Osteoarthritis (OA) is the most common form of arthritis and one of the ten most disabling diseases in developed countries. Total joint replacement (TJR) is considered by far as the most effective treatment for end-stage OA patients. The majority of patients achieve symptomatic improvement following TJR. However, about 22% of the TJR patients either do not improve or deteriorate after surgery. Several potential non-genetic predictors for the TJR outcome have been investigated. However, the results were either inconclusive or had very limited predictive power. The aim of this study was to identify genetic variants for the poor outcome of TJR in primary OA patients by a genome-wide association study (GWAS). Study participants were total knee or hip replacement patients due to primary OA who were recruited to the Newfoundland Osteoarthritis Study (NFOAS) before 2017. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to assess pain and functional impairment pre- and 3.99±1.38 years post-surgery. Two non-responder classification criteria were used in our study. One was defined by an absolute WOMAC change score. Participants with a change score less than 7/20 points for pain were considered as pain non-responders; and those with less than 22/68 points for function were classified as function non-responders. The second one was the Outcome Measures in Arthritis Clinical Trials and the Osteoarthritis Research Society International (OMERACT-OARSI) criteria. Blood DNA samples were genotyped using the Illumina GWAS microarrays genotyping platform. The quality control (QC) filtering was performed on GWAS data before the association of the genetic variants with non-responders to TJR was tested using the GenABEL package in R with adjustment for the relatedness of the study population and using the commonly accepted GWAS significance threshold p < 5*10−8 to control multiple testing. In total, 316 knee and 122 hip OA patients (mean age 65.45±7.62 years, and 58% females) passed the QC check. These study participants included 368 responders and 56 non-responders to pain, and 364 responders and 68 non-responders to function based on the absolute WOMAC point score change classification. While 377 responders and 56 non-responders to pain, and 366 responders and 71 non-responders to function were identified by the OMERACT-OARSI classification criteria. Interestingly, the same results were obtained by both classification methods, and we found that the G allele of rs4797006 was significantly associated with pain non-responders with odds ratio (OR) of 5.12 (p<7.27×10-10). This SNP is in intron one of the melanocortin receptor 5 ( Our data suggested that two chromosomal regions are associated with TJR poor outcomes and could be the novel targets for developing strategies to improve the outcome of the TJR.
Total joint replacement (TJR) is by far the most effective therapy for end-stage OA patients. Most of patients achieve joint pain reduction and function improvement following to TJR, however up to 22% of them either do not improve or deteriorate after surgery. The aim of this study was to identify genetic variants to be associated with poor outcome of TJR in primary OA patients by a genome-wide association approach (GWAS). Study participants were primary OA patients from the Newfoundland Osteoarthritis Study (NFOAS) that comprised total knee or hip replacement and recruited before 2016 in St. John's, NL. DNA samples were extracted from patients' blood. Study participants completed their pre-operation and 3.99±1.38 years post-surgery outcome assessment using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). DNA samples were genotyped using the genome-wide Illumina HumanOmni2.58 genotyping microarray containing 2.4 million SNPs. Pre-association quality control filtering was conducted for the raw genotyping data using PLINK 1.7 program, and genotype imputation was performed using the IMPUTE2 algorithm with multiple population reference data from 1000 Genome Project. The imputed data with ∼3.1 million variants was used to test the association with non-responders to TJR using the additive genetic model. Eighty three primary OA patients (44 responders and 39 non-responders) were included in the analysis. Association analysis detected three chromosomal regions on chr5, 7, and 8 to be significantly associated with non-responding to pain. The top SNPs at these loci are intergenic variants that include SNP (rs17118094, p=4.4×10-5) on chr5. This SNP is adjacent to SGCD gene that plays an important role in muscular strength and maintenance. Another associated SNP (rs71572810, p=4.7×10-5) is nearby IMMP2L gene on chr7. This gene is reported to be associated with behavioral abnormalities. Finally, SNP (rs6992938, p=5.8×10-5) on chr8 is located downstream of TRPA1 gene that is known to have a central role in the pain response to endogenous inflammatory mediators. Three loci were also found to be significantly associated with non-responding to function. The lead variant in the locus on chr1 is an intergenic SNP (rs9729377, p=1.7×10-5) falling between CTBS and MCOLN2 genes. CTBS gene is associated with TNF-α, a cytokine that stimulate the inflammation acute phase reaction, and MCOLN2 gene plays a role in the chemokine secretion and macrophage migration in the innate immune response. Other top SNPs in loci on chr2 and 10 harbor CCDC93, INSIG2, and KLF6 genes that are associated with heel bone mineral density, hypercholesterolemia, obesity and BMI. To our knowledge, this project is the first study that investigated the association between genetic factors and TJR non-responders. Our results demonstrated that genes related to muscle strength, behavioral trait, pain response, and inflammation play a significant role in poor outcome of TJR, warranting further investigation.
While total joint replacement (TJR) is considered as an effective intervention to relieve pain and restore joint function for end-stage osteoarthritis (OA) patients, a significant proportion of the patients are dissatisfied with their surgery outcomes. The aim of this study was to identify genetic factors that can predict patients who do or do not benefit from these surgical procedures by a genome-wide association study (GWAS). Study participants were derived from the Newfoundland Osteoarthritis Study (NFOAS) which consisted of 1086 TJR patients. Non-responders to TJR was defined as patients who did not reach the minimum clinically important difference (MCID) based on the self administered Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) in terms of pain reduction or function improvment. DNA was extracted from the blood samples of the study participants and genotyped by Illumina GWAS genotyping platform. Over two million single nucleotide polymorphisms (SNPs) across the genome were genotyped and tested for assocition with non-responders. 39 non-responders and 44 age, sex, and BMI matched responders were included in this study. Four chromosome regions on chromosomes 5, 7, 8, and 12 were suggested to be associated with non-responders with p < 1 0–5. The most promising one was on chromosome 5 with the lead SNP rs17118094 (p=1.7×10–6) which can classify 72% of non-responders accurately. The discriminatory power of this SNP alone is very promising as indicated by an area under the curve (AUC) of 0.72 with 95% confidence interval of 0.63 to 0.81, which is much better than any previously studied predictors mentioned above. All the patients who carry two copies of the G allele (minor allele) of rs17118094 were non-responders and 75% of those who carry one copy of the G allele were non-responders. The discriminatory ability of the lead SNPs on chromosomes 7 and 12 were comparable to the one on chromosome 5 with an AUC of 0.74, and 88% of patients who carry two copies of the A allele of rs10244798 on chromosome 7 were non-responders. Similarly, 88% of patients who carry two copies of the C allele of rs10773476 on chromosome 12 were non-responders. While the discriminatory ability of rs9643244 on chromosome 8 was poor with an AUC of 0.26, its strong association with non-responders warrants a further investigation in the region. The study identified four genomic regions harboring genetic factors for non-responders to TJR. The lead SNPs in those regions have great discriminatory ability to predict non-responders and could be used to create a genetic prediction model for clinical unitilty and application.
