Evidence map›Paper›PMID 41243181›Full record

SynthesisG3 (Bethesda, Md.)2026

Brain transcriptome-wide association studies in diverse ancestral populations reveal genes implicated in an anxiety-related phenotype.

Maya Z Sharma, Heather E Wheeler

Abstract readMeta-Analysis
In one paragraph

Synthesis in G3 (Bethesda, Md.), 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

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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

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

2 authors.

Maya Z SharmaDepartment of Biology, Loyola University Chicago, 1032 W. Sheridan Rd., Chicago, IL 60660, United States.
Heather E WheelerDepartment of Biology, Loyola University Chicago, 1032 W. Sheridan Rd., Chicago, IL 60660, United States.ORCID 0000-0003-1365-9667

Funding

Predicting gene regulation across populations to understand mechanisms underlying complex traitsR15HG009569 · NHGRI · LOYOLA UNIVERSITY OF CHICAGO · PI WHEELER, HEATHER ELIZABETH · 2017 to 2023
$1.3M
NHGRI NIH HHS R15 HG009569
6 · The paper itself

Abstract

Anxiety is the most prevalent form of mental illness in the United States. We aimed to identify genetic variation underlying anxiety in diverse ancestral populations through integrating genomic and brain transcriptomic data. We analyzed genome-wide association study (GWAS) summary statistics, using the "Worrier/Anxious Feelings" phenotype from Pan-UK Biobank. We identified 67 independent significant loci in the combined meta-analysis of six ancestral populations (META-GWAS) and 1 locus in the African (AFR) GWAS (P < 5.0 × 10-8). We performed transcriptome-wide association studies (TWAS) and identified 683 significantly associated genes in the META-TWAS, and 1 gene in the AFR-TWAS (P < 3.85 × 10-6). Namely, we identified CADM2 in the META-TWAS and its predicted paralog SMAGP in the AFR-TWAS. The genes identified in TWAS were enriched for variants associated with autism, neuroticism, and schizophrenia, highlighting shared genetic architecture among neuropsychiatric traits. In this study, we present these loci and genes as potential targets for future research on anxiety-related phenotypes.

Indexed as

AnxietyBrainGenetic Predisposition to DiseaseGenome-Wide Association StudyTranscriptomeHumansPhenotypePolymorphism, Single Nucleotideanxietybrain transcriptomecolocalizationeQTLGWASTWAS

Identifiers

PMID41243181
PMCPMC12774604

What Socratic holds

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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 Socratic graph.