Background
Obesity is an established risk factor for renal cell carcinoma (RCC). Although genome-wide association studies (GWAS) of RCC have identified several susceptibility loci, additional variants might be missed due to the highly conservative selection.
Methods
We conducted a multiphase study utilizing three independent genome-wide scans at MD Anderson Cancer Center (MDA RCC GWAS and MDA RCC OncoArray) and National Cancer Institute (NCI RCC GWAS), which consisted of a total of 3,530 cases and 5,714 controls, to investigate genetic variations in obesity-related genes and RCC risk.
Results
In the discovery phase, 32,946 SNPs located +/− 10kb of 2,001 obesity-related genes were extracted from MDA RCC GWAS and analyzed using multivariable logistic regression. Proxies (R2>0.8) were searched or imputation was performed if SNPs were not directly genotyped in the validation sets. Twenty-one SNPs with P<0.05 in both MDA RCC GWAS and NCI RCC GWAS were subsequently evaluated in MDA RCC OncoArray. In the overall meta-analysis, significant (P<0.05) associations with RCC risk were observed for SNPs mapping to IL1RAPL2 [rs10521506-G: ORmeta=0.87 (0.81–0.93), Pmeta=2.33×10−5], PLIN2 [rs2229536-A: ORmeta=0.87 (0.81–0.93), Pmeta=2.33×10−5], SMAD3 rs4601989-A: ORmeta=0.86 (0.80–0.93), Pmeta=2.71×10−4], MED13L [rs10850596-A: ORmeta=1.14 (1.07–1.23), Pmeta=1.50×10−4] and TSC1 [rs3761840-G: ORmeta=0.90 (0.85–0.97), Pmeta=2.47×10−3]. We did not observe any significant cis-expression quantitative trait loci (cis-eQTL) effect for these SNPs in the TCGA KIRC data.
Conclusions
Taken together, we found genetic variation of obesity-related genes could influence RCC susceptibility.
Impact
The five identified loci may provide new insights into disease etiology that reveals importance of obesity-related genes in RCC development.