Evidence map›Paper›PMID 39417132›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Association of Gene Variant Type and Location with Breast Cancer Risk in the General Population.

Mwangala P Akamandisa, Nicholas J Boddicker, Siddhartha Yadav, Chunling Hu, Steven N Hart, Christine Ambrosone, Hoda Anton-Culver, Paul L Auer, Clara Bodelon, Elizabeth S Burnside and 35 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

45 authors.

Mwangala P Akamandisa
Nicholas J Boddicker
Siddhartha Yadav
Chunling Hu
Steven N Hart
Christine Ambrosone
Hoda Anton-Culver
Paul L Auer
Clara Bodelon
Elizabeth S Burnside
Fei Chen
Heather A Eliassen
David E Goldgar
Christopher Haiman
James M Hodge
Hongyan Huang
Esther M John
Rachid Karam
James V Lacey
Sara Lindstroem
Elana Martinez
Jie Na
Susan L Neuhausen
Katie M O'Brien
Janet E Olson
Tuya Pal
Julie R Palmer
Alpa V Patel
Tina Pesaran
Eric C Polley
Marcy E Richardson
Kathryn Ruddy
Dale P Sandler
Lauren R Teras
Amy Trentham-Dietz
Celine M Vachon
Clarice Weinberg
Stacey J Winham
Song Yao
Gary Zirpoli
Peter Kraft
Jeffrey N Weitzel
Susan M Domchek
Fergus J Couch
Katherine L Nathanson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Pathogenic variants (PVs) in Objective: To evaluate breast cancer risks associated with PV type and location in Design: Age adjusted case-control association analysis for all participants, subsets of PV carriers, and women with no breast cancer family history in population-based and clinical testing cohorts. Setting: Twelve US population-based studies within the Cancer Risk Estimates Related to Susceptibility (CARRIERS) Consortium, and breast cancer cases from the UK-Biobank and an Ambry Genetics clinical testing cohort. Participants: 32,247 women with and 32,544 age-matched women without a breast cancer diagnosis from CARRIERS; 237 and 1351 women with Exposures: PVs in ATM, BRCA1, BRCA2, CHEK2, and PALB2. Main Outcomes and Measures: PVs were grouped by type and location within genes and assessed for risks of breast cancer (odds ratios (OR), 95% confidence intervals (CI), and p-values) using logistic regression. Mean ages at diagnosis were compared using linear regression. Results: Compared to women carrying Conclusions and Relevance: Population-based and clinical high-risk cohorts establish that PTVs in exon 11 of Key Points:

Identifiers

PMID39417132
PMCPMC11482981

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Registered trials

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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.