Evidence map›Paper›PMID 39922885›Full record

ArticleScientific reports2025

A cross-tissue transcriptome-wide association study identified susceptibility genes for age-related macular degeneration.

Hongfan Yang, Haofei Huang, Kunlin Pu

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

3 authors.

Hongfan YangDepartment of ophthalmology, Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Haofei HuangDepartment of ophthalmology, Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Kunlin PuDepartment of ophthalmology, Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China. woaikanghong@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related macular degeneration (AMD) is a complex multifactorial disease with a significant genetic component. Despite extensive research efforts, the underlying molecular mechanisms remain elusive, necessitating innovative approaches to identify specific genes involved in the pathogenesis of AMD and to elucidate their functional mechanisms. A transcriptome-wide association study (TWAS) was conducted by integrating eQTL data from 49 tissues of the Genotype-Tissue Expression Project (GTEx) v8 and AMD data from FinnGen R10. The Unified Test for Molecular Signatures (UTMOST) and Functional Summary-based Imputation (FUSION) were used to evaluate gene associations with AMD across tissues and within individual tissues, respectively. Multi-marker Analysis of Genomic Annotation (MAGMA) was employed to validate results and identify reliable susceptibility genes, followed by summary data-based Mendelian randomization (SMR) and colocalization analyses to explore causal associations. The cross-tissue and single-tissue TWAS analyses identified 12 reliable AMD-associated genes. MAGMA analysis confirmed 6 of these as reliable susceptibility genes. SMR analysis provided further validation of these genes, although colocalization results were not significant. This study identified six susceptibility genes associated with the risk of AMD through a cross-tissue TWAS, providing new insights into the potential systemic regulatory mechanisms underlying AMD.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMacular DegenerationTranscriptomeGene Expression ProfilingHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociAge-related macular degenerationCross-tissueFUSIONTWASUTMOST

Identifiers

PMID39922885
PMCPMC11807202

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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 OpenQuestion graph.