Multi-omics to shed light on the pathogenesis of multifactorial diseases
Multi-omics to shed light on the pathogenesis of multifactorial diseases
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About this Research Topic
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Background
Multifactorial diseases pose a significant global health challenge, impacting economically developed nations with conditions like cardiovascular and cerebrovascular diseases, cancers, and diabetes, which collectively account for approximately 70% of worldwide mortalities. These conditions, often described as complex due to their multifarious etiopathogenesis and variable individual manifestations, are primarily influenced by genetic, lifestyle, and environmental factors such as diet, exercise, and exposure to pollutants. This complexity not only makes analysis challenging but also drives the continual evolution of environmental health science, which aims to illuminate the intricate interplay between environmental factors and human health.
This Research Topic aims to deepen the understanding of multifactorial diseases by harnessing recent advances in multi-omics technologies. High-throughput methods like next-generation sequencing and genotyping arrays have already reshaped our grasp of complex phenotypes. The integration of genomic, transcriptomic, epigenetic, proteomic, and metabolomic data offers a promising avenue to delineate the molecular alterations associated with these diseases, potentially speeding up the identification of new biomarkers and therapeutic targets.
To gather further insights into these complex interactions, we welcome articles focusing on, but not limited to, the following themes:
- Innovative multi-omics techniques and their application in disease analysis - Case studies on the use of integrative omics in identifying disease mechanisms - Development of computational models to predict disease progression and treatment outcomes - Reviews of methodological advancements in multi-omics - Experimental research drawing from basic cellular biology to inform omics approaches
Through comprehensive studies and methodological innovations, this collection aims to highlight how integrative approaches can enhance our understanding of disease mechanisms and foster the development of medical interventions.
Keywords: omics, human health, biomarker discovery, gene-environment interaction
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