Explore Your DNA-based predisposition to allergies and sensitivities, watch out for symptoms & design the optimal lifestyle plan for you.

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20 Reports, Risk Assessments and Recommendations

Explore Your DNA-based predisposition to allergies and sensitivities such as gluten sensitivity, lactose intolerance, pet and plant allergies, sensitivity to mercury and benzene, motion sickness, and many others assessed by our AI Genomics network analysis.


A food allergy reaction occurs when your immune system overreacts to a food or a substance in a food, identifying it as a danger and triggering a protective response. Food allergy symptoms are most common in babies and children, but they can appear at any age. Learn more about your potential genetic predispositions for various food allergies.


Millions of people suffer year-round from allergy symptoms. While outdoor allergies can be seasonal, such as hay fever, indoor allergies may last all year long. Explore how your genetics may predispose you to, or protect you from, common indoor & outdoor allergens.


How sensitive you are to chemicals like solvents, volatile organic compounds, and heavy metals, like mercury, is influenced by genetics. Our bodies have a sophisticated system of enzyme pathways to eliminate external particles. Explore your DNA-based predispositions for sensitivity to benzene, mercury, and PCB, and get insights on how to treat exposures.


Your genetic makeup can also influence other sensitivities that impact your life. Explore how your unique genetic makeup impacts your potential predisposition for motion sickness, seasonality, noise sensitivity, and noise-induced hearing loss in this section.

Revolutionary Genomics Technology and Rigorous Science

Most applications rely on single genetic variation-single genetic trait association studies. LifeNome’s AI Genomics technology dynamically explores a network of DNA variations that influence Your potential predisposition. Our proprietary Artificial Intelligence Algorithm uses aggregate analysis of more than 2400 scientific studies calibrated on tens of thousands genomes.


DNA-based predisposition is not a diagnosis of a disease or condition. Predisposition risk or likelihood is a statistical measure based on the latest advances in genomics science and is provided as an additional layer of information for fitness decision-making. FitNome recommendations fall within general guidelines for fitness and do not constitute medical advice. Consult with your Fitness Trainer or Physician before making any major changes to your exercise routines.

Your DNA controls everything about you: from your eye color, sensitivity to sun, and risks of complex diseases. Knowledge of your genetics can be utilized for preventive purposes, leading to healthier life and personalized daily choices. Genetic variations in our DNA impact the way your body processes nutrients, your muscles and joints structure, your skin characteristics, and many other wellness traits, from predisposition to higher blood pressure due to excessive salt consumption, or negative impact of trans-fats.

Wellness Genomics is the science of identifying associations between genetic variations wellness traits identifying associations between genetic variations. This is called predisposition likelihood assessment. LifeNome uses a Computational Genomics engine that assesses the cumulative effect of genetic variations that may impact your wellness traits based on thousands of peer-reviewed genetic studies of various populations and provides you with state of the art predisposition likelihood assessment for that trait.

Most companies you will see use single genetic variations that are available in publicly available studies to assess whether or not you may have a predisposition. There are many problems with this approach. For one you may have multiple genetic variations that are associated with a wellness trait and still have low predisposition likelihood for that trait. This can be because some genetic variations have a lower influence on the total likelihood for some ethnicity than another, and it can also be because there are inhibiting variations that balance the impact of the contributing variations. Our technology looks at genetic patterns cumulatively impacting a cluster of genetic traits and is enhanced by a learning artificial intelligence algorithm that automatically adds new scientific knowledge as it becomes available and gets smarter as it absorbs new genotype-phenotype data.

There are many things to consider when reading your genetics-based wellness assessment. Most wellness traits are influenced by three components: your genetics, your nurture environment (ages 0-7) and your current lifestyle choices. As such, Genetics is not the only determinant for the actual presence of a trait. Genetic predispositions can only tell you the statistical likelihood that you are predisposed to a particular trait such as vitamin deficiency or skin youthfulness. Additionally, many of the large-scale studies performed have been done primarily on European populations.

The scientific studies chosen as an input for our knowledge base are highly curated peer reviewed studies with statistically significant populations and generalizability. As such the knowledge base is the most comprehensive and rigorous set of genomics studies available today. However, a predisposition likelihood model is a risk model and it provides likelihood assessments for a trait. It helps to make precautionary choices for lifestyle, which would allow to mitigate any potential adverse effects of a negative trait and taking advantage of a positive trait. Wellness Genomics is based on the same rigorous scientific principles as Personalized Medicine. As an example consider a well-known genetic variant rs429358 that significantly increases the risk for Alzheimer disease.

The genes and the SNPs are selected based on two criteria: • the significance of the statistical relationship strength between the genetic variations and the trait within the scientific literature and • the presence of that genetic variation within a genotype-phenotype cluster.

The algorithm behind the scores is complex and proprietary, but the basic logic is as follows. First, there are potentially two types of genetic variations present for a single individual: those that contribute to the strength of a trait and those that decrease the strength of a trait. For example, within a single person there may be genetic variations that increase the likelihood that a person may be predisposed to obesity and there may be others that decrease that likelihood. We look at each genetic variation, determine its influence on the trait.
Weigh the importance given its potential role in critical metabolic pathways and enzymatic reactions, explore whether it is co-occurring with other variations that we expect to see if there is a higher risk and calculate a net likelihood score for the individual. Then we look at population data and rank the person based on where they are in terms of likelihood of predisposition compared to the rest of the population. The population percentile score shows the percentage of people who have less likelihood than the individual to be predisposed genetically to a trait.

For every trait we provide you with the list of genetic variations that are present in your DNA which impact the traits both contributing to the predisposition likelihood as well as protecting against it. When you click on those variations, you will be taken to further resources that provide all the studies linked to that variation and its linkage to the particular trait. We also provide additional resources that you can use to study about the trait and the genetic variations further.

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About LifeNome

LifeNome is a groundbreaking DNA-based wellness AI company with the aim of revolutionizing how individuals make personalized wellness decisions. They offer personalized wellness reports to individuals and API services for wellness or genetic testing companies. Their mission is to empower genetics-based personalization of lifestyles for every household.