Clinical and research uses of genetic risk scores in type 1 diabetes

Type 1 diabetes (T1D) is a chronic disease of high blood glucose caused by autoimmune destruction of pancreatic beta cells eventually ...

Type 1 diabetes has a strong heritable genetic component. Twin concordance for T1D is 23%-70% [2, 3] with risk of 6-7% for siblings, 1-4% for ...

Clinical and research uses of genetic risk scores in type 1 diabetes

This review discusses the clinical and research utility of genetic risk scores in T1D particularly in disease prediction and progression.

Utility of genetic risk scores in type 1 diabetes | Diabetologia

Type 1 diabetes GRSs are also being used in newborn screening studies to identify infants at risk of future presentation of the disease. Most ...

Predicting Diabetes Using Genetic Risk Scores

Previously generated genetic risk scores (GRSs) for type 1 diabetes (T1D) have not captured all known information at non-HLA loci or, ...

Genetic architecture of type 1 diabetes with low genetic risk score ...

Two loci with common variants and 39 loci with rare variants were identified in this study. This study identified common SNPs associated with ...

Utility of Diabetes Type–Specific Genetic Risk Scores for the ...

We defined four racial subgroups based on self-reported race and ethnicity where we had sufficient power to study diabetes classification: ...

Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine

During the last decade, large-scale genetic studies [typically in the form of genome-wide association studies (GWAS)] have identified >400 ...

Type 1 diabetes in diverse ancestries and the use of genetic risk ...

Genetic risk scores (GRS), which facilitate the integration of complex genetic information, have been developed in type 1 diabetes and ...

Type 1 Diabetes Genetic Risk Score

The type 1 diabetes genetic risk score is a new addition to our testing pathway to identify individuals in whom genetic testing for monogenic diabetes is ...

Type 1 diabetes genetic risk score is discriminative of ... - Nature

In conclusion, we show that a 9 SNP T1D GRS can be used to help classify diabetes in Indians. This study suggests the T1D GRS could be an ...

Type 1 diabetes in diverse ancestries and the use of genetic risk ...

Genetic risk scores (GRS), which facilitate the integration of complex genetic information, have been developed in type 1 diabetes and incorporated into models ...

Genetic aspects of type 1 diabetes

Interaction between these 2 haplotypes, which gives rise to the DR4-DQ8/DR3-DQ2 genotype, confers the highest risk for T1DM, with an average ...

Implementation of type 1 diabetes genetic risk screening in children ...

A custom genotyping panel was used to define T1D genetic risk based upon associated SNPs in European- and African-genetic ancestry. Subjects at ...

Associations between diabetes-related genetic risk scores and ...

Use of genetic risk scores (GRS) may help to distinguish between type 1 ... type 1 diabetes: the GUTDM1 study. Article; Open access; Published ...

Systematic Review of Polygenic Risk Scores for Type 1 and ... - MDPI

Recent studies have led to considerable advances in the identification of genetic variants associated with type 1 and type 2 diabetes.

A combined risk score enhances prediction of type 1 diabetes ...

Recent attempts to predict who will develop. T1D and at what age have used islet autoantibodies17,18, metabolic status19,20, genetic factors21–25 and family ...

Prediction of progression to type 1 diabetes with dynamic ...

Genetic risk scores (GRS), generated by profiling an array of single nucleotide polymorphisms, are a widely used type 1 diabetes risk-prediction ...

(PDF) Utility of genetic risk scores in type 1 diabetes - ResearchGate

However, PGS can still be useful for risk stratification in high-risk groups of low-prevalence diseases (e.g.T1D [28, 62] ), or used in ...

Utility of genetic risk scores in type 1 diabetes - OUCI

... Clinical and research uses of genetic risk scores in type 1 diabetes. Curr Opin Genet Dev 50:96–102. https://doi.org/10.1016/j.gde.2018.03.009 https://doi ...