Genetic Studies Investigating Susceptibility to Psoriatic Arthritis: A Narrative Review

Mehreen Soomro, Ryan Hum, Anne Barton, John Bowes

Research output: Contribution to journalReview articlepeer-review

Abstract

Purpose: Approximately 30% of patients with psoriasis will develop psoriatic arthritis (PsA), leading to a de- creased quality of life for the patient caused by increasing disability and additional health complications. The identification of risk factors for the development of PsA would facilitate the development of risk prediction mod- els in which patients with psoriasis at high risk of developing PsA could be targeted in a stratified medicine approach, enabling early intervention and treatment. PsA is known to have a genetic contribution to susceptibil- ity, and the identification of genetic risk factors that differentiate PsA from cutaneous-only psoriasis is a key area of research. This narrative review summarizes the discovery of genetic risk factors and, with the aid of a primer on risk prediction models, discusses their potential role for the classification of PsA risk and diagnosis.

Methods: All relevant research articles were identified through searches of the PubMed database for literature published up until December 2022. Search terms included psoriatic arthritis, genetic susceptibility, genetic association, genome-wide association study, GWAS, prediction, and polygenic risk score.

Findings: The current literature reveals considerable overlap between the genetic susceptibility loci for PsA and psoriasis. Several PsA-specific genetic risk factors have been reported, and most notably these implicate the HLA- B and IL23R genes. Efforts to include genetic risk factors in prediction models for the development of PsA have reported good discrimination.

Implications: Key messages emerging from this narrative are as follows: the limited number of PsA-specific sus- ceptibility loci reported to date suggest larger studies are required, facilitated by international collaboration, to achieve the power to detect further genetic factors; the early promising results for genetic-based risk prediction require further validation in independent
Original languageEnglish
JournalClinical Therapeutics
Early online date27 Jul 2023
DOIs
Publication statusE-pub ahead of print - 27 Jul 2023

Keywords

  • Genetic studies
  • Psoriasis
  • Psoriatic arthritis
  • Risk prediction

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