TY - JOUR
T1 - Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights
AU - UROMOL Consortium
AU - Koutros, Stella
AU - Kiemeney, Lambertus A.
AU - Pal Choudhury, Parichoy
AU - Milne, Roger L.
AU - Lopez de Maturana, Evangelina
AU - Ye, Yuanqing
AU - Joseph, Vijai
AU - Florez-Vargas, Oscar
AU - Dyrskjøt, Lars
AU - Figueroa, Jonine
AU - Dutta, Diptavo
AU - Giles, Graham G.
AU - Hildebrandt, Michelle A.T.
AU - Offit, Kenneth
AU - Kogevinas, Manolis
AU - Weiderpass, Elisabete
AU - McCullough, Marjorie L.
AU - Freedman, Neal D.
AU - Albanes, Demetrius
AU - Kooperberg, Charles
AU - Cortessis, Victoria K.
AU - Karagas, Margaret R.
AU - Johnson, Alison
AU - Schwenn, Molly R.
AU - Baris, Dalsu
AU - Furberg, Helena
AU - Bajorin, Dean F.
AU - Cussenot, Olivier
AU - Cancel-Tassin, Geraldine
AU - Benhamou, Simone
AU - Kraft, Peter
AU - Porru, Stefano
AU - Carta, Angela
AU - Bishop, Timothy
AU - Southey, Melissa C.
AU - Matullo, Giuseppe
AU - Fletcher, Tony
AU - Kumar, Rajiv
AU - Taylor, Jack A.
AU - Lamy, Philippe
AU - Prip, Frederik
AU - Kalisz, Mark
AU - Weinstein, Stephanie J.
AU - Hengstler, Jan G.
AU - Selinski, Silvia
AU - Harland, Mark
AU - Teo, Mark
AU - Kiltie, Anne E.
AU - Tardón, Adonina
AU - Chatterjee, Nilanjan
N1 - Publisher Copyright:
© 2023
PY - 2023/7
Y1 - 2023/7
N2 - Background: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. Objective: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. Design, setting, and participants: Data from 32 studies that includes 13,790 bladder cancer cases and 343, 502 controls of European ancestry were used for meta-analysis. Outcome measurements and statistical analyses: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. Results and limitations: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10−8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44–1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. Conclusions: We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer. Patient summary: We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.
AB - Background: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. Objective: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. Design, setting, and participants: Data from 32 studies that includes 13,790 bladder cancer cases and 343, 502 controls of European ancestry were used for meta-analysis. Outcome measurements and statistical analyses: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. Results and limitations: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10−8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44–1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. Conclusions: We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer. Patient summary: We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.
KW - Bladder cancer
KW - Gene-environment interaction
KW - Genome-Wide Association Study (GWAS)
KW - Germline genetics
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U2 - 10.1016/j.eururo.2023.04.020
DO - 10.1016/j.eururo.2023.04.020
M3 - Article
C2 - 37210288
AN - SCOPUS:85160031554
SN - 0302-2838
VL - 84
SP - 127
EP - 137
JO - European Urology
JF - European Urology
IS - 1
ER -