, Ligon KL, Sigaroudinia M, Gascard P, Tlsty TD, Harris RA, Schalkwyk LC. Intermediate DNA methylation is a conserved signature of genome regulation. 2015; 6: 6363
9 Brunet JP, Tamayo P, Golub TR, Mesirov JP. Metagenes and molecular pattern discovery using matrix factorization. Proc Natl Acad Sci USA 2004; 101(12): 4164–4169
https://doi.org/10.1073/pnas.0308531101 pmid: 15016911
10 Cho YJ, Tsherniak A, Tamayo P, Santagata S, Ligon A, Greulich H, Berhoukim R, Amani V, Goumnerova L, Eberhart CG, Lau CC, Olson JM, Gilbertson RJ, Gajjar A, Delattre O, Kool M, Ligon K, Meyerson M, Mesirov JP, Pomeroy SL. Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome. J Clin Oncol 2011; 29(11): 1424–1430
https://doi.org/10.1200/JCO.2010.28.5148 pmid: 21098324
11 Verhaak RG, Hoadley KA, Purdom E, Wang V, Qi Y, Wilkerson MD, Miller CR, Ding L, Golub T, Mesirov JP, Alexe G, Lawrence M, O’Kelly M, Tamayo P, Weir BA, Gabriel S, Winckler W, Gupta S, Jakkula L, Feiler HS, Hodgson JG, James CD, Sarkaria JN, Brennan C, Kahn A, Spellman PT, Wilson RK, Speed TP, Gray JW, Meyerson M, Getz G, Perou CM, Hayes DN; Cancer Genome Atlas Research Network. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell 2010; 17(1): 98–110
https://doi.org/10.1016/j.ccr.2009.12.020 pmid: 20129251
12 Raychaudhuri SK, Maverakis E, Raychaudhuri SP. Diagnosis and classification of psoriasis. Autoimmun Rev 2014; 13(4-5): 490–495
https://doi.org/10.1016/j.autrev.2014.01.008 pmid: 24434359
13 Noushmehr H, Weisenberger DJ, Diefes K, Phillips HS, Pujara K, Berman BP, Pan F, Pelloski CE, Sulman EP, Bhat KP, Verhaak RG, Hoadley KA, Hayes DN, Perou CM, Schmidt HK, Ding L, Wilson RK, Van Den Berg D, Shen H, Bengtsson H, Neuvial P, Cope LM, Buckley J, Herman JG, Baylin SB, Laird PW, Aldape K; Cancer Genome Atlas Research Network. Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. Cancer Cell 2010; 17(5): 510–522
https://doi.org/10.1016/j.ccr.2010.03.017 pmid: 20399149
14 Bell D BA, Birrer M, Chien J, Cramer D, Dao F, Dhir R, DiSaia P, Gabra H, Glenn P, Godwin A, Gross J, Hartmann L, Huang M, Huntsman D, Iacocca M, Imielinski M, Kalloger S, Karlan B, Levine D, Mills G, Morrison C, Mutch D, Olvera N, Orsulic S, Park K, Petrelli N, Rabeno B, Rader J, Sikic B, Smith-McCune K, Sood A, Bowtell D, Penny R, Testa J, Chang K, Dinh H, Drummond J, Fowler G, Gunaratne P, Hawes A, Kovar C, Lewis L, Morgan M, Newsham I, Santibanez J, Reid J, Trevino L, Wu Y-, Wang M, Muzny D, Wheeler D, Gibbs R, Getz G, Lawrence M, Cibulskis K, Sivachenko A, Sougnez C, Voet D, Wilkinson J, Bloom T, Ardlie K, Fennell T, Baldwin J, Gabriel S, Lander E, Ding LL, Fulton R, Koboldt D, McLellan M, Wylie T, Walker J, O'Laughlin M, Dooling D, Fulton L, Abbott R, Dees N, Zhang Q, Kandoth C, Wendl M, Schierding W, Shen D, Harris C, Schmidt H, Kalicki J, Delehaunty K, Fronick C, Demeter R, Cook L, Wallis J, Lin L, Magrini V, Hodges J, Eldred J, Smith S, Pohl C, Vandin F, Raphael B, Weinstock G, Mardis E, Wilson R, Meyerson M, Winckler W, Getz G, Verhaak R, Carter S, Mermel C, Saksena G, Nguyen H, Onofrio R, Lawrence M, Hubbard D, Gupta S, Crenshaw A, Ramos A, Ardlie K, Chin L, Protopopov A, Zhang J, Kim T, Perna I, Xiao Y, Zhang H, Ren G, Sathiamoorthy N, Park R, Lee E, Park P, Kucherlapati R, Absher M, Waite L, Sherlock G, Brooks J, Li J, Xu J, Myers R, Laird PW, Cope L, Herman J, Shen H, Weisenberger D, Noushmehr H, Pan F, Triche T Jr, Berman B, Van Den Berg D, Buckley J, Baylin S, Spellman P, Purdom E, Neuvial P, Bengtsson H, Jakkula L, Durinck S, Han J, Dorton S, Marr H, Choi Y, Wang V, Wang N, Ngai J, Conboy J, Parvin B, Feiler H, Speed T, Gray J, Levine A, Socci N, Liang Y, Taylor B, Schultz N, Borsu L, Lash A, Brennan C, Viale A, Sander C, Ladanyi M, Hoadley K, Meng S, Du Y, Shi Y, Li L, Turman Y, Zang D, Helms E, Balu S, Zhou X, Wu J, Topal M, Hayes D, Perou C, Getz G, Voet D, Saksena G, Zhang J, Zhang H, Wu C, Shukla S, Cibulskis K, Lawrence M, Sivachenko A, Jing R, Park R, Liu Y, Park P, Noble M, Chin L, Carter H, Kim D, Karchin R, Spellman P, Purdom E, Neuvial P, Bengtsson H, Durinck S, Han J, Korkola J, Heiser L, Cho R, Hu Z, Parvin B, Speed T, Gray J, Schultz N, Cerami E, Taylor B, Olshen A, Reva B, Antipin Y, Shen R, Mankoo P, Sheridan R, Ciriello G, Chang W, Bernanke J, Borsu L, Levine D, Ladanyi M, Sander C, Haussler D, Benz C, Stuart J, Benz S, Sanborn J, Vaske C, Zhu J, Szeto C, Scott G, Yau C, Hoadley K, Du Y, Balu S, Hayes D, Perou C, Wilkerson M, Zhang N, Akbani R, Baggerly K, Yung W, Mills G, Weinstein J, Penny R, Shelton T, Grimm D, Hatfield M, Morris S, Yena P, Rhodes P, Sherman M, Paulauskis J, Millis S, Kahn A, Greene J, Sfeir R, Jensen M, Chen J, Whitmore J, Alonso S, Jordan J, Chu A, Zhang J, Barker A, Compton C, Eley G, Ferguson M, Fielding P, Gerhard D, Myles R, Schaefer C, Mills Shaw K, Vaught J, Vockley J, Good P, Guyer M, Ozenberger B, Peterson J, Thomson E. Integrated genomic analyses of ovarian carcinoma. Nature 2011; 474(7353): 609–615
15 Guo P, Luo Y, Mai G, Zhang M, Wang G, Zhao M, Gao L, Li F, Zhou F. Gene expression profile based classification models of psoriasis. Genomics 2014; 103(1): 48–55
https://doi.org/10.1016/j.ygeno.2013.11.001 pmid: 24239985
16 Ainali C, Valeyev N, Perera G, Williams A, Gudjonsson JE, Ouzounis CA, Nestle FO, Tsoka S. Transcriptome classification reveals molecular subtypes in psoriasis. BMC Genomics 2012; 13(1): 472
https://doi.org/10.1186/1471-2164-13-472 pmid: 22971201
17 Jaradat SW, Cubillos S, Krieg N, Lehmann K, Issa B, Piehler S, Wehner-Diab S, Hipler UC, Norgauer J. Low DEFB4 copy number and high systemic hBD-2 and IL-22 levels are associated with dermatophytosis. J Invest Dermatol 2015; 135(3): 750–758
https://doi.org/10.1038/jid.2014.369 pmid: 25178103
18 Hollox EJ, Huffmeier U, Zeeuwen PL, Palla R, Lascorz J, Rodijk-Olthuis D, van de Kerkhof PC, Traupe H, de Jongh G, den Heijer M, Reis A, Armour JA, Schalkwijk J. Psoriasis is associated with increased β-defensin genomic copy number. Nat Genet 2008; 40(1): 23–25
https://doi.org/10.1038/ng.2007.48 pmid: 18059266
19 Prans E, Kingo K, Traks T, Silm H, Vasar E, Kõks S. Copy number variations in IL22 gene are associated with psoriasis vulgaris. Hum Immunol 2013; 74(6): 792–795
https://doi.org/10.1016/j.humimm.2013.01.006 pmid: 23395647
20 Li M, Wu Y, Chen G, Yang Y, Zhou D, Zhang Z, Zhang D, Chen Y, Lu Z, He L, Zheng J, Liu Y. Deletion of the late cornified envelope genes LCE3C and LCE3B is associated with psoriasis in a Chinese population. J Invest Dermatol 2011; 131(8): 1639–1643
https://doi.org/10.1038/jid.2011.86 pmid: 21509048
21 Zhou F, Shen C, Xu J, Gao J, Zheng X, Ko R, Dou J, Cheng Y, Zhu C, Xu S, Tang X, Zuo X, Yin X, Cui Y, Sun L, Tsoi LC, Hsu YH, Yang S, Zhang X. Epigenome-wide association data implicates DNA methylation-mediated genetic risk in psoriasis. Clin Epigenetics 2016; 8(1): 131
https://doi.org/10.1186/s13148-016-0297-z pmid: 27980695
22 Monti STP, Mesirov J, Golub T. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Mach Learn 2003; 52(1/2): 91–118
https://doi.org/10.1023/A:1023949509487
23 Wilkerson MD, Hayes DN. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics 2010; 26(12): 1572–1573
https://doi.org/10.1093/bioinformatics/btq170 pmid: 20427518
24 Rousseeuw PJ. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 1987; 20: 53–65
https://doi.org/10.1016/0377-0427(87)90125-7
25 Kaufman LRP. Finding Groups in Data: an Introduction to Cluster Analysis . New York: John Wiley & Sons, Inc., 1990
26 Hellgren O, Sheldon BC. Locus-specific protocol for nine different innate immune genes (antimicrobial peptides: β-defensins) across passerine bird species reveals within-species coding variation and a case of trans-species polymorphisms. Mol Ecol Resour 2011; 11(4): 686–692
https://doi.org/10.1111/j.1755-0998.2011.02995.x pmid: 21676198
27 Sabat R, Ouyang W, Wolk K. Therapeutic opportunities of the IL-22-IL-22R1 system. Nat Rev Drug Discov 2014; 13(1): 21–38
https://doi.org/10.1038/nrd4176 pmid: 24378801
28 Pajic P, Lin YL, Xu D, Gokcumen O. The psoriasis-associated deletion of late cornified envelope genes LCE3B and LCE3C has been maintained under balancing selection since Human Denisovan divergence. BMC Evol Biol 2016; 16(1): 265
https://doi.org/10.1186/s12862-016-0842-6 pmid: 27919236
29 Lowes MA, Bowcock AM, Krueger JG. Pathogenesis and therapy of psoriasis. Nature 2007; 445(7130): 866–873
https://doi.org/10.1038/nature05663 pmid: 17314973
30 Farber EM, Nall ML. The natural history of psoriasis in 5,600 patients. Dermatologica 1974; 148(1): 1–18
https://doi.org/10.1159/000251595 pmid: 4831963
31 Boehncke WH, Schön MP. Psoriasis. Lancet 2015; 386(9997): 983–994
https://doi.org/10.1016/S0140-6736(14)61909-7 pmid: 26025581
32 Pollock RA, Abji F, Gladman DD. Epigenetics of psoriatic disease: a systematic review and critical appraisal. J Autoimmun 2017; 78: 29–38
pmid: 27965059
33 Roberson ED, Liu Y, Ryan C, Joyce CE, Duan S, Cao L, Martin A, Liao W, Menter A, Bowcock AM. A subset of methylated CpG sites differentiate psoriatic from normal skin. J Invest Dermatol 2012; 132(3 Pt 1): 583–592
https://doi.org/10.1038/jid.2011.348 pmid: 22071477
34 Fan X, Yang S, Sun LD, Liang YH, Gao M, Zhang KY, Huang W, Zhang X. Comparison of clinical features of HLA-Cw*0602-positive and -negative psoriasis patients in a Han Chinese population. Acta Derm Venereol 2007; 87(4): 335–340
https://doi.org/10.2340/00015555-0253 pmid: 17598037
35 Queiro R, Tejón P, Alonso S, Coto P. Age at disease onset: a key factor for understanding psoriatic disease. Rheumatology (Oxford) 2014; 53(7): 1178–1185
https://doi.org/10.1093/rheumatology/ket363 pmid: 24273020
36 Richer V, Roubille C, Fleming P, Starnino T, McCourt C, McFarlane A, Siu S, Kraft J, Lynde C, Pope JE, Keeling S, Dutz J, Bessette L, Gulliver WP, Haraoui B, Bissonnette R. Psoriasis and smoking: a systematic literature review and meta-analysis with qualitative analysis of effect of smoking on psoriasis severity. J Cutan Med Surg 2016; 20(3): 221–227
https://doi.org/10.1177/1203475415616073 pmid: 26553732
37 Armstrong AW, Armstrong EJ, Fuller EN, Sockolov ME, Voyles SV. Smoking and pathogenesis of psoriasis: a review of oxidative, inflammatory and genetic mechanisms. Br J Dermatol 2011; 165(6): 1162–1168
https://doi.org/10.1111/j.1365-2133.2011.10526.x pmid: 21777217
38 Stuart PE, Hüffmeier U, Nair RP, Palla R, Tejasvi T, Schalkwijk J, Elder JT, Reis A, Armour JAL. Association of β-defensin copy number and psoriasis in three cohorts of European origin. J Invest Dermatol 2012; 132(10): 2407–2413
https://doi.org/10.1038/jid.2012.191 pmid: 22739795
39 Hüffmeier U, Bergboer JG, Becker T, Armour JA, Traupe H, Estivill X, Riveira-Munoz E, Mössner R, Reich K, Kurrat W, Wienker TF, Schalkwijk J, Zeeuwen PL, Reis A. Replication of LCE3C-LCE3B CNV as a risk factor for psoriasis and analysis of interaction with other genetic risk factors. J Invest Dermatol 2010; 130(4): 979–984
https://doi.org/10.1038/jid.2009.385 pmid: 20016497
40 Coin LJ, Cao D, Ren J, Zuo X, Sun L, Yang S, Zhang X, Cui Y, Li Y, Jin X, Wang J. An exome sequencing pipeline for identifying and genotyping common CNVs associated with disease with application to psoriasis. Bioinformatics 2012; 28(18): i370–i374
https://doi.org/10.1093/bioinformatics/bts379 pmid: 22962454
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