PMID- 32536600
OWN - NLM
STAT- MEDLINE
DCOM- 20210520
LR  - 20221207
IS  - 1873-569X (Electronic)
IS  - 0923-1811 (Linking)
VI  - 99
IP  - 1
DP  - 2020 Jul
TI  - The current landscape of psoriasis genetics in 2020.
PG  - 2-8
LID - S0923-1811(20)30176-6 [pii]
LID - 10.1016/j.jdermsci.2020.05.008 [doi]
AB  - Psoriasis is an immune-mediated disease associated with skin and joint 
      inflammation that affects large proportions of populations worldwide. It is a 
      heritable disease: individuals' genetic backgrounds modulate their 
      susceptibility. In genetics, multiple human leukocyte antigen (HLA) genes are 
      most strongly associated with the risk of psoriasis, especially HLA-C*06:02. In 
      the last 10 years, large-scale genome-wide association studies (GWASs) of 
      psoriasis have been conducted in multiple populations, and these have 
      substantially increased the number of genetic loci associated with psoriasis 
      susceptibility (n > 80). Understanding the genetic background of psoriasis is 
      important for understanding the disease's biology, identifying clinical 
      biomarkers, discovering novel drug targets, and accelerating the journey towards 
      personalized medicine. However, the application of whole-genome and long-read 
      sequencing technology in psoriasis genetic analysis is still developing. 
      Moreover, achieving practical strategies for translating psoriasis 
      risk-associated genetic variants into functional annotations and clinical 
      applications remains challenging. In this review, we detail the current and 
      future landscape of psoriasis genetics and introduce the cutting-edge use of 
      large-scale GWAS data, especially in the Japanese population.
CI  - Copyright (c) 2020 The Author(s). Published by Elsevier B.V. All rights reserved.
FAU - Ogawa, Kotaro
AU  - Ogawa K
AD  - Department of Statistical Genetics, Osaka University Graduate School of Medicine, 
      Suita, Japan; Department of Neurology, Osaka University Graduate School of 
      Medicine, Suita, Japan. Electronic address: kogawa@sg.med.osaka-u.ac.jp.
FAU - Okada, Yukinori
AU  - Okada Y
AD  - Department of Statistical Genetics, Osaka University Graduate School of Medicine, 
      Suita, Japan; Laboratory of Statistical Immunology Frontier Research Center 
      (WPI-IFReC), Osaka University, Suita, Japan; Integrated Frontier Research for 
      Medical Science Division, Institute for Open and Transdisciplinary Research 
      Initiatives, Osaka University, Suita, Japan. Electronic address: 
      yokada@sg.med.osaka-u.ac.jp.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20200528
PL  - Netherlands
TA  - J Dermatol Sci
JT  - Journal of dermatological science
JID - 9011485
RN  - 0 (Biomarkers)
SB  - IM
MH  - Asian People/genetics
MH  - Biomarkers/analysis
MH  - Drug Repositioning
MH  - Genetic Loci/*immunology
MH  - *Genetic Predisposition to Disease
MH  - Genome-Wide Association Study
MH  - Humans
MH  - Japan
MH  - Molecular Targeted Therapy/methods
MH  - Polymorphism, Single Nucleotide
MH  - Precision Medicine/*methods
MH  - Psoriasis/diagnosis/drug therapy/*genetics/immunology
MH  - Skin/immunology/pathology
MH  - Whole Genome Sequencing
OTO - NOTNLM
OT  - HLA
OT  - Mendelian randomization
OT  - drug repositioning
OT  - genome-wide association study
OT  - psoriasis
COIS- Declaration of Competing Interest The authors have no conflicts of interest to 
      declare.
EDAT- 2020/06/17 06:00
MHDA- 2021/05/21 06:00
CRDT- 2020/06/16 06:00
PHST- 2020/03/13 00:00 [received]
PHST- 2020/05/19 00:00 [revised]
PHST- 2020/05/20 00:00 [accepted]
PHST- 2020/06/17 06:00 [pubmed]
PHST- 2021/05/21 06:00 [medline]
PHST- 2020/06/16 06:00 [entrez]
AID - S0923-1811(20)30176-6 [pii]
AID - 10.1016/j.jdermsci.2020.05.008 [doi]
PST - ppublish
SO  - J Dermatol Sci. 2020 Jul;99(1):2-8. doi: 10.1016/j.jdermsci.2020.05.008. Epub 
      2020 May 28.