We sought to test the hypothesis that Polygenic Risk Scores (PRSs) have strong capacity to discriminate cases of ankylosing spondylitis (AS) from healthy controls and individuals in the community with chronic back pain.
PRSs were developed and validated in individuals of European and East Asian ethnicity, using data from genome-wide association studies in 15 585 AS cases and 20 452 controls. The discriminatory values of PRSs in these populations were compared with other widely used diagnostic tests, including C-reactive protein (CRP), and sacroiliac MRI.
In people of European descent, PRS had high discriminatory capacity with area under the curve (AUC) in receiver operator characteristic analysis of 0.924. This was significantly better than for testing alone (AUC=0.869), MRI (AUC=0.885) or C-reactive protein (AUC=0.700). PRS developed and validated in individuals of East Asian descent performed similarly (AUC=0.948). Assuming a prior probability of AS of 10% such as in patients with chronic back pain under 45 years of age, compared with testing alone, PRS provides higher positive values for 35% of patients and negative predictive values for 67.5% of patients. For PRS, in people of European descent, the maximum positive predictive value was 78.2% and negative predictive value was 100%, whereas for these values were 51.9% and 97.9%, respectively.
PRS have higher discriminatory capacity for AS than CRP, sacroiliac MRI or status alone. For optimal performance, PRS should be developed for use in the specific ethnic groups to which they are to be applied.
© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.
About The Expert
Zhixiu Li
Xin Wu
Paul J Leo
Erika De Guzman
Nurullah Akkoc
Maxime Breban
Gary J Macfarlane
Mahdi Mahmoudi
Helena Marzo-Ortega
Lisa K Anderson
Lawrie Wheeler
Chung-Tei Chou
Andrew A Harrison
Simon Stebbings
Gareth T Jones
So-Young Bang
Geng Wang
Ahmadreza Jamshidi
Elham Farhadi
Jing Song
Li Lin
Mengmeng Li
James Cheng-Chung Wei
Nicholas G Martin
Margaret J Wright
MinJae Lee
Yuqin Wang
Jian Zhan
Jin-San Zhang
Xiaobing Wang
Zi-Bing Jin
Michael H Weisman
Lianne S Gensler
Michael M Ward
Mohammad Hossein Rahbar
Laura Diekman
Tae-Hwan Kim
John D Reveille
Bryan Paul Wordsworth
Huji Xu
Matthew A Brown
References
PubMed