1. KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness
- Author
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Lin, H-Y, Huang, P-Y, Cheng, C-H, Tung, H-Y, Fang, Z, Berglund, AE, Chen, A, French-Kwawu, J, Harris, D, Pow-Sang, J, Yamoah, K, Cleveland, JL, Awasthi, S, Rounbehler, RJ, Gerke, T, Dhillon, J, Eeles, R, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Neal, DE, Nielsen, SF, Nordestgaard, BG, Gronberg, H, Wiklund, F, Giles, GG, Haiman, CA, Travis, RC, Stanford, JL, Kibel, AS, Cybulski, C, Khaw, K-T, Maier, C, Thibodeau, SN, Teixeira, MR, Cannon-Albright, L, Brenner, H, Kaneva, R, Pandha, H, Srinivasan, S, Clements, J, Batra, J, Park, JY, Lin, H-Y, Huang, P-Y, Cheng, C-H, Tung, H-Y, Fang, Z, Berglund, AE, Chen, A, French-Kwawu, J, Harris, D, Pow-Sang, J, Yamoah, K, Cleveland, JL, Awasthi, S, Rounbehler, RJ, Gerke, T, Dhillon, J, Eeles, R, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Neal, DE, Nielsen, SF, Nordestgaard, BG, Gronberg, H, Wiklund, F, Giles, GG, Haiman, CA, Travis, RC, Stanford, JL, Kibel, AS, Cybulski, C, Khaw, K-T, Maier, C, Thibodeau, SN, Teixeira, MR, Cannon-Albright, L, Brenner, H, Kaneva, R, Pandha, H, Srinivasan, S, Clements, J, Batra, J, and Park, JY
- 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-, mitochondria-, miRNA-, and androgen metabolism-related pathways) associated with PCa aggressiveness, we tested 8587 SNPs for 20,729 cases from the PCa consortium. We identified 3 KLK3 SNPs, and 1083 (P < 3.5 × 10-9) and 3145 (P < 1 × 10-5) SNP-SNP interaction pairs significantly associated with PCa aggressiveness. These SNP pairs associated with PCa aggressiveness were more significant than each of their constituent SNP individual effects. The majority (98.6%) of the 3145 pairs involved KLK3. The 3 most common gene-gene interactions were KLK3-COL4A1:COL4A2, KLK3-CDH13, and KLK3-TGFBR3. Predictions from the SNP interaction-based polygenic risk score based on 24 SNP pairs are promising. The prevalence of PCa aggressiveness was 49.8%, 21.9%, and 7.0% for the PCa cases from our cohort with the top 1%, middle 50%, and bottom 1% risk profiles. Potential biological functions of the identified KLK3 SNP-SNP interactions were supported by gene expression and protein-protein interaction results. Our findings suggest KLK3 SNP interactions may play an important role in PCa aggressiveness.
- Published
- 2021