Top Drug+ is recommended if you want more information on how your body may breakdown some of the commonly prescribed medications to treat
CYP2C19 gene* CYP2D6 gene* CYP2C9 gene*
CYP3A5 gene* IFNL3 gene*
Top Drug+ describes if a person has certain Alleles that can affect how quickly a drug is metabolized (broken down) in the body, and may be associated with higher risk of nonresponse or over response to medications, adverse drug reactions and drug toxicities.
Based on your uploaded Raw DNA file, and published scientific literature your predicted Metabolic Activity is classified as follows;
Normal Metabolizer (NM) Utra Rapid Metabolizer (UM), Intermediate Metabolizer (IM) and Poor Metabolizer (PM). Increased risk of ineffective therapy or side effects depends on gene ana;yzed.
We'll deliver Top Drug to your inbox within 72 hours of your order.
Upload Raw DNA file
After placing your order, please upload your Raw DNA file to our secure upload link (our system accepts files in csv format)
Here's how to convert your file to .csv
Download your raw DNA data to your computer. File format is usually (file.txt) . Click File in Notepad or any other text editor and click Save As. In the File name box, type the name of your file followed by . CSV For example, if you wanted to save a Raw as a CSV, you may type Raw.csv
The information in this Report is for informational and educational purposes only. It is not intended for direct diagnostic use or medical decision-making. Individuals should not change their health behavior solely on the basis of information contained on this website. If you have questions about the information contained on this website, please see a health care professional.
*This product provides only a preliminary analytical result. An independent, clinically validated test must be used in connection with the medical trait in question.Limitations: This product analyzes certain genetic variants associated with how quickly a medication is metabolized in the body. This product does not query all possible alleles associated with drug metabolism. Results may change as research advances and permit us to better understand what these genetic variations mean for health. Numerous factors can affect response to a medicine, including gender, age, and diet. Not a diagnostic product. Contains data from dbSNP, ClinVar, 1000 genomes project, COSMIC, dbGaP, dbVAR, EGA and many other sources.
Warning: The software and technology components may be subject to United States
trade secret protection laws and the The Defend Trade Secrets Act.