Evidence map›Paper›PMID 42539752›Full record

ArticleFundamental research2026

Multi-trait genetic analysis identifies novel pleiotropic loci for stroke and hematological traits or risk factors.

Yue Jiang, Yingchao Song, Yaqi Li, Yuhao Tong, Huanxin Ding, Linzehao Li, Ziyue Yang, Ziang Meng, Miao Guo, Steven Weidong Su and 1 more

Abstract read
In one paragraph

Article in Fundamental research, 2026. 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

11 authors.

Yue JiangCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Yingchao SongCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Yaqi LiCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Yuhao TongCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Huanxin DingThe First Affiliated Hospital of Shan Dong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250014, China.
Linzehao LiCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Ziyue YangCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Ziang MengComputer and Data Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
Miao GuoSchool of Life Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 271016, China.
Steven Weidong SuCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.
Xiao ChangCollege of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong 250117, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence suggests a correlation between stroke and hematological traits along with their associated risk factors, yet the precise shared genetic basis remains elusive. We collected GWAS summary statistics of stroke and potentially related hematological traits or risk factors from the GWAS Catalog and used LDSC to estimate genetic correlations and heritabilities. For trait pairs with significant correlations, we performed a comprehensive multi-trait GWAS analysis to identify pleiotropic loci shared by stroke and genetically correlated hematological traits or risk factors in both Europeans and East Asians. Our MTAG analysis identified 59 pleiotropic loci associated with both stroke and hypertension in Europeans, along with 17 such loci in East Asians. Among these loci, 33 were previously unknown in Europeans, and six were previously unknown in East Asians, suggesting potential new insights into the genetic basis of these traits. In the MTAG analysis of ischemic stroke and venous thromboembolism, we found six known loci and two novel loci. Notably, the 10q22.1 locus (rs12242391) was identified as an eQTL for the nearby gene TSPAN15 in multiple tissues, including whole blood. Furthermore, the 12q13.13 locus (rs4759076), which had not been reported in association with ischemic stroke or venous thromboembolism previously, exhibited a strong cis-eQTL effect with the nearby gene NFE2, a crucial regulator of megakaryocyte biogenesis and platelet production. Our study provided valuable insights into the shared genetic architecture of stroke and hematological traits or risk factors, highlighting potential avenues for future research and clinical applications.

Indexed as

Genome-wide cross-trait analysisHypertensionIschemic strokeStrokeVenous thromboembolism

Identifiers

PMID42539752
PMCPMC13424371

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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.