KLK3 SNP–SNP interactions for prediction of prostate cancer aggressiveness

KLK3 SNP–SNP interactions for prediction of prostate cancer aggressiveness

Abstract Risk classification for prostate cancer (PCa) aggressiveness and underlying mechanisms remain inadequate. Interactions between single nucleotide polymorphisms (SNPs) may provide a solution to fill these gaps. To identify SNP–SNP interactions in the four pathways (the angiogenesis-, mitochon...

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Autores principales: Hui-Yi Lin, Po-Yu Huang, Chia-Ho Cheng, Heng-Yuan Tung, Zhide Fang, Anders E. Berglund, Ann Chen, Jennifer French-Kwawu, Darian Harris, Julio Pow-Sang, Kosj Yamoah, John L. Cleveland, Shivanshu Awasthi, Robert J. Rounbehler, Travis Gerke, Jasreman Dhillon, Rosalind Eeles, Zsofia Kote-Jarai, Kenneth Muir, UKGPCS collaborators, Johanna Schleutker, Nora Pashayan, APCB (Australian Prostate Cancer BioResource), David E. Neal, Sune F. Nielsen, Børge G. Nordestgaard, Henrik Gronberg, Fredrik Wiklund, Graham G. Giles, Christopher A. Haiman, Ruth C. Travis, Janet L. Stanford, Adam S. Kibel, Cezary Cybulski, Kay-Tee Khaw, Christiane Maier, Stephen N. Thibodeau, Manuel R. Teixeira, Lisa Cannon-Albright, Hermann Brenner, Radka Kaneva, Hardev Pandha, The PRACTICAL consortium, Srilakshmi Srinivasan, Judith Clements, Jyotsna Batra, Jong Y. Park
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
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Acceso en línea:https://doaj.org/article/e04a68afd0214bb2aaaa455915e1fc0c
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