DNA methylation-based subclassification of psoriasis in the Chinese Han population

Fusheng Zhou , Changbing Shen , Yi-Hsiang Hsu , Jing Gao , Jinfa Dou , Randy Ko , Xiaodong Zheng , Liangdan Sun , Yong Cui , Xuejun Zhang

Front. Med. ›› 2018, Vol. 12 ›› Issue (6) : 717 -725.

PDF (434KB)
Front. Med. ›› 2018, Vol. 12 ›› Issue (6) : 717 -725. DOI: 10.1007/s11684-017-0588-6
RESEARCH ARTICLE
RESEARCH ARTICLE

DNA methylation-based subclassification of psoriasis in the Chinese Han population

Author information +
History +
PDF (434KB)

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

Cite this article

Download citation ▾
Fusheng Zhou, Changbing Shen, Yi-Hsiang Hsu, Jing Gao, Jinfa Dou, Randy Ko, Xiaodong Zheng, Liangdan Sun, Yong Cui, Xuejun Zhang. DNA methylation-based subclassification of psoriasis in the Chinese Han population. Front. Med., 2018, 12(6): 717-725 DOI:10.1007/s11684-017-0588-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Nestle FO, Kaplan DH, Barker J. Psoriasis. N Engl J Med 2009; 361(5): 496–509

[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

[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

[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

[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

[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

[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

[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

[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

[12]

Raychaudhuri SK, Maverakis E, Raychaudhuri SP. Diagnosis and classification of psoriasis. Autoimmun Rev 2014; 13(4-5): 490–495

[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

[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

[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

[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

[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

[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

[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

[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

[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

[23]

Wilkerson MD, Hayes DN. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics 2010; 26(12): 1572–1573

[24]

Rousseeuw PJ. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 1987; 20: 53–65

[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

[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

[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

[29]

Lowes MA, Bowcock AM, Krueger JG. Pathogenesis and therapy of psoriasis. Nature 2007; 445(7130): 866–873

[30]

Farber EM, Nall ML. The natural history of psoriasis in 5,600 patients. Dermatologica 1974; 148(1): 1–18

[31]

Boehncke WH, Schön MP. Psoriasis. Lancet 2015; 386(9997): 983–994

[32]

Pollock RA, Abji F, Gladman DD. Epigenetics of psoriatic disease: a systematic review and critical appraisal. J Autoimmun 2017; 78: 29–38

[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

[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

[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

[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

[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

[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

[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

[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

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (434KB)

Supplementary files

FMD-17073-OF-ZFS_suppl_1

1842

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/