A common variant within the HNF1B gene is associated with overall survival of multiple myeloma patients: results from the IMMEnSE consortium and meta-analysis

Diabetogenic single nucleotide polymorphisms (SNPs) have recently been associated with multiple myeloma (MM) risk but their impact on overall survival (OS) of MM patients has not been analysed yet. In order to investigate the impact of 58 GWAS-identified variants for type 2 diabetes (T2D) on OS of patients with MM, we analysed genotyping data of 936 MM patients collected by the International Multiple Myeloma rESEarch (IMMENSE) consortium and an independent set of 700 MM patients recruited by the University Clinic of Heidelberg. A meta-analysis of the cox regression results of the two sets showed that rs7501939 located in the HNF1B gene negatively impacted OS (HRRec = 1.44, 95% CI = 1.18-1.76, P = 0.0001). The meta-analysis also showed a noteworthy gender-specific association of the SLC30A8(rs13266634) SNP with OS. The presence of each additional copy of the minor allele at rs13266634 was associated with poor OS in men whereas no association was seen in women (HRMen-Add = 1.32, 95% CI 1.13-1.54, P = 0.0003). In conclusion, these data suggest that the HNF1B(rs7501939) SNP confers poor OS in patients with MM and that a SNP in SLC30A8 affect OS in men.This work was supported by grants from the FIBAO foundation (Granada, Spain), from the CRIS foundation against cancer, from the Cancer Network of Excellence (RD12/10 Red de Cáncer), from the Instituto de Salud Carlos III (Madrid, Spain; PI12/02688) and from the Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]).FIBAO foundation (Granada, Spain), from the CRIS foundation against cancer, from the Cancer Network of Excellence (RD12/10 Red de Cáncer), from the Instituto de Salud Carlos III (Madrid, Spain; PI12/02688) and from the Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]info:eu-repo/semantics/publishedVersio

Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium

Type 2 diabetes (T2D) has been suggested to be a risk factor for multiple myeloma (MM), but the relationship between the two traits is still not well understood. The aims of this study were to evaluate whether 58 genome-wide-association-studies (GWAS)-identified common variants for T2D influence the risk of developing MM and to determine whether predictive models built with these variants might help to predict the disease risk. We conducted a case–control study including 1420 MM patients and 1858 controls ascertained through the International Multiple Myeloma (IMMEnSE) consortium. Subjects carrying the KCNQ1rs2237892T allele or the CDKN2A-2Brs2383208G/G, IGF1rs35767T/T and MADDrs7944584T/T genotypes had a significantly increased risk of MM (odds ratio (OR)=1.32–2.13) whereas those carrying the KCNJ11rs5215C, KCNJ11rs5219T and THADArs7578597C alleles or the FTOrs8050136A/A and LTArs1041981C/C genotypes showed a significantly decreased risk of developing the disease (OR=0.76–0.85). Interestingly, a prediction model including those T2D-related variants associated with the risk of MM showed a significantly improved discriminatory ability to predict the disease when compared to a model without genetic information (area under the curve (AUC)=0.645 vs AUC=0.629; P=4.05×10-06). A gender-stratified analysis also revealed a significant gender effect modification for ADAM30rs2641348 and NOTCH2rs10923931 variants (Pinteraction=0.001 and 0.0004, respectively). Men carrying the ADAM30rs2641348C and NOTCH2rs10923931T alleles had a significantly decreased risk of MM whereas an opposite but not significant effect was observed in women (ORM=0.71 and ORM=0.66 vs ORW=1.22 and ORW=1.15, respectively). These results suggest that TD2-related variants may influence the risk of developing MM and their genotyping might help to improve MM risk prediction models.This work was supported by grants from the FIBAO foundation (Granada, Spain) and the CRIS foundation against cancer, from the Cancer Network of Excellence (RD12/10 Red de Cancer) and from the Instituto de Salud Carlos III (Madrid, Spain; PI12/02688)

Gender-Specific Effects of Genetic Variants within Th1 and Th17 Cell-Mediated Immune Response Genes on the Risk of Developing Rheumatoid Arthritis

The present study was conducted to explore whether single nucleotide polymorphisms (SNPs) in Th1 and Th17 cell-mediated immune response genes differentially influence the risk of rheumatoid arthritis (RA) in women and men. In phase one, 27 functional/tagging polymorphisms in C-type lectins and MCP-1/CCR2 axis were genotyped in 458 RA patients and 512 controls. Carriers of Dectin-2(rs4264222T) allele had an increased risk of RA (OR = 1.47, 95% CI 1.10-1.96) whereas patients harboring the DC-SIGN(rs4804803G), MCP-1(rs1024611G), MCP-1(rs13900T) and MCP-1(rs4586C) alleles had a decreased risk of developing the disease (OR = 0.66, 95% CI 0.49-0.88; OR = 0.66, 95% CI 0.50-0.89; OR = 0.73, 95% CI 0.55-0.97 and OR = 0.68, 95% CI 0.51-0.91). Interestingly, significant gender-specific differences were observed for Dectin-2(rs4264222) and Dectin-2(rs7134303): women carrying the Dectin-2(rs4264222T) and Dectin-2(rs7134303G) alleles had an increased risk of RA (OR = 1.93, 95% CI 1.34-2.79 and OR = 1.90, 95% CI 1.29-2.80). Also five other SNPs showed significant associations only with one gender: women carrying the MCP-1(rs1024611G), MCP-1(rs13900T) and MCP-1(rs4586C) alleles had a decreased risk of RA (OR = 0.61, 95% CI 0.43-0.87; OR = 0.67, 95% CI 0.47-0.95 and OR = 0.60, 95% CI 0.42-0.86). In men, carriers of the DC-SIGN(rs2287886A) allele had an increased risk of RA (OR = 1.70, 95% CI 1.03-2.78), whereas carriers of the DC-SIGN(rs4804803G) had a decreased risk of developing the disease (OR = 0.53, 95% CI 0.32-0.89). In phase 2, we genotyped these SNPs in 754 RA patients and 519 controls, leading to consistent gender-specific associations for Dectin-2(rs4264222), MCP-1(rs1024611), MCP-1(rs13900) and DC-SIGN(rs4804803) polymorphisms in the pooled sample (OR = 1.38, 95% CI 1.08-1.77; OR = 0.74, 95% CI 0.58-0.94; OR = 0.76, 95% CI 0.59-0.97 and OR = 0.56, 95% CI 0.34-0.93). SNP-SNP interaction analysis of significant SNPs also showed a significant two-locus interaction model in women that was not seen in men. This model consisted of Dectin-2(rs4264222) and Dectin-2(rs7134303) SNPs and suggested a synergistic effect between the variants. These findings suggest that Dectin-2, MCP-1 and DC-SIGN polymorphisms may, at least in part, account for gender-associated differences in susceptibility to RA

Demographic and clinical characteristics of RA patients.

<p>Data are means ± standard deviation. Abbreviations: RF, rheumatoid factor; Anti-CCP: anti-cyclic citrullinated peptide antibodies; DAS28, disease activity score; DMARDs, disease-modifying antirheumatic drugs.</p>*<p>Anti-CCP value was available only in 314 patients (254 women and 60 men).</p

Overall analysis of Dectin-2, DC-SIGN and MCP-1 polymorphisms with rheumatoid arthritis.

1<p>Models adjusted for age, gender and center.</p>2<p>Models adjusted for age and center.</p>3<p><i>p</i> value for testing of effect modification by gender was calculated utilizing an interaction term of gender and genetic polymorphism assuming a co-dominant model of inheritance. <i>P</i><0.05 in bold. Abbreviations: OR, odds ratio; CI, confidence interval.</p

Selected SNPs within DC-SIGN, Dectin-1, Dectin-2, MCP-1 and CCR2 genes.

<p>Abbreviations: UTR, untranslated region; IPA, Invasive Pulmonary Aspergillosis; TB, Tuberculosis; COPD, Chronic obstructive pulmonary disease; HCV, Hepatitis C virus; HBV, Hepatitis B virus; HIV-1, Human immunodeficiency virus-1; SARS, acute severe respiratory syndrome.</p>‡<p>Minor allele frequency found in our population (458 RA patients and 512 controls).</p>*<p>Tagging details and references are included as Supplementary material.</p

Dectin-2, DC-SIGN and MCP-1 polymorphisms associated with rheumatoid arthritis.

1<p>Models adjusted for age and gender.</p>2<p>Models adjusted for age.</p>3<p><i>p</i> value for testing of effect modification by gender was calculated utilizing an interaction term of gender and genetic polymorphism assuming a co-dominant model of inheritance. <i>P</i><0.05 in bold. Abbreviations: OR, odds ratio; CI, confidence interval.</p

MDR analysis to detect two-locus disease models.

<p>TA, Testing accuracy; CVC, Cross-validation consistency. P<0.05 was considered significant. NS, not significant.</p>*<p>P-value for testing balanced accuracy using 1.000-fold permutation test (MDR permutation testing module vs.0.4.9 alpha).</p