Cited by 918Genetic Associations and EpidemiologyProstate Cancer Treatment and ResearchProstate Cancer Diagnosis and Treatment

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Open access

The Profile Study, Schumacher, Fredrick R., Australian Prostate Cancer BioResource (APCB), The IMPACT Study, 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, Cancer of the Prostate in Sweden (CAPS), 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, Ali Amin, Berndt, Sonja I., Benlloch, Sara, 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., Gronberg, Henrik, 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, Cancel-Tassin, Géraldine, Koutros, Stella, Beane Freeman, Laura E., Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Martin, Richard M., Travis, Ruth C., Key, Tim J., Hamilton, Robert J., Fleshner, Neil E., Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C., Rosenstein, Barry S., Kerns, Sarah L., Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G., Southey, Melissa C., MacInnis, Robert J., FitzGerald, Liesel M., Kibel, Adam S., Drake, Bettina F., Vega, Ana, Gómez-Caamaño, Antonio, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L., Stampfer, Meir, Park, Jong Y., Sellers, Thomas A., Lin, Hui-Yi, Stanford, Janet L., Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Ostrander, Elaine A., Geybels, Milan S., Nordestgaard, Børge G., Nielsen, Sune F., Weischer, Maren, Bisbjerg, Rasmus, Røder, Martin Andreas, Iversen, Peter, Brenner, Hermann, Cuk, Katarina, Holleczek, Bernd, Maier, Christiane, Luedeke, Manuel, Schnoeller, Thomas, Kim, Jeri, Logothetis, Christopher J., John, Esther M., Teixeira, Manuel R., Paulo, Paula, Cardoso, Marta, Neuhausen, Susan L., Steele, Linda, Ding, Yuan Chun, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Lin, Daniel W., Newcomb, Lisa F., Lessel, Davor, Gamulin, Marija, Kulis, Tomislav, Kaneva, Radka, Usmani, Nawaid, Singhal, Sandeep, Slavov, Chavdar, Mitev, Vanio, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van den Broeck, Thomas, Larkin, Samantha, Townsend, Paul A., Aukim-Hastie, Claire, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Roobol, Monique J., Jenster, Guido, van Schaik, Ron H. N., Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, Xu, Jianfeng, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Michael, Agnieszka, Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., Lindstrom, Sara, Turman, Constance, Ma, Jing, Hunter, David J., Riboli, Elio, Siddiq, Afshan, Canzian, Federico, Kolonel, Laurence N., Le Marchand, Loic, Hoover, Robert N., Machiela, Mitchell J., Cui, Zuxi, Kraft, Peter, Amos, Christopher I., Conti, David V., Easton, Douglas F., Wiklund, Fredrik, Chanock, Stephen J., Henderson, Brian E., Kote-Jarai, Zsofia, Haiman, Christopher A., Eeles, Rosalind A.·2018·Nature Genetics

DOI 10.1038/s41588-018-0142-8PMC PMC6568012

Open this paper in CoChat — free account Open PDF

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1038/s41588-018-0142-8

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Cancer statistics, 2016
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
PANTHER: A Library of Protein Families and Subfamilies Indexed by FunctionPreprint
Thomas, P. D., Campbell, M. J., Kejariwal, A., Mi, H., Karlak, B., Daverman, R., Diemer, K., Muruganujan, A., & Narechania, A. (2003) · Genome Research · doi:10.1101/gr.772403 · Cited by 2,978
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235
DNA-Repair Defects and Olaparib in Metastatic Prostate Cancer
Mateo, J., Carreira, S., Sandhu, S., Miranda, S., Mossop, H., Perez-Lopez, R., Nava Rodrigues, D., Robinson, D., Omlin, A., Tunariu, N., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1506859 · Cited by 2,185

Show all 65 references

Sorted by citations

Items 801–900 of 918

Causality of genetically predicted solid cancers on risk of sepsis: insights from Mendelian randomization
Qiu, L., Chen, S., Zhong, J., Zhang, Y., & Zhang, K. (2025) · Discover Oncology · doi:10.1007/s12672-025-02848-x
“To account for multiple testing, a Bonferroni correction threshold of p 5 × 10 − 3 ( 0.05 ∕ 10 [10 exposure]) was preset.”
Influential
Identification of prostate cancer potential therapeutic targets and virtual drug screening through combined Mendelian randomization study, Bayesian colocalization and molecular docking
Liang, Z., Hu, C., Pang, H., Shao, Y., Kong, L., Cheng, M., Du, H., Feng, T., Fan, Z., Yao, L., et al. (2025) · Discover Oncology · doi:10.1007/s12672-025-02968-4
“We focused on variants with a high posterior probability of colocalization (PPH4 > 0.8) and considered genes with a joint posterior probability (PPH3 + PPH4) equal to or greater than 0.8 as proteins with colocalization possibility [19, 20].”
Influential
The mediating factors between systemic lupus erythematosus and prostate cancer risk: a two-step Mendelian randomization and transcriptome analysis
Zhong, S., Li, W., Yang, X., Qiao, J., Zhong, Q., Tian, Y., Chen, P., Tao, Y., Sun, F., & Li, T. (2025) · Discover Oncology · doi:10.1007/s12672-025-03046-5
Propositions pour développer l’innovation et la recherche en cancérologie et optimiser les prises en soin des patients touchés par le cancer
Dhamelincourt, E., Bezie, G., Bissaoui, H., Bonnotte, T., Carduner, O., Champoiseau, F.-G., Coutier, C., Duval, M., Femery, V. G., Ferté, C., et al. (2025) · Bulletin du Cancer · doi:10.1016/j.bulcan.2025.06.004
Causal effects of one-carbon metabolism molecules on cancers risk: a Mendelian randomization study
Xiao, L., Li, M., Gao, S., Han, J., & Liang, P. (2025) · Postgraduate Medical Journal · doi:10.1093/postmj/qgaf114
Familiäres (hereditäres) Prostatakarzinom – notwendiges Grundlagenwissen
Rhiem, K., & Schmutzler, R. K. (2025) · Die Onkologie · doi:10.1007/s00761-025-01783-4
Evaluating the contribution of genome 3D folding to variation in human height using machine learningPreprint
Gu, W., Gilbertson, E. N., Baranzini, S. E., Salem, R. S., & Capra, J. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.09.675195
RETRACTED: Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer
Santiago, L. R., Ladoukakis, E., Scibior‐Bentkowska, D., & Nedjai, B. (2025) · International Journal of Cancer · doi:10.1002/ijc.70163
“8 However, they were not able to explain the PCa phenotype with any singular SNP, which led to the use of polygenic risk scores (PRS).”
Retracted
Role of genetic polymorphisms within different genes and associated risks of cancer development (Review)
Mathur, R., Khare, N., Saini, G., Shukla, S. P., & Jha, A. K. (2025) · World Academy of Sciences Journal · doi:10.3892/wasj.2025.406 · Cited by 1
“A recent genome‑wide association study identi‑ fied several novel susceptibility loci for prostate cancer risk, providing new insight into the genetic architecture of this disease across diverse populations (6).”
Association Between Obstructive Sleep Apnea and Prostate Cancer: NHANES and the Mendelian Randomization Study
Liu, Y., Jiang, B., Xia, L., Bao, E., Wang, L., & Zhu, P.-Y. (2025) · Nature and Science of Sleep · doi:10.2147/nss.s496540
Circulating chromatin reveals the effects of disease-associated variants on gene regulationPreprint
Zhang, Z., Chhetri, S. B., Semaan, K., Zhang, Z., Jin, Z., Sotudian, S., Liang, L., Gusev, A., & Baca, S. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.12.688010
Non-coding genetic variants underlying higher prostate cancer risk in men of African ancestry
Li, S., Fatema, K., Sundarraj, N., Singh, A., Rajagopal, P. S., Notani, D., Takeda, D. Y., & Hannenhalli, S. S. (2025) · Nature Communications · doi:10.1038/s41467-025-64631-4 · Cited by 1
“Large genome-wide association studies (GWAS) have identi ﬁ ed PrCa risk variants, which are aggregated into a polygenic risk score (PRS) 7 – 10 .”
Non-malignant hematologic conditions and subsequent cancer risk: a prospective cohort study and Mendelian randomization analysis
Chen, W., Li, J., Cui, H., Dai, L., Shen, Y., Cheng, X., He, L., Zhuang, Q., He, M.-M., Song, M., et al. (2025) · Carcinogenesis · doi:10.1093/carcin/bgaf085
A large-sample analysis of vitamin B12 deficiency anemia, the red cell distribution width, and prostate cancer: identification of their causal relationships, shared gene signatures, and key biological mechanisms
Zhang, J., Zhu, W., Li, J., Li, J., Yan, Q., Zhang, Y., & Li, J. (2025) · The Aging Male · doi:10.1080/13685538.2025.2588093
“Prostate cancer summary data were from the PRACTICAL consortium [18], comprising 79,148 cases and 61,106 controls.”
Multi-omics analysis indicates an association between TAPBP and prostate cancer
Wang, X., Jiang, A., Li, C., & Liu, Z. (2025) · PLoS ONE · doi:10.1371/journal.pone.0336438
“Numerous PCa-associated risk loci have been screened using the genome-wide association study (GWAS) approach [2].”
IP-SNPs-seq links noncoding risk alleles to lineage transcription factor programs in prostate cancer
Xu, W., Zhang, Q., Qiao, L., Wang, Z., Wang, T., Dong, D., Zhang, Q., Wang, L., Wei, G., & Zhang, P. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05964-7
Prostate cancer risk-associated single-nucleotide polymorphisms impact the conformational dynamics of prostate-specific antigen
Srinivasan, S., Hayes, B. K., Costa, M. G. S., Riley, B. T., Wilson, E., Marijanovic, E. M., Kass, I., Koistinen, H. K., Hoke, D. E., Clements, J. A., et al. (2025) · BMC Biology · doi:10.1186/s12915-025-02458-7
Self-citation
Evaluating the relationship between educational attainment, obesity-related indicators, and prostate diseases: A univariable and multivariable Mendelian randomization study
Ji, W.-T., Wang, Y., Jin, X., Wang, S., & Wang, Y. (2025) · Medicine · doi:10.1097/md.0000000000046585
“[36] This article combined summarized genetic data from OncoArray analysis and 7 previous PCa GWAS studies or high-density SNP panels.”
Insights into the impact of neuropsychiatric disorders on prostate diseases: A 2-sample Mendelian randomization study
Xie, H., & Geng, W. (2025) · Medicine · doi:10.1097/md.0000000000046646
“[11] Summary data on BPH (4133 cases/458,877 controls) and prostatitis (1859 cases/72,799 controls) were obtained from the MRC-IEU Consortium and FinnGen project.”
Additional file 2 of FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases
Breeze, C. E., Haugen, E., Gutiérrez‐Arcelus, M., Yao, X., Teschendorff, A. E., Beck, S., Dunham, I., Stamatoyannopoulos, J. A., Franceschini, N., Machiela, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658895
Self-citation
Additional file 2 of Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa
Kim, M., Naidoo, D., Hazra, U., Quiver, M. H., Chen, W. C., Simonti, C., Kachambwa, P., Harlemon, M. S., Agalliu, I., Baichoo, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21102157
Self-citation
Additional file 2 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373260
Additional file 1 of Proteo-genomics of soluble TREM2 in cerebrospinal fluid provides novel insights and identifies novel modulators for Alzheimer’s disease
Wang, L., Nykänen, N.-P., Western, D., Gorijala, P., Timsina, J., Li, F., Wang, Z., Ali, M., Yang, C., Liu, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24940635
Additional file 5 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373269
Additional file 2 of PRState: Incorporating genetic ancestry in prostate cancer risk scores for men of African ancestry
Pagadala, M. S., Linscott, J. A., Talwar, J. V., Seibert, T. M., Rose, B., Lynch, J. A., Panizzon, M. S., Hauger, R., Hansen, M. L., Sammon, J. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26552263
Additional file 1 of Breaking down causes, consequences, and mediating effects of telomere length variation on human health
Moix, S., Sadler, M. C., Kutalik, Z., & Auwerx, C. (2024) · Figshare · doi:10.6084/m9.figshare.26722227
Additional file 3 of Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study
Long, Y., Tang, L., Zhou, Y., Zhao, S., & Zhu, H. (2024) · Figshare · doi:10.6084/m9.figshare.26570356
Additional file 1 of An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses
Kim, J. Y., Song, M., Kim, M. S., Natarajan, P., Do, R., Myung, W., & Won, H.-H. (2023) · Figshare · doi:10.6084/m9.figshare.24002936
Self-citation
Additional file 1 of FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases
Breeze, C. E., Haugen, E., Gutiérrez‐Arcelus, M., Yao, X., Teschendorff, A. E., Beck, S., Dunham, I., Stamatoyannopoulos, J. A., Franceschini, N., Machiela, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658892
Self-citation
Additional file 1 of An early-onset specific polygenic risk score optimizes age-based risk estimate and stratification of prostate cancer: population-based cohort study
Cheng, Y., Wu, L., Xin, J., Ben, S., Chen, S., Li, H., Zhao, L., Wang, M., Cheng, G., & Du, M. (2024) · Figshare · doi:10.6084/m9.figshare.25632927
Additional file 11 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373245
Additional file 6 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373272
Additional file 3 of Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa
Kim, M., Naidoo, D., Hazra, U., Quiver, M. H., Chen, W. C., Simonti, C., Kachambwa, P., Harlemon, M. S., Agalliu, I., Baichoo, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21102160
Self-citation
Additional file 9 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373281
Additional file 2 of An early-onset specific polygenic risk score optimizes age-based risk estimate and stratification of prostate cancer: population-based cohort study
Cheng, Y., Wu, L., Xin, J., Ben, S., Chen, S., Li, H., Zhao, L., Wang, M., Cheng, G., & Du, M. (2024) · Figshare · doi:10.6084/m9.figshare.25633083
Additional file 10 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373242
Additional file 1 of SNPxE: SNP-environment interaction pattern identifier
Lin, H., Huang, P.-Y., Tseng, T.-S., & Park, J. Y. (2021) · Figshare · doi:10.6084/m9.figshare.16584596
Self-citation
Additional file 3 of DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
Kalita, C. A., & Gusev, A. (2022) · Figshare · doi:10.6084/m9.figshare.20279467
Additional file 1 of Integrative eQTL-weighted hierarchical Cox models for SNP-set based time-to-event association studies
Lu, H., Wei, Y., Jiang, Z., Zhang, J., Wang, T., Shuiping, H., & Zeng, P. (2021) · Figshare · doi:10.6084/m9.figshare.16779558
Additional file 3 of Breaking down causes, consequences, and mediating effects of telomere length variation on human health
Moix, S., Sadler, M. C., Kutalik, Z., & Auwerx, C. (2024) · Figshare · doi:10.6084/m9.figshare.26722233
Additional file 13 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373251
Additional file 1 of Mendelian randomization evidence based on European ancestry for the causal effects of leukocyte telomere length on prostate cancer
Wu, X., Hu, C., Wu, T., Du, X., Peng, Z., Xue, W., Chen, Y., & Dong, L. (2024) · Figshare · doi:10.6084/m9.figshare.25963087
Additional file 1 of Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study
Long, Y., Tang, L., Zhou, Y., Zhao, S., & Zhu, H. (2024) · Figshare · doi:10.6084/m9.figshare.26570350
Additional file 2 of DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
Kalita, C. A., & Gusev, A. (2022) · Figshare · doi:10.6084/m9.figshare.20279464
Additional file 4 of Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa
Kim, M. S., Naidoo, D., Hazra, U., Quiver, M. H., Chen, W. C., Simonti, C., Kachambwa, P., Harlemon, M. S., Agalliu, I., Baichoo, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21102163
Self-citation
Additional file 2 of Causal association between inflammatory bowel disease and 32 site-specific extracolonic cancers: a Mendelian randomization study
Gao, H., Zheng, S., Yuan, X., Xie, J., & Xu, L. (2024) · Figshare · doi:10.6084/m9.figshare.24286703
Additional file 2 of Mendelian randomization evidence based on European ancestry for the causal effects of leukocyte telomere length on prostate cancer
Wu, X., Hu, C., Wu, T., Du, X., Peng, Z., Xue, W., Chen, Y., & Dong, L. (2024) · Figshare · doi:10.6084/m9.figshare.25963233
Additional file 1 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373257
Additional file 3 of FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases
Breeze, C. E., Haugen, E., Gutiérrez‐Arcelus, M., Yao, X., Teschendorff, A. E., Beck, S., Dunham, I., Stamatoyannopoulos, J. A., Franceschini, N., Machiela, M. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658898
Self-citation
Additional file 1 of Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis
Bouras, E., Karhunen, V., Gill, D., Huang, J., Haycock, P. C., Gunter, M. J., Johansson, M., Brennan, P., Key, T., Lewis, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18132331
Self-citation
Additional file 2 of Proteo-genomics of soluble TREM2 in cerebrospinal fluid provides novel insights and identifies novel modulators for Alzheimer’s disease
Wang, L., Nykänen, N.-P., Western, D., Gorijala, P., Timsina, J., Li, F., Wang, Z., Ali, M., Yang, C., Liu, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24940872
Additional file 3 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373263
Additional file 2 of Breaking down causes, consequences, and mediating effects of telomere length variation on human health
Moix, S., Sadler, M. C., Kutalik, Z., & Auwerx, C. (2024) · Figshare · doi:10.6084/m9.figshare.26722230
Additional file 14 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373254
Additional file 2 of Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study
Long, Y., Tang, L., Zhou, Y., Zhao, S., & Zhu, H. (2024) · Figshare · doi:10.6084/m9.figshare.26570353
Additional file 12 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373248
Additional file 1 of PRState: Incorporating genetic ancestry in prostate cancer risk scores for men of African ancestry
Pagadala, M. S., Linscott, J. A., Talwar, J. V., Seibert, T. M., Rose, B., Lynch, J. A., Panizzon, M. S., Hauger, R., Hansen, M. L., Sammon, J. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26552260
Additional file 8 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373278
Additional file 1 of GATA2 co-opts TGFβ1/SMAD4 oncogenic signaling and inherited variants at 6q22 to modulate prostate cancer progression
Yang, X., Zhang, Q., Li, S., Devarajan, R., Luo, B., Tan, Z., Wang, Z., Giannareas, N., Wenta, T., Ma, W., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23902902
Additional file 4 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373266
Additional file 1 of Circulating vitamin C concentration and risk of cancers: a Mendelian randomization study
Fu, Y., Xu, F., Jiang, L., Miao, Z., Liang, X., Yang, J., Larsson, S. C., & Zheng, J.-S. (2021) · Figshare · doi:10.6084/m9.figshare.15079684
Additional file 3 of Circulating vitamin C concentration and risk of cancers: a Mendelian randomization study
Fu, Y., Xu, F., Jiang, L., Miao, Z., Liang, X., Yang, J., Larsson, S. C., & Zheng, J.-S. (2021) · Figshare · doi:10.6084/m9.figshare.15079690
Additional file 4 of Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis
Bouras, E., Karhunen, V., Gill, D., Huang, J., Haycock, P. C., Gunter, M. J., Johansson, M., Brennan, P., Key, T., Lewis, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18132340
Self-citation
Additional file 7 of Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study
Lin, Y., Yang, Z., Li, J., Sun, Y., Zhang, X., Qu, Z., Luo, Y., & Zhang, L. (2022) · Figshare · doi:10.6084/m9.figshare.19373275
Additional file 1 of Association between circulating vitamin E and ten common cancers: evidence from large-scale Mendelian randomization analysis and a longitudinal cohort study
Xin, J., Jiang, X., Ben, S., Yuan, Q., Su, L., Zhang, Z., Christiani, D. C., Du, M., & Wang, M. (2022) · Figshare · doi:10.6084/m9.figshare.19745679
Additional file 1 of Comparative analysis of genetic risk scores for predicting biochemical recurrence in prostate cancer patients after radical prostatectomy
Hsieh, A.-R., Luo, Y.-L., Bao, B.-Y., & Chou, T.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26157251
Additional file 1 of Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes
Ruan, X., Huang, D., Huang, J., Tsu, J. H., & Na, R. (2023) · Figshare · doi:10.6084/m9.figshare.23639869
Additional file 4 of Circulating vitamin C concentration and risk of cancers: a Mendelian randomization study
Fu, Y., Xu, F., Jiang, L., Miao, Z., Liang, X., Yang, J., Larsson, S. C., & Zheng, J.-S. (2021) · Figshare · doi:10.6084/m9.figshare.15079693
Additional file 1 of Proteome-wide mendelian randomization study implicates therapeutic targets in common cancers
Ren, F., Jin, Q., Liu, T., Ren, X., & Zhan, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26618791
Additional file 3 of Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis
Bouras, E., Karhunen, V., Gill, D., Huang, J., Haycock, P. C., Gunter, M. J., Johansson, M., Brennan, P., Key, T., Lewis, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18132337
Self-citation
Additional file 2 of Causal associations between gut microbiota and urological tumors: a two-sample mendelian randomization study
Mingdong, W., Xiang, G., Yongjun, Q., Mingshuai, W., & Hao, P. (2023) · Figshare · doi:10.6084/m9.figshare.24123722
Genetic Support for the Increased Risk of Erectile Dysfunction in Prostate Cancer: A Bidirectional Mendelian Randomization Study
Ye, M., Chen, S., Wang, J., Zhang, C., Wu, Z., Ma, J., Chen, B., & Zhao, F. (2025) · Andrologia · doi:10.1155/and/8130830
Self-citation
Decoding the germline genetic architecture of prostate cancer at a single cell resolution
Wang, C., Tang, T., Wang, Y., & Li, J. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011975
Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 near CASP8Preprint
Kong, H., Choi, J., Zhang, T., Gräwe, C., Xu, M., Thakur, R., Sowards, H., Hennessey, R. C., Vu, A. H., Shi, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.06.697866
Challenges to case-only analysis for interaction detection using polygenic risk scores: model assumptions and biases in large biobanks
Zhang, W., Lu, Q., & Lu, T. (2026) · Genetics · doi:10.1093/genetics/iyag006
Causal association between socioeconomic disparities and tumors of the urinary system: A Mendelian randomization study
Chen, W.-W., Wu, B., & Wen, X. (2026) · Medicine · doi:10.1097/md.0000000000047216
“[18] Another GWAS summary statistics of prostate cancer came from UKB.”
Shared genetic architecture of psychoactive substance use and pan-cancer: insights from a large‑scale genome‑wide cross‑trait analysis
Song, J., Li, P., Canis, M., Unger, K., Haas, N. A., & Gires, O. (2026) · BMC Medicine · doi:10.1186/s12916-026-04677-3
“…ER − ) [49], colon cancer (COAD) [51], rectum cancer (READ) [51], bladder cancer (BLCA) [51], renal cell carcinoma (RCC) [51], cervical cancer (CESC) [51], uterine corpus endometrial cancer (UCEC) [51], malignant melanoma (MELA) [51], prostate cancer (PRAD) [60, 61], and ovarian cancer (OCAC) [62].”
Assessment of mosaic loss of chromosome Y in pulmonary fibrosis reveals limited association with susceptibility or disease severity
Wang, D., Hadad, N., Moss, S., López-Jiménez, E. A., Johnson, S. R., Maher, T. M., Molyneaux, P. L., Zhao, Y., Perry, J. R. B., Wolters, P. J., et al. (2026) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2025-003846
“Patients or the public were not involved in the design, or conduct, or reporting, or dissemination plans of our research.”
Generation of a comprehensive epigenomic atlas in clear cell renal cell carcinoma informs kidney cancer progression and heritability
Alaiwi, S. A., Adib, E., Zhang, Z., Spisák, S., Prósz, A. G., Cordeiro, P., Zarif, T. E., Sztupinszki, Z. M., Nassar, A. H., Seo, J.-H., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.116968 · Cited by 1
Self-citation
Single-cell transcriptome-wide Mendelian randomization and colocalization analyses reveal immune-cell-specific mechanisms and actionable drug targets in prostate cancerPreprint
Hong, Y., Wang, Y., Wang, Y., Chen, F., & Li, J. (2026) · medRxiv · doi:10.64898/2026.03.10.26348013
Improving the Accuracy of Polygenic Prediction for Precision Medicine: The Stacked Clumping and Thresholding Method
Penumarthi, K. S. (2025) · International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) · doi:10.1109/iccns66249.2025.11428358
Immune-mediated pathways between red blood cell traits and prostate cancer: a causal relationship network based on Mendelian randomization evaluation
Yang, T., Zhang, J., Li, J., Yan, Q., & Li, J. (2026) · The Aging Male · doi:10.1080/13685538.2026.2641901
Mapping prostate cancer pathobiology: A review of genetically engineered mouse models (GEMMs)
Pederzoli, F., Pakula, H., Rodrigues, S. D., Garner, R., Nuzzo, P. V., Bleve, S., Rickman, D. S., Fanelli, G. N., & Loda, M. F. (2026) · Gene · doi:10.1016/j.gene.2026.150131 · Cited by 2
Integrating BRCA1 and BRCA2 Pathogenic Variants with Polygenic Risk Scores
Yamada, R., & Momozawa, Y. (2026) · Springer eBooks · doi:10.1007/978-981-95-6580-1_6
Identification of immune cell type–specific susceptibility genes in multiple cancers using transcriptome-wide association studies
Qin, F., Hua, X., Wang, X., Zhang, H., Choi, J., Yang, X. R., Zhang, T., Machiela, M. J., Anyaso-Samuel, S., Landi, M. T., et al. (2026) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djag108
Self-citation
Developing a germline prostate cancer risk test incorporating rare and common variants, to inform clinical decisions: a route to precision oncology
Wakerell, S., Karlsson, Q., Merson, S., Rageevakumar, R., Saunders, E. J., Burns, D., Brook, M. N., Dadaev, T., Page, E. C., Thomas, S., et al. (2026) · Genome Medicine · doi:10.1186/s13073-026-01640-y
“The first panel included 130 common risk alleles (PRS_130), derived from a European based GWAS [27], as described previously [29] and later extended to cover 220 multi-ethnic PrCa risk variants (PRS_220, Additional file 1: Table S2), after a multi-ancestry GWAS meta-analysis identified additional…”
Self-citation
Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 near CASP8Preprint
Kong, H., Choi, J., Zhang, T., Gräwe, C., Xu, M., Thakur, R., Sowards, H., Hennessey, R. C., Vu, A. H., Shi, J., et al. (2026) · eLife · doi:10.7554/elife.110071
Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 near CASP8Preprint
Kong, H., Choi, J., Zhang, T., Gräwe, C., Xu, M., Thakur, R., Sowards, H., Hennessey, R. C., Vu, A. H., Shi, J., et al. (2026) · eLife · doi:10.7554/elife.110071.1
Tissue-specific transfer learning improves functional variant and therapeutic target discoveries in breast and prostate cancer
Li, Q., Wang, D., Zhang, Z., Perera, D., Chen, Z., Wen, W., MacDonald, M. E., Cai, W., Yan, J., Shu, X., et al. (2026) · PLoS Genetics · doi:10.1371/journal.pgen.1012145
Self-citation
Germline polygenic score for prostate cancer aggressivenessPreprint
Xu, G. J., Karunamuni, R. A., Dornisch, A. M., Brunette, C. A., Danowski, M. E., Desai, H., Dochtermann, D. R., Garraway, I. P., Hauger, R. L., Kibel, A. S., et al. (2026) · medRxiv · doi:10.64898/2026.05.07.26352488
Self-citation
A pan-cancer regulatory atlas of 6,983 GWAS variants prioritizes recurrent regulatory annotations and candidate programs at cancer risk lociPreprint
Dutta, S. (2026) · medRxiv · doi:10.64898/2026.05.16.26353369
High-risk prostate cancer screening – More Bang for our buck?
Ononye, R. N., Martins, T., Basu, S., Rosario, J., & Rosario, D. J. (2026) · Journal of Clinical Urology · doi:10.1177/20514158261443424
“22,23 The BARCODE1 trial evaluated this concept in a UK primary care population.”
Polygenic risk score with KLK3 SNP-SNP interaction pairs for predicting prostate cancer aggressiveness
Lin, H., Sarkar, I., Mazumder, H., Huang, P.-Y., Muir, K. R., Schleutker, J., Pashayan, N., Batra, J., Neal, D. E., Grönberg, H., et al. (2026) · Communications Medicine · doi:10.1038/s43856-026-01645-z
“The performanceofthePRSswasevaluatedbasedonthesigni ﬁ cancelevelofthe selected PRS in logistic regression, adjusting for the ﬁ rst 7 principal components of population strati ﬁ cation as suggested by the PRACTICAL study 31 .”
Self-citation
Breast cancer polygenic risk score performance varies by socioeconomic statusPreprint
Domian, H. I., Tian, X., Ong, D., Hamilton, L., Shieh, Y., & Musharoff, S. A. (2026) · medRxiv · doi:10.64898/2026.06.03.26354819
“PRS can improve disease risk assessment, including for breast cancer (Maas et al., 2016; Schumacher et al., 2018).”
Genomic Determinants of Lethality and Therapeutic Vulnerability in Castration-Resistant Prostate CancerPreprint
Rebernick, R. J., Hammer, L., Gondal, M. N., Parolia, A., Wu, Y., Hosseini, N., Schipper, M. J., Kumaraswamy, A., McFarlane, M., Cao, X., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.18.733209
MicroRNA Biogenesis Pathway Gene Variants Are Associated with Prostate Cancer Susceptibility
Gilyazova, I. R., Timasheva, Y., Ivanova, E., Gimalova, G., Измайлов, А. А., Abdeeva, G., Алиевич, Д. М., Balkhiyarova, Z., Prokopenko, I., Павлов, В. Н., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27125578
“This is illustrated by large GWAS-based PRSs, in which men in the highest PRS categories exhibit substantially elevated PrC risk compared with the average-risk population [19].”
Polygenic risk scores in cancer
Tüchler, A., Grohs, L., Volk, A. E., & Aretz, S. (2026) · Medizinische Genetik · doi:10.1515/medgen-2026-3011
“Over the past decade, GWAS have identified hundreds SNPs associated with PC risk, underscoring the highly polygenic architecture of the disease [8, 61, 69].”
Single-cell transcriptome-wide Mendelian randomization and colocalization analyses reveal immune-cell-specific mechanisms and actionable drug targets in prostate cancerPreprint
Hong, Y., Wang, Y., Wang, Y., Chen, F., & Li, J. (2026) · eLife · doi:10.7554/elife.110928.1
Single-cell transcriptome-wide Mendelian randomization and colocalization analyses reveal immune-cell-specific mechanisms and actionable drug targets in prostate cancerPreprint
Hong, Y., Wang, Y., Wang, Y., Chen, F., & Li, J. (2026) · eLife · doi:10.7554/elife.110928
Prostate Cancer Development, Progression, and Therapy
Jin, X., Xiao, Z., Ding, Z., Li, W., Zeng, R., Shuai, Y., Ci, W., Xia, D., Zhang, X., & Huang, H. (2026) · MedComm – Oncology · doi:10.1002/mog2.70082

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
Publisher: Springer Science and Business Media LLC
Published: 2018-06-11
Volume: 50
Issue: 7
Pages: 928-936
ISSN: 1061-4036 (ISSN-L)
1546-1718
DOI: 10.1038/s41588-018-0142-8
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
Funders: 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)
University of Southern California (C1281/A12014, C5047/A10692, C8197/A16565, C1287/A10118, C12292/A11174, C5047/A8384, W81XWH-10-1-0341, C5047/A15007, CA128978, C1287/A16563, HEALTH-F2-2009-223175)
Aarhus Universitet
Aarhus Universitetshospital
Case Western Reserve University
Harvard T.H. Chan School of Public Health
Institut for Klinisk Medicin, Aarhus Universitet
National Cancer Research Institute
Royal Marsden NHS Foundation Trust
Australian Prostate Cancer Research
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
University of Warwick
University College London
University of Oxford
European Commission (C1287/A10118, W81XWH-10-1-0341, C1281/A12014, C1287/A16563, C5047/A10692, C5047/A8384, C12292/A11174, C5047/A15007, C8197/A16565, CA128978, 223175)
University of Bristol
Prostate Cancer Foundation of Australia
Monash University
Griffith University
Queensland University of Technology
Cambridge University Hospitals
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 ›

Are you an author, or do you see a problem with this page? Request a review

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks