Aging

According to studies¹²³, genetic predisposition plays a significant role in aging-related health, affecting factors such as muscle mass, bone density, skin aging, and cognitive function.

The GENOSOPHY® Healthy Aging Genetic Test combines hundreds of genetic variants using GENOSOPHY®’s award-winning algorithm, offering high accuracy in assessing genetic risk for aging-related conditions.

Who Is This Test For?

The test is recommended for:

Individuals who wish to preserve their physical and mental health as they age
People with a family history of osteoporosis or neurodegenerative diseases
Those looking for personalized interventions to support healthy aging

Clinical Benefits of GENOSOPHY®’s Polygenic Risk Score for Healthy Aging

Diagnosis

Identification of individuals with increased genetic risk for osteoporosis, muscle loss, and cognitive decline

Prognosis

Reliable prediction of risk for related conditions, enabling early intervention

Management

Design of personalized strategies for nutrition, exercise, supplementation, and clinical care based on your genetic profile

Testing Procedure

Saliva sample collection
Analysis of 500+ genetic variants and calculation of polygenic risk scores for healthy aging using GENOSOPHY®’s award-winning algorithm
Results delivered within 5–6 weeks

Genetic Analyses Included

Assessment	Genetic Variants Analyzed	Clinical Application
Osteoporosis & Fracture Risk	500 variants	Risk assessment for reduced bone density and fracture susceptibility
Sarcopenia	6 variants	Prediction of muscle mass and strength loss
Neurodegenerative Diseases	2 variants	Risk estimation for Alzheimer’s disease and other forms of dementia
Longevity	5 variants	Identification of genetic factors linked to increased lifespan
Skin Aging	20 variants	Assessment of genetic predisposition across 7 types of skin aging

Supplementary Services

Based on the genetic test results and individual genetic profile, GENOSOPHY® offers:

Genetic counseling
A nutrition plan tailored to the genetic profile
Personalized diet
Custom-designed exercise programs

Selected References

Zillikens MC et al., Nat Commun 2017;8:80. DOI: 10.1038/s41467-017-00031-7
Torigoe et al., npj Aging 2024;10:18. DOI: 10.1038/s41514-024-00142-7
Serrano-Pozo et al., Lancet Neurol 2021;20(1):68–80. DOI: 10.1016/S1474-4422(20)30412-9
Zhou et al., Am J Clin Nutr 2018;108(5):1129–1134. DOI: 10.1093/ajcn/nqy197