Capture Hi-C identifies putative target genes at 33 breast cancer risk loci
Risk loci for breast cancer have been identified by genome-wide association studies. Here, the authors use Capture Hi-C to identify 110 putative target genes at 33 loci and assessed associations of gene expression, SNP genotype, and survival, providing evidence of mechanisms that may influence the p...
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Nature Portfolio
2018
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oai:doaj.org-article:04f38edcab7d46faa2e61354e4ef0a112021-12-02T17:32:32ZCapture Hi-C identifies putative target genes at 33 breast cancer risk loci10.1038/s41467-018-03411-92041-1723https://doaj.org/article/04f38edcab7d46faa2e61354e4ef0a112018-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03411-9https://doaj.org/toc/2041-1723Risk loci for breast cancer have been identified by genome-wide association studies. Here, the authors use Capture Hi-C to identify 110 putative target genes at 33 loci and assessed associations of gene expression, SNP genotype, and survival, providing evidence of mechanisms that may influence the prognosis and risk of breast cancer.Joseph S. BaxterOlivia C. LeavyNicola H. DrydenSarah MaguireNichola JohnsonVita FedeleNikiana SimigdalaLesley-Ann MartinSimon AndrewsSteven W. WingettIoannis AssiotisKerry FenwickRitika ChauhanAlistair G. RustNick OrrFrank DudbridgeSyed HaiderOlivia FletcherNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018) |
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Science Q Joseph S. Baxter Olivia C. Leavy Nicola H. Dryden Sarah Maguire Nichola Johnson Vita Fedele Nikiana Simigdala Lesley-Ann Martin Simon Andrews Steven W. Wingett Ioannis Assiotis Kerry Fenwick Ritika Chauhan Alistair G. Rust Nick Orr Frank Dudbridge Syed Haider Olivia Fletcher Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
description |
Risk loci for breast cancer have been identified by genome-wide association studies. Here, the authors use Capture Hi-C to identify 110 putative target genes at 33 loci and assessed associations of gene expression, SNP genotype, and survival, providing evidence of mechanisms that may influence the prognosis and risk of breast cancer. |
format |
article |
author |
Joseph S. Baxter Olivia C. Leavy Nicola H. Dryden Sarah Maguire Nichola Johnson Vita Fedele Nikiana Simigdala Lesley-Ann Martin Simon Andrews Steven W. Wingett Ioannis Assiotis Kerry Fenwick Ritika Chauhan Alistair G. Rust Nick Orr Frank Dudbridge Syed Haider Olivia Fletcher |
author_facet |
Joseph S. Baxter Olivia C. Leavy Nicola H. Dryden Sarah Maguire Nichola Johnson Vita Fedele Nikiana Simigdala Lesley-Ann Martin Simon Andrews Steven W. Wingett Ioannis Assiotis Kerry Fenwick Ritika Chauhan Alistair G. Rust Nick Orr Frank Dudbridge Syed Haider Olivia Fletcher |
author_sort |
Joseph S. Baxter |
title |
Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
title_short |
Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
title_full |
Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
title_fullStr |
Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
title_full_unstemmed |
Capture Hi-C identifies putative target genes at 33 breast cancer risk loci |
title_sort |
capture hi-c identifies putative target genes at 33 breast cancer risk loci |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/04f38edcab7d46faa2e61354e4ef0a11 |
work_keys_str_mv |
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