Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

Autor: Artitaya Lophatananon, W. Ryan Diver, Stig E. Bojesen, Roman Corral, Fredrick R. Schumacher, Stephen J. Chanock, Shannon K. McDonnell, Graham G. Giles, Craig C. Teerlink, Douglas F. Easton, Cezary Cybulski, Brian E. Henderson, Judith A. Clements, Ali Amin Al Olama, Francois Bacot, David P. Dearnaley, Elio Riboli, Peter Klarskov, Daniel Vincent, Rosemary A. Wilkinson, Danielle M. Karyadi, Michelle Guy, Vincent Khoo, Christopher A. Haiman, Afshan Siddiq, M. Andreas Røder, Amit Joshi, Jong Y. Park, Walther Vogel, Henrik Grönberg, Angela Cox, Rudolf Kaaks, Nora Pashayan, Timothy J. Key, C. R. J. Woodhouse, Jarmo Virtamo, Meredith Yeager, Malgorzata Tymrakiewicz, Sune F. Nielsen, Richard B. Hayes, Johanna Schleutker, Gianluca Severi, Robert Huddart, Wei Zheng, Thomas A. Sellers, Melanie Maranian, Shahana Ahmed, David E. Neal, Daniel Leongamornlert, Zsofia Kote-Jarai, Tiina Wahlfors, Loic Le Marchand, Kay-Tee Khaw, Tokhir Dadaev, Lisa A. Cannon-Albright, Janet L. Stanford, William J. Blot, Andy C. H. Lee, Freddie C. Hamdy, Siqun L. Zheng, Rosalind A. Eeles, Alison M. Dunning, Mariana C. Stern, Melissa C. Southey, Don M. Conroy, Kenneth Muir, Ahva Shahabi, Alan Horwich, Gerald L. Andriole, Antje E. Rinckleb, Srilakshmi Srinivasan, Tim Dudderidge, Joe Dennis, Radka Kaneva, Vanio Mitev, Angela Morgan, Sue A. Ingles, Adam S. Kibel, Markus Aly, Koveela Govindasami, Maya Ghoussaini, Jenny L Donovan, Manuel R. Teixeira, Emma J. Sawyer, Sara Lindström, Jiangfeng Xu, Maren Weischer, Ed Dicks, Jyotsna Batra, S Jugurnauth-Little, Hui-Yi Lin, Suzanne Kolb, Lisa B. Signorello, Dallas R. English, Antonis C. Antoniou, Federico Canzian, Anssi Auvinen, Mia M. Gaudet, Paula Paulo, Paul D.P. Pharoah, Heiko Müller, Qiuyin Cai, Børge G. Nordestgaard, Esther M. John, Sonja I. Berndt, D J Schaid, Daniele Campa, Chris Ogden, Colin Cooper, Craig Luccarini, Jan Lubinski, Elaine A. Ostrander, Ruth C. Travis, Dominika Wokołorczyk, John L. Hopper, Sofia Maia, Sara Benlloch, Chris Parker, Erika M. Kwon, Nicholas van As, Caroline Baynes, C. Slavov, Teuvo L.J. Tammela, Ethan M. Lange, Daniel C. Tessier, David J. Hunter, Dietrich Rothenbacher, Robert A. Stephenson, Liesel M. FitzGerald, Christiane Maier, Hermann Brenner, Kathleen A. Cooney, Graham A. Colditz, Felicity Lose, Edward J. Saunders, Demetrius Albanes, Stephen N. Thibodeau, Fredrik Wiklund, Amanda B. Spurdle, Jan Adolfsson, Susan M. Gapstur, Peter Kraft, Bettina F. Drake, Alan Thompson
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Male
genetic association
genotype
Genome-wide association study
Bioinformatics
genetic risk
developed country
Prostate cancer
0302 clinical medicine
Risk Factors
Genotype
Cooperative Behavior
breast cancer
cancer prognosis
cancer susceptibility
cell adhesion
cell cycle arrest
chromosome 14
chromosome 2
double stranded DNA break
embryo development
extracellular matrix
gene frequency
gene linkage disequilibrium
genetic predisposition
Gleason score
heterozygote
human
intron
priority journal
promoter region
prostate cancer
quality control
regulator gene
Oligonucleotide Array Sequence Analysis
0303 health sciences
education.field_of_study
3. Good health
030220 oncology & carcinogenesis
Population
Single-nucleotide polymorphism
Biology
ta3111
Polymorphism
Single Nucleotide
03 medical and health sciences
Meta-Analysis as Topic
Genetics
medicine
Humans
Genetic Predisposition to Disease
education
Genotyping
030304 developmental biology
Case-control study
Cancer
Prostatic Neoplasms
medicine.disease
ta3122
Genetic Loci
Case-Control Studies
Genome-Wide Association Study
Zdroj: Nature Genetics
Nature Genetics; Vol 45
Popis: Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom Illumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and 24,272 controls from the international PRACTICAL Consortium. Twenty-three new prostate cancer susceptibility loci were identified at genome-wide significance (P < 5 × 10(-8)). More than 70 prostate cancer susceptibility loci, explaining ∼30% of the familial risk for this disease, have now been identified. On the basis of combined risks conferred by the new and previously known risk loci, the top 1% of the risk distribution has a 4.7-fold higher risk than the average of the population being profiled. These results will facilitate population risk stratification for clinical studies.
Databáze: OpenAIRE
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