2018
DOI: 10.1038/s41467-018-03411-9
|View full text |Cite
|
Sign up to set email alerts
|

Capture Hi-C identifies putative target genes at 33 breast cancer risk loci

Abstract: Genome-wide association studies (GWAS) have identified approximately 100 breast cancer risk loci. Translating these findings into a greater understanding of the mechanisms that influence disease risk requires identification of the genes or non-coding RNAs that mediate these associations. Here, we use Capture Hi-C (CHi-C) to annotate 63 loci; we identify 110 putative target genes at 33 loci. To assess the support for these target genes in other data sources we test for associations between levels of expression … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

5
89
0
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
3
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 99 publications
(95 citation statements)
references
References 54 publications
5
89
0
1
Order By: Relevance
“…Furthermore, Estrogen receptor, usually upregulated in the luminal subtypes, is known to have an influence in the structural organization of chromatin in estrogen-regulated genes, particularly, by promoting long range interactions [41][42][43][44]. This feature may have an influence in the co-expression profiles, for example, in the higher number of trans-interactions in Luminal subtypes (Figure 2).…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, Estrogen receptor, usually upregulated in the luminal subtypes, is known to have an influence in the structural organization of chromatin in estrogen-regulated genes, particularly, by promoting long range interactions [41][42][43][44]. This feature may have an influence in the co-expression profiles, for example, in the higher number of trans-interactions in Luminal subtypes (Figure 2).…”
Section: Discussionmentioning
confidence: 99%
“…This is obviously just an illustration of insights that can be gained from the analysis of Hi-C at high resolution. Others would include the use of HIFI-processed Hi-C data to further dissect the mechanisms of genome organization, and to prioritize non-coding variants obtained from genome-wide association (GWAS) or expression quantitative trait loci (eQTL) studies, as is starting to be done with capture Hi-C data (44).…”
Section: Resultsmentioning
confidence: 99%
“…A recent study used CHi-C to identify 110 putative target genes at 33 breast cancer risk loci 48 . We acknowledge that some CCV-target gene interactions may have been missed due to intrinsic biases in the capture.…”
Section: Discussionmentioning
confidence: 99%