Methylation Calculator for Practitioners
Methylation Calculator for Practitioners
Methylation Calculator for Practitioners is a specialized tool designed for practitioners to assess a client’s methylation efficiency based on key genetic variants (SNPs) in the folate and methylation pathways.
By focusing on genes such as FOLR1, FOLR2, DHFR, MTHFD1, MTHFS, and MTHFR (C677T and A1298C), this tool calculates the cumulative impact of these single-nucleotide polymorphisms on 5-methyltetrahydrofolate (5-MTHF) levels, a critical component in methylation processes.
Practitioners can input a client’s specific genetic results in the editable “Clients Deduction” column, while standardized “Hetero Deduction” and “Homo Deduction” values—derived from scientific research—ensure consistent and accurate estimations. With its user-friendly interface and dynamic calculations, this application provides valuable insights into a client’s methylation capacity, supporting personalized health strategies
| Gene SNP | Hetero Deduction | Homo Deduction | Clients Deduction | Percent 5-MTHF |
|---|---|---|---|---|
| Start Raw | 100.00 | |||
| FOLR1 | 20% | 40% | ||
| FOLR2 | 20% | 40% | ||
| DHFR | 10% | 20% | ||
| MTHFD1 | 10% | 20% | ||
| MTHFS | 30% | 60% | ||
| MTHFR C677T | 40% | 70% | ||
| MTHFR A1298C | 10% | 20% | ||
| TOTAL | 100% Methylation |
FAQ
This application helps practitioners estimate a client’s methylation efficiency based on genetic variants (SNPs) in key methylation pathway genes. It calculates the cumulative impact of these SNPs on 5-MTHF (5-methyltetrahydrofolate) levels, which is critical for methylation processes, by applying standardized deductions for each SNP and allowing you to input the client’s specific genetic results.
The application includes the following genes and their associated SNPs: FOLR1, FOLR2, DHFR, MTHFD1, MTHFS, MTHFR C677T, and MTHFR A1298C. These are commonly evaluated in methylation testing due to their roles in folate metabolism and methylation pathways. The list is fixed to ensure consistency with standard methylation panels.
These columns show the estimated reduction in methylation efficiency for each SNP, based on whether the client is heterozygous (one variant allele) or homozygous (two variant alleles). For example, MTHFR C677T has a 40% deduction for heterozygous and 70% for homozygous, reflecting research on its impact on enzyme activity. These values are standardized and not editable, as they are derived from scientific literature.
The “Clients Deduction” column is editable and should be updated based on the client’s genetic test results. For each SNP:
Enter 0% if the client has no variant (wild-type).
Enter the “Hetero Deduction” percentage if the client is heterozygous.
Enter the “Homo Deduction” percentage if the client is homozygous. The application will automatically recalculate the “Percent 5-MTHF” to reflect the client’s overall methylation efficiency.
These values are fixed because they are based on established research data regarding the functional impact of each SNP on methylation efficiency. For example, the deductions for MTHFR C677T (40%/70%) are widely accepted estimates. Keeping them static ensures consistency and accuracy in calculations, but you can contact the developer if you’d like a version that allows editing for research purposes.