Please use this identifier to cite or link to this item: 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
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