Association of ADAM12 gene polymorphisms with knee osteoarthritis susceptibility

IL-6 and IL-10 gene polymorphisms and cirrhosis of liver risk from a comprehensive analysis

BACKGROUND

Different inflammatory and immune cytokines play a key role in the development of cirrhosis of liver (CL). To investigate the association between interleukin-6,10 (IL-6,10) genes polymorphisms and CL risk through comparison of the allele and genotype distribution frequencies by meta-analysis.

METHODS

A literature search covered with the PubMed, Embase, Cochrane Library, Web of Science, Google Scholar, SinoMed (CNKI and Wanfang) through 20th April, 2021. Odds ratios (OR) and 95% confidence intervals (CI) were used to assess the strength of associations.

RESULTS

After a comprehensive search, three common polymorphisms (rs1800872, rs1800871, rs1800896) in IL-10 gene were selected, and three common polymorphisms (rs1800795, rs1800796, rs1800797) in IL-6 gene were also identified. The important finding was that IL-10 rs1800872 was a risk factor for CL development. For example, there has a significantly increased relationship between rs1800872 polymorphism and CL both in the whole group (OR: 1.30, 95%CI: 1.01-1.67 in heterozygote model), Asian population (OR: 1.40, 95%CI: 1.03-1.88 in heterozygote model) and hospital-based source of control (OR: 1.40, 95%CI: 1.01-1.96 in dominant model). In addition, significant association was found between rs1800896 and primary biliary cirrhosis subtype disease (OR: 1.30, 95%CI: 1.01-1.68 in allelic contrast model). No association was observed in all three polymorphisms in IL-6 gene.

CONCLUSION

Our present study suggests that the IL-10 rs1800872 and rs1800896 polymorphisms is potentially associated with the risk of CL susceptibility.

CMAX3: A Robust Statistical Test for Genetic Association Accounting for Covariates

The additive genetic model as implemented in logistic regression has been widely used in genome-wide association studies (GWASs) for binary outcomes. Unfortunately, for many complex diseases, the underlying genetic models are generally unknown and a mis-specification of the genetic model can result in a substantial loss of power. To address this issue, the MAX3 test (the maximum of three separate test statistics) has been proposed as a robust test that performs plausibly regardless of the underlying genetic model. However, the original implementation of MAX3 utilizes the trend test so it cannot adjust for any covariates such as age and gender. This drawback has significantly limited the application of the MAX3 in GWASs, as covariates account for a considerable amount of variability in these disorders. In this paper, we extended the MAX3 and proposed the CMAX3 (covariate-adjusted MAX3) based on logistic regression. The proposed test yielded a similar robust efficiency as the original MAX3 while easily adjusting for any covariate based on the likelihood framework. The asymptotic formula to calculate the p-value of the proposed test was also developed in this paper. The simulation results showed that the proposed test performed desirably under both the null and alternative hypotheses. For the purpose of illustration, we applied the proposed test to re-analyze a case-control GWAS dataset from the Collaborative Studies on Genetics of Alcoholism (COGA). The R code to implement the proposed test is also introduced in this paper and is available for free download.

Lack of association between MMP13 (rs3819089), ADAM12 (rs3740199-rs1871054) and ADAMTS14 (rs4747096) genotypes and advanced-stage knee osteoarthritis

Objectives

The aim of this study was to investigate the relationship between MMP13 rs3819089, ADAM12 rs3740199 and rs1871054, and ADAMTS14 rs4747096 genotypes in patients with radiologically diagnosed knee osteoarthritis (OA).

Patients and methods

A total of 300 patients (68 males, 232 females; mean age: 61.6 years; range, 25 to 89 years) who were admitted to the orthopedics and traumatology clinic and diagnosed with knee OA according to the 2000 American College of Rheumatology (ACR) criteria between October 2018 and March 2019 were prospectively analyzed. Patients with Grades III-IV OA according to the Kellgren- Lawrence (K-L) grading system were included in the patient group (n=150) and those without radiological features of knee OA (K-L Grades I-II) were included in the control group (n=150) voluntarily. The presence of single nucleotide polymorphisms (SNPs) in the targeted genes in both groups was assessed by real-time polymerase chain reaction in the peripheral blood sample.

Results

The most common nucleotides in both the control and patient groups were CG for rs3740199 and CT for rs1871054 in the ADAM12 gene, and the most common nucleotides in alleles were GG for MMP13 rs3819089 and AA for ADAMTS14 rs4747096. No statistically significant relationship was detected between the gene polymorphisms and advanced OA.

Conclusion

The study results suggest that ADAM12 rs3740199 and rs1871054, MMP13 rs3819089, and ADAMTS14 rs4747096 polymorphisms have no relationship with knee OA susceptibility in the Turkish population. However, as this is the first study to investigate the relationship between the SNPs of ADAM12, ADAMTS14, and MMP13 genes and the development of OA in the Turkish population, it would contribute to our understanding of the molecular bases of OA.

Association between VEGF gene polymorphisms (11 sites) and polycystic ovary syndrome risk

Vascular endothelial growth factor (VEGF) plays a critical role in ovarian folliculogenesis and normal reproductive function. So far, several studies focusing on association between VEGF gene polymorphisms and polycystic ovary syndrome (PCOS). However, above association between the VEGF gene polymorphisms and PCOS susceptibility is uncertain. Hence, we performed a timely meta-analysis containing all current publications to make clear this relationship. We searched articles from the PubMed, Embase and Chinese language (WanFang and CNKI) databases that were published up until May 10, 2019. Finally, we obtained 9 studies, containing 29 case-control studies and 11 different polymorphisms. The odds ratios (OR) and 95% confidence intervals (CI) were revealed association strengths. There were significantly decreased associations between rs2010963 (-634), +9812, +405 polymorphisms and PCOS risk. Nevertheless, there existed increased associations between rs699947 (-2578), rs833061, rs1570360 (-1154), rs3025020, rs3025039 polymorphisms and PCOS susceptibility. Our current analysis suggested VEGF gene polymorphisms may be associated with PCOS risk, which is possible to be expected to become biomarkers of early detection for women.

Role of SREBP2 gene polymorphism on knee osteoarthritis in the South Indian Hyderabad Population: A hospital based study with G595C variant

Introduction

Osteoarthritis (OA) is a multifactorial disease with genetic factors playing a crucial role, and it has been associated with a family history of obesity. G595C polymorphism in the sterol regulatory element-binding protein 2 (SREBP2) gene has demonstrated an association with knee osteoarthritis (KOA) patients. However, this polymorphism has been never explored in an Indian population. Hence, the current study aimed to examine whether G595C (rs2228314) polymorphism in SREBP2 gene was associated with KOA susceptibility in the South Indian Hyderabad population.

Methods

G595C polymorphism was genotyped with 200 KOA cases and 200 healthy controls using polymerase chain reaction-restriction fragment length polymorphism analysis.

Results

A significant association was observed between age, body mass index (BMI), and family histories in KOA cases and controls (p < 0.05). The current allele (C vs G; OR-2.8 [95%CI = 2.1-3.7]; p < 0.0001) and genotype analysis confirms the significant association with (GC + CC vs GG; OR-3.5 [95%CI = 2.3-5.3]; p < 0.0001 & GC vs GG + CC; OR-1.7 [95%CI = 1.0-2.9]; p = 0.02) KOA vs. control subjects. On stratification analysis, genotype CC and C allele were associated with KOA. Gender association failed to demonstrate positive genotype frequencies (p > 0.05). Multifactor-dimensionality reduction (MDR) analysis showed a positive association with BMI and G595C genotypes (p < 0.05); 51% of the homozygous variant CC genotypes were present in obesity subjects.

Conclusion

In conclusion, our findings suggest that G595C polymorphism in SREBP2 gene is associated with KOA in the South Indian Hyderabad population and presents scope for further investigation of the gene's function in KOA.

The association between rs12885713 polymorphism in CALM1 and risk of osteoarthritis: A meta-analysis of case-control studies

OBJECTIVE

The single nucleotide polymorphism (SNP) rs12885713 of calmodulin 1 gene (CALM1) has been reported to involve in the etiology of osteoarthritis (OA) in several association studies with limited sample size and conflicting results. The purpose of the present systematic review and meta-analysis was to evaluate and synthesize the currently available data on the correlation between rs12885713 and OA susceptibility.

METHODS

Six electronic databases including PubMed, EMBASE, ISI Web of Science, CNETRAL, CNKI, and Wanfang were systematically retrieved to identify relevant observational articles published before October 2017. Summary odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were calculated to indicate the association between CALM1 polymorphism and OA. Risk of bias was assessed through the Newcastle-Ottawa Scale. Predetermined subgroups and sensitivity analyses were performed using the RevMan 5.3 software. Publication bias was evaluated by Egger and Begg tests.

RESULTS

Overall, 5 case-control studies involving 2183 OA patients 2654 healthy control subjects satisfied the meta-analysis. Recessive model was confirmed to be the best-matching genetic model (TT + TC versus CC). The pooled outcomes indicated that rs12885713 SNP was not significantly associated with OA vulnerability (OR 1.11, 95% CI 0.97, 1.27; P = .12). When stratified by different genders, OA sites, and population descents respectively, still non-significant associations were found.

CONCLUSION

Based on the findings of our present study, the rs12885713 polymorphism of CALM1 did not appear to be associated with OA predisposition.