Aging is a common underlying and the most influential risk factor of many major diseases, such as cancers, cardiovascular diseases, metabolic diseases, and neurodegenerative diseases, which hinder public health and are major causes of death at the beginning of this century. Recent studies have been discovering de novo genetic and epigenetic factors that mark the speed of the aging process or regulate age-related functional declines. Especially with the application of omics approaches, fast development in this field of research will lead to interventions of age-related conditions, and therefore, may become a key contributor to the improvement of human healthspan and longevity in the 21st century.
The aim of this Research Topic is to highlight new discoveries in the genomics and epigenomics of aging.
Multiple different approaches are nowadays utilized to address this topic. Genetic epidemiological studies are discovering genetic loci and pathways associated with age-related diseases and longevity in humans. Based on the same approach, the discovery of the DNA methylation clock represents systematic changes that occur during aging. With the development of single-cell omics methodologies, recent studies are revealing the landscape of elevated genetic and epigenetic heterogeneity during aging, which is a result of the stochastic aspect of the process. Of course, basic molecular studies using cell lines and animal models are encoding genetic mechanisms that explain these associations.
We encourage the submission of Original Research, Brief Research Report, Methods, Review, Hypothesis and Theory, and Perspective articles presenting and discussing any aspects related to genetics and epigenetics of aging using omics approaches. Topics of interest include, but are not limited to:
- Genetic factors of longevity or age-related diseases (ARD)
- Epigenetic patterns during aging or ARD progression
- Genomic, transcriptomic and epigenomic dataset of aging tissues
- Single-cell genomic, transcriptomic and epigenomic analyses of aging tissues
- Computational approaches to analyze omics data of aging or ARD
- Genetic pathways regulating the aging process or ARD progression
Aging is a common underlying and the most influential risk factor of many major diseases, such as cancers, cardiovascular diseases, metabolic diseases, and neurodegenerative diseases, which hinder public health and are major causes of death at the beginning of this century. Recent studies have been discovering de novo genetic and epigenetic factors that mark the speed of the aging process or regulate age-related functional declines. Especially with the application of omics approaches, fast development in this field of research will lead to interventions of age-related conditions, and therefore, may become a key contributor to the improvement of human healthspan and longevity in the 21st century.
The aim of this Research Topic is to highlight new discoveries in the genomics and epigenomics of aging.
Multiple different approaches are nowadays utilized to address this topic. Genetic epidemiological studies are discovering genetic loci and pathways associated with age-related diseases and longevity in humans. Based on the same approach, the discovery of the DNA methylation clock represents systematic changes that occur during aging. With the development of single-cell omics methodologies, recent studies are revealing the landscape of elevated genetic and epigenetic heterogeneity during aging, which is a result of the stochastic aspect of the process. Of course, basic molecular studies using cell lines and animal models are encoding genetic mechanisms that explain these associations.
We encourage the submission of Original Research, Brief Research Report, Methods, Review, Hypothesis and Theory, and Perspective articles presenting and discussing any aspects related to genetics and epigenetics of aging using omics approaches. Topics of interest include, but are not limited to:
- Genetic factors of longevity or age-related diseases (ARD)
- Epigenetic patterns during aging or ARD progression
- Genomic, transcriptomic and epigenomic dataset of aging tissues
- Single-cell genomic, transcriptomic and epigenomic analyses of aging tissues
- Computational approaches to analyze omics data of aging or ARD
- Genetic pathways regulating the aging process or ARD progression
