Evidence map›Paper›PMID 37143087›Full record

SynthesisBMC medicine2023

Investigating the relationship between depression and breast cancer: observational and genetic analyses.

Xueyao Wu, Wenqiang Zhang, Xunying Zhao, Li Zhang, Minghan Xu, Yu Hao, Jinyu Xiao, Ben Zhang, Jiayuan Li, Peter Kraft and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Xueyao Wu *Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Wenqiang Zhang *Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Xunying ZhaoDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Li ZhangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Minghan XuDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Yu HaoDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Jinyu XiaoDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Ben ZhangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Jiayuan LiDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China.
Peter Kraft *Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jordan W Smoller *Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, and Department of Psychiatry, Massachusetts General Hospital, MA, Boston, USA.
Xia Jiang *Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16 Ren Min Nan Lu, Chengdu, Sichuan, 610041, People's Republic of China. xiajiang@scu.edu.cn.ORCID http://orcid.org/0000-0001-5878-8986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth depression and breast cancer (BC) contribute to a substantial global burden of morbidity and mortality among women, and previous studies have observed a potential depression-BC link. We aimed to comprehensively characterize the phenotypic and genetic relationships between depression and BC.

methodsWe first evaluated phenotypic association using longitudinal follow-up data from the UK Biobank (N = 250,294). We then investigated genetic relationships leveraging summary statistics from the hitherto largest genome-wide association study of European individuals conducted for depression (N = 500,199), BC (N = 247,173), and its subtypes based on the status of estrogen receptor (ER + : N = 175,475; ER - : N = 127,442).

resultsObservational analysis suggested an increased hazard of BC in depression patients (HR = 1.10, 95%CIs = 0.95-1.26). A positive genetic correlation between depression and overall BC was observed ([Formula: see text] = 0.08, P = 3.00 × 10

conclusionsOur work demonstrates a shared genetic basis, pleiotropic loci, and a putative causal relationship between depression and BC, highlighting a biological link underlying the observed phenotypic relationship; these findings may provide important implications for future studies aimed reducing BC risk.

Indexed as

Breast NeoplasmsDepressionFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideReceptors, EstrogenRiskReceptors, EstrogenBreast cancerCausal inferenceDepressionGenetic correlationLongitudinal associationPleiotropic loci

Identifiers

PMID37143087
PMCPMC10161423

What OpenQuestion holds

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LicenceCC BY
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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.