Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic score
Authors' conclusion
This study showed that multi-trait PRS based on MTAG, combined with traditional risk factors, and using large sample size multi-population GWAS, significantly improved predictive accuracy for knee OA in the Japanese population, even when the sample size of GWAS of the same ancestry was small.
Study context
- Population
- Japanese participants of the Nagahama cohort study who underwent radiographic evaluation of the knees2,852 genotyped in polygenic risk score (PRS) analysis
- Participants
- 3,279 participants
- Comparison
- PRS from Japanese knee osteoarthritis (OA) genome-wide association study (GWAS) vs multi-population knee OA GWAS vs multi-trait analysis of GWAS (MTAG)-based multi-trait PRS
- Outcome
- Association of PRS with knee OA
Methodological detailspolygenic risk score (PRS-CS-auto), multi-trait analysis of GWAS (MTAG), Nagahama cohort study
- Polygenic risk score (PRS-CS-auto)
- Multi-trait analysis of GWAS (MTAG)
- Nagahama cohort study
Performance
As reported in the abstract
Association with knee OA
| Test or model | p | OR per SD | OR |
|---|---|---|---|
| Japanese PRS | p = 0.228 | ||
| Multi-population PRS | p = 6.7 × 10-5 | 1.19 | |
| MTAG PRS | p = 5.4 × 10-7 | 1.24 |
p
Japanese PRSp = 0.228
Multi-population PRSp = 6.7 × 10-5
MTAG PRSp = 5.4 × 10-7
OR per SD
Japanese PRS— not stated in the abstract
Multi-population PRS1.19
MTAG PRS— not stated in the abstract
OR
Japanese PRS— not stated in the abstract
Multi-population PRS— not stated in the abstract
MTAG PRS1.24
Further findings
| Outcome | AUC | P value |
|---|---|---|
| Predictive ability (AUC) of traditional risk factors with vs without MTAG PRS | 74.4% to 74.7% | P = 0.029 |
Original publication
Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic score. Arthritis Res Ther. Published 12 June 2023. doi:10.
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