Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients

Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients

Approximately 30% of psoriasis patients develop psoriatic arthritis (PsA) and early diagnosis is crucial for the management of PsA. Here, Patrick et al. develop a computational pipeline involving statistical and machine-learning methods that can assess the risk of progression to PsA based on genetic...

Full description

Saved in:
Bibliographic Details
Main Authors: Matthew T. Patrick, Philip E. Stuart, Kalpana Raja, Johann E. Gudjonsson, Trilokraj Tejasvi, Jingjing Yang, Vinod Chandran, Sayantan Das, Kristina Callis-Duffin, Eva Ellinghaus, Charlotta Enerbäck, Tõnu Esko, Andre Franke, Hyun M. Kang, Gerald G. Krueger, Henry W. Lim, Proton Rahman, Cheryl F. Rosen, Stephan Weidinger, Michael Weichenthal, Xiaoquan Wen, John J. Voorhees, Gonçalo R. Abecasis, Dafna D. Gladman, Rajan P. Nair, James T. Elder, Lam C. Tsoi
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Science
Q
Online Access:https://doaj.org/article/f67954f1b8fa41a1be488a5ddddc158b
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/f67954f1b8fa41a1be488a5ddddc158b

Similar Items