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Chromatin interactome mapping at 139 independent breast cancer risk signals
by
Kazakoff, Stephen
, Lee, Jason S.
, Dunning, Alison M.
, Waddell, Nicola
, Beesley, Jonathan
, Barnes, Daniel R.
, Hussein, Nehal
, Rosenbluh, Joseph
, Tuano, Natasha
, Fachal, Laura
, Mukhopadhyay, Pamela
, Lima, Luize G.
, Kaufmann, Susanne
, Moradi Marjaneh, Mahdi
, Ham, Sunyoung
, Michailidou, Kyriaki
, Antoniou, Antonis C.
, French, Juliet D.
, Chenevix-Trench, Georgia
, Edwards, Stacey L.
, Hillman, Kristine M.
, Möller, Andreas
, Sivakumaran, Haran
, Easton, Douglas F.
in
Animal Genetics and Genomics
/ Annotations
/ Bioinformatics
/ Biomedical and Life Sciences
/ Breast cancer
/ breast neoplasms
/ Breast Neoplasms - genetics
/ Breast Neoplasms - metabolism
/ breasts
/ Cell Line, Tumor
/ Chromatin
/ Chromatin - metabolism
/ Computer applications
/ Consortia
/ Deoxyribonucleic acid
/ DNA
/ Enhancers
/ epithelium
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ histones
/ Human Genetics
/ Humans
/ Life Sciences
/ Microbial Genetics and Genomics
/ neoplasm cells
/ Plant Genetics and Genomics
/ Principal components analysis
/ Proteins
/ risk
/ Transcription factors
/ Tumor cell lines
2020
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Chromatin interactome mapping at 139 independent breast cancer risk signals
by
Kazakoff, Stephen
, Lee, Jason S.
, Dunning, Alison M.
, Waddell, Nicola
, Beesley, Jonathan
, Barnes, Daniel R.
, Hussein, Nehal
, Rosenbluh, Joseph
, Tuano, Natasha
, Fachal, Laura
, Mukhopadhyay, Pamela
, Lima, Luize G.
, Kaufmann, Susanne
, Moradi Marjaneh, Mahdi
, Ham, Sunyoung
, Michailidou, Kyriaki
, Antoniou, Antonis C.
, French, Juliet D.
, Chenevix-Trench, Georgia
, Edwards, Stacey L.
, Hillman, Kristine M.
, Möller, Andreas
, Sivakumaran, Haran
, Easton, Douglas F.
in
Animal Genetics and Genomics
/ Annotations
/ Bioinformatics
/ Biomedical and Life Sciences
/ Breast cancer
/ breast neoplasms
/ Breast Neoplasms - genetics
/ Breast Neoplasms - metabolism
/ breasts
/ Cell Line, Tumor
/ Chromatin
/ Chromatin - metabolism
/ Computer applications
/ Consortia
/ Deoxyribonucleic acid
/ DNA
/ Enhancers
/ epithelium
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ histones
/ Human Genetics
/ Humans
/ Life Sciences
/ Microbial Genetics and Genomics
/ neoplasm cells
/ Plant Genetics and Genomics
/ Principal components analysis
/ Proteins
/ risk
/ Transcription factors
/ Tumor cell lines
2020
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Chromatin interactome mapping at 139 independent breast cancer risk signals
by
Kazakoff, Stephen
, Lee, Jason S.
, Dunning, Alison M.
, Waddell, Nicola
, Beesley, Jonathan
, Barnes, Daniel R.
, Hussein, Nehal
, Rosenbluh, Joseph
, Tuano, Natasha
, Fachal, Laura
, Mukhopadhyay, Pamela
, Lima, Luize G.
, Kaufmann, Susanne
, Moradi Marjaneh, Mahdi
, Ham, Sunyoung
, Michailidou, Kyriaki
, Antoniou, Antonis C.
, French, Juliet D.
, Chenevix-Trench, Georgia
, Edwards, Stacey L.
, Hillman, Kristine M.
, Möller, Andreas
, Sivakumaran, Haran
, Easton, Douglas F.
in
Animal Genetics and Genomics
/ Annotations
/ Bioinformatics
/ Biomedical and Life Sciences
/ Breast cancer
/ breast neoplasms
/ Breast Neoplasms - genetics
/ Breast Neoplasms - metabolism
/ breasts
/ Cell Line, Tumor
/ Chromatin
/ Chromatin - metabolism
/ Computer applications
/ Consortia
/ Deoxyribonucleic acid
/ DNA
/ Enhancers
/ epithelium
/ Evolutionary Biology
/ Gene expression
/ Gene mapping
/ genome
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ histones
/ Human Genetics
/ Humans
/ Life Sciences
/ Microbial Genetics and Genomics
/ neoplasm cells
/ Plant Genetics and Genomics
/ Principal components analysis
/ Proteins
/ risk
/ Transcription factors
/ Tumor cell lines
2020
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Chromatin interactome mapping at 139 independent breast cancer risk signals
Journal Article
Chromatin interactome mapping at 139 independent breast cancer risk signals
2020
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Overview
Background
Genome-wide association studies have identified 196 high confidence independent signals associated with breast cancer susceptibility. Variants within these signals frequently fall in distal regulatory DNA elements that control gene expression.
Results
We designed a Capture Hi-C array to enrich for chromatin interactions between the credible causal variants and target genes in six human mammary epithelial and breast cancer cell lines. We show that interacting regions are enriched for open chromatin, histone marks for active enhancers, and transcription factors relevant to breast biology. We exploit this comprehensive resource to identify candidate target genes at 139 independent breast cancer risk signals and explore the functional mechanism underlying altered risk at the 12q24 risk region.
Conclusions
Our results demonstrate the power of combining genetics, computational genomics, and molecular studies to rationalize the identification of key variants and candidate target genes at breast cancer GWAS signals.
Publisher
BioMed Central,Springer Nature B.V,BMC
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