scispace - formally typeset
M

Matthias W. Beckmann

Researcher at University of Erlangen-Nuremberg

Publications -  913
Citations -  40161

Matthias W. Beckmann is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 83, co-authored 836 publications receiving 33443 citations. Previous affiliations of Matthias W. Beckmann include National Institutes of Health & University of Chicago.

Papers
More filters
Journal ArticleDOI

Identification of Novel Genetic Markers of Breast Cancer Survival

Qi Guo, +163 more
TL;DR: The results of this large meta-analysis of studies in populations of European ancestry confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.
Journal ArticleDOI

Functional variants at the 11q13 risk locus for breast cancer regulate cyclin D1 expression through long-range enhancers

Juliet D. French, +214 more
TL;DR: Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13, and Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.
Journal ArticleDOI

Hereditary breast and ovarian cancer: review and future perspectives

TL;DR: Prophylactic mastectomy and bilateral ovariectomy are the only options that lead to a demonstrable reduction in risk, but they do, of course, affect the patient’s physical integrity.
Journal ArticleDOI

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Haoyu Zhang, +302 more
- 18 May 2020 - 
TL;DR: A genome-wide association study including 133,384 breast cancer cases and 113,789 controls plus 18,908 BRCA1 mutation carriers of European ancestry provides an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Journal ArticleDOI

DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer

TL;DR: The DNA methylome of 569 breast tissue samples is analysed and it is demonstrated that normal tissue adjacent to breast cancer is characterized by tens to thousands of epigenetic alterations, and their genomic distribution is non-random.