KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.

doi:10.1038/s41598-021-85169-7

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Article

KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.

Scientific reports - 29 Apr 2021

Lin Hui-Yi, Huang Po-Yu, Cheng Chia-Ho, Tung Heng-Yuan, Fang Zhide, Berglund Anders E, Chen Ann, French-Kwawu Jennifer, Harris Darian, Pow-Sang Julio, Yamoah Kosj, Cleveland John L, Awasthi Shivanshu, Rounbehler Robert J, Gerke Travis, Dhillon Jasreman, Eeles Rosalind, Kote-Jarai Zsofia, Muir Kenneth, Schleutker Johanna, Pashayan Nora, Neal David E, Nielsen Sune F, Nordestgaard Børge G, Gronberg Henrik, Wiklund Fredrik, Giles Graham G, Haiman Christopher A, Travis Ruth C, Stanford Janet L, Kibel Adam S, Cybulski Cezary, Khaw Kay-Tee, Maier Christiane, Thibodeau Stephen N, Teixeira Manuel R, Cannon-Albright Lisa, Brenner Hermann, Kaneva Radka, Pandha Hardev, Srinivasan Srilakshmi, Clements Judith, Batra Jyotsna, Park Jong Y

Abstract excerpt

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-, mitochondria-, miRNA-, and androgen metabolism-related pathways) associated with PCa aggressiveness, we tested 8587 SNPs for 20,729...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 33927218
DOI: 10.1038/s41598-021-85169-7
PMCID: PMC8084951

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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