Causal Gene Identification and Biomarker Prioritization in Periodontitis via Integrative Multiomics and Mendelian Randomization.

ABSTRACT:

Introduction

Periodontitis is a common inflammatory disease that compromises oral and systemic health. This study aimed to elucidate its molecular mechanisms and identify potential biomarkers for early diagnosis and precision treatment.

Methods

We integrated genome-wide association study (GWAS) and transcriptomic data from periodontitis patients and healthy controls. Summary data-based Mendelian randomization (SMR) and the heterogeneity in dependent instruments (HEIDI) test were used to identify genetically associated genes. Differentially expressed genes (DEGs) were identified using LIMMA, and weighted gene co-expression network analysis (WGCNA) revealed disease-related gene modules. Candidate biomarkers were prioritized through intersection analysis and evaluated using fiv

SUBMITTER: Mo H 

PROVIDER: S-EPMC12668852 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature