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Meta-evolutionary exome analysis identifies novel type 2 diabetes mellitus genes in the UK Biobank and all of us.

PLoS genetics - 1 Sept 2025

Wilhelm Kevin, Asmussen Jennifer, Lee Kwanghyuk, Samieinasab Maryam, Asante Emmanuel, Kimmel Marek, Lichtarge Olivier

Abstract excerpt

Type 2 diabetes mellitus (T2DM) risk is heavily influenced by genetics, yet current association tests have explained only parts of its heritability. We developed MEVA (Meta-Evolutionary Action), a meta-analytic framework that integrates three complementary methods-EAML, Sigma-Diff, and GeneEMBED-to assess the functional burden of protein-coding variants using evolutionary data. MEVA was applied to exome data from...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 41026804
DOI: 10.1371/journal.pgen.1011889
PMCID: PMC12510657

Genes

CALCOCO2
NRIP1
TUBB1
ADAM30
HNF1A
SLC30A8
WFS1
ZFP36L2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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