scholarly journals Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

2016 ◽  
Vol 18 (1) ◽  
Author(s):  
Chenjie Zeng ◽  
◽  
Xingyi Guo ◽  
Jirong Long ◽  
Karoline B. Kuchenbaecker ◽  
...  
2013 ◽  
Vol 93 (6) ◽  
pp. 1046-1060 ◽  
Author(s):  
Kerstin B. Meyer ◽  
Martin O’Reilly ◽  
Kyriaki Michailidou ◽  
Saskia Carlebur ◽  
Stacey L. Edwards ◽  
...  

Author(s):  
Shirleny Romualdo Cardoso ◽  
Andrea Gillespie ◽  
Syed Haider ◽  
Olivia Fletcher

AbstractGenome-wide association studies coupled with large-scale replication and fine-scale mapping studies have identified more than 150 genomic regions that are associated with breast cancer risk. Here, we review efforts to translate these findings into a greater understanding of disease mechanism. Our review comes in the context of a recently published fine-scale mapping analysis of these regions, which reported 352 independent signals and a total of 13,367 credible causal variants. The vast majority of credible causal variants map to noncoding DNA, implicating regulation of gene expression as the mechanism by which functional variants influence risk. Accordingly, we review methods for defining candidate-regulatory sequences, methods for identifying putative target genes and methods for linking candidate-regulatory sequences to putative target genes. We provide a summary of available data resources and identify gaps in these resources. We conclude that while much work has been done, there is still much to do. There are, however, grounds for optimism; combining statistical data from fine-scale mapping with functional data that are more representative of the normal “at risk” breast, generated using new technologies, should lead to a greater understanding of the mechanisms that influence an individual woman’s risk of breast cancer.


2015 ◽  
Vol 24 (11) ◽  
pp. 1680-1691 ◽  
Author(s):  
Xingyi Guo ◽  
Jirong Long ◽  
Chenjie Zeng ◽  
Kyriaki Michailidou ◽  
Maya Ghoussaini ◽  
...  

2009 ◽  
Vol 18 (9) ◽  
pp. 1692-1703 ◽  
Author(s):  
Miriam S. Udler ◽  
Kerstin B. Meyer ◽  
Karen A. Pooley ◽  
Eric Karlins ◽  
Jeffery P. Struewing ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2037
Author(s):  
Chris Shidal ◽  
Xiang Shu ◽  
Jie Wu ◽  
Jifeng Wang ◽  
Shuya Huang ◽  
...  

We previously identified a locus at 21q22.3, tagged by the single nucleotide polymorphism (SNP) rs35418111, being associated with breast cancer risk at a genome-wide significance level; however, the underlying causal functional variants and gene(s) responsible for this association are unknown. We performed functional genomic analyses to identify potential functional variants and target genes that may mediate this association. Functional annotation for SNPs in high linkage disequilibrium (LD, r2 > 0.8) with rs35418111 in Asians showed evidence of promoter and/or enhancer activities, including rs35418111, rs2078203, rs8134832, rs57385578, and rs8126917. These five variants were assessed for interactions with nuclear proteins by electrophoretic mobility shift assays. Our results showed that the risk alleles for rs2078203 and rs35418111 altered DNA-protein interaction patterns. Cis-expression quantitative loci (cis-eQTL) analysis, using data from the Genotype-Tissue Expression database (GTEx) European-ancestry female normal breast tissue, indicated that the risk allele of rs35418111 was associated with a decreased expression of the YBEY gene, a relatively uncharacterized endoribonuclease in humans. We investigated the biological effects of YBEY on breast cancer cell lines by transient knock-down of YBEY expression in MCF-7, T47D, and MDA-MB-231 cell lines. Knockdown of YBEY mRNA in breast cancer cell lines consistently decreased cell proliferation, colony formation, and migration/invasion, regardless of estrogen receptor status. We performed RNA sequencing in MDA-MB-231 cells transfected with siRNA targeting YBEY and subsequent gene set enrichment analysis to identify gene networks associated with YBEY knockdown. These data indicated YBEY was involved in networks associated with inflammation and metabolism. Finally, we showed trends in YBEY expression patterns in breast tissues from The Cancer Genome Atlas (TCGA); early-stage breast cancers had elevated YBEY expression compared with normal tissue, but significantly decreased expression in late-stage disease. Our study provides evidence of a significant role for the human YBEY gene in breast cancer pathogenesis and the association between the rs35418111/21q22.3 locus and breast cancer risk, which may be mediated through functional SNPs, rs35418111 and rs2078203, that regulate expression of YBEY.


2016 ◽  
Vol 76 (7) ◽  
pp. 1916-1925 ◽  
Author(s):  
Nicola J. Camp ◽  
Wei-Yu Lin ◽  
Alex Bigelow ◽  
George J. Burghel ◽  
Timothy L. Mosbruger ◽  
...  

2010 ◽  
Vol 102 (22) ◽  
pp. 1716-1723 ◽  
Author(s):  
K. Ghosh ◽  
C. M. Vachon ◽  
V. S. Pankratz ◽  
R. A. Vierkant ◽  
S. S. Anderson ◽  
...  

2021 ◽  
Vol 9 (7) ◽  
pp. 549-549
Author(s):  
Jing Zhou ◽  
Congcong Chen ◽  
Sijun Liu ◽  
Wen Zhou ◽  
Jiangbo Du ◽  
...  

2017 ◽  
Vol 56 (9) ◽  
pp. 2048-2057 ◽  
Author(s):  
Yue Jiang ◽  
Fangzhi Du ◽  
Fei Chen ◽  
Na Qin ◽  
Zhu Jiang ◽  
...  

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