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Modular genome-wide gene expression architecture shared by early traits of osteoporosis and atherosclerosis in the Young Finns Study

Binisha H. Mishra, Pashupati P. Mishra, Emma Raitoharju, Saara Marttila, Nina Mononen, Harri Sievänen, Jorma Viikari, Markus Juonala, Marika Laaksonen, Nina Hutri‐Kähönen, Mika Kähönen, Olli T. Raitakari, Terho Lehtimäki

2021Scientific Reports15 citationsDOIOpen Access PDF

Abstract

We analysed whole blood genome-wide expression data to identify gene co-expression modules shared by early traits of osteoporosis and atherosclerosis. Gene expression was profiled for the Young Finns Study participants. Bone mineral density and content were measured as early traits of osteoporosis. Carotid and bulbus intima media thickness were measured as early traits of atherosclerosis. Joint association of the modules, identified with weighted co-expression analysis, with early traits of the diseases was tested with multivariate analysis. Among the six modules significantly correlated with early traits of both the diseases, two had significant (adjusted p-values (p.adj) < 0.05) and another two had suggestively significant (p.adj < 0.25) joint association with the two diseases after adjusting for age, sex, body mass index, smoking habit, alcohol consumption, and physical activity. The three most significant member genes from the significant modules were NOSIP, GXYLT2, and TRIM63 (p.adj ≤ 0.18). Genes in the modules were enriched with biological processes that have separately been found to be involved in either bone metabolism or atherosclerosis. The gene modules and their most significant member genes identified in this study support the osteoporosis-atherosclerosis comorbidity hypothesis and can provide new joint biomarkers for both diseases and their dual prevention.

Topics & Concepts

OsteoporosisGeneGenome-wide association studyGene expressionBody mass indexBiologyGeneticsTranscriptomeQuantitative trait locusInternal medicineMedicineBioinformaticsGenotypeSingle-nucleotide polymorphismBone Metabolism and DiseasesBioinformatics and Genomic NetworksRNA modifications and cancer