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Record W4397046531 · doi:10.1681/asn.20223311s1870a

SHROOM3 Expression and CKD: A Mendelian Randomization Analysis

2022· article· en· W4397046531 on OpenAlexaff
Pukhraj S. Gaheer, Nikhil Uppal, Darren Bridgewater, Matthew B. Lanktree

Bibliographic record

VenueJournal of the American Society of Nephrology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
Fundersnot available
KeywordsMendelian randomizationRandomizationMedicineInternal medicineMendelian inheritanceExpression (computer science)BiologyGeneticsRandomized controlled trialGeneComputer scienceGenetic variants

Abstract

fetched live from OpenAlex

Background: Genome-wide association studies (GWAS) identified common genetic variants within 100 kilobases of the transcription start site of SHROOM3 individually associated with chronic kidney disease (CKD), estimated glomerular filtration rate (eGFR), and urinary albumin-to-creatinine ratio (uACR). This upstream region contains regulatory elements, and the location of these variants suggests that altered SHROOM3 expression could be the mechanism underlying the observed associations. We sought to evaluate if a genetically predicted decrease in SHROOM3 expression was associated with an increased risk of CKD. Methods: First, we found genetic variants associated with SHROOM3 expression, known as expression quantitative trait loci (eQTL), by conducting a meta-analysis of 7408 genetic variants from 51 tissue datasets from the public Human Kidney eQTL Atlas, GTEx, and NephQTL resources. Independent eQTL variants were then selected to be used in a two-sample Mendelian randomization analysis. Using European ancestry summary-level GWAS results from the CKDGen Consortium, UK Biobank, and the Finnish Genetics Consortium, we compared the effect of each variant on SHROOM3 expression to its effect on risk of CKD (n = 480,698), baseline cross-sectional eGFR (n = 1,201,929), previously defined decline in eGFR phenotypes “Rapid3” or “CKDi25” (n = 141,964), and uACR (n = 547,361). Results: We identified 50 independent genetic variants associated with SHROOM3 expression (P < 0.05, r2 < 0.01). These variants cumulatively explained 2% of the variability in SHROOM3 expression. A 34% reduction in genetically predicted SHROOM3 expression was associated with a 0.3% (95% CI: 0.1% - 0.5%) reduction in cross-sectional eGFR (P = 0.002). There was no association between genetically predicted SHROOM3 expression and CKD, longitudinal rapid decline in eGFR, or uACR (P > 0.05). Conclusions: Mendelian randomization analysis suggests a small reduction in genetically predicted SHROOM3 expression throughout life is associated with a slightly lower baseline eGFR. In a seeming contradiction, we did not find that lower genetically predicted SHROOM3 expression was associated with the presence of CKD, rapid decline in eGFR, nor uACR. These results are consistent with recent reports that genetic association with cross-sectional eGFR, maximum attained eGFR, longitudinal decline in eGFR, and risk of CKD may differ. Funding: Private Foundation Support

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.051
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.054
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.015
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0040.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.233
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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