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17 results on '"Gamulin, Marija"'

1. A PSA SNP associates with cellular function and clinical outcome in men with prostate cancer.

Author

Srinivasan S, Kryza T, Bock N, Tse BWC, Sokolowski KA, Janaththani P, Fernando A, Moya L, Stephens C, Dong Y, Röhl J, Alinezhad S, Vela I, Perry-Keene JL, Buzacott K, Nica R, Gago-Dominguez M, Schleutker J, Maier C, Muir K, Tangen CM, Gronberg H, Pashayan N, Albanes D, Wolk A, Stanford JL, Berndt SI, Mucci LA, Koutros S, Cussenot O, Sorensen KD, Grindedal EM, Travis RC, Haiman CA, MacInnis RJ, Vega A, Wiklund F, Neal DE, Kogevinas M, Penney KL, Nordestgaard BG, Brenner H, John EM, Gamulin M, Claessens F, Melander O, Dahlin A, Stattin P, Hallmans G, Häggström C, Johansson R, Thysell E, Rönn AC, Li W, Brown N, Dimeski G, Shepherd B, Dadaev T, Brook MN, Spurdle AB, Stenman UH, Koistinen H, Kote-Jarai Z, Klein RJ, Lilja H, Ecker RC, Eeles R, Clements J, and Batra J

Subjects
Male, Humans, Genetic Predisposition to Disease, Aged, Animals, Chromosomes, Human, Pair 19 genetics, Middle Aged, Mice, Alleles, Cell Line, Tumor, Prostatic Neoplasms genetics, Prostatic Neoplasms pathology, Prostatic Neoplasms metabolism, Prostatic Neoplasms mortality, Polymorphism, Single Nucleotide, Prostate-Specific Antigen blood, Prostate-Specific Antigen metabolism, Kallikreins genetics, Kallikreins metabolism
Abstract

Genetic variation at the 19q13.3 KLK locus is linked with prostate cancer susceptibility in men. The non-synonymous KLK3 single nucleotide polymorphism (SNP), rs17632542 (c.536 T > C; Ile163Thr-substitution in PSA) is associated with reduced prostate cancer risk, however, the functional relevance is unknown. Here, we identify that the SNP variant-induced change in PSA biochemical activity mediates prostate cancer pathogenesis. The 'Thr' PSA variant leads to small subcutaneous tumours, supporting reduced prostate cancer risk. However, 'Thr' PSA also displays higher metastatic potential with pronounced osteolytic activity in an experimental metastasis in-vivo model. Biochemical characterisation of this PSA variant demonstrates markedly reduced proteolytic activity that correlates with differences in in-vivo tumour burden. The SNP is associated with increased risk for aggressive disease and prostate cancer-specific mortality in three independent cohorts, highlighting its critical function in mediating metastasis. Carriers of this SNP allele have reduced serum total PSA and a higher free/total PSA ratio that could contribute to late biopsy decisions and delay in diagnosis. Our results provide a molecular explanation for the prominent 19q13.3 KLK locus, rs17632542 SNP, association with a spectrum of prostate cancer clinical outcomes., (© 2024. The Author(s).)

Published
2024
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2. Clinical utility of [68Ga]Ga-PSMA-11 PET/CT in initial staging of patients with prostate cancer and importance of intraprostatic SUVmax values.

Author

Rogic I, Golubic AT, Zuvic M, Smitran T, Jukic N, Gamulin M, Kastelan Z, and Huic D

Subjects
Aged, Aged, 80 and over, Humans, Male, Middle Aged, Edetic Acid analogs & derivatives, Gallium Isotopes, Gallium Radioisotopes, Oligopeptides, Positron Emission Tomography Computed Tomography, Prostate-Specific Antigen blood, Retrospective Studies, Neoplasm Staging, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms pathology
Abstract

Background: As in disease recurrence, providing clinicians with the exact extent of the disease at the time of initial diagnosis is key in the management and individual treatment of prostate cancer (PC) patients. Intending to examine the usefulness of gallium- 68 PSMA-11 positron emission tomography/computed tomography ([68Ga]Ga-PSMA-11 PET/CT) and to determine if there is a correlation between prostate-specific antigen (PSA) serum values, WHO/ISUP (World Health Organization/International Society of Urological Pathology's) grade group of the tumor and SUVmax (maximized standardized uptake value) values we retrospectively analyzed PET/CT studies performed for initial staging of the disease., Patients and Methods: We retrospectively evaluated 34 studies of patients who underwent [68Ga]Ga-PSMA-11 PET/CT as part of the initial staging of prostate cancer. All patients had prostate cancer confirmed by histological assessment after biopsy and had Gleason score and PSA serum values obtained. The mean PSA value was 33.8 ± 40.9 nmol/L (range 2.2-232)., Results: Nineteen patients had extended disease (55.9%). The mean SUVmax in prostate lesions was 19.5 ± 12.6. The mean value of SUVmax of PET studies in the high-risk group was significantly higher than those of low risk (23.5 ± 13.2 and 10.6 ± 5.4, p < 0.05). A positive correlation was observed between the ISUP group and SUVmax value of prostate lesions (Pearson's r = 0.557, p < 0.01). A positive correlation was also found in the comparison between PSA values and SUVmax (Pearson's r = 0.34, p < 0.05)., Conclusions: In our study, [68Ga]Ga-PSMA-11 PET/CT scans detected the extended disease in more than half of the patients. Locating disease beyond the prostate gland allowed better informed clinical decisions and modified treatment. A positive correlation was found between intraprostatic SUVmax values and the ISUP group of prostate cancer. High-risk patients had SUVmax values that were significantly higher than those of low-risk patients. The correlation between the Gleason score and SUVmax value can be explained by the increased intensity of PSMA expression as the tumor grade increases.

Published
2024
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3. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Author

Wang A, Shen J, Rodriguez AA, Saunders EJ, Chen F, Janivara R, Darst BF, Sheng X, Xu Y, Chou AJ, Benlloch S, Dadaev T, Brook MN, Plym A, Sahimi A, Hoffman TJ, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Laisk T, Figuerêdo J, Muir K, Ito S, Liu X, Uchio Y, Kubo M, Kamatani Y, Lophatananon A, Wan P, Andrews C, Lori A, Choudhury PP, Schleutker J, Tammela TLJ, Sipeky C, Auvinen A, Giles GG, Southey MC, MacInnis RJ, Cybulski C, Wokolorczyk D, Lubinski J, Rentsch CT, Cho K, Mcmahon BH, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nordestgaard BG, Nielsen SF, Weischer M, Bojesen SE, Røder A, Stroomberg HV, Batra J, Chambers S, Horvath L, Clements JA, Tilly W, Risbridger GP, Gronberg H, Aly M, Szulkin R, Eklund M, Nordstrom T, Pashayan N, Dunning AM, Ghoussaini M, Travis RC, Key TJ, Riboli E, Park JY, Sellers TA, Lin HY, Albanes D, Weinstein S, Cook MB, Mucci LA, Giovannucci E, Lindstrom S, Kraft P, Hunter DJ, Penney KL, Turman C, Tangen CM, Goodman PJ, Thompson IM Jr, Hamilton RJ, Fleshner NE, Finelli A, Parent MÉ, Stanford JL, Ostrander EA, Koutros S, Beane Freeman LE, Stampfer M, Wolk A, Håkansson N, Andriole GL, Hoover RN, Machiela MJ, Sørensen KD, Borre M, Blot WJ, Zheng W, Yeboah ED, Mensah JE, Lu YJ, Zhang HW, Feng N, Mao X, Wu Y, Zhao SC, Sun Z, Thibodeau SN, McDonnell SK, Schaid DJ, West CML, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou YA, John EM, Grindedal EM, Maehle L, Khaw KT, Ingles SA, Stern MC, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein BS, Kerns SL, Ostrer H, Teixeira MR, Paulo P, Brandão A, Watya S, Lubwama A, Bensen JT, Butler EN, Mohler JL, Taylor JA, Kogevinas M, Dierssen-Sotos T, Castaño-Vinyals G, Cannon-Albright L, Teerlink CC, Huff CD, Pilie P, Yu Y, Bohlender RJ, Gu J, Strom SS, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach RJ, Brenner H, Chen X, Holleczek B, Schöttker B, Klein EA, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Kim J, Neuhausen SL, Steele L, Ding YC, Isaacs WB, Nemesure B, Hennis AJM, Carpten J, Pandha H, Michael A, De Ruyck K, De Meerleer G, Ost P, Xu J, Razack A, Lim J, Teo SH, Newcomb LF, Lin DW, Fowke JH, Neslund-Dudas CM, Rybicki BA, Gamulin M, Lessel D, Kulis T, Usmani N, Abraham A, Singhal S, Parliament M, Claessens F, Joniau S, Van den Broeck T, Gago-Dominguez M, Castelao JE, Martinez ME, Larkin S, Townsend PA, Aukim-Hastie C, Bush WS, Aldrich MC, Crawford DC, Srivastava S, Cullen J, Petrovics G, Casey G, Wang Y, Tettey Y, Lachance J, Tang W, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Yamoah K, Govindasami K, Chokkalingam AP, Keaton JM, Hellwege JN, Clark PE, Jalloh M, Gueye SM, Niang L, Ogunbiyi O, Shittu O, Amodu O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Diop H, Gundell SM, Roobol MJ, Jenster G, van Schaik RHN, Hu JJ, Sanderson M, Kachuri L, Varma R, McKean-Cowdin R, Torres M, Preuss MH, Loos RJF, Zawistowski M, Zöllner S, Lu Z, Van Den Eeden SK, Easton DF, Ambs S, Edwards TL, Mägi R, Rebbeck TR, Fritsche L, Chanock SJ, Berndt SI, Wiklund F, Nakagawa H, Witte JS, Gaziano JM, Justice AC, Mancuso N, Terao C, Eeles RA, Kote-Jarai Z, Madduri RK, Conti DV, and Haiman CA

Subjects
Humans, Male, Black People genetics, Genome-Wide Association Study, Hispanic or Latino genetics, Polymorphism, Single Nucleotide, Risk Factors, White People genetics, Asian People genetics, Genetic Predisposition to Disease, Prostatic Neoplasms genetics
Abstract

The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups., (© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Published
2023
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4. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry.

Author

Darst BF, Shen J, Madduri RK, Rodriguez AA, Xiao Y, Sheng X, Saunders EJ, Dadaev T, Brook MN, Hoffmann TJ, Muir K, Wan P, Le Marchand L, Wilkens L, Wang Y, Schleutker J, MacInnis RJ, Cybulski C, Neal DE, Nordestgaard BG, Nielsen SF, Batra J, Clements JA, Cancer BioResource AP, Grönberg H, Pashayan N, Travis RC, Park JY, Albanes D, Weinstein S, Mucci LA, Hunter DJ, Penney KL, Tangen CM, Hamilton RJ, Parent MÉ, Stanford JL, Koutros S, Wolk A, Sørensen KD, Blot WJ, Yeboah ED, Mensah JE, Lu YJ, Schaid DJ, Thibodeau SN, West CM, Maier C, Kibel AS, Cancel-Tassin G, Menegaux F, John EM, Grindedal EM, Khaw KT, Ingles SA, Vega A, Rosenstein BS, Teixeira MR, Kogevinas M, Cannon-Albright L, Huff C, Multigner L, Kaneva R, Leach RJ, Brenner H, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Neuhausen SL, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, De Ruyck K, Xu J, Razack A, Teo SH, Newcomb LF, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Castelao JE, Townsend PA, Crawford DC, Petrovics G, Casey G, Roobol MJ, Hu JF, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F, Witte JS, Eeles RA, Kote-Jarai Z, Watya S, Gaziano JM, Justice AC, Conti DV, and Haiman CA

Subjects
Humans, Male, Black People genetics, Genome-Wide Association Study, Multifactorial Inheritance genetics, Risk Factors, White People genetics, Genetic Predisposition to Disease, Prostatic Neoplasms genetics
Abstract

Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS 269 ). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS 269 . Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI = 0.635-0.677) in African and 0.844 (95% CI = 0.840-0.848) in European ancestry men and corresponding prostate cancer ORs of 1.83 (95% CI = 1.67-2.00) and 2.19 (95% CI = 2.14-2.25), respectively, for each SD unit increase in the GW-PRS. Compared to the GW-PRS, in African and European ancestry men, the PRS 269 had larger or similar AUCs (AUC = 0.679, 95% CI = 0.659-0.700 and AUC = 0.845, 95% CI = 0.841-0.849, respectively) and comparable prostate cancer ORs (OR = 2.05, 95% CI = 1.87-2.26 and OR = 2.21, 95% CI = 2.16-2.26, respectively). Findings were similar in the validation studies. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the PRS 269 developed from multi-ancestry GWASs and fine-mapping., Competing Interests: Declaration of interests The authors have no conflicts of interest to disclose., (Copyright © 2023 American Society of Human Genetics. All rights reserved.)

Published
2023
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5. Comprehensive Clinical and Genetic Analysis of CHEK2 in Croatian Men with Prostate Cancer.

Author

Kirchner K, Gamulin M, Kulis T, Sievers B, Kastelan Z, and Lessel D

Subjects
Male, Humans, Croatia, Prostate pathology, Neoplasm Grading, Checkpoint Kinase 2 genetics, Germ-Line Mutation, Prostatic Neoplasms genetics, Prostatic Neoplasms pathology
Abstract

Germline pathogenic and likely pathogenic (P/LP) variants in CHEK2 have been associated with increased prostate cancer (PrCa) risk. Our objective was to analyze their occurrence in Croatian PrCa men and to evaluate the clinical characteristics of P/LP variant carriers. Therefore, we analyzed CHEK2 in 150 PrCa patients unselected for age of onset, family history of PrCa or clinical outcome, and the frequency of identified variants was compared to findings in 442 cancer-free men, of Croatian ancestry. We identified four PrCa cases harboring a P/LP variant in CHEK2 (4/150, 2.67%), which reached a statistical significance ( p = 0.004) as compared to the control group. Patients with P/LP variants in CHEK2 developed PrCa almost 9 years earlier than individuals with CHEK2 wild-type alleles (8.9 years; p = 0.0198) and had an increased risk for lymph node involvement ( p = 0.0047). No association was found between CHEK2 status and further clinical characteristics, including the Gleason score, occurrence of aggressive PrCa, the tumor or metastasis stage. However, carriers of the most common P/LP CHEK2 variant, the c.1100delC, p.Thr367Met fs 15*, had a significantly higher Gleason score ( p = 0.034), risk for lymph node involvement ( p = 0.0001), and risk for developing aggressive PrCa ( p = 0.027). Thus, in a Croatian population, CHEK2 P/LP variant carriers were associated with increased risk for early onset prostate cancer, and carriers of the c.1100delC, p.Thr367Met fs 15* had increased risk for aggressive PrCa.

Published
2022
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6. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score.

Author

Huynh-Le MP, Karunamuni R, Fan CC, Asona L, Thompson WK, Martinez ME, Eeles RA, Kote-Jarai Z, Muir KR, Lophatananon A, Schleutker J, Pashayan N, Batra J, Grönberg H, Neal DE, Nordestgaard BG, Tangen CM, MacInnis RJ, Wolk A, Albanes D, Haiman CA, Travis RC, Blot WJ, Stanford JL, Mucci LA, West CML, Nielsen SF, Kibel AS, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Menegaux F, Park JY, Ingles SA, Maier C, Hamilton RJ, Rosenstein BS, Lu YJ, Watya S, Vega A, Kogevinas M, Wiklund F, Penney KL, Huff CD, Teixeira MR, Multigner L, Leach RJ, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, De Ruyck K, Ost P, Razack A, Newcomb LF, Fowke JH, Gamulin M, Abraham A, Claessens F, Castelao JE, Townsend PA, Crawford DC, Petrovics G, van Schaik RHN, Parent MÉ, Hu JJ, Zheng W, Mills IG, Andreassen OA, Dale AM, and Seibert TM

Subjects
Male, Humans, Early Detection of Cancer, Polymorphism, Single Nucleotide, Risk Factors, Risk Assessment, Genetic Predisposition to Disease, Prostate-Specific Antigen genetics, Prostatic Neoplasms diagnosis, Prostatic Neoplasms genetics
Abstract

Background: Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets., Methods: In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured., Results: The final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively., Conclusions: We demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations., (© 2022. The Author(s).)

Published
2022
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7. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.

Author

Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Schleutker J, Pashayan N, Batra J, Grönberg H, Walsh EI, Turner EL, Lane A, Martin RM, Neal DE, Donovan JL, Hamdy FC, Nordestgaard BG, Tangen CM, MacInnis RJ, Wolk A, Albanes D, Haiman CA, Travis RC, Stanford JL, Mucci LA, West CML, Nielsen SF, Kibel AS, Wiklund F, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Park JY, Ingles SA, Maier C, Hamilton RJ, Rosenstein BS, Vega A, Kogevinas M, Penney KL, Teixeira MR, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, Razack A, Newcomb LF, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Townsend PA, Roobol MJ, Zheng W, Mills IG, Andreassen OA, Dale AM, and Seibert TM

Subjects
Adult, Aged, Follow-Up Studies, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Prostatic Neoplasms epidemiology, Prostatic Neoplasms genetics, Risk Factors, Biomarkers, Tumor genetics, Models, Statistical, Polymorphism, Single Nucleotide, Prostatic Neoplasms pathology, Risk Assessment methods
Abstract

Background: Polygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46)., Materials and Method: 180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy., Results: 166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer., Conclusions: Incorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.

Published
2021
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8. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.

Author

Huynh-Le MP, Fan CC, Karunamuni R, Thompson WK, Martinez ME, Eeles RA, Kote-Jarai Z, Muir K, Schleutker J, Pashayan N, Batra J, Grönberg H, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nielsen SF, Nordestgaard BG, Wiklund F, Tangen CM, Giles GG, Wolk A, Albanes D, Travis RC, Blot WJ, Zheng W, Sanderson M, Stanford JL, Mucci LA, West CML, Kibel AS, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Menegaux F, Khaw KT, Park JY, Ingles SA, Maier C, Hamilton RJ, Thibodeau SN, Rosenstein BS, Lu YJ, Watya S, Vega A, Kogevinas M, Penney KL, Huff C, Teixeira MR, Multigner L, Leach RJ, Cannon-Albright L, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, De Ruyck K, Pandha H, Razack A, Newcomb LF, Fowke JH, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Townsend PA, Bush WS, Roobol MJ, Parent MÉ, Hu JJ, Mills IG, Andreassen OA, Dale AM, and Seibert TM

Subjects
Aged, Humans, Male, Middle Aged, Multivariate Analysis, Neoplasm Invasiveness, Self Report, Ethnicity genetics, Multifactorial Inheritance genetics, Prostatic Neoplasms genetics
Abstract

Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS 1 ) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS 2 (PHS 1 , adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS 2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10 -180 ). Comparing the 80 th /20 th PHS 2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS 2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset.

Published
2021
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9. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Author

Conti DV, Darst BF, Moss LC, Saunders EJ, Sheng X, Chou A, Schumacher FR, Olama AAA, Benlloch S, Dadaev T, Brook MN, Sahimi A, Hoffmann TJ, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Muir K, Lophatananon A, Wan P, Le Marchand L, Wilkens LR, Stevens VL, Gapstur SM, Carter BD, Schleutker J, Tammela TLJ, Sipeky C, Auvinen A, Giles GG, Southey MC, MacInnis RJ, Cybulski C, Wokołorczyk D, Lubiński J, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nordestgaard BG, Nielsen SF, Weischer M, Bojesen SE, Røder MA, Iversen P, Batra J, Chambers S, Moya L, Horvath L, Clements JA, Tilley W, Risbridger GP, Gronberg H, Aly M, Szulkin R, Eklund M, Nordström T, Pashayan N, Dunning AM, Ghoussaini M, Travis RC, Key TJ, Riboli E, Park JY, Sellers TA, Lin HY, Albanes D, Weinstein SJ, Mucci LA, Giovannucci E, Lindstrom S, Kraft P, Hunter DJ, Penney KL, Turman C, Tangen CM, Goodman PJ, Thompson IM Jr, Hamilton RJ, Fleshner NE, Finelli A, Parent MÉ, Stanford JL, Ostrander EA, Geybels MS, Koutros S, Freeman LEB, Stampfer M, Wolk A, Håkansson N, Andriole GL, Hoover RN, Machiela MJ, Sørensen KD, Borre M, Blot WJ, Zheng W, Yeboah ED, Mensah JE, Lu YJ, Zhang HW, Feng N, Mao X, Wu Y, Zhao SC, Sun Z, Thibodeau SN, McDonnell SK, Schaid DJ, West CML, Burnet N, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou YA, John EM, Grindedal EM, Maehle L, Khaw KT, Ingles SA, Stern MC, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein BS, Kerns SL, Ostrer H, Teixeira MR, Paulo P, Brandão A, Watya S, Lubwama A, Bensen JT, Fontham ETH, Mohler J, Taylor JA, Kogevinas M, Llorca J, Castaño-Vinyals G, Cannon-Albright L, Teerlink CC, Huff CD, Strom SS, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach RJ, Weaver B, Brenner H, Cuk K, Holleczek B, Saum KU, Klein EA, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Kim J, Neuhausen SL, Steele L, Ding YC, Isaacs WB, Nemesure B, Hennis AJM, Carpten J, Pandha H, Michael A, De Ruyck K, De Meerleer G, Ost P, Xu J, Razack A, Lim J, Teo SH, Newcomb LF, Lin DW, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Lessel D, Kulis T, Usmani N, Singhal S, Parliament M, Claessens F, Joniau S, Van den Broeck T, Gago-Dominguez M, Castelao JE, Martinez ME, Larkin S, Townsend PA, Aukim-Hastie C, Bush WS, Aldrich MC, Crawford DC, Srivastava S, Cullen JC, Petrovics G, Casey G, Roobol MJ, Jenster G, van Schaik RHN, Hu JJ, Sanderson M, Varma R, McKean-Cowdin R, Torres M, Mancuso N, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F, Nakagawa H, Witte JS, Eeles RA, Kote-Jarai Z, and Haiman CA

Subjects
Humans, Male, Middle Aged, Molecular Sequence Annotation, Neoplasm Invasiveness, Odds Ratio, Prostatic Neoplasms diagnosis, Risk Factors, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Prostatic Neoplasms genetics, Racial Groups genetics
Abstract

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.

Published
2021
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10. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Author

Schumacher FR, Al Olama AA, Berndt SI, Benlloch S, Ahmed M, Saunders EJ, Dadaev T, Leongamornlert D, Anokian E, Cieza-Borrella C, Goh C, Brook MN, Sheng X, Fachal L, Dennis J, Tyrer J, Muir K, Lophatananon A, Stevens VL, Gapstur SM, Carter BD, Tangen CM, Goodman PJ, Thompson IM Jr, Batra J, Chambers S, Moya L, Clements J, Horvath L, Tilley W, Risbridger GP, Gronberg H, Aly M, Nordström T, Pharoah P, Pashayan N, Schleutker J, Tammela TLJ, Sipeky C, Auvinen A, Albanes D, Weinstein S, Wolk A, Håkansson N, West CML, Dunning AM, Burnet N, Mucci LA, Giovannucci E, Andriole GL, Cussenot O, Cancel-Tassin G, Koutros S, Beane Freeman LE, Sorensen KD, Orntoft TF, Borre M, Maehle L, Grindedal EM, Neal DE, Donovan JL, Hamdy FC, Martin RM, Travis RC, Key TJ, Hamilton RJ, Fleshner NE, Finelli A, Ingles SA, Stern MC, Rosenstein BS, Kerns SL, Ostrer H, Lu YJ, Zhang HW, Feng N, Mao X, Guo X, Wang G, Sun Z, Giles GG, Southey MC, MacInnis RJ, FitzGerald LM, Kibel AS, Drake BF, Vega A, Gómez-Caamaño A, Szulkin R, Eklund M, Kogevinas M, Llorca J, Castaño-Vinyals G, Penney KL, Stampfer M, Park JY, Sellers TA, Lin HY, Stanford JL, Cybulski C, Wokolorczyk D, Lubinski J, Ostrander EA, Geybels MS, Nordestgaard BG, Nielsen SF, Weischer M, Bisbjerg R, Røder MA, Iversen P, Brenner H, Cuk K, Holleczek B, Maier C, Luedeke M, Schnoeller T, Kim J, Logothetis CJ, John EM, Teixeira MR, Paulo P, Cardoso M, Neuhausen SL, Steele L, Ding YC, De Ruyck K, De Meerleer G, Ost P, Razack A, Lim J, Teo SH, Lin DW, Newcomb LF, 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 PA, Aukim-Hastie C, Gago-Dominguez M, Castelao JE, Martinez ME, Roobol MJ, Jenster G, van Schaik RHN, Menegaux F, Truong T, Koudou YA, Xu J, Khaw KT, Cannon-Albright L, Pandha H, Michael A, Thibodeau SN, McDonnell SK, Schaid DJ, Lindstrom S, Turman C, Ma J, Hunter DJ, Riboli E, Siddiq A, Canzian F, Kolonel LN, Le Marchand L, Hoover RN, Machiela MJ, Cui Z, Kraft P, Amos CI, Conti DV, Easton DF, Wiklund F, Chanock SJ, Henderson BE, Kote-Jarai Z, Haiman CA, and Eeles RA

Subjects
Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study methods, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Risk, Prostatic Neoplasms genetics
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 .

Published
2018
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11. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants.

Author

Dadaev T, Saunders EJ, Newcombe PJ, Anokian E, Leongamornlert DA, Brook MN, Cieza-Borrella C, Mijuskovic M, Wakerell S, Olama AAA, Schumacher FR, Berndt SI, Benlloch S, Ahmed M, Goh C, Sheng X, Zhang Z, Muir K, Govindasami K, Lophatananon A, Stevens VL, Gapstur SM, Carter BD, Tangen CM, Goodman P, Thompson IM Jr, Batra J, Chambers S, Moya L, Clements J, Horvath L, Tilley W, Risbridger G, Gronberg H, Aly M, Nordström T, Pharoah P, Pashayan N, Schleutker J, Tammela TLJ, Sipeky C, Auvinen A, Albanes D, Weinstein S, Wolk A, Hakansson N, West C, Dunning AM, Burnet N, Mucci L, Giovannucci E, Andriole G, Cussenot O, Cancel-Tassin G, Koutros S, Freeman LEB, Sorensen KD, Orntoft TF, Borre M, Maehle L, Grindedal EM, Neal DE, Donovan JL, Hamdy FC, Martin RM, Travis RC, Key TJ, Hamilton RJ, Fleshner NE, Finelli A, Ingles SA, Stern MC, Rosenstein B, Kerns S, Ostrer H, Lu YJ, Zhang HW, Feng N, Mao X, Guo X, Wang G, Sun Z, Giles GG, Southey MC, MacInnis RJ, FitzGerald LM, Kibel AS, Drake BF, Vega A, Gómez-Caamaño A, Fachal L, Szulkin R, Eklund M, Kogevinas M, Llorca J, Castaño-Vinyals G, Penney KL, Stampfer M, Park JY, Sellers TA, Lin HY, Stanford JL, Cybulski C, Wokolorczyk D, Lubinski J, Ostrander EA, Geybels MS, Nordestgaard BG, Nielsen SF, Weisher M, Bisbjerg R, Røder MA, Iversen P, Brenner H, Cuk K, Holleczek B, Maier C, Luedeke M, Schnoeller T, Kim J, Logothetis CJ, John EM, Teixeira MR, Paulo P, Cardoso M, Neuhausen SL, Steele L, Ding YC, De Ruyck K, De Meerleer G, Ost P, Razack A, Lim J, Teo SH, Lin DW, Newcomb LF, Lessel D, Gamulin M, Kulis T, Kaneva R, Usmani N, Slavov C, Mitev V, Parliament M, Singhal S, Claessens F, Joniau S, Van den Broeck T, Larkin S, Townsend PA, Aukim-Hastie C, Gago-Dominguez M, Castelao JE, Martinez ME, Roobol MJ, Jenster G, van Schaik RHN, Menegaux F, Truong T, Koudou YA, Xu J, Khaw KT, Cannon-Albright L, Pandha H, Michael A, Kierzek A, Thibodeau SN, McDonnell SK, Schaid DJ, Lindstrom S, Turman C, Ma J, Hunter DJ, Riboli E, Siddiq A, Canzian F, Kolonel LN, Le Marchand L, Hoover RN, Machiela MJ, Kraft P, Freedman M, Wiklund F, Chanock S, Henderson BE, Easton DF, Haiman CA, Eeles RA, Conti DV, and Kote-Jarai Z

Subjects
Algorithms, Bayes Theorem, Black People genetics, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Molecular Sequence Annotation, Multivariate Analysis, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk, White People genetics, Prostatic Neoplasms genetics
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

Published
2018
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12. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Author

Huynh-Le, Minh-Phuong, Karunamuni, Roshan, Fan, Chun Chieh, Asona, Lui, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth R, Lophatananon, Artitaya, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Blot, William J, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Wiklund, Fredrik, Penney, Kathryn L, Huff, Chad D, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Ost, Piet, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Abraham, Aswin, Claessens, Frank, Castelao, Jose Esteban, Townsend, Paul A, Crawford, Dana C, Petrovics, Gyorgy, Van Schaik, Ron HN, Parent, Marie-Élise, Hu, Jennifer J, Zheng, Wei, UKGPCS Collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, IMPACT Study Steering Committee And Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, Huynh-Le, Minh-Phuong [0000-0002-5025-4709], Fan, Chun Chieh [0000-0001-9437-2128], Asona, Lui [0000-0002-0076-3492], Eeles, Rosalind A [0000-0002-3698-6241], Muir, Kenneth R [0000-0001-6429-988X], Schleutker, Johanna [0000-0002-1863-0305], Pashayan, Nora [0000-0003-0843-2468], Batra, Jyotsna [0000-0003-4646-6247], Grönberg, Henrik [0000-0002-1073-2753], Nordestgaard, Børge G [0000-0002-1954-7220], Wolk, Alicja [0000-0001-7387-6845], Travis, Ruth C [0000-0002-9571-0763], West, Catharine ML [0000-0002-0839-3449], Sørensen, Karina Dalsgaard [0000-0002-4902-5490], Menegaux, Florence [0000-0003-3363-6411], Park, Jong Y [0000-0002-6384-6447], Lu, Yong-Jie [0000-0001-6174-6621], Vega, Ana [0000-0002-7416-5137], Kogevinas, Manolis [0000-0002-9605-0461], Wiklund, Fredrik [0000-0002-4623-0544], Teixeira, Manuel R [0000-0002-4896-5982], Multigner, Luc [0000-0003-3205-8568], Brenner, Hermann [0000-0002-6129-1572], Ost, Piet [0000-0002-2203-4848], Fowke, Jay H [0000-0003-3803-8162], Gamulin, Marija [0000-0003-2431-7910], Abraham, Aswin [0000-0003-0024-3339], Crawford, Dana C [0000-0002-6437-6248], Petrovics, Gyorgy [0000-0003-3732-284X], Parent, Marie-Élise [0000-0002-4196-3773], Zheng, Wei [0000-0003-1226-070X], Seibert, Tyler M [0000-0002-4089-7399], and Apollo - University of Cambridge Repository

Subjects
Male, Urologic Diseases, Aging, Oncology and Carcinogenesis, Polymorphism, Single Nucleotide, Risk Assessment, UKGPCS collaborators, Risk Factors, NC-LA PCaP Investigators, Genetics, PRACTICAL Consortium, Humans, Genetic Predisposition to Disease, Polymorphism, Early Detection of Cancer, Cancer, Canary PASS Investigators, IMPACT Study Steering Committee and Collaborators, Profile Study Steering Committee, Prevention, Prostate Cancer, APCB, Prostatic Neoplasms, Single Nucleotide, Prostate-Specific Antigen, Urology & Nephrology, Good Health and Well Being
Abstract

Funder: University of California (#C21CR2060), the Prostate Cancer Foundation, Funder: Research Council of Norway (#223273), KG Jebsen Stiftelsen, and South East Norway Health Authority, BACKGROUND: Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. METHODS: In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured. RESULTS: The final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively. CONCLUSIONS: We demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.

Published
2022

13. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Lophatananon, Artitaya, UKGPCS collaborators, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, APCB BioResource (Australian Prostate Cancer BioResource), Grönberg, Henrik, Walsh, Eleanor I, Turner, Emma L, Lane, Athene, Martin, Richard M, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Wiklund, Fredrik, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Vega, Ana, IMPACT Study Steering Committee and Collaborators, Kogevinas, Manolis, Penney, Kathryn L, Teixeira, Manuel R, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, Razack, Azad, Newcomb, Lisa F, Canary PASS Investigators, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Roobol, Monique J, Zheng, Wei, Profile Study Steering Committee, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, and PRACTICAL Consortium

Subjects
Adult, Male, Urologic Diseases, Aging, Oncology and Carcinogenesis, Risk Assessment, APCB BioResource, UKGPCS collaborators, Models, Risk Factors, Predictive Value of Tests, Humans, PRACTICAL Consortium, Polymorphism, Aged, Cancer, Canary PASS Investigators, Tumor, IMPACT Study Steering Committee and Collaborators, Profile Study Steering Committee, Prevention, Prostate Cancer, Prostatic Neoplasms, Single Nucleotide, Statistical, Middle Aged, Urology & Nephrology, Prognosis, Biomarkers, Follow-Up Studies
Abstract

BackgroundPolygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).Materials and method180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy.Results166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer.ConclusionsIncorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.

Published
2021

14. Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author

Matejcic, Marco, Saunders, Edward J., Dadaev, Tokhir, Brook, Mark N., Wang, Kan, Sheng, Xin, Olama, Ali Amin Al, Schumacher, Fredrick R., Ingles, Sue A., Govindasami, Koveela, Benlloch, Sara, Berndt, Sonja I., Albanes, Demetrius, Koutros, Stella, Muir, Kenneth, Stevens, Victoria L., Gapstur, Susan M., Tangen, Catherine M., Batra, Jyotsna, Clements, Judith, Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Wolk, Alicja, West, Catharine, Mucci, Lorelei, Kraft, Peter, Cancel-Tassin, Géraldine, Sorensen, Karina D., Maehle, Lovise, Grindedal, Eli M., Strom, Sara S., Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Rosenstein, Barry, Lu, Yong-Jie, Giles, Graham G., Kibel, Adam S., Vega, Ana, Bensen, Jeanette T., Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Brenner, Hermann, Maier, Christiane, Kim, Jeri, Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Gago-Dominguez, Manuela, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa A., Pandha, Hardev, Thibodeau, Stephen N., Schaid, Daniel J., Henderson, Brian E., Stern, Mariana C., Thwaites, Alison, Guy, Michelle, Whitmore, Ian, Morgan, Angela, Fisher, Cyril, Hazel, Steve, Livni, Naomi, Cook, Margaret, Fachal, Laura, Weinstein, Stephanie, Beane Freeman, Laura E., Hoover, Robert N., Machiela, Mitchell J., Lophatananon, Artitaya, Carter, Brian D., Goodman, Phyllis J., Moya, Leire, Srinivasan, Srilakshmi, Kedda, Mary-Anne, Yeadon, Trina, Eckert, Allison, Eklund, Martin, Cavalli-Bjoerkman, Carin, Dunning, Alison M., Sipeky, Csilla, Hakansson, Niclas, Elliott, Rebecca, Ranu, Hardeep, Giovannucci, Edward, Turman, Constance, Hunter, David J., Cussenot, Olivier, Orntoft, Torben Falck, Lane, Athene, Lewis, Sarah J., Davis, Michael, Key, Tim J., Brown, Paul, Kulkarni, Girish S., Zlotta, Alexandre R., Fleshner, Neil E., Finelli, Antonio, Mao, Xueying, Marzec, Jacek, MacInnis, Robert J., Milne, Roger, Hopper, John L., Aguado, Miguel, Bustamante, Mariona, Castaño-Vinyals, Gemma, Gracia-Lavedan, Esther, Cecchini, Lluís, Stampfer, Meir, Ma, Jing, Sellers, Thomas A., Geybels, Milan S., Park, Hyun, Zachariah, Babu, Kolb, Suzanne, Wokolorczyk, Dominika, Lubinski, Jan, Kluzniak, Wojciech, Nielsen, Sune F., Weisher, Maren, Cuk, Katarina, Vogel, Walther, Luedeke, Manuel, Logothetis, Christopher J. J., Paulo, Paula, Cardoso, Marta, Maia, Sofia, Silva, Maria P., Steele, Linda, Ding, Yuan Chun, De Meerleer, Gert, De Langhe, Sofie, Thierens, Hubert, Lim, Jasmine, Tan, Meng H., Ong, Aik T., Lin, Daniel W., Kachakova, Darina, Mitkova, Atanaska, Mitev, Vanio, Parliament, Matthew, Jenster, Guido, Bangma, Christopher, Schroder, F. H., Truong, Thérèse, Koudou, Yves Akoli, Michael, Agnieszka, Kierzek, Andrzej, Karlsson, Ami, Broms, Michael, Wu, Huihai, Aukim-Hastie, Claire, Tillmans, Lori, Riska, Shaun, McDonnell, Shannon K., Dearnaley, David, Spurdle, Amanda, Gardiner, Robert, Hayes, Vanessa, Butler, Lisa, Taylor, Renea, Papargiris, Melissa, Saunders, Pamela, Kujala, Paula, Talala, Kirsi, Taari, Kimmo, Bentzen, Søren, Hicks, Belynda, Vogt, Aurelie, Hutchinson, Amy, Cox, Angela, George, Anne, Toi, Ants, Evans, Andrew, van der Kwast, Theodorus H., Imai, Takashi, Saito, Shiro, Zhao, Shan-Chao, Ren, Guoping, Zhang, Yangling, Yu, Yongwei, Wu, Yudong, Wu, Ji, Zhou, Bo, Pedersen, John, Lobato-Busto, Ramón, Ruiz-Dominguez, José Manuel, Mengual, Lourdes, Alcaraz, Antonio, Pow-Sang, Julio, Herkommer, Kathleen, Vlahova, Aleksandrina, Dikov, Tihomir, Christova, Svetlana, Carracedo, Angel, Tretarre, Brigitte, Rebillard, Xavier, Mulot, Claire, Adolfsson, Jan, Stattin, Par, Johansson, Jan-Erik, Martin, Richard M., Thompson, Ian M., Chambers, Suzanne, Aitken, Joanne, Horvath, Lisa, Haynes, Anne-Maree, Tilley, Wayne, Risbridger, Gail, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Tammela, Teuvo L. J., Murtola, Teemu, Auvinen, Anssi, Burnet, Neil, Barnett, Gill, Andriole, Gerald, Klim, Aleksandra, Drake, Bettina F., Borre, Michael, Kerns, Sarah, Ostrer, Harry, Zhang, Hong-Wei, Cao, Guangwen, Lin, Ji, Ling, Jin, Li, Meiling, Feng, Ninghan, Li, Jie, He, Weiyang, Guo, Xin, Sun, Zan, Wang, Guomin, Guo, Jianming, Southey, Melissa C., Fitzgerald, Liesel M., Marsden, Gemma, Gómez-Caamaño, Antonio, Carballo, Ana, Peleteiro, Paula, Calvo, Patricia, Szulkin, Robert, Llorca, Javier, Dierssen-Sotos, Trinidad, Gómez Acebo, Inés, Lin, Hui-Yi, Ostrander, Elaine A., Bisbjerg, Rasmus, Klarskov, Peter, Røder, Martin Andreas, Iversen, Peter, Holleczek, Bernd, Stegmaier, Christa, Schnoeller, Thomas, Bohnert, Philipp, John, Esther M., Ost, Piet, Teo, Soo-Hwang, Gamulin, Marija, Kulis, Tomislav, Kastelan, Zeljko, Slavov, Chavdar, Popov, Elenko, Van den Broeck, Thomas, Joniau, Steven, Larkin, Samantha, Castelao, Jose Esteban, Martinez, Maria Elena, van Schaik, Ron H. N., Xu, Jianfeng, Lindström, Sara, Riboli, Elio, Berry, Clare, Siddiq, Afshan, Canzian, Federico, Kolonel, Laurence N., Le Marchand, Loic, Freedman, Matthew, Cenee, Sylvie, Sanchez, Marie, Wiklund, Fredrik, Chanock, Stephen J., Easton, Douglas F., Eeles, Rosalind A., Kote-Jarai, Zsofia, Conti, David V., Haiman, Christopher A., Universidad de Cantabria, De Meerleer, Gert, Keck School of Medicine [Los Angeles], University of Southern California (USC), The institute of cancer research [London], Department of Clinical Neurosciences [Cambridge], University of Cambridge [UK] (CAM), Centre for Cancer Genetic Epidemiology [Cambridge], Department of Oncology-University of Cambridge [UK] (CAM), Case Western Reserve University [Cleveland], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Warwick Medical School, University of Warwick [Coventry], University of Manchester [Manchester], Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology [Brisbane] (QUT), Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], University College of London [London] (UCL), University of Turku, University of Tampere [Finland], The Institute of Environmental Medicine [Stockholm] (IMM), Manchester Academic Health Science Centre (MAHSC), Harvard School of Public Health, Harvard T.H. Chan School of Public Health, Université Pierre et Marie Curie - Paris 6 (UPMC), Aarhus University Hospital, Aarhus University [Aarhus], Oslo University Hospital [Oslo], The University of Texas M.D. Anderson Cancer Center [Houston], Addenbrooke's Hospital, Cambridge University NHS Trust, University of Oxford [Oxford], School of Social and Community Medicine [Bristol], University of Bristol [Bristol], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Centre for Molecular Oncology and Imaging, Centre for Molecular Oncology and Imaging, Barts Cancer Institute, Queen Mary University of London (QMUL), University of Melbourne, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), CIBER de Enfermedades Raras (CIBERER), Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, CIBER de Epidemiología y Salud Pública (CIBERESP), IMIM-Hospital del Mar, Generalitat de Catalunya, Universitat Pompeu Fabra [Barcelona] (UPF), University of Washington [Seattle], German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), National Center for Tumor Diseases [Dresden] (NCT), Technische Universität Dresden = Dresden University of Technology (TU Dresden)-German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ)-Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Universität Ulm - Ulm University [Ulm, Allemagne], Instituto de Ciências Biomédicas de Abel Salazar (ICBAS), Universidade do Porto, Universiteit Gent = Ghent University [Belgium] (UGENT), University of Malaya [Kuala Lumpur, Malaisie], Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), University of Alberta, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), University of California [San Diego] (UC San Diego), University of California, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Paris-Saclay, University of Utah School of Medicine [Salt Lake City], University of Surrey (UNIS), Mayo Clinic [Rochester], Royal Marsden NHS Foundation Trust, Dadaev, Tokhir [0000-0002-8268-0438], Brook, Mark N [0000-0002-8969-2378], Wang, Kan [0000-0002-0640-6058], Olama, Ali Amin Al [0000-0002-7178-3431], Schumacher, Fredrick R [0000-0002-3073-7463], Muir, Kenneth [0000-0001-6429-988X], Batra, Jyotsna [0000-0003-4646-6247], Pashayan, Nora [0000-0003-0843-2468], Schleutker, Johanna [0000-0002-1863-0305], Wolk, Alicja [0000-0001-7387-6845], Cancel-Tassin, Géraldine [0000-0002-9583-6382], Sorensen, Karina D [0000-0002-4902-5490], Lessel, Davor [0000-0003-4496-244X], Roobol, Monique J [0000-0001-6967-1708], Chanock, Stephen J [0000-0002-2324-3393], Easton, Douglas F [0000-0003-2444-3247], Eeles, Rosalind A [0000-0002-3698-6241], Apollo - University of Cambridge Repository, University of Cambridge [UK] (CAM)-Department of Oncology, University of Oxford, Universidade do Porto = University of Porto, Universiteit Gent = Ghent University (UGENT), University of Malaya = Universiti Malaya [Kuala Lumpur, Malaisie] (UM), University of California (UC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Gestionnaire, Hal Sorbonne Université, Urology, University Management, Clinicum, and HUS Abdominal Center

Subjects
0301 basic medicine, Oncology, Male, [SDV]Life Sciences [q-bio], LOCI, General Physics and Astronomy, Genome-wide association study, PROGRESSION, [SDV.GEN] Life Sciences [q-bio]/Genetics, MYC, SUSCEPTIBILITY, UP-REGULATION, Prostate cancer, Risk Factors, Genotype, Urologi och njurmedicin, Medicine, lcsh:Science, Pròstata -- Càncer, education.field_of_study, RARE VARIANT, Multidisciplinary, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Manchester Cancer Research Centre, LONG NONCODING RNA, Chromosome Mapping, Men, 3. Good health, [SDV] Life Sciences [q-bio], Multidisciplinary Sciences, Science & Technology - Other Topics, Disease Susceptibility, Risk assessment, Chromosomes, Human, Pair 8, Genetic Markers, medicine.medical_specialty, Science, 3122 Cancers, Population, [SDV.CAN]Life Sciences [q-bio]/Cancer, Risk Assessment, Article, General Biochemistry, Genetics and Molecular Biology, White People, 03 medical and health sciences, [SDV.CAN] Life Sciences [q-bio]/Cancer, SDG 3 - Good Health and Well-being, Internal medicine, Genetics, Urology and Nephrology, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, Author Correction, METAANALYSIS, [SDV.GEN]Life Sciences [q-bio]/Genetics, Cancer och onkologi, Science & Technology, Càncer de pròstata, business.industry, ResearchInstitutes_Networks_Beacons/mcrc, Case-control study, Cancer, Prostatic Neoplasms, General Chemistry, 3126 Surgery, anesthesiology, intensive care, radiology, medicine.disease, 030104 developmental biology, Homes, Haplotypes, Cancer and Oncology, Case-Control Studies, lcsh:Q, Population Risk, business, Genètica, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p, Chromosome 8q24 is known to be a major susceptibility region for prostate cancer risk. Here the authors analyze genetic data across the 8q24 region from 71,535 prostate cancer patients identifying 12 risk loci, three previously unreported, highlighting the contribution of germline variation at this locus.

Published
2018
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15. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Author

Huynh-Le, Minh-Phuong, Fan, Chun Chieh, Karunamuni, Roshan, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Nielsen, Sune F, Nordestgaard, Børge G, Wiklund, Fredrik, Tangen, Catherine M, Giles, Graham G, Wolk, Alicja, Albanes, Demetrius, Travis, Ruth C, Blot, William J, Zheng, Wei, Sanderson, Maureen, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Khaw, Kay-Tee, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Thibodeau, Stephen N, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L, Huff, Chad, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Cannon-Albright, Lisa, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Pandha, Hardev, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Bush, William S, Roobol, Monique J, Parent, Marie-Élise, Hu, Jennifer J, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, UKGPCS Collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, IMPACT Study Steering Committee And Collaborators, Canary PASS Investigators, Profile Study Steering Committee, and PRACTICAL Consortium

Subjects
Male, Multifactorial Inheritance, Multivariate Analysis, Ethnicity, Humans, Prostatic Neoplasms, Neoplasm Invasiveness, Self Report, Middle Aged, 3. Good health, Aged
Abstract

Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10-180). Comparing the 80th/20th PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset.

16. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author

Conti, David V, Darst, Burcu F, Moss, Lilit C, Saunders, Edward J, Sheng, Xin, Chou, Alisha, Schumacher, Fredrick R, Olama, Ali Amin Al, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N, Sahimi, Ali, Hoffmann, Thomas J, Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Muir, Kenneth, Lophatananon, Artitaya, Wan, Peggy, Le Marchand, Loic, Wilkens, Lynne R, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, Cybulski, Cezary, Wokołorczyk, Dominika, Lubiński, Jan, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Nordestgaard, Børge G, Nielsen, Sune F, Weischer, Maren, Bojesen, Stig E, Røder, Martin Andreas, Iversen, Peter, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Horvath, Lisa, Clements, Judith A, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordström, Tobias, Pashayan, Nora, Dunning, Alison M, Ghoussaini, Maya, Travis, Ruth C, Key, Tim J, Riboli, Elio, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie J, Mucci, Lorelei A, Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J, Penney, Kathryn L, Turman, Constance, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L, Ostrander, Elaine A, Geybels, Milan S, Koutros, Stella, Freeman, Laura E Beane, Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L, Hoover, Robert N, Machiela, Mitchell J, Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J, Zheng, Wei, Yeboah, Edward D, Mensah, James E, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N, McDonnell, Shannon K, Schaid, Daniel J, West, Catharine ML, Burnet, Neil, Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S, Drake, Bettina F, Cussenot, Olivier, Cancel-Tassin, Géraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M, Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A, Stern, Mariana C, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S, Kerns, Sarah L, Ostrer, Harry, Teixeira, Manuel R, Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T, Fontham, Elizabeth TH, Mohler, James, Taylor, Jack A, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C, Huff, Chad D, Strom, Sara S, Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J, Weaver, Brandi, Brenner, Hermann, Cuk, Katarina, Holleczek, Bernd, Saum, Kai-Uwe, Klein, Eric A, Hsing, Ann W, Kittles, Rick A, Murphy, Adam B, Logothetis, Christopher J, Kim, Jeri, Neuhausen, Susan L, Steele, Linda, Ding, Yuan Chun, Isaacs, William B, Nemesure, Barbara, Hennis, Anselm JM, Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F, Lin, Daniel W, Fowke, Jay H, Neslund-Dudas, Christine, Rybicki, Benjamin A, Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van Den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A, Aukim-Hastie, Claire, Bush, William S, Aldrich, Melinda C, Crawford, Dana C, Srivastava, Shiv, Cullen, Jennifer C, Petrovics, Gyorgy, Casey, Graham, Roobol, Monique J, Jenster, Guido, Van Schaik, Ron HN, Hu, Jennifer J, Sanderson, Maureen, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Mancuso, Nicholas, Berndt, Sonja I, Van Den Eeden, Stephen K, Easton, Douglas F, Chanock, Stephen J, Cook, Michael B, Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S, Eeles, Rosalind A, Kote-Jarai, Zsofia, and Haiman, Christopher A

Subjects
Male, Genetic Loci, Risk Factors, Racial Groups, Odds Ratio, Humans, Prostatic Neoplasms, Genetic Predisposition to Disease, Molecular Sequence Annotation, Neoplasm Invasiveness, Middle Aged, 3. Good health, Genome-Wide Association Study
Abstract

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.

17. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Dadaev, Tokhir, Saunders, Edward J, Newcombe, Paul J, Anokian, Ezequiel, Leongamornlert, Daniel A, Brook, Mark N, Cieza-Borrella, Clara, Mijuskovic, Martina, Wakerell, Sarah, Olama, Ali Amin Al, Schumacher, Fredrick R, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Goh, Chee, Sheng, Xin, Zhang, Zhuo, Muir, Kenneth, Govindasami, Koveela, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Hakansson, Niclas, West, Catharine, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei, Giovannucci, Edward, Andriole, Gerald, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Freeman, Laura E Beane, 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, Kerns, Sarah, 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, Fachal, Laura, 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, Weisher, 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, Slavov, Chavdar, Mitev, Vanio, Parliament, Matthew, Singhal, Sandeep, 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 HN, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, Xu, Jianfeng, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Michael, Agnieszka, Kierzek, Andrzej, 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, Kraft, Peter, PRACTICAL (Prostate Cancer Association Group To Investigate Cancer-Associated Alterations In The Genome) Consortium, Freedman, Matthew, Wiklund, Fredrik, Chanock, Stephen, Henderson, Brian E, Easton, Douglas F, Haiman, Christopher A, Eeles, Rosalind A, Conti, David V, and Kote-Jarai, Zsofia

Subjects
Male, Risk, Quantitative Trait Loci, Black People, Chromosome Mapping, Prostatic Neoplasms, Bayes Theorem, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, White People, 3. Good health, Multivariate Analysis, Humans, Genetic Predisposition to Disease, Algorithms, Genome-Wide Association Study
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

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