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Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, July 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users
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1 patent

Citations

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54 Dimensions

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130 Mendeley
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Title
Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci
Published in
Cancer Epidemiology, Biomarkers & Prevention, July 2015
DOI 10.1158/1055-9965.epi-14-0317
Pubmed ID
Authors

Ali Amin Al Olama, Sara Benlloch, Antonis C. Antoniou, Graham G. Giles, Gianluca Severi, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Kenneth Muir, Johanna Schleutker, Brian E. Henderson, Christopher A. Haiman, Fredrick R. Schumacher, Nora Pashayan, Paul D.P. Pharoah, Elaine A. Ostrander, Janet L. Stanford, Jyotsna Batra, Judith A. Clements, Suzanne K. Chambers, Maren Weischer, Børge G. Nordestgaard, Sue A. Ingles, Karina D. Sorensen, Torben F. Orntoft, Jong Y. Park, Cezary Cybulski, Christiane Maier, Thilo Doerk, Joanne L. Dickinson, Lisa Cannon-Albright, Hermann Brenner, Timothy R. Rebbeck, Charnita Zeigler-Johnson, Tomonori Habuchi, Stephen N. Thibodeau, Kathleen A. Cooney, Pierre O. Chappuis, Pierre Hutter, Radka P. Kaneva, William D. Foulkes, Maurice P. Zeegers, Yong-Jie Lu, Hong-Wei Zhang, Robert Stephenson, Angela Cox, Melissa C. Southey, Amanda B. Spurdle, Liesel FitzGerald, Daniel Leongamornlert, Edward Saunders, Malgorzata Tymrakiewicz, Michelle Guy, Tokhir Dadaev, Sarah J. Little, Koveela Govindasami, Emma Sawyer, Rosemary Wilkinson, Kathleen Herkommer, John L. Hopper, Aritaya Lophatonanon, Antje E. Rinckleb, Zsofia Kote-Jarai, Rosalind A. Eeles, Douglas F. Easton

Abstract

Genome-wide association studies have identified multiple genetic variants associated with prostate cancer (PrCa) risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of PrCa. We genotyped 25 PrCa susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical Odds Ratios for PrCa associated with different risk strata defined by PRS and derived age-specific absolute risks of developing PrCa by PRS stratum and family history. The PrCa risk for men in the top 1% of the PRS distribution was 30.6 (95% CI 16.4-57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI 3.2-5.5) fold compared with the median risk. The absolute risk of PrCa by age 85 was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation=0.09). Risk profiling can identify men at substantially increased or reduced risk of PrCa. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of PrCa. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles. We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Unknown 128 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 16%
Professor 20 15%
Student > Ph. D. Student 18 14%
Other 13 10%
Student > Master 6 5%
Other 24 18%
Unknown 28 22%
Readers by discipline Count As %
Medicine and Dentistry 29 22%
Biochemistry, Genetics and Molecular Biology 16 12%
Agricultural and Biological Sciences 16 12%
Computer Science 8 6%
Business, Management and Accounting 3 2%
Other 23 18%
Unknown 35 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2021.
All research outputs
#7,249,284
of 25,498,750 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#1,835
of 4,854 outputs
Outputs of similar age
#77,934
of 277,758 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#13
of 44 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,758 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.