Evidence map›Paper›PMID 41457227›Full record

ArticleBMC women's health2025

Causal relationship between diet and common female diseases: a comprehensive Mendelian randomization study.

Mengyu Fu, Fengying Deng, Jie Chen, Mingli Wen, Xiaoyue Zhu, Li Fu, Jiewen Guan, Junlan Qiu, Qinqin Gao, Hongmei Ding

Abstract read
In one paragraph

Article in BMC women's health, 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
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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

10 authors.

Mengyu Fu *Institute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Fengying Deng *Institute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Jie Chen *Institute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Mingli WenInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Xiaoyue ZhuDepartment of Clinical Nutrition, Suzhou Municipal Hospital, Suzhou, 215000, China.
Li FuInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Jiewen GuanInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Junlan QiuInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China. qiujunland@163.com.
Qinqin GaoInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China. sdffygaoqinqin@163.com.
Hongmei DingInstitute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China. 10398836@qq.com.

Funding

Beijing Baiqiu Public Welfare Foundation STLKY2-018Boxi Youth Natural Science Foundation BXQN2023024General Programs of Jiangsu Commission of Health M2021087National Nature and Science Foundation of China 82571952, 82271724, and 81873841Open Research Project of Jiangsu Engineering Research Center for Tumor Small Molecule Targeted Therapy and Companion Diagnosis SGK1202411Suzhou basic research pilot project SSD2024046Suzhou Medical and Industrial Integration Collaborative Innovation Research Project SLJ202012Suzhou Municipal Key Discipline of Obstetrics and Gynecology SZXK202504Suzhou Municipal Key Laboratory of Maternal and developmental origins of chronic diseases SZS2025009Suzhou Science and Education Strong Health Youth Science Foundation QNXM2024006
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the causal relationship between dietary habits and nine common diseases with high female prevalence using a two-sample Mendelian randomization (MR) approach.

methodsDrawing upon pooled Genome-Wide Association Study (GWAS) data from European cohorts, this research interrogated genetic associations across 21 detailed dietary classifications and nine major diseases with high prevalence in women.

resultsOur study identified multiple associations between dietary factors and gynecological disease risks. In initial analyses, dried fruit was inversely associated with breast and cervical cancer, while beef increased breast cancer risk. Endometrial cancer risk was linked to coffee, alcohol, and non-oily fish. Ovarian cancer risk exhibited mixed associations, rising with alcohol and non-oily fish but decreasing with pork, dried fruit, and beef. Among benign conditions, risk associations were observed for ovarian cysts (positive with omelette/whole-wheat; negative with coffee/lobster/dark chocolate/dried fruit), endometriosis (positive with shellfish; negative with coffee/cheese), uterine fibroids (coffee, dried fruit, non-oily fish), premature ovarian failure (protective: soya dessert; risk: herbal tea, dark chocolate, whole-wheat), and polycystic ovary syndrome (fresh fruit, yogurt, herbal tea). However, after false discovery rate (FDR) correction for multiple testing, only two associations remained significant: dried fruit intake with a reduced risk of breast cancer and coffee intake with an increased risk of uterine fibroids.

conclusionOur comprehensive MR analysis yields insights into the potential causal links between dietary factors and common diseases in women, paving the way for non-pharmacological public health interventions. The findings highlight the potential of dietary modifications as a preventative measure against the onset of these conditions.

Indexed as

DietFeeding BehaviorFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk FactorsFemale diseasesFoodMacronutrientMendelian randomization

Identifiers

PMID41457227
PMCPMC12853745

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LicenceCC BY-NC-ND
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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.