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https://hdl.handle.net/2440/119662
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Type: | Journal article |
Title: | Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci |
Author: | Schumacher, F. Al Olama, A. Berndt, S. Benlloch, S. Ahmed, M. Saunders, E. Dadaev, T. Leongamornlert, D. Anokian, E. Cieza-Borrella, C. Goh, C. Brook, M. Sheng, X. Fachal, L. Dennis, J. Tyrer, J. Muir, K. Lophatananon, A. Stevens, V. Gapstur, S. et al. |
Citation: | Nature Genetics, 2018; 50(7):928-936 |
Publisher: | Springer |
Issue Date: | 2018 |
ISSN: | 1061-4036 1546-1718 |
Statement of Responsibility: | Frederick R. Schumacher … Wayne Tilley … et al. |
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 . |
Keywords: | Prostate cancer |
Rights: | © 2018 Nature America Inc., part of Springer Nature. All rights reserved. |
DOI: | 10.1038/s41588-018-0142-8 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/126402 http://purl.org/au-research/grants/nhmrc/209057 http://purl.org/au-research/grants/nhmrc/251533 http://purl.org/au-research/grants/nhmrc/396414 http://purl.org/au-research/grants/nhmrc/450104 http://purl.org/au-research/grants/nhmrc/504700 http://purl.org/au-research/grants/nhmrc/504702 http://purl.org/au-research/grants/nhmrc/504715 http://purl.org/au-research/grants/nhmrc/623204 http://purl.org/au-research/grants/nhmrc/940394 http://purl.org/au-research/grants/nhmrc/614296 |
Published version: | http://dx.doi.org/10.1038/s41588-018-0142-8 |
Appears in Collections: | Aurora harvest 4 Medicine publications |
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