Type 1 Diabetes

Type 1 Diabetes – Genetic Risk Assessment

Type 1 Diabetes (T1D) is an autoimmune disease with a strong genetic component. According to recent studies, specific genetic variants—particularly within the HLA complex—significantly increase the risk of developing the disease, especially in children with a family history of T1D. Early genetic screening can identify newborns and infants at high genetic risk, allowing for timely monitoring and preventive strategies to help preserve pancreatic function.

The GENOSOPHY® genetic test for Type 1 Diabetes is based on an enhanced polygenic risk score that incorporates 67 genetic variants and 18 HLA DR-DQ haplotype interactions. This improved score is 50% more accurate than older polygenic models and nearly twice as effective as simple HLA typing for neonatal screening. Analysis is performed using GENOSOPHY®’s award-winning algorithm, ensuring high accuracy in estimating genetic risk.

Who should consider this test?

Recommended for:
Newborns and infants with a family history of Type 1 Diabetes
Infants with autoantibodies linked to T1D, to assess the risk of disease progression
Families who wish to know their child’s genetic predisposition and adapt their medical follow-up accordingly

Clinical Benefits of GENOSOPHY®’s Genetic Analysis

Diagnosis

  • Improved detection of newborns and infants with elevated genetic risk for Type 1 Diabetes

Prognosis

  • Estimation of the likelihood of developing T1D during childhood
  • Supports early medical monitoring and follow-up

Management

  • Tailored preventive strategies based on the child’s genetic profile
  • Family guidance on risk reduction and early lifestyle modifications

Test Procedure

  1. Collection of a saliva sample from the newborn or infant
  2. Analysis of genetic variants and calculation of risk using GENOSOPHY®’s algorithm
  3. Delivery of results in 5–6 weeks

Complementary Services

Based on test results, GENOSOPHY® offers:
Genetic counseling
Personalized diet plans based on genetic profile
Nutritional consultation

Key Reference

  1. Sharp et al., Diabetes Care, 2019;42(2):200-207.
    DOI: 10.2337/dc18-1785

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