scholarly journals Post genome-wide association studies functional characterization of prostate cancer risk loci

BMC Genomics ◽  
2013 ◽  
Vol 14 (Suppl 8) ◽  
pp. S9 ◽  
Author(s):  
Junfeng Jiang ◽  
Weirong Cui ◽  
Wanwipa Vongsangnak ◽  
Guang Hu ◽  
Bairong Shen
2021 ◽  
Vol 22 (16) ◽  
pp. 8792
Author(s):  
Naixia Ren ◽  
Qingqing Liu ◽  
Lingjie Yan ◽  
Qilai Huang

Functional characterization of cancer risk-associated single nucleotide polymorphism (SNP) identified by genome-wide association studies (GWAS) has become a big challenge. To identify the regulatory risk SNPs that can lead to transcriptional misregulation, we performed parallel reporter gene assays with both alleles of 213 prostate cancer risk-associated GWAS SNPs in 22Rv1 cells. We disclosed 32 regulatory SNPs that exhibited different regulatory activities with two alleles. For one of the regulatory SNPs, rs684232, we found that the variation altered chromatin binding of transcription factor FOXA1 on the DNA region and led to aberrant gene expression of VPS53, FAM57A, and GEMIN4, which play vital roles in prostate cancer malignancy. Our findings reveal the roles and underlying mechanism of rs684232 in prostate cancer progression and hold great promise in benefiting prostate cancer patients with prognostic prediction and target therapies.


The Prostate ◽  
2010 ◽  
Vol 71 (9) ◽  
pp. 955-963 ◽  
Author(s):  
Yizhen Lu ◽  
Zheng Zhang ◽  
Hongjie Yu ◽  
S. Lily Zheng ◽  
William B. Isaacs ◽  
...  

2009 ◽  
Vol 18 (4) ◽  
pp. 1285-1289 ◽  
Author(s):  
Kevin M. Waters ◽  
Loic Le Marchand ◽  
Laurence N. Kolonel ◽  
Kristine R. Monroe ◽  
Daniel O. Stram ◽  
...  

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Ryo Takata ◽  
Atsushi Takahashi ◽  
Masashi Fujita ◽  
Yukihide Momozawa ◽  
Edward J. Saunders ◽  
...  

Abstract Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. We here performed a GWAS and replication study using a large Japanese cohort (9,906 cases and 83,943 male controls) to identify novel susceptibility loci associated with PCa risk. We found 12 novel loci for PCa including rs1125927 (TMEM17, P = 3.95 × 10−16), rs73862213 (GATA2, P = 5.87 × 10−23), rs77911174 (ZMIZ1, P = 5.28 × 10−20), and rs138708 (SUN2, P = 1.13 × 10−15), seven of which had crucially low minor allele frequency in European population. Furthermore, we stratified the polygenic risk for Japanese PCa patients by using 82 SNPs, which were significantly associated with Japanese PCa risk in our study, and found that early onset cases and cases with family history of PCa were enriched in the genetically high-risk population. Our study provides important insight into genetic mechanisms of PCa and facilitates PCa risk stratification in Japanese population.


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