Evidence map›Paper›PMID 41286184›Full record

ArticleScientific reports2025

Multivariate genome-wide analysis reveals shared genetic architecture and brain structural correlates of human cognitive abilities.

Haifeng Chen, Yuxiong Liao, Luejun Tang, Xiaoyun Wei, Tongshun Li, Wei Chen

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

6 authors.

Haifeng Chen *Department of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China.
Yuxiong Liao *Department of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China.
Luejun TangDepartment of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China.
Xiaoyun WeiDepartment of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China.
Tongshun LiDepartment of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China.
Wei ChenDepartment of Brain Diseases, Ward 1, Nanning Hospital of Traditional Chinese Medicine, Affiliated to Guangxi University of Chinese Medicine, No. 45 Beihu North Road, Xixiangtang District, Nanning, 530000, China. xiaochenbashi@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited knowledge currently exists regarding the shared genetic architecture influencing human cognitive ability-related traits. We utilized Genomic Structural Equation Modeling (Genomic-SEM) along with multiple post-GWAS methods to estimate potentially causal single nucleotide polymorphisms (SNPs) associated with cognitive ability phenotypic variation. Our study identified 3,842 genome-wide significant loci, including 275 novel loci. Applying multiple transcriptome-wide association methods, we analyzed susceptibility gene signal loci highly correlated with cognitive ability GWAS from tissue, cellular, and genomic element perspectives, identifying 13 high-confidence candidate causal genes and related functional element information. Subsequently, we systematically evaluated 80-90% of currently known human common disease data in the IEU database, along with 3,935 brain imaging-derived phenotypes from UK Biobank and cortical morphological features from 51,665 individuals in the ENIGMA database to determine cognitive ability-related susceptibility factors. We applied the BrainXcan pipeline for brain imaging genetic analysis of cognitive abilities. Additionally, we used summary data-based polygenic scoring methods to systematically analyze the genetic contribution of different chromosomes to cognitive abilities and their risk prediction value. Our study, through multivariate GWAS analysis of cognitive ability common genetic factors, contributes to mapping the shared genetic architecture of human cognitive abilities.

Indexed as

BrainCognitionGenome-Wide Association StudyFemaleGenetic Predisposition to DiseaseHumansMaleMultifactorial InheritanceMultivariate AnalysisPhenotypePolymorphism, Single NucleotideBrain imaging geneticsCognitive abilitiesFine-mappingGenome-wide association studyGenomic structural equation modelingNeurogeneticsPolygenic risk scoreTranscriptome-wide association study

Identifiers

PMID41286184
PMCPMC12644536

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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.