Epigenetic Age Prediction Using Targeted CpG Methylation Analysis
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Solution Overview
Problem
Accurately estimating biological age has been challenging due to the high cost of existing methods and limited predictive correlation with genetic changes, while epigenetic markers such as methylation status show promise in reflecting biological aging.
Innovation Solution
A method involving DNA extraction, sodium bisulfite treatment, PCR amplification of CpG sites, and sequencing to generate methylation values for predicting epigenetic age using a sample extraction test kit and an epigenetic age prediction model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for estimating biological age are used, then accuracy in reflecting biological aging is improved, but cost increases significantly
Solution Approach 1:
The patent segments the genome into specific regions containing CpG sites that are most relevant for age prediction. Instead of analyzing the entire genome or using expensive comprehensive epigenetic profiling, the method identifies and focuses on a subset of informative CpG sites, thereby reducing cost while maintaining prediction accuracy
Solution Approach 2:
The patent applies local quality by focusing analysis on specific CpG sites with known age-related methylation patterns rather than uniform genome-wide analysis. This targeted approach concentrates resources on the most informative locations, achieving accurate age estimation at lower cost
2Loss of information
If genome-scale assays are used to characterize genomic elements, then comprehensive data is obtained, but complexity and cost increase
Solution Approach 1:
The patent extracts only the essential information needed for age prediction from the complex genomic data. By focusing on specific CpG sites and their methylation status rather than comprehensive genome characterization, the method obtains sufficient information for accurate age estimation while avoiding unnecessary complexity
Solution Approach 2:
The patent performs preliminary identification of age-relevant CpG sites before conducting the actual measurement. This pre-selection of informative markers simplifies the subsequent assay design and execution, reducing overall complexity while preserving predictive power
3Measurement precision
If machine learning algorithms are used to detect patterns in genomic data, then predictive accuracy is improved, but computational requirements and complexity increase
Solution Approach 1:
The patent applies partial action by using a simplified machine learning approach that focuses only on the most predictive CpG sites rather than attempting to model all genomic features. This selective application of computational methods achieves accurate predictions with reduced algorithmic complexity
Solution Approach 2:
The patent transforms the complex problem of biological age prediction into a set of measurable parameters (methylation levels at specific CpG sites). By changing the problem representation from complex genomic patterns to quantifiable methylation values, standard machine learning algorithms can be applied effectively without requiring overly complex models
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a cost-effective and accurate estimation of biological age by leveraging methylation values from specific CpG sites, correlating with individual health and aging processes.
Implementation Method 1
processing the DNA to receive processed DNA
Implementation Method 2
amplifying a plurality of loci in the processed DNA to receive amplified DNA
Data Source
AI summary
We propose a method of generating an epigenetic age prediction. The method includes providing a sample extraction test kit, and receiving a sample extracted by the sample extraction test kit. The method further includes extracting DNA from the sample and processing the DNA to receive processed DNA. The method further includes amplifying a plurality of loci in the processed DNA to receive amplified DNA and processing the amplified DNA to receive a plurality of methylation values for one or more CpG sites in the plurality of loci.