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HLA-DQ and risk gradient for celiac disease
Francesca Megiorni1, Barbara Mora, Margherita Bonamico
1Department of Experimental Medicine, Sapienza University of Rome, Italy.
Human Immunology
|November 26, 2008
Summary
Genetic testing for Human Leukocyte Antigen (HLA) DQ2 and DQ8 significantly predicts celiac disease (CD) risk in children. Individuals with these HLA types have a substantially higher risk of developing celiac disease.
Area of Science:
- Immunogenetics
- Gastroenterology
- Pediatrics
Background:
- Celiac disease (CD) is a multifactorial autoimmune disorder with a strong genetic component.
- Specific Human Leukocyte Antigen (HLA) alleles, particularly DQ2 and DQ8, are critical for CD development.
- Genetic predisposition plays a crucial role in understanding CD pathogenesis.
Purpose of the Study:
- To investigate the clinical relevance of HLA DR-DQ gene typing in Italian children with celiac disease.
- To determine the association between specific HLA alleles and celiac disease predisposition.
- To establish a risk gradient for celiac disease based on HLA genotype.
Main Methods:
- DR-DQ gene typing was performed on 437 Italian children with celiac disease, 834 first-degree relatives, and 551 controls.
- Statistical analysis was used to assess the association between HLA alleles and disease status.
- Prevalence and risk stratification were calculated based on identified HLA genotypes.
Main Results:
- 91% of celiac disease patients carried DQ2 and/or DQ8 heterodimers.
- The presence of the beta half of the DQ2 dimer was strongly associated with CD predisposition (p = 4 x 10(-12)).
- A risk gradient was observed, from 1:7 for DQ2/DQ8 individuals to 1:2518 for those lacking predisposing factors.
Conclusions:
- HLA testing is of significant clinical relevance for predicting celiac disease risk.
- Specific HLA genotypes, including DQB1*02 and DQB1*0302 concurrence and DQB1*02/*02 homozygosity, influence genetic determination of CD.
- Individuals without susceptible HLA factors were not affected, highlighting the test's predictive power.
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