Evidence map›Paper›PMID 42519006›Full record

ArticleiScience2026

Cross-trait genetic architecture between breast cancer and psychiatric disorders.

Canzhou Wang, Jingxi Hu, Yan Lei, Jing Li, Yaochen Zhang, Kai Hu, Liu Liu, Xin Su, Xinxu Wang, Jinqi Wang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. 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

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.

Canzhou WangDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Jingxi HuDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Yan LeiDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Jing LiDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Yaochen ZhangDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Kai HuDepartment of Second Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Liu LiuDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Xin SuDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Xinxu WangDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Jinqi WangDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Yanhong WangSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.
Hongyan JiaDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) and psychiatric disorders are epidemiologically linked, raising the possibility of shared genetic influences. Based on the summary statistics from the genome-wide association studies (GWAS), the genetic correlation and overlap between psychiatric disorders and BC were investigated. Shared pleiotropic loci and genes were identified via cross-trait analyses. Functional annotations and tissue-specific enrichment were carried out to determine potential associations. A total of 7,274 pleiotropic single nucleotide polymorphisms (SNPs) were identified by cross-trait analyses. Furthermore, 156 shared genomic risk loci were identified by annotation, of which 19 passed the colocalization test. The gene-level analysis discovered 142 pleiotropic genes, among which

Indexed as

breast cancergenetic overlapGWASpleiotropic genespsychiatric disorders

Identifiers

PMID42519006
PMCPMC13382130

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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.