ArticleNPJ breast cancer2025
Meta-analysis of exome-wide gene burden analysis of breast cancer susceptibility genes.
Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A NovelCurrent oncology (Toronto, Ont.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We provide an updated meta-analysis of rare variants identified by exome sequences and breast cancer risk in up to 74,127 cases and 748,181 controls, combining results from 12,695 cases from the Million Women Study with published summary statistics. Protein-truncating variants in established susceptibility genes BRCA2, BRCA1, CHEK2, PALB2, ATM and MAP3K1 were associated with a risk of breast cancer, while BARD1 and ATRIP met exome-wide significance for the first time.
Identifiers
What OpenQuestion holds
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.