ArticleNature communications2014
Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 93 papers, 7 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
93 citing papers in PubMed, 7 syntheses or guidelines pooled it, 140 citations in OpenAlex.
- Genetic architecture of mammographic density as a risk factor for breast cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Pooled it
- Association ofJCO global oncology · 2022Pooled it
- Chemoprevention Agents to Reduce Mammographic Breast Density in Premenopausal Women: A Systematic Review of Clinical Trials.JNCI cancer spectrum · 2021Pooled it
- Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants.Nature communications · 2020Pooled it
- Japanese GWAS identifies variants for bust-size, dysmenorrhea, and menstrual fever that are eQTLs for relevant protein-coding or long non-coding RNAs.Scientific reports · 2018Pooled it
- Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.Nature genetics · 2016Pooled it
- A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density.Breast cancer research : BCR · 2015Pooled it
- Integrating breast cancer polygenic risk scores at scale in the WISDOM Study: a national randomized personalized screening trial.Genome medicine · 2025Trial
- Evaluating mammographic density polygenic risk score for contralateral breast cancer risk prediction.Scientific reports · 2026Article
- Cell-type aware transcriptome-wide association study of mammographic density phenotypes.medRxiv : the preprint server for health sciences · 2025Article
- Genome-wide association study of Asian women identifies putative mammographic density-associated loci.Breast cancer research : BCR · 2025Article
- Integrated summary data-based Mendelian randomization and colocalization analysis reveals TNNT3 as a target of Deer-Antler-Ginseng-formula for triple-negative breast cancer.Discover oncology · 2025Article
- Pathogenic variants in TMEM184B cause a neurodevelopmental syndrome associated with alteration of metabolic signaling.American journal of human genetics · 2025Article
- Article
- Pathogenic variants inmedRxiv : the preprint server for health sciences · 2025Article
- Human cytomegalovirus infection coopts chromatin organization to diminish TEAD1 transcription factor activity.bioRxiv : the preprint server for biology · 2025Article
- Multiplex imaging reveals novel patterns of MRTFA/B activation in the breast cancer microenvironment.Journal of translational medicine · 2025Article
- Deletion of Transmembrane protein 184b leads to retina degeneration in mice.Cell proliferation · 2025Article
- Permutation Test for Image-on-Scalar Regression With an Application to Breast Cancer.Statistics in medicine · 2024Article
- Mammographic density mediates the protective effect of early-life body size on breast cancer risk.Nature communications · 2024Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
45 authors at 18 institutions in 7 countries.
Funding
Abstract
Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5 × 10(-8)) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B and SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23 and TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease-susceptibility loci.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.