Gene Type Associated with Higher Risk of Celiac Disease
|
By LabMedica International staff writers Posted on 10 Jul 2014 |
Researcher have found that children born with 2 copies of a high-risk variant in a specific group of genes confers 26% chance of developing celiac disease autoimmunity (CDA), an early sign of celiac disease (CD), by age 5. They also found a higher celiac risk in Sweden than in the three other studied countries, even with the same genetic risk factors.
The Environmental Determinants of Diabetes in Youth consortium (TEDDY) is studying CD and type-1 diabetes because both are autoimmune diseases with some of the same genetic risk factors. CD (which stems from an immune reaction to gluten) occurs in just under 1% of the USA population, and is more common than type-1 diabetes. The celiac study followed 6,403 newborn children with either of two high-risk gene groups important for immune function—HLA-DR3-DQ2 or HLA-DR4-DQ8—to see who would develop CD or CDA. These genes are involved in presenting gluten to immune cells. Over five years, 291 developed CD, while another 786 developed CDA.
“By looking at the genes of the children who participated in TEDDY, we can now identify who among them is at highest risk for CD, and their parents and health care providers can monitor these children to detect the disease early,” said Beena Akolkar, PhD, project scientist for TEDDY at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; primary funder of TEDDY) of the US National Institutes of Health (NIH; Bethesda, MD, USA).
Researchers found that youth with 2 copies of HLA-DR3-DQ2 had the highest likelihood of disease development by age 5. Of this group, 26% developed CDA by age 5 and 12% developed CD. In those with 1 copy of HLA-DR3-DQ2, the risks of CDA and CD by age 5 were 11% and 3%, respectively. About 90% of CD patients carry HLA-DR3-DQ2.
Based on earlier research, lower rates of CDA and CD were expected in the USA and Germany than in Sweden. Rates of CDA in Sweden were nearly double the USA rates. However, the researchers were surprised to discover that Sweden also had higher rates of CDA and CD than Finland. “We’ve long known that Sweden has a high incidence of CD, but we don’t yet know why. TEDDY’s unique structure of having the same protocol in several countries enables us to search for factors that trigger the disease,” said the paper’s senior author Daniel Agardh, MD, PhD, of Lund University in Sweden, “By studying similarities and differences between genes and environmental factors in these countries, we hope to pinpoint risk factors for the disease.” This study will include examining how diet affects bacteria in the gut and the immune system of children with differing genetic risks.
The primary goal of TEDDY is to find the causes of type-1 diabetes—why some children with high-risk genes for type-1 diabetes go on to develop the disease while others with the same genetic risk do not. “With research networks like TEDDY, NIH is actively seeking to understand how diseases like celiac and type-1 diabetes occur and, by using genetic screening and other tools, to develop a more personalized approach to disease prevention and treatment,” said NIDDK Director Griffin P. Rodgers, MD.
The study was reported by Liu E. et al. in the New England Journal of Medicine, July 3, 2014.
Related Links:
National Institutes of Health
The Environmental Determinants of Diabetes in Youth consortium (TEDDY)
Celiac disease
The Environmental Determinants of Diabetes in Youth consortium (TEDDY) is studying CD and type-1 diabetes because both are autoimmune diseases with some of the same genetic risk factors. CD (which stems from an immune reaction to gluten) occurs in just under 1% of the USA population, and is more common than type-1 diabetes. The celiac study followed 6,403 newborn children with either of two high-risk gene groups important for immune function—HLA-DR3-DQ2 or HLA-DR4-DQ8—to see who would develop CD or CDA. These genes are involved in presenting gluten to immune cells. Over five years, 291 developed CD, while another 786 developed CDA.
“By looking at the genes of the children who participated in TEDDY, we can now identify who among them is at highest risk for CD, and their parents and health care providers can monitor these children to detect the disease early,” said Beena Akolkar, PhD, project scientist for TEDDY at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; primary funder of TEDDY) of the US National Institutes of Health (NIH; Bethesda, MD, USA).
Researchers found that youth with 2 copies of HLA-DR3-DQ2 had the highest likelihood of disease development by age 5. Of this group, 26% developed CDA by age 5 and 12% developed CD. In those with 1 copy of HLA-DR3-DQ2, the risks of CDA and CD by age 5 were 11% and 3%, respectively. About 90% of CD patients carry HLA-DR3-DQ2.
Based on earlier research, lower rates of CDA and CD were expected in the USA and Germany than in Sweden. Rates of CDA in Sweden were nearly double the USA rates. However, the researchers were surprised to discover that Sweden also had higher rates of CDA and CD than Finland. “We’ve long known that Sweden has a high incidence of CD, but we don’t yet know why. TEDDY’s unique structure of having the same protocol in several countries enables us to search for factors that trigger the disease,” said the paper’s senior author Daniel Agardh, MD, PhD, of Lund University in Sweden, “By studying similarities and differences between genes and environmental factors in these countries, we hope to pinpoint risk factors for the disease.” This study will include examining how diet affects bacteria in the gut and the immune system of children with differing genetic risks.
The primary goal of TEDDY is to find the causes of type-1 diabetes—why some children with high-risk genes for type-1 diabetes go on to develop the disease while others with the same genetic risk do not. “With research networks like TEDDY, NIH is actively seeking to understand how diseases like celiac and type-1 diabetes occur and, by using genetic screening and other tools, to develop a more personalized approach to disease prevention and treatment,” said NIDDK Director Griffin P. Rodgers, MD.
The study was reported by Liu E. et al. in the New England Journal of Medicine, July 3, 2014.
Related Links:
National Institutes of Health
The Environmental Determinants of Diabetes in Youth consortium (TEDDY)
Celiac disease
Latest Molecular Diagnostics News
- Genetic Signature Predicts Myeloid Leukemia Risk in Down Syndrome
- Gene Expression Model Guides Neoadjuvant Therapy Selection in Breast Cancer
- AI Blood Test Enhances Monitoring of Liver Cirrhosis Progression
- Cancer-Related Mutations in Immune Cells Linked to Alzheimer’s
- Composite Blood Biomarkers Enable Early Detection of Common Cancers
- Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary
- Blood Test Enables Early Detection and Classification of Glioma
- Multi-Biomarker Blood Test Detects Early-Stage Cancers Across Types
- New Sample-to-Answer PCR System Supports High-Throughput Infectious Disease Testing
- Framework Guides Targeted Immunotherapy Selection in Liver Cancer
- Collaboration Brings Rapid At-Home STI Testing with Virtual Follow-Up
- Blood-Based Epigenetic Signals Enable Osteosarcoma Disease Monitoring
- Host–Virus Genetic Interactions Drive Nasopharyngeal Cancer Risk
- AI-Enabled Biochip Detects microRNA Biomarkers in Minutes
- Blood Test Detects Early Pancreatic Cancer in High-Risk Patients
- Long-Read RNA Sequencing Platform Improves Rare Disease Diagnosis
Channels
Clinical Chemistry
view channel
Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges
Serum proteins underpin many routine tests used to detect inflammation, hormonal imbalance, cardiovascular disease, and metabolic disorders. Yet pediatric interpretation often relies on adult reference... Read more
Routine Blood Count Ratio Linked to Future Alzheimer’s and Dementia Risk
Alzheimer’s disease and related dementias develop over years, making it difficult to identify at-risk patients before symptoms appear. Clinicians therefore need widely available laboratory markers that... Read more
Label-Free Microfluidic Device Enriches Tumor Cells and Clusters from Pleural Effusions
Diagnosing malignancy from pleural effusion remains challenging because tumor cells are rare and clusters are easily disrupted during processing. Conventional cytology can miss malignant tumor cells and... Read moreHematology
view channel
Single Assay Enables Rapid HLA and ABO Genotyping for Transplant Matching
CareDx (Brisbane, CA, USA) has introduced AlloSeq Nano, a nanopore‑based HLA (human leukocyte antigen) and ABO genotyping solution unveiled at the European Federation for Immunogenetics (EFI) Conference 2026.... Read more
Prognostic Biomarker Identified in Diffuse Large B-Cell Lymphoma
Diffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkin lymphoma and often presents with aggressive clinical behavior. Although many patients respond to standard chemotherapy with... Read moreImmunology
view channel
Immune Aging Clock Quantifies Immunosenescence and Identifies Therapeutic Target
Immune aging undermines host defense and contributes to multiple age-related diseases, yet its heterogeneity complicates measurement and intervention. Clinical laboratories increasingly seek objective... Read more
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreMicrobiology
view channel
Rapid Antigen Biosensor Detects Active Tuberculosis in One Hour
Tuberculosis remains a major global health challenge and continues to drive significant morbidity and mortality. The World Health Organization’s 2024 global report cites it as the leading cause of death... Read more
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read morePathology
view channel
Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment
PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Interpretable AI Reveals Hidden Cellular Features from Microscopy Images
Microscopy images contain rich clues about cell health, but many disease-relevant morphological differences are too subtle to see and difficult to quantify consistently. Artificial intelligence (AI) has... Read moreTechnology
view channel
Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
Risk stratification for breast cancer remains imprecise, as population-based models and breast density can over- or underestimate individual risk, potentially leading to over- or under-screening.... Read more
AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Advanced bowel cancer remains difficult to treat, and many patients receive targeted therapies that do not help them but still cause harm. Clinicians need reliable ways to identify likely responders before... Read moreIndustry
view channel
Collaboration Expands Access to Rapid Metagenomic Diagnostics for Complex Infections
Hospitals are seeing rising rates of complicated and healthcare-associated infections, especially in immunocompromised patients, intensifying the need for rapid, comprehensive pathogen detection.... Read more







