Association Analysis of Age Acceleration and Neurodegenerative Diseases
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Association Analysis of Age Acceleration and Neurodegenerative Diseases


Neurodegenerative diseases encompass a heterogeneous group of conditions characterized by the progressive degeneration of the structure and function of the central or peripheral nervous systems. Using a measure of accelerated aging defined as the residuals from a linear regression of DNA methylation age on chronological age, several studies have shown accelerated DNA methylation aging, compared with chronological aging, for a broad spectrum of neurodegenerative diseases.


At CD BioScience, our company conducts association studies to investigate the link between DNA methylation age acceleration and the development or progression of various neurodegenerative disorders. By employing advanced molecular techniques and data analytics, our team of experts aims to unravel the intricate relationship between aging and neurodegeneration.

Types of Neurodegenerative Diseases Associated With Age Acceleration That We Analyze

We focus on analyzing the association between age acceleration and several major neurodegenerative diseases, including Parkinson's disease (PD), Alzheimer's disease (AD), Huntington's disease, amyotrophic lateral sclerosis (ALS), and frontotemporal dementia (FTD). Our services elucidate the complex interactions between aging processes and disease pathogenesis. Researchers can identify biomarkers or other measurable factors that can be used for early detection.

Our Association Analysis Services for Age Acceleration and Neurodegenerative Diseases

  • Analysis of DNA methylation age acceleration
    We help clients select suitable epigenetic clocks, including but not limited to Hannum, Horvath, PhenoAge, and GrimAge clocks. We assess the biological age of individuals in comparison to their chronological age. Our services enable the quantification of age acceleration and the identification of individuals experiencing accelerated aging processes.
  • Association analysis of age acceleration and neurodegenerative diseases
    We employ advanced statistical analysis techniques to identify associations between DNA methylation age acceleration and neurodegenerative diseases. Using measures such as the Pearson correlation coefficient or Spearman's rank correlation coefficient, we quantify the strength and direction of the association between variables. We also perform regression models to examine the relationship between age acceleration and specific neurodegenerative diseases, controlling for other relevant factors. Our services assist clients in predicting neurodegenerative diseases through age acceleration and other variables using machine learning algorithms, such as decision trees, random forests, or logistic regression.
  • Adjusting for confounding factors
    We carefully account for potential confounding factors, including genetic variations, lifestyle factors, and comorbidities, which may influence the observed associations. Our approach ensures robust results and helps unravel the true relationship between DNA methylation age acceleration and neurodegenerative diseases.

Our Service Advantages

  • We have in-depth knowledge of different neurodegenerative diseases and their pathophysiology.
  • We keep up with the latest advancements in genomic technologies, epigenetic tools, and analytical platforms.
  • We adhere to rigorous quality control and assurance protocols to ensure the reliability and reproducibility of research findings.

CD BioSciences is dedicated to providing cutting-edge research services that explore the association between DNA methylation age acceleration and neurodegenerative diseases. With our expertise, advanced technologies, and comprehensive approach to data analysis, we aim to advance scientific understanding in this critical field. If you are interested in our services, please feel free to contact us or make an online inquiry.

All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.