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Genetic test celiac

gluten

By Li Dali, Ph.D.

If you tested your DNA with a personal genomics service like 23andMe, AncestryDNA, FamilyTreeDNA, MyHeritage or another testing company, you can learn more about your risk factors for hundreds of diseases. By clicking the button above ⬆️, you can upload your raw DNA data file and receive a personalized 250-page health report with research links that is the most comprehensive.

Celiac disease (CD) is a chronic condition marked by an intolerance to gluten, primarily affecting the small intestine in individuals with a genetic predisposition. It typically resolves upon excluding gluten from the diet. CD entails nutrient malabsorption due to inflammatory damage to the small intestine's mucosa triggered by consuming wheat gluten or similar proteins found in rye, barley, and triticale (a wheat-rye hybrid).

The clinical presentation of CD varies based on factors such as age of onset, gender (with a female-to-male ratio of 2:1), severity of mucosal damage, and dietary patterns. Symptoms can range from typical gastrointestinal issues to atypical signs or even no symptoms at all.

The risk of celiac disease (or gluten intolerance) can be predicted by genetic testing for the HLA-DQ2 and HLA-DQ8 markers.

The TenDNA health DNA report analyzes single nucleotide polymorphisms related to Celiac disease. While this report isn't a diagnostic test, it holds negative predictive value, suggesting Celiac disease is improbable when the predisposing alleles are absent. A positive result suggests some genetic predisposition to Celiac, though overall likelihood remains low.

Upload your raw DNA data to receive your personalized Celiac Report completely free of charge.

Follow the link of the selected polymorphism to read a brief description of how the selected polymorphism affects Gluten and celiac disease and see a list of existing studies.

SNP polymorphisms related to the topic Gluten and celiac disease:

rs2858331Together with the rs4988889 gene breakage, it is a diagnostic criterion for celiac disease.
rs4988889Together with the rs2858331 gene breakage, it is a diagnostic criterion for celiac disease.
rs2187668Risk of autoimmune diseases (lupus, gluten disease).
rs45450798Polymorphisms affecting the disease process in type 1 diabetes and celiac disease.
rs6441961Increased risk of gluten disease.
rs2395182HLA DQ2.2 genes play an important role in many autoimmune diseases such as celiac disease, type 1 diabetes, rheumatoid arthritis, multiple sclerosis, psoriasis and others.
rs7775228HLA DQ2.2 genes play an important role in many autoimmune diseases such as celiac disease, type 1 diabetes, rheumatoid arthritis, multiple sclerosis, psoriasis and others.
rs4713586HLA DQ2.2 genes play an important role in many autoimmune diseases such as celiac disease, type 1 diabetes, rheumatoid arthritis, multiple sclerosis, psoriasis and others.
rs2816316Genetic variant risk for type 1 diabetes and gluten disease.
rs9851967Genetic risk of celiac disease associated with immune response.
rs1464510Common genetic variant in type 1 diabetes and celiac disease.
rs1738074Common genetic variant in type 1 diabetes and celiac disease.
rs13119723Combined with the rs6822844 breakage, the study showed the strongest association with celiac disease among Caucasian patients.
rs6822844Combined with the rs13119723 breakage, the study showed the strongest association with celiac disease among Caucasian patients.
rs3184504A variant of celiac disease genetic risk associated with immune response. Also carrier associated type 1 diabetes.
rs231775

About The Author
Li Dali Li Dali

Li Dali, a National Foundation for Outstanding Youth Fund recipient, is a researcher at the School of Life Sciences in East China Normal University. He earned his PhD in genetics from Hunan Normal University in 2007 and conducted collaborative research at Texas A&M University during his doctoral studies. Li Dali and his team have optimized and innovated gene editing technology, leading to the establishment of a world-class system for constructing gene editing disease models.

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