Purpose: There is a need to identify patients that experience the rapid progressive phenotype of Osteoarthritis (RPOA) to include them in clinical trials and to implement prevention strategies. During the last years, nuclear single nucleotide polymorphisms (SNPs) have been associated with both susceptibility and progression of the disease, but not with the rapid progression phenotype. Our aim is to analyze the influence of previously knee OA-associated nuclear SNPs on the risk of RPOA of the knee in patients of the OAI. Methods: We selected Caucasian patients from the OAI that were subsequently assigned into three different groups (252 patients each) based on the following criteria: i) rapid progressors, with baseline KL grade 0, 1 in at least one knee and increase up to KL≥ 3 during 48-month follow-up period; or baseline KL grade 2 in at least one knee and increase up to KL 4 or total knee replacement (TKR) during the follow-up. ii) no-rapid progressors, with baseline KL grade 0, 1 in at least one knee and increase up to KL 2 during 48-month follow-up period; or baseline KL grade 2 in at least one knee and increase up to KL 3 during the follow-up. iii) no-progressors, with KL grade 0, 1 or 2 at baseline in at least one knee and bilaterally stable during 48-month follow-up period. Additionally, these groups were re-categorized into two groups: non-progressors and progressors (pooling no-rapid and rapid progressors). Preliminary chi-square analyses and binary and multinomial logistic regression models adjusted by gender, age, body mass index (BMI), contralateral OA, previous injury in target knee and WOMAC pain, were performed. Nuclear SNPs were previously assigned using mini-sequencing techniques. The analyses were performed using IBM SPSS Statistics v24. Results: In this study we analyzed the effect of 7 SNPs that had been strongly associated with knee OA susceptibility in different GWAS studies: rs11177, rs4730250, rs11842874, rs12107036, rs8044769, rs10948172 and rs143383. Chi-square analyses showed that the frequency distribution of rs12107036 was significantly different between groups (p=0,028), being the GG genotype over-represented in the rapid-progressors group and the AA genotype in the non-progressors group (Figure 1). The binary logistic regression showed that G allele appeared significantly over-represented in the (pooled) progressors group when compared with non-progressors (OR 1,682; 95% CI: 1,148-2,463; p=0,008), regardless of gender (OR 2,049; 95% CI 1,478-2,842; p <0,001), BMI (OR 1,085; 95% CI 1,044-1,127; p<0,001), contralateral knee OA (OR 1,400; 95% CI 1,009-1,942; p=0,044), previous injury (OR 1,723; 95% CI 1,223-2,429; p=0,002) and WOMAC pain (OR 1,102; 95% CI 1,033-1,177; p=0,003) (Table 1). On the other hand the multinomial logistic regression showed that, in addition to age (OR 1,064; 95% CI: 1,041-1,088; p<0,001) and previous injury in target knee (OR 1,523; 95% CI: 1,047-2,216; p=0,028), the GG genotype (OR 1,574; 95% CI: 1,039-2,382; p=0,032) emerged as a potential risk factor for the rapid progression phenotype when compared with non-rapid progressors (Table 2). Conclusions: The G allele of the nuclear SNP rs12107036 increases the risk of knee OA progression. Depending on the number of copies of the risk allele the level of progression increases, being the GG genotype a risk factor for the rapidly progressive phenotype of the knee. The assignment of this nuclear polymorphism could be useful as complementary genetic biomarker for the early identification of this OA phenotype.View Large Image Figure ViewerDownload Hi-res image Download (PPT)View Large Image Figure ViewerDownload Hi-res image Download (PPT)