Chinese Journal of Dermatology ›› 2018, Vol. 51 ›› Issue (9): 658-661.doi: 10.3760/cma.j.issn.0412-4030.2018.09.005

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Pathway-based analysis of genome-wide association study data on severe acne

  

  • Received:2017-12-29 Revised:2018-06-22 Online:2018-09-15 Published:2018-08-30
  • Contact: Li HE E-mail:helikm2662@126.com
  • Supported by:
    National Natural Science Foundation of China;National Natural Science Foundation of China;National Natural Science Foundation of China;National Natural Science Foundation of China;Health Science and Technology Planning Project of Yunnan Province;Doctoral Scientific Research Foundation of Dali University

Abstract: Yang Jiankang, Feng Jiaqi, Zhang Ping, Cao Guangqiong, He Li, Wu Wenjuan School of Basic Medical Sciences, Dali University, Dali 671000, China (Yang JK); Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming 650000, China (Feng JQ, He L, Wu WJ); Center of Health Checkup, First Affiliated Hospital of Kunming Medical University, Kunming 650000, China (Cao GQ); Clinical Laboratory, Qujing First People′s Hospital, Qujing 655000, Yunnan, China (Zhang P) Corresponding authors: He Li, Email: helikm2662@126.com; Wu Wenjuan, Email: wuwj1021@126.com 【Abstract】 Objective To investigate gene pathways associated with severe acne. Methods Kyoto encyclopedia of genes and genomes (KEGG)-based pathway analysis was conducted using the genome-wide association study (GWAS) data on 1 056 patients with severe acne and 1 056 healthy controls,and each testee was tested for 900 015 SNPs. A hypergeometric distribution test was used to analyze the relationship between each pathway and severe acne, and the false discovery rate (FDR) to correct for multiple testing. Any pathway with an adjusted P value of < 0.05 was considered to be associated with severe acne. Results Twelve genes were identified to be associated with severe acne(P < 0.001), including TMPRSS11E, DDB2, RIC1, CLLU1OS, IL3, PLA2G4B, SLC16A14, SOX17, FAHD2A, ENTPD7, MRPL50 and TXLNB. Pathway analysis revealed 5 pathways associated with severe acne (adjusted P < 0.05), including the prolactin signaling pathway, hepatitis C, renal cell carcinoma, high affinity receptor for immunoglobulin E (Fc epsilon RI) signaling pathway, and tyrosine metabolism. Conclusion The 5 identified pathways are associated with severe acne, which affect the endocrine, immune and metabolic processes in the human body.

Key words: Acne vulgaris, Genome-wide association study, Pathway analysis