Integrative Functional Genomics and Fine-Mapping Identify Regulatory Mechanisms of Multivariate Obesity GWAS and Its Cardiometabolic Implications

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Authors: suijian wang
Cited by: 0

Abstract

Here we construct an integrative multivariate obesity GWAS framework (mvObesity) by jointly modeling five obesity-related traits and systematically integrating functional genomic and single-cell datasets. We delineate shared and trait-specific regulatory architectures, identify high-confidence effector genes, and reveal coordinated neuro-metabolic genetic regulation and cell-type-specific mechanisms underlying cardiometabolic risk.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Language
EN
Document type
Dataset