Alba Hernangomez-Laderas, Ariadna Cilleros-Portet, Sergi Marí, Bárbara P González-García, Ane Arregi, Alba Jimeno-Romero, Amaia Irizar, Iraia García-Santisteban, Corina Lesseur, Nora Fernandez-Jimenez, Jose Ramon Bilbao
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引用次数: 0
Abstract
Saliva is an accessible biofluid with potential for non-invasive disease diagnostics. This study explores how genetic susceptibility to common diseases is reflected in DNA methylation (DNAm) and gene expression profiles in saliva. We constructed cis-mQTL (n = 345) and cis-eQTL (n = 277) datasets and examined correlations between DNAm and gene expression. Saliva QTLs were integrated with summary statistics from 36 genome-wide association studies (GWAS) using Summary-based Mendelian Randomization (SMR) to identify disease-associated molecular traits. We found 501 CpG sites and 24 genes as candidate biomarkers, as well as 56 eQTMs linked to conditions such as prostate cancer, squamous cell carcinoma, coronary artery disease, type 2 diabetes, and Parkinson's disease. This work introduces a publicly available resource and suggests that saliva-based molecular signatures may capture systemic disease risk, supporting future exploration as diagnostic markers.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.