Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients [Elektronisk resurs]

• Psoriatic arthritis (PsA) is a complex chronic musculoskeletal condition that occurs in similar to 30% of psoriasis patients. Currently, no systematic strategy is available that utilizes the differences in genetic architecture between PsA and cutaneous-only psoriasis (PsC) to assess PsA risk before symptoms appear. Here, we introduce a computational pipeline for predicting PsA among psoriasis patients using data from six cohorts with amp;gt;7000 genotyped PsA and PsC patients. We identify 9 new loci for psoriasis or its subtypes and achieve 0.82 area under the receiver operator curve in distinguishing PsA vs. PsC when using 200 genetic markers. Among the top 5% of our PsA prediction we achieve amp;gt;90% precision with 100% specificity and 16% recall for predicting PsA among psoriatic patients, using conditional inference forest or shrinkage discriminant analysis. Combining statistical and machine-learning techniques, we show that the underlying genetic differences between psoriasis subtypes can be used for individualized subtype risk assessment. 

Ämnesord

Medical and Health Sciences  (hsv)

Clinical Medicine  (hsv)

Urology and Nephrology  (hsv)

Medicin och hälsovetenskap  (hsv)

Klinisk medicin  (hsv)

Urologi och njurmedicin  (hsv)

Genre

government publication  (marcgt)