Genome-wide association study identifies CDH13 as a susceptibility gene for rhododendrol-induced leukoderma

  • Ken Okamura
  • , Yuko Abe
  • , Izumi Naka
  • , Jun Ohashi
  • , Akiko Yagami
  • , Kayoko Matsunaga
  • , Yui Kobayashi
  • , Kazuyoshi Fukai
  • , Atsushi Tanemura
  • , Ichiro Katayama
  • , Yukiko Masui
  • , Akiko Ito
  • , Toshiharu Yamashita
  • , Hiroshi Nagai
  • , Chikako Nishigori
  • , Naoki Oiso
  • , Yumi Aoyama
  • , Yuta Araki
  • , Toru Saito
  • , Masahiro Hayashi
  • Yutaka Hozumi, Tamio Suzuki

Research output: Contribution to journalArticlepeer-review

Abstract

Racemic RS-4-(4-hydroxyphenyl)-2-butanol (rhododendrol; trade name: Rhododenol [RD]), which is used in topical skin-lightening cosmetics, was unexpectedly reported in Japan to induce leukoderma or vitiligo called RD-induced leukoderma (RIL) after repeated application. To our knowledge, no studies have investigated chemical-induced vitiligo pathogenesis on a genome-wide scale. Here, we conducted a genome-wide association study (GWAS) for 147 cases and 112 controls. CDH13, encoding a glycosylphosphatidylinositol-anchored protein called T-cadherin (T-cad), was identified as the strongest RIL susceptibility gene. RD sensitivity was remarkably increased by T-cad knockdown in cultured normal human melanocytes. Furthermore, we confirmed tyrosinase upregulation and downregulation of the anti-apoptotic molecules (BCL-2 and BCL-XL), suggesting that T-cad is associated with RD via tyrosinase or apoptotic pathway regulation. Finally, monobenzyl ether of hydroquinone sensitivity also tended to increase with T-cad knockdown, suggesting that the T-cad could be a candidate susceptibility gene for RIL and other chemical-induced vitiligo forms. This is the first GWAS for chemical-induced vitiligo, and it could be a useful model for studying the disease's genetic aspects.

Original languageEnglish
Pages (from-to)826-833
Number of pages8
JournalPigment Cell and Melanoma Research
Volume33
Issue number6
DOIs
Publication statusPublished - 01-11-2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Oncology
  • General Biochemistry,Genetics and Molecular Biology
  • Dermatology

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