Evidence map›Paper›PMID 40524053›Full record

ReviewDiscover oncology2025

Mendelian randomization analysis of modifiable risk factors for breast cancer.

Diabate Ousmane, Jie Liu, Ziyu Liu, Zongjiang Zhou, Liu Liu, Junpu Wang

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Diabate OusmaneDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Jie LiuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Ziyu LiuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Zongjiang ZhouDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Liu LiuFuRong Laboratory, Changsha, China.
Junpu WangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, China. wang-jp2013@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review explores the role of Mendelian randomization (MR) in the analysis of modifiable risk factors for breast cancer. Breast cancer is the most common cancer in women, with risk factors including lifestyle, genetic predisposition, and hormonal influences. Mendelian randomization (MR) is a robust epidemiological tool, uses genetic variants to assess causal relationships between exposures and breast cancer risk. Evidence suggests that obesity, particularly in adulthood, is associated with elevated risk, while early obesity may be protective. Alcohol consumption shows a complex relationship, with adverse effects associated with problematic drinking behaviors rather than moderate drinking. Physical activity is associated with reduced breast cancer risk, likely through hormonal and metabolic pathways. Dietary factors, such as higher intake of monounsaturated fatty acids and vitamin E, appear protective, highlighting the importance of dietary choices. Methodological considerations, including pleiotropy and sample size, are crucial to ensure the validity of MR studies. Overall, this synthesis of existing studies demonstrates the importance of Mendelian randomization (MR) in identifying causal links between modifiable risk factors and breast cancer, which is essential for developing targeted prevention strategies.

Indexed as

Alcohol consumptionBody mass index (BMI)Breast cancerCausal inferenceDietary factorsEpigeneticsEstrogen receptorGenetic variantsHormonal influenceLifestyle factorsMendelian randomization (MR)Modifiable risk factorsObesityPhysical activityPrognostic indicators

Identifiers

PMID40524053
PMCPMC12170467

What OpenQuestion holds

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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.