Please use this identifier to cite or link to this item:
10.1002/gepi.22288
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Feng, Helian | - |
dc.contributor.author | Gusev, Alexander | - |
dc.contributor.author | Pasaniuc, Bogdan | - |
dc.contributor.author | GEMO Study Collaborators | - |
dc.contributor.author | Nikitina-Zake, Liene | - |
dc.date.accessioned | 2022-01-17T11:30:01Z | - |
dc.date.available | 2022-01-17T11:30:01Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.citation | Feng , H , Gusev , A , Pasaniuc , B , GEMO Study Collaborators & Nikitina-Zake , L 2020 , ' Transcriptome-wide association study of breast cancer risk by estrogen-receptor status ' , Genetic Epidemiology , vol. 44 , no. 5 , pp. 442-468 . https://doi.org/10.1002/gepi.22288 | - |
dc.identifier.issn | 0741-0395 | - |
dc.identifier.other | unpaywall: 10.1002/gepi.22288 | - |
dc.identifier.uri | https://dspace.rsu.lv/jspui/handle/123456789/7207 | - |
dc.description | © 2020 The Authors. Genetic Epidemiology published by Wiley Periodicals, Inc. | - |
dc.description.abstract | Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer. | en |
dc.format.extent | 27 | - |
dc.format.extent | 2563980 | - |
dc.language.iso | eng | - |
dc.relation.ispartof | Genetic Epidemiology | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.subject | Breast Neoplasms/genetics | - |
dc.subject | Estrogens/metabolism | - |
dc.subject | Female | - |
dc.subject | Genetic Predisposition to Disease | - |
dc.subject | Genome-Wide Association Study | - |
dc.subject | Genomics | - |
dc.subject | Humans | - |
dc.subject | Receptors, Estrogen/metabolism | - |
dc.subject | Risk Assessment | - |
dc.subject | Transcriptome | - |
dc.subject | Vesicular Transport Proteins/genetics | - |
dc.subject | 1.6 Biological sciences | - |
dc.subject | 3.1 Basic medicine | - |
dc.subject | 1.1. Scientific article indexed in Web of Science and/or Scopus database | - |
dc.subject | SDG 3 - Good Health and Well-being | - |
dc.title | Transcriptome-wide association study of breast cancer risk by estrogen-receptor status | en |
dc.type | /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article | - |
dc.identifier.doi | 10.1002/gepi.22288 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85081379482&partnerID=8YFLogxK | - |
dc.description.status | Peer reviewed | - |
Appears in Collections: | Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure |
Files in This Item:
File | Size | Format | |
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Transcriptome_wide_association_study_of_breast_cancer_risk_by_estrogen_receptor_status.pdf | 2.5 MB | Adobe PDF | View/Open |
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