Evidence map›Paper›PMID 38984127›Full record

ArticleFrontiers in ophthalmology2024

Multi-tissue transcriptome-wide association study identifies novel candidate susceptibility genes for cataract.

Hélène Choquet, Matthieu Duot, Victor A Herrera, Sanjaya K Shrestha, Travis J Meyers, Thomas J Hoffmann, Poorab K Sangani, Salil A Lachke

Abstract read
In one paragraph

Article in Frontiers in ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Oxidative Stress in Genetic Cataract Formation.Antioxidants (Basel, Switzerland) · 2024
    Review
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

8 authors.

Hélène ChoquetKaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, United States.
Matthieu DuotDepartment of Biological Sciences, University of Delaware, Newark, DE, United States.
Victor A HerreraKaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, United States.
Sanjaya K ShresthaDepartment of Biological Sciences, University of Delaware, Newark, DE, United States.
Travis J MeyersKaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, United States.
Thomas J HoffmannInstitute for Human Genetics, University of California San Francisco (UCSF), San Francisco, CA, United States.
Poorab K SanganiDepartment of Ophthalmology, KPNC, South San Francisco, CA, United States.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, Newark, DE, United States.

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
The Role of Genetic and Non-Genetic Factors and Causal Mechanisms Underlying Cataract Susceptibility For Risk PredictionR01EY033010 · NEI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHOQUET, HELENE, LACHKE, SALIL · 2022 to 2025
$1.6M
NEI NIH HHS R01 EY033010NIA NIH HHS RC2 AG036607
6 · The paper itself

Abstract

Introduction: Cataract is the leading cause of blindness among the elderly worldwide. Twin and family studies support an important role for genetic factors in cataract susceptibility with heritability estimates up to 58%. To date, 55 loci for cataract have been identified by genome-wide association studies (GWAS), however, much work remains to identify the causal genes. Here, we conducted a transcriptome-wide association study (TWAS) of cataract to prioritize causal genes and identify novel ones, and examine the impact of their expression. Methods: We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 54 tissues (including 49 from the Genotype Tissue Expression (GTEx) Project v8) with cataract using FUSION software. Meta-analyzed GWAS summary statistics from 59,944 cataract cases and 478,571 controls, all of European ancestry and from two cohorts (GERA and UK Biobank) were used. We then examined the expression of the novel genes in the lens tissue using the iSyTE database. Results: Across tissue-specific and multi-tissue analyses, we identified 99 genes for which genetically predicted gene expression was associated with cataract after correcting for multiple testing. Of these 99 genes, 20 ( Discussion: Our results provide evidence of the utility of imputation-based TWAS approaches to characterize known GWAS risk loci and identify novel candidate genes that may increase our understanding of cataract etiology. Our findings also highlight the fact that expression of genes associated with cataract susceptibility is not necessarily restricted to lens tissue.

Indexed as

cataractgene expressiongeneticslens tissuemulti-tissue analysisTWAS - transcriptome-wide association study

Identifiers

PMID38984127
PMCPMC11182099

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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.