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Epigenetics insights from perceived facial aging
by
Mostashari, Ali
, Perišić, Marija Majda
, Khanin, Raya
, Vladimir, Klemo
, Štorga, Mario
in
Accuracy
/ Age
/ Age determination
/ Aging
/ Aging - genetics
/ Biological clocks
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cell cycle
/ Collagen
/ DNA Methylation
/ Elastin
/ Epigenesis, Genetic
/ Epigenetic inheritance
/ Epigenetics
/ Face
/ Gene expression
/ Gene Function
/ Gene loci
/ Genes
/ Genetics
/ Genomes
/ Human Genetics
/ Humans
/ Methylation
/ Mortality
/ Pigmentation
/ Proteins
/ Skin
/ Skin Aging - genetics
/ Skin care products
/ Skin pigmentation
2023
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Epigenetics insights from perceived facial aging
by
Mostashari, Ali
, Perišić, Marija Majda
, Khanin, Raya
, Vladimir, Klemo
, Štorga, Mario
in
Accuracy
/ Age
/ Age determination
/ Aging
/ Aging - genetics
/ Biological clocks
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cell cycle
/ Collagen
/ DNA Methylation
/ Elastin
/ Epigenesis, Genetic
/ Epigenetic inheritance
/ Epigenetics
/ Face
/ Gene expression
/ Gene Function
/ Gene loci
/ Genes
/ Genetics
/ Genomes
/ Human Genetics
/ Humans
/ Methylation
/ Mortality
/ Pigmentation
/ Proteins
/ Skin
/ Skin Aging - genetics
/ Skin care products
/ Skin pigmentation
2023
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Epigenetics insights from perceived facial aging
by
Mostashari, Ali
, Perišić, Marija Majda
, Khanin, Raya
, Vladimir, Klemo
, Štorga, Mario
in
Accuracy
/ Age
/ Age determination
/ Aging
/ Aging - genetics
/ Biological clocks
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cell cycle
/ Collagen
/ DNA Methylation
/ Elastin
/ Epigenesis, Genetic
/ Epigenetic inheritance
/ Epigenetics
/ Face
/ Gene expression
/ Gene Function
/ Gene loci
/ Genes
/ Genetics
/ Genomes
/ Human Genetics
/ Humans
/ Methylation
/ Mortality
/ Pigmentation
/ Proteins
/ Skin
/ Skin Aging - genetics
/ Skin care products
/ Skin pigmentation
2023
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Journal Article
Epigenetics insights from perceived facial aging
2023
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Overview
Facial aging is the most visible manifestation of aging. People desire to look younger than others of the same chronological age. Hence, perceived age is often used as a visible marker of aging, while biological age, often estimated by methylation markers, is used as an objective measure of age. Multiple epigenetics-based clocks have been developed for accurate estimation of general biological age and the age of specific organs, including the skin. However, it is not clear whether the epigenetic biomarkers (CpGs) used in these clocks are drivers of aging processes or consequences of aging. In this proof-of-concept study, we integrate data from GWAS on perceived facial aging and EWAS on CpGs measured in blood. By running EW Mendelian randomization, we identify hundreds of putative CpGs that are potentially causal to perceived facial aging with similar numbers of damaging markers that causally drive or accelerate facial aging and protective methylation markers that causally slow down or protect from aging. We further demonstrate that while candidate causal CpGs have little overlap with known epigenetics-based clocks, they affect genes or proteins with known functions in skin aging, such as skin pigmentation, elastin, and collagen levels. Overall, our results suggest that blood methylation markers reflect facial aging processes, and thus can be used to quantify skin aging and develop anti-aging solutions that target the root causes of aging.
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