Evidence map›Paper›PMID 40605082›Full record

ArticleHuman genomics2025

Shared genetic architecture between stroke and blood lipids: a large-scale genome-wide cross-trait analysis.

Wenya Bai, Guilin Zhou, Huan Jiang, Xuelian Li, Jianlin Shao

Abstract read
In one paragraph

Article in Human genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Wenya BaiDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan Province, China.
Guilin ZhouDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan Province, China.
Huan JiangDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan Province, China.
Xuelian LiDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan Province, China.
Jianlin ShaoDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan Province, China. 18940069098@163.com.

Funding

Joint General Project of Applied Basic Research of Yunnan Province 202101AY070001-116Joint General Project of Applied Basic Research of Yunnan Province 202301AY070001-193National Natural Science Foundation of China 82401716National Natural Science Foundation of China 82460252The Yunnan health training project of high level talents H-2024039
6 · The paper itself

Abstract

backgroundBlood lipid levels are linked to stroke risk, but the genetic correlation between blood lipids and stroke is not well understood. We investigated the shared genetic architecture between blood lipids and stroke, including its subtypes, identifying common risk loci, genes, and underlying genetic mechanisms.

methodsUtilizing large-scale genome-wide association study (GWAS) summary data, we identified genetic overlap between blood lipid levels and stroke. Cross-trait pleiotropic analysis was conducted to detect shared pleiotropic loci and genes. The statistical methods employed encompassed linkage disequilibrium score regression (LDSC), stratified-LDSC (s-LDSC), heritability estimation from summary statistics (rho-HESS), pleiotropic analysis under composite null hypothesis (PLACO), cross-trait meta-analyses, colocalization analysis, multi-marker analysis of genomic annotation (MAGMA), tissue-specific enrichment analysis (TSEA), and transcriptome-wide association studies (TWASs). Bidirectional Mendelian randomization (MR) analysis was employed to explore causal associations.

resultsOur research highlights the shared genetic mechanisms between stroke and blood lipid levels. We identified 147 pleiotropic loci at a genome-wide significance level (P < 5 × 10–8). Further gene-level analysis identified 10 unique pleiotropic genes shared by stroke and lipid traits, including CUX2, SH2B3, and ICA1L. Cross-trait meta-analysis identified 28 loci, with colocalization analysis revealing two unique pleiotropic genes, PPTPN11 and SH2B3, significantly enriched in adipose, musculoskeletal, and brain tissues. Two-sample MR analysis indicated that higher HDL-C levels were associated with reduced risks of stroke and IS, while elevated TG levels increased IS risk. In a transcriptome-wide association study, we identified one previously unreported pleiotropic gene (ALDH2).

conclusionsOur research revealed a common genetic architecture between stroke and blood lipid levels, highlighting potential genetic pathways involved in both conditions.

Indexed as

LipidsStrokeGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociLipidsBlood lipid levelCausal inferenceGenetic correlationGenome-wide association studyPleiotropyShared geneticsStroke

Identifiers

PMID40605082
PMCPMC12224841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.