| Autor: |
Yuyang Qian, Jianhua Wang, Bo Wang, Wenbin Wang, Peng Li, Zhenhao Zhao, Yuan Jiang, He Ren, Dandan Huang, Yang Yang, Zhongfang Zhao, Lei Zhang, Jiandang Shi, Mulin Jun Li, Wange Lu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
iScience, Vol 26, Iss 4, Pp 106497- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2023.106497 |
| Popis: |
Summary: To date, genome-wide association studies (GWAS) have revealed over 200 genetic risk loci associated with prostate cancer; yet, true disease-causing variants remain elusive. Identification of causal variants and their targets from association signals is complicated by high linkage disequilibrium and limited availability of functional genomics data for specific tissue/cell types. Here, we integrated statistical fine-mapping and functional annotation from prostate-specific epigenomic profiles, 3D genome features, and quantitative trait loci data to distinguish causal variants from associations and identify target genes. Our fine-mapping analysis yielded 3,395 likely causal variants, and multiscale functional annotation linked them to 487 target genes. We prioritized rs10486567 as a genome-wide top-ranked SNP and predicted HOTTIP as its target. Deletion of the rs10486567-associated enhancer in prostate cancer cells decreased their capacity for invasive migration. HOTTIP overexpression in enhancer-KO cell lines rescued defective invasive migration. Furthermore, we found that rs10486567 regulates HOTTIP through allele-specific long-range chromatin interaction. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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