Decoding the Power of Genomic Data: Unlocking Lifestyle Disease Management

Genomic data analysis is a common tool now available to all of us. Many individuals are excited and keen to know how the information stored in their DNA can be used for their health, fitness, and aesthetics. In today’s modern era, lifestyle diseases such as diabetes, cardiovascular diseases, and obesity have become significant global health challenges. These diseases are often influenced by a combination of multifactorial and complex genetic and environmental factors. However, the rapid advancements in genomic research and data analysis have opened new horizons to understanding the underlying genetic components of lifestyle diseases, paving the way for more effective management strategies.

Genomic data, which encompasses the complete set of an individual’s genes and their variations, provides valuable insights into how an individual’s genetic makeup can impact their predisposition to certain lifestyle diseases. By analysing genomic data, molecular biologists can identify specific genetic variants or mutations that may increase or decrease an individual’s risk of developing lifestyle diseases. This scientific interpretation of genomic data plays a crucial role in lifestyle disease management in several ways. Further, similar genetic data can also be used to identify the right or personalised steps to be taken to control current lifestyle diseases.  

The most important part of this process is to convert such high-level complex data to lifestyle instructions that are easy to understand and easy to follow. In the absence of such conversions, valuable genetic data may remain only as data that does not carry any impact in life.

The AIRGenomix team comprises molecular biologists, doctors, dietitians, and fitness experts who have been working for several years to develop an algorithm that finds a meaningful place in our life. For example, the biological clock or circadian rhythm of an individual is governed by several genes including the CLOCK gene. Individuals having a genetic variation in the gene will have a metabolism wherein they tend to sleep late, wake up late and have a sluggish early morning. In such cases, the preferred time for exercise is evening instead of early morning. Moreover, such individuals should avoid carbohydrates in their breakfast to avoid and control obesity. Those not having such a genetic variation in the CLOCK gene need not follow such restrictions and can exercise at any time of the day.

A single gene such as the CLOCK gene can provide useful information about the management and prevention of lifestyle diseases. The AIRGenomix proprietary algorithm aims to provide valuable information using genomic data that can bring such meaningful lifestyle changes.