ArticleClinical, cosmetic and investigational dermatology2014
Genetic polymorphisms and skin aging: the identification of population genotypic groups holds potential for personalized treatments.
Article in Clinical, cosmetic and investigational dermatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Molecular Targets in Modern Cosmetic Science.Molecules (Basel, Switzerland) · 2026Review
- Potential influence of carbonic anhydrase 9 genetic variants and expression levels on the progression of diabetic retinopathy.International journal of medical sciences · 2026Article
- Nanoparticles as a Promising Approach for Improving Skin Anti-Aging Activity.Nanotechnology, science and applications · 2026Review
- Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery.Communications chemistry · 2025Article
- Exploring skin aging-associated genotypes; Moving toward delivery of precision medicine-based care more than beyond skin deep care: a genome-wide association study.BMC geriatrics · 2025Article
- Genetic profiling and precision skin care: a review.Frontiers in genetics · 2025Review
- Genetic Variants Associated with Sensitive Skin: A Genome-Wide Association Study in Korean Women.Life (Basel, Switzerland) · 2024Article
- Skin Cancer Microenvironment: What We Can Learn from Skin Aging?International journal of molecular sciences · 2023Review
- Genetical Signature-An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice.Journal of personalized medicine · 2023Article
- Focus on the Contribution of Oxidative Stress in Skin Aging.Antioxidants (Basel, Switzerland) · 2022Review
- Evaluation of Personalized Skincare Through in-silico Gene Interactive Networks and Cellular Responses to UVR and Oxidative Stress.Clinical, cosmetic and investigational dermatology · 2022Article
- Assessment of COL1A1 and MMP9 expression in patients with dermatochalasis.International ophthalmology · 2020Article
- Unsupervised Learning and Multipartite Network Models: A Promising Approach for Understanding Traditional Medicine.Frontiers in pharmacology · 2020Review
- Fighting against Skin Aging: The Way from Bench to Bedside.Cell transplantation · 2018Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSkin changes are among the most visible signs of aging. Skin properties such as hydration, elasticity, and antioxidant capacity play a key role in the skin aging process. Skin aging is a complex process influenced by heritable and environmental factors. Recent studies on twins have revealed that up to 60% of the skin aging variation between individuals can be attributed to genetic factors, while the remaining 40% is due to non-genetic factors. Recent advances in genomics and bioinformatics approaches have led to the association of certain single nucleotide polymorphisms (SNPs) to skin properties. Our aim was to classify individuals based on an ensemble of multiple polymorphisms associated with certain properties of the skin for providing personalized skin care and anti-aging therapies. METHODS AND
resultsWe identified the key proteins and SNPs associated with certain properties of the skin that contribute to skin aging. We selected a set of 13 SNPs in gene coding for these proteins which are potentially associated with skin aging. Finally, we classified a sample of 120 female volunteers into ten clusters exhibiting different skin properties according to their genotypic signature.
conclusionThis is the first study that describes the actual frequency of genetic polymorphisms and their distribution in clusters involved in skin aging in a Caucasian population. Individuals can be divided into genetic clusters defined by genotypic variables. These genotypic variables are linked with polymorphisms in one or more genes associated with certain properties of the skin that contribute to a person's perceived age. Therefore, by using this classification, it is possible to characterize human skin care and anti-aging needs on the basis of an individual's genetic signature, thus opening the door to personalized treatments addressed at specific populations. This is part of an ongoing effort towards personalized anti-aging therapies combining genetic signatures with environmental and life style evaluations.
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