Launching a Health Report for Autoimmune Thyroid Disease (AITD)
Team Genomes are extremely excited to announce the launch of an Autoimmune Thyroid Disease (AITD) report on our infrastructure, providing our vault holders with crucial insight into their genome.
Autoimmune thyroid disease (AITD) refers to a collection of conditions in which the thyroid gland is unintentionally targeted by the immune system. AITD is mainly composed of Graves’ disease and Hashimoto’s thyroiditis. These disorders can result in hypothyroidism, or hyperthyroidism, which can cause a variety of symptoms.
Although the specific origin of autoimmune thyroid disease is unknown, a mix of hormonal, environmental, and genetic variables are thought to be responsible. A family history of thyroid or other autoimmune diseases increases the risk, suggesting a genetic predisposition. Stress, infections, and exposure to specific chemicals are examples of environmental triggers that can start or worsen the immune system’s attack on the thyroid.
Research continues to explore these complex interactions to better understand and manage autoimmune thyroid disease.
You can read more about the symptoms and the condition here.
Why are we doing this?
With these reports it is our goal to provide our users with crucial insights about their health using genomic data so they can better understand who they are and act effectively to live a long, healthy and happy life.
One of our other aims at Genomes is to safely and equitably contribute to scientific research that benefits the future health of all of us. We are very happy to be working towards this through our health reports. We invite you to embark on this exciting journey with us!
IMPORTANT NOTE: The information provided in our report is genotypic, and is not intended as medical advice or as a diagnosis. If you have any concerns based on the results, we strongly recommend consulting a medical professional who can provide the appropriate guidance and support.
How the report works
Our reports make use of Genome Wide Association studies (GWAS) which compare affected individuals against unaffected individuals in order to identify susceptibility genes. The data from GWAS studies allow us to calculate a polygenic risk score based on your sequenced genome.
The GWAS studies work by examining Single Nucleotide Polymorphisms (SNPs), which are a single base pair change in your DNA sequence. These act as genetic markers, which can be seen in affected individuals and associated with nearby genes. Once there has been association made this can be further examined by looking on online databases, allowing the confirmation of it being a risk or susceptibility gene.
The test will show you a polygenic risk score, which allows you to see the risk of developing the disease based on your genetic variations. No raw data will ever leave your vault, with the reports being generated within your web account.
To run your test and get your personalised results, head over to your dashboard at Genomes.io.
As always, feel free to connect with us via info@genomes.io should you have any further questions. We are happy to help wherever we can.
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