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Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
Open accessAbstract
Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P < 5.0 × 10-8) with PrCa and one locus significantly associated with early-onset PrCa (≤55 years). Our findings include missense variants rs1800057 (odds ratio (OR) = 1.16; P = 8.2 × 10-9; G>C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa 1.
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“For example, polygenic risk scores alone already predict breast cancer, prostate cancer, and type 1 diabetes risk in European descent patients more accurately than current clinical models2–4.”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [3]
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Polygenic risk scores for prostate cancer: Comparative evaluations in UK and Australian cohorts
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“First, we used SNPsnap [35] to validate whether 418 preidentified SNPs can be found on the human chromosome.”
InfluentialWang, J., Lv, R., Xiong, S., Wang, H., & Zeng, Q. (2025) · Medicine · doi:10.1097/md.0000000000045195 · Cited by 2
“…glioma cases), [23] Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (79,148 prostate cancer cases), [24] UK Biobank (5657 colorectal cancer cases and 3751 melanoma cases), and Medical Research Council-Integrative Epidemiology Unit (1114 kidney cancer…”
Qiu, X., Zhang, Y., Wu, J., Gao, Z., Chai, X., Shen, X., Sun, Z., & Wang, W. (2025) · Biological Procedures Online · doi:10.1186/s12575-025-00298-x · Cited by 2
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Self-citationChen, H., Zhao, H., Meng, B., & Liu, Q. (2025) · Metabolism Open · doi:10.1016/j.metop.2025.100421 · Cited by 2
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Comprehensive genomic insights into the genetic causality and comorbidity in urological cancers
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Chen, T., Zhang, H., Mazumder, R., & Lin, X. (2026) · Nature Methods · doi:10.1038/s41592-026-03235-2 · Cited by 4
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Self-citationClinical features of prostate cancer by polygenic risk score
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“Finally, 55% of individuals with a high PRS score, had a family history of prostate cancer in a first-degree relative while 66% of individuals with a low PRS score did not have a first-degree relative with prostate cancer. were diagnosed at an average of 56 years of age [12].”
BackgroundVince, R., Sun, H., Singhal, U., Schumacher, F. R., Trapl, E., Rose, J., Cullen, J., Zaorsky, N. G., Shoag, J., Hartman, H., et al. (2024) · European Urology Oncology · doi:10.1016/j.euo.2024.04.017 · Cited by 2
Self-citationCommon and novel haplotype structures between different types of cancer
Gholami, M. (2024) · Cancer Reports · doi:10.1002/cnr2.2107 · Cited by 2
Does metformin really reduce prostate cancer risk: an up-to-date comprehensive genome-wide analysis
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SNP rs9364554 Modulates Androgen Receptor Binding and Drug Response in Prostate Cancer
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“As a discovery cohort, the GWAS summary data of prostate cancer was obtained from a previous study 20 , which combined two PCa meta-analysis studies and included 79,148 PCa cases and 61,106 controls of European ancestry under normal diagnostic criteria.”
Ding, X., Ren, S., Wen, H.-Z., Zhang, Z., Ye, J.-A., Pan, W.-K., & Ye, J. (2025) · Cancer Control · doi:10.1177/10732748251320842 · Cited by 2
“In this study, the GWAS data for prostate cancer were derived from the PRACTICAL consortium, encompassing 79148 cases and 61106 control subjects 34 (Supplement Table 1).”
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“To identify genetic alterations associated with the risk of PCa, over 40 genome-wide association studies (GWAS) have been conducted, revealing more than 200 PCa susceptibility loci [6–8].”
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“…cases/40,951 controls) [20], serous ovarian cancer (OVCA ser; 19,890 cases/68,502 controls) [20], overall prostate cancer (PRCA; 79,166 cases/61,106 controls) [21], advanced prostate cancer (Adv PRCA; 15,167 cases/58,308 controls) [21], endometrial cancer (UCEC; 12,906 cases/108,979 controls) [17].”
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A pleiotropic ATM variant (rs1800057 C>G) is associated with risk of multiple cancers
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“Specifically, the rs1800057 minor G allele was found to be associated with a high risk of prostate cancer and differentiated thyroid cancer in European populations (19,37), but the G allele was also found to be non-significantly associated with risk of breast cancer (38).”
BackgroundRuan, X., Huang, D., Huang, J., Tsu, J. H., & Na, R. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04316-y · Cited by 2
“The PRACTICAL PRS and the PHS performed similarly well in predicting lethal PCa to those previously reported, especially in the prevalence and incidence cohort (both P < 0.05).”
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“[21] We selected the overall PCa data for this study.”
Miyahira, A. K., Kamran, S. C., Jamaspishvili, T., Marshall, C. H., Maxwell, K. N., Parolia, A., Zorko, N. A., Pienta, K. J., & Soule, H. R. (2024) · The Prostate · doi:10.1002/pros.24721 · Cited by 2
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Causal role of immune cells in prostate cancer: a bidirectional Mendelian-randomization analyses
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Polygenic risk scores and prostate cancer screening: a recipe for more overdiagnosis?
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Fang, S., Yarmolinsky, J., Gill, D., Bull, C. J., Perks, C. M., Smith, G. D., Gaunt, T. R., & Richardson, T. G. (2022) · medRxiv · doi:10.1101/2022.04.18.22274003 · Cited by 2
“In this study, we applied drug target MR to investigate the association between genetically proxied LDL-c lowering medications and risk of total, advanced and earlyonset prostate cancer using data from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consorti…”
BackgroundMethodInfluentialPrecision Prostate Cancer Screening with a Polygenic Risk ScorePreprint
Tasa, T., Puustusmaa, M., Tõnisson, N., Kolk, B., & Padrik, P. (2020) · medRxiv · doi:10.1101/2020.08.23.20180570 · Cited by 2
“Hazard ratio per 1 unit of standard deviation (HRsd) in model PC3 was 1.65 with standard error (log (HR)) = 0.05).”
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“Box 1: Creation of cancer polygenic risk scores Cancer Subgroup GWAS SNPs R 2 Bladder All Figueroa et al (56) (2013) 10 0.57% Breast All Michailidou et al (2017) (57) 139 2.54% ER- 105 0.56% ER+ 36 2.38% Colorectal All Schumacher et al (2015) (58) 8 0.30% Lung All Wang et al (2014) (59) 5 0.08% Adenocarcinoma 2 0.11%…”
BackgroundInfluentialSelf-citationGenomic Determinants of Long COVIDPreprint
Corpas, M., Pintos-Pascual, I., Moreno‐Torres, V., Freidin, M. B., Fatumo, S., Corral, O. J., Soriano, V., & de Mendoza, C. (2023) · Research Square · doi:10.21203/rs.3.rs-2530935/v1 · Cited by 2
Hematological markers and prostate cancer risk: A Mendelian randomization studyPreprint
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“We compared the performance of OWAS-joint and single-cell-type with real data applications for six complex traits, including CD, rheumatoid arthritis (RA), hypertension (HT), prostate cancer (PrCa), high-density lipoprotein (HDL), and LDL. Compared with OWAS, OWAS-joint identified more signals that were biologically i…”
MethodInfluentialZhang, H., Hu, C., Zhang, Z., Li, P., Shen, G., & Sun, J. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1275247 · Cited by 1
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“The data from the PRACTICAL Consortium extracted genetic associations with PCs from GWAS analysis of more than 140,000 males, including 79,148 cases of PCs and 61,106 controls of European ancestry [59].”
MethodLiu, F., Song, Y., Wu, F., Wang, J., Wang, D., Zhao, Z., Wu, H., Lyu, J., & Ning, H. (2024) · Clinical Medicine Insights Oncology · doi:10.1177/11795549241263950 · Cited by 1
“19 We sourced sum-mary statistics from this investigation, isolating two SNPs linked to D-dimer levels, which included the influence of these SNPs on PCa; we additionally extracted the effect sizes and standard errors.”
MethodPolygenic risk scores: A conceptual overview to add PRS to your clinical toolbox
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Uncovering the Role of ALDH1A2 in Prostate Cancer: Insights from Genetic and Expression Analyses
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Coding Variants of the Genitourinary Development Gene WNT9B Carry High Risk for Prostate Cancer
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“…Consortium (E2C2), and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (GERA) (Fernandez-Rozadilla et al. 2023; Jiang et al. 2021; McKay et al. 2017; Michailidou et al. 2017; O’Mara et al. 2018; Phelan et al. 2017; Rashkin et al. 2020; Schumacher et al. 2018).”
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“From the PRACTICAL consortium, we obtained the GWAS data for prostate cancer, encompassing a total of 79,148 cases and 61,106 controls [30].”
Genetic and transcriptional insights reveal hepatitis C virus as a driver of kidney cancer
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“…the FINNGEN [44], international Lung Cancer Consortium (ILCCO) [45], Breast Cancer Association Consortium (BCAC) [46], Ovarian Cancer Association Consortium (OCAC) [47] and Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome Consortium (PRACTICAL) [48].”
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Genetic and Non-Genetic Risk Factors in Prostate Cancer: Towards a Precision Medicine Approach
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“In addition, we validated the PCa GWAS using the GWAS for PCa provided by Schumacher et al. [27] validation, which included 79,148 PCa cases and 61,106 controls.”
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“Published genetic summary data on PCa were extracted from the largest GWAS meta-analysis, which in-3 cludes 79,148 cases and 61,106 controls of European ancestry, from the Prostate Cancer Association Group to Investi-gate Cancer Associated Alterations in the Genome (PRAC-TICAL) consortium [20].”
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“Summary-level GWAS data for prostate cancer were derived from the PRACTICAL consortium, encompassing 79,148 prostate cancer patients and 61,106 controls [17].”
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“Also, the KDM2A eQTL variant rs12785905, which is 10 times more frequent in UKB-EUR (0.06) compared to UKB-AFR (0.006), is associated with prostate cancers 38,39 .”
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Deep Cross Networks for Intelligent Risk Prediction of Prostate Cancer
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“We collected summarized statistics on PCa through collaboration with the Prostate Cancer Association Group to Investigate Can-cer-Associated Alterations in the Genome (PRACTICAL) Consortium [11].”
Allergic Rhinitis and Cancer Risk: A Two-Sample Mendelian Randomization Study
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Rheumatoid arthritis was causally related to an increased risk of prostate cancer
Li, W., Lv, R., & Wang, W. (2024) · International Journal of Rheumatic Diseases · doi:10.1111/1756-185x.15054 · Cited by 1
Investigating the Shared Genetic Architecture Between Leukocyte Telomere Length and Prostate Cancer
Li, Z., Wang, M., Zeng, S., Wang, Z., Ying, Y., Chen, Q., Zhang, C., He, W., Sheng, C., Wang, Y., et al. (2024) · The World Journal of Men s Health · doi:10.5534/wjmh.240062 · Cited by 1
“To date, GWAS and fine mapping have identified over 100 susceptible loci for PCa [13].”
Zhang, W., & Zhang, K. (2024) · Cancer Informatics · doi:10.1177/11769351241276319 · Cited by 1
Rivera, S., French, J. D., Bitar, M., Sivakumaran, H., Nair, S., Kaufmann, S., Hillman, K. M., Marjaneh, M. M., Beesley, J., & Edwards, S. L. (2024) · PLoS Genetics · doi:10.1371/journal.pgen.1011490 · Cited by 1
“Independent signals for HDC were obtained from large-scale GWAS, meta-analyses and fine-mapping (196 breast [4], 17 endometrial [5], 60 ovarian [6] and 258 prostate cancer index variants [7]).”
Percentage of fat in milk consumption and risk of six cancers: a Mendelian randomization study
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“Summary statistic of GWAS datasets for breast cancer and prostate cancer obtained from the Breast Cancer Association Consortium (BCAC) (Zhang et al. 2020), the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) (Schumacher et al. 2018), and IEU OpenG-WAS (ieu-b-491…”
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“…cancer GWAS data were obtained from the Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome (PRACTICAL) consortium database, which includes 79,148 prostate cancer cases and 61,106 controls [24], representing the largest data-set on prostate cancer to date.”
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Prognostic Value of BRCA1 and BRCA2 Gene Mutations in Prostate Cancer: a Literature Review
Loginova, M. V., Павлов, В. Н., & Gilyazova, I. R. (2021) · Creative Surgery and Oncology · doi:10.24060/2076-3093-2021-11-2-183-187 · Cited by 1
Resch, L. D., Hotz, A., Zimmer, A. D., Komlósi, K., Singh, N., Tzschach, A., Windfuhr‐Blum, M., Juhasz-Böess, I., Erbes, T., Fischer, J., et al. (2021) · Genes · doi:10.3390/genes12101483 · Cited by 1
“Evidence regarding an increased risk of prostate or pancreatic cancer cannot be confirmed currently due to insufficient data [43,44].”
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Analysis of the Role of Comprehensive Treatment Model in the Treatment of Prostate Cancer
Yang, S., Guan, H., Chen, Z., Wang, S., Wu, H., & Zhong, W. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/2118823 · Cited by 1
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Unravelling genetic variants of a swedish family with high risk of prostate cancer
Barilla, S., Lindblom, A., & Helgadottir, H. T. (2022) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-022-00234-0 · Cited by 1
“the custom high-density genotyping array, the OncoArray, from the PRACTICAL project [21].”
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“ATM gene variants contribute to PCa susceptibility and progression, particularly aggressive PCa [4,31,32].”
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A novel method to identify cell-type specific regulatory variants and their role in cancer riskPreprint
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Molecular Research in Medical Genetics
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Metadata
- Authors
- Study, T. P., Schumacher, F. R., (APCB), A. P. C. B., Study, T. I., Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium (BPC3), The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, (CAPS), C. O. T. P. I. S., Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci (PEGASUS), The Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, Al Olama, A. A., Berndt, S. I., Benlloch, S., Ahmed, M., Saunders, E. J., Dadaev, T., Leongamornlert, D., Anokian, E., Cieza-Borrella, C., Goh, C., Brook, M. N., Sheng, X., Fachal, L., Dennis, J., Tyrer, J., Muir, K., Lophatananon, A., Stevens, V. L., Gapstur, S. M., Carter, B. D., Tangen, C. M., Goodman, P. J., Thompson, I. M., Batra, J., Chambers, S., Moya, L., Clements, J., Horvath, L., Tilley, W., Risbridger, G. P., Gronberg, H., Aly, M., Nordström, T., Pharoah, P., Pashayan, N., Schleutker, J., Tammela, T. L. J., Sipeky, C., Auvinen, A., Albanes, D., Weinstein, S., Wolk, A., Håkansson, N., West, C. M. L., Dunning, A. M., Burnet, N., Mucci, L. A., Giovannucci, E., Andriole, G. L., Cussenot, O., Cancel-Tassin, G., Koutros, S., Beane Freeman, L. E., Sorensen, K. D., Orntoft, T. F., Borre, M., Maehle, L., Grindedal, E. M., Neal, D. E., Donovan, J. L., Hamdy, F. C., Martin, R. M., Travis, R. C., Key, T. J., Hamilton, R. J., Fleshner, N. E., Finelli, A., Ingles, S. A., Stern, M. C., Rosenstein, B. S., Kerns, S. L., Ostrer, H., Lu, Y.-J., Zhang, H.-W., Feng, N., Mao, X., Guo, X., Wang, G., Sun, Z., Giles, G. G., Southey, M. C., MacInnis, R. J., FitzGerald, L. M., Kibel, A. S., Drake, B. F., Vega, A., Gómez-Caamaño, A., Szulkin, R., Eklund, M., Kogevinas, M., Llorca, J., Castaño-Vinyals, G., Penney, K. L., Stampfer, M., Park, J. Y., Sellers, T. A., Lin, H.-Y., Stanford, J. L., Cybulski, C., Wokolorczyk, D., Lubinski, J., Ostrander, E. A., Geybels, M. S., Nordestgaard, B. G., Nielsen, S. F., Weischer, M., Bisbjerg, R., Røder, M. A., Iversen, P., Brenner, H., Cuk, K., Holleczek, B., Maier, C., Luedeke, M., Schnoeller, T., Kim, J., Logothetis, C. J., John, E. M., Teixeira, M. R., Paulo, P., Cardoso, M., Neuhausen, S. L., Steele, L., Ding, Y. C., De Ruyck, K., De Meerleer, G., Ost, P., Razack, A., Lim, J., Teo, S.-H., Lin, D. W., Newcomb, L. F., Lessel, D., Gamulin, M., Kulis, T., Kaneva, R., Usmani, N., Singhal, S., Slavov, C., Mitev, V., Parliament, M., Claessens, F., Joniau, S., Van den Broeck, T., Larkin, S., Townsend, P. A., Aukim-Hastie, C., Gago-Dominguez, M., Castelao, J. E., Martinez, M. E., Roobol, M. J., Jenster, G., van Schaik, R. H. N., Menegaux, F., Truong, T., Koudou, Y. A., Xu, J., Khaw, K.-T., Cannon-Albright, L., Pandha, H., Michael, A., Thibodeau, S. N., McDonnell, S. K., Schaid, D. J., Lindstrom, S., Turman, C., Ma, J., Hunter, D. J., Riboli, E., Siddiq, A., Canzian, F., Kolonel, L. N., Le Marchand, L., Hoover, R. N., Machiela, M. J., Cui, Z., Kraft, P., Amos, C. I., Conti, D. V., Easton, D. F., Wiklund, F., Chanock, S. J., Henderson, B. E., Kote-Jarai, Z., Haiman, C. A., & Eeles, R. A.
- Affiliations
- Case Western Reserve University (US)
- University of Cambridge (GB)
- Division of Cancer Epidemiology and Genetics (US)
- Institute of Cancer Research (GB)
- University of Manchester (GB)
- American Cancer Society (US)
- Griffith University (AU)
- Translational Research Institute (AU)
- Garvan Institute of Medical Research (AU)
- Karolinska University Hospital (SE)
- University of Turku (FI)
- Tampere University (FI)
- Karolinska Institutet (SE)
- Uppsala University (SE)
- Harvard University (US)
- Washington University in St. Louis (US)
- Aarhus University Hospital (DK)
- Oslo University Hospital (NO)
- Aarhus University (DK)
- Princess Margaret Cancer Centre (CA)
- University of Oxford (GB)
- Albert Einstein College of Medicine (US)
- Queen Mary University of London (GB)
- Second Military Medical University (CN)
- Nanjing Medical University (CN)
- Shanghai Medical College of Fudan University (CN)
- Cancer Council Victoria (AU)
- Brigham and Women's Hospital (US)
- The University of Melbourne (AU)
- Monash Health (AU)
- University of Tasmania (AU)
- Universitat Pompeu Fabra (ES)
- Fundación Pública Galega de Medicina Xenómica (ES)
- Universidad de Cantabria (ES)
- Moffitt Cancer Center (US)
- National Institutes of Health (US)
- University of Washington (US)
- University of Copenhagen (DK)
- Copenhagen University Hospital (DK)
- German Cancer Research Center (DE)
- Herlev Hospital (DK)
- The University of Texas MD Anderson Cancer Center (US)
- Cancer Prevention Institute of California (US)
- Universidade do Porto (PT)
- Instituto Português de Oncologia Francisco Gentil (PT)
- Ghent University (BE)
- Ghent University Hospital (BE)
- University of Malaya (MY)
- University Hospital Centre Zagreb (HR)
- University of Alberta (CA)
- Alexandrovska Hospital (BG)
- Southampton General Hospital (GB)
- University of Surrey (GB)
- Universitair Ziekenhuis Leuven (BE)
- Manchester Academic Health Science Centre (GB)
- Inserm (FR)
- Endeavor Health (US)
- Mayo Clinic (US)
- USC Norris Comprehensive Cancer Center (US)
- Dartmouth College (US)
- Royal Marsden NHS Foundation Trust (GB)
- Corresponding author
- Schumacher, Fredrick R.
- Eeles, Rosalind A.
- ORCID
- Schumacher, Fredrick R.
- Berndt, Sonja I.
- Ahmed, Mahbubl
- Saunders, Edward J.
- Dadaev, Tokhir
- Leongamornlert, Daniel
- Anokian, Ezequiel
- Cieza-Borrella, Clara
- Goh, Chee
- Brook, Mark N.
- Sheng, Xin
- Fachal, Laura
- Dennis, Joe
- Tyrer, Jonathan
- Muir, Kenneth
- Lophatananon, Artitaya
- Stevens, Victoria L.
- Gapstur, Susan M.
- Carter, Brian D.
- Tangen, Catherine M.
- Goodman, Phyllis J.
- Thompson, Ian M.
- Batra, Jyotsna
- Chambers, Suzanne
- Moya, Leire
- Clements, Judith
- Horvath, Lisa
- Tilley, Wayne
- Risbridger, Gail P.
- Aly, Markus
- Nordström, Tobias
- Pharoah, Paul
- Pashayan, Nora
- Schleutker, Johanna
- Tammela, Teuvo L. J.
- Sipeky, Csilla
- Auvinen, Anssi
- Albanes, Demetrius
- Weinstein, Stephanie
- Wolk, Alicja
- Håkansson, Niclas
- West, Catharine M. L.
- Dunning, Alison M.
- Burnet, Neil
- Mucci, Lorelei A.
- Giovannucci, Edward
- Andriole, Gerald L.
- Cussenot, Olivier
- Koutros, Stella
- Borre, Michael
- Grindedal, Eli Marie
- Neal, David E.
- Donovan, Jenny L.
- Hamdy, Freddie C.
- Martin, Richard M.
- Travis, Ruth C.
- Hamilton, Robert J.
- Fleshner, Neil E.
- Finelli, Antonio
- Ingles, Sue Ann
- Stern, Mariana C.
- Rosenstein, Barry S.
- Kerns, Sarah L.
- Lu, Yong-Jie
- Zhang, Hong-Wei
- Feng, Ninghan
- Mao, Xueying
- Wang, Guomin
- Giles, Graham G.
- Southey, Melissa C.
- MacInnis, Robert J.
- FitzGerald, Liesel M.
- Kibel, Adam S.
- Drake, Bettina F.
- Vega, Ana
- Szulkin, Robert
- Eklund, Martin
- Kogevinas, Manolis
- Llorca, Javier
- Penney, Kathryn L.
- Stampfer, Meir
- Park, Jong Y.
- Sellers, Thomas A.
- Lin, Hui-Yi
- Stanford, Janet L.
- Cybulski, Cezary
- Ostrander, Elaine A.
- Nordestgaard, Børge G.
- Nielsen, Sune F.
- Weischer, Maren
- Bisbjerg, Rasmus
- Røder, Martin Andreas
- Iversen, Peter
- Brenner, Hermann
- Holleczek, Bernd
- Kim, Jeri
- Logothetis, Christopher J.
- John, Esther M.
- Teixeira, Manuel R.
- Paulo, Paula
- Cardoso, Marta
- Neuhausen, Susan L.
- Steele, Linda
- Ding, Yuan Chun
- Ost, Piet
- Razack, Azad
- Lim, Jasmine
- Teo, Soo-Hwang
- Lin, Daniel W.
- Lessel, Davor
- Gamulin, Marija
- Kaneva, Radka
- Usmani, Nawaid
- Singhal, Sandeep
- Slavov, Chavdar
- Mitev, Vanio
- Parliament, Matthew
- Claessens, Frank
- Joniau, Steven
- Townsend, Paul A.
- Castelao, Jose Esteban
- Roobol, Monique J.
- Jenster, Guido
- van Schaik, Ron H. N.
- Truong, Thérèse
- Xu, Jianfeng
- Khaw, Kay-Tee
- Pandha, Hardev
- Michael, Agnieszka
- Thibodeau, Stephen N.
- McDonnell, Shannon K.
- Schaid, Daniel J.
- Turman, Constance
- Ma, Jing
- Siddiq, Afshan
- Canzian, Federico
- Kolonel, Laurence N.
- Hoover, Robert N.
- Machiela, Mitchell J.
- Cui, Zuxi
- Kraft, Peter
- Amos, Christopher I.
- Conti, David V.
- Easton, Douglas F.
- Wiklund, Fredrik
- Chanock, Stephen J.
- Haiman, Christopher A.
- Eeles, Rosalind A.
- Venue
- Nature Genetics
- Published
- 2018-06-11
- Volume
- 50
- Issue
- 7
- Pages
- 928-936
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC6568012
- OpenAlex
- W2806504012
- Cited by
- 902
- References
- 65
- Citations by year
- 2026: 53 · 2025: 96 · 2024: 133 · 2023: 123 · 2022: 151 · 2021: 132 · 2020: 104 · 2019: 79 · 2018: 30
- FWCI
- 52.93
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-01-08)
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- St George's Online Research Archive (St George's University of London) (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Civil War Book Review (submittedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- UTAS Research Repository (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- HAL (submittedVersion, other-oa)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Figshare (submittedVersion)
- Lirias (submittedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion, other-oa)
- Griffith Research Online (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
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- U.S. Department of Defense (C5047/A10692, C1287/A10118, C5047/A7357, W81XWH, C1287/A16563, C8197/A16565, C1281/A12014, C5047/A8384, C12292/A11174, C5047/A15007, CA128978, W81XWH1010341, 223175)
- Cancer Research Institute
- Prostate Cancer Foundation
- Breast Cancer Research Foundation (C5047/A10692, C5047/A15007, C1287/A10118, CA128978, 209057, C1287/A16563, W81XWH-10-1-0341, C8197/A16565, C5047/A8384, C1281/A12014, 396414, C12292/A11174, HEALTH-F2-2009-223175)
- Ovarian Cancer Research Fund (W81XWH-10-1-0341, C1281/A12014, C1287/A10118, C8197/A16565, C12292/A11174, CA128978, C5047/A10692, C5047/A15007, C1287/A16563, C5047/A8384, HEALTH-F2-2009-223175)
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- Aarhus Universitet
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- Cancer Research UK (C8197/A16565’, 223175, C1281/A12014, 10119, C5047/A7357, C5047/A15007’, C1287‐A10118, 12014, HEALTHF2-2009-223175, C5047/A3354, 21332, 16561, 16565, C12292/A11174, ‘C5047/A10692, 15007, C1287, C5047/A8384, 10118, 14136, 16563, 18504, 16491, 17528, C16913-A6135, CA128978, A16563, 19169, C1287-A10710, W81XWH-10-1-0341, C1287‐A16563, C1281)
- National Institute for Health and Care Research (C5047/A15007, W81XWH-10-1-0341, NF-SI-0510-10096, C8197/A16565, HEALTH-F2-2009-223175, NF-SI-0509-10242, CA128978, C1287/A10118, C1281/A12014, NF-SI-0512-10114, C5047/A10692, NF-SI-0513-10121, C1287/A16563, C12292/A11174, C5047/A8384)
- University of Cambridge
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- Karolinska Institutet (W81XWH-10-1-0341, C1281/A12014, C1287/A10118, HEALTH-F2-2009-223175, C1287/A16563, CA128978, C5047/A8384, C5047/A10692, C12292/A11174, C8197/A16565, C5047/A15007)
- Peter MacCallum Cancer Centre
- Tampereen Yliopisto
- Turun Yliopisto
- Uppsala Universitet
- Tays
- Turun Yliopistollinen Keskussairaala
- National Institutes of Health (C1281/A12014, 223175, W81XWH-10-1-0341, C8197/A16565, C5047/A7357, C12292/A11174, C1287/A16563, W81XWH, C1287/A10118, HHSN268201200008I, C5047/A10692, HEALTH-F2-2009-223175, C5047/A15007, C5047/A8384, X01HG007492)
- Canadian Institutes of Health Research (C5047/A8384, C5047/A15007, C5047/A10692, C1287/A10118, C1287/A16563, CA128978, C8197/A16565, C1281/A12014, C12292/A11174, W81XWH-10-1-0341, HEALTH-F2-2009-223175, 223175)
- Medical Research Council (C12292/A11174, C1281/A12014, CA128978, C5047/A8384, HEALTH-F2-2009-223175, C8197/A16565, W81XWH-10-1-0341, C1287/A16563, C5047/A10692, MR/N003284/1, C1287/A10118, C5047/A15007)
- National Health and Medical Research Council (623204, 504702, 126402, 614296, 251533, 504700, 504715)
- Cancer Council Victoria (C1287/A16563, C1287/A10118, C8197/A16565, HEALTH-F2-2009-223175, C1281/A12014, C5047/A15007, C12292/A11174, W81XWH-10-1-0341, CA128978, C5047/A10692, C5047/A8384)
- Cancer Council Queensland
- Warwick Medical School
- Servicio Gallego de Salud
- Monash Biomedicine Discovery Institute, Monash University
- National Heart, Lung, and Blood Institute (HHSN268201200008I, HHSN268201200008C)
- National Cancer Institute (R01CA128978, U01CA188392, C5047/A15007, C5047/A10692, C5047/A8384, U19CA148065, HEALTH-F2-2009-223175, W81XWH-10-1-0341, UM1CA182883, UG1CA189974, U01CA098710, U19CA148537, K05CA175147, CA148065, U01CA098216, C1281/A12014, C12292/A11174, U01CA098758, U19CA148112, (CA128978, C1287/A16563, K07CA187546, C1287/A10118, C8197/A16565, U01CA098233, U10CA037429)
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- DOD Prostate Cancer Research Program
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Prostate Cancer Treatment and Research
- Health Sciences › Medicine › Urology › Prostate Cancer Diagnosis and Treatment
- Keywords
- prostate cancer, cancer susceptibility loci, genetic association, early-onset prostate cancer, polygenic risk score, ATM, p27, European ancestry, risk prediction, fine mapping
- MeSH terms
- Genotype, Humans, Male, Prostatic Neoplasms, Risk, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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