Unknown

Dataset Information

Utility of genetic risk scores in type 1 diabetes.


ABSTRACT: Iterative advances in understanding of the genetics of type 1 diabetes have identified >70 genetic regions associated with risk of the disease, including strong associations across the HLA class II region that account for >50% of heritability. The increased availability of genetic data combined with the decreased costs of generating these data, have facilitated the development of polygenic scores that aggregate risk variants from associated loci into a single number: either a genetic risk score (GRS) or a polygenic risk score (PRS). PRSs incorporate the risk of many possibly correlated variants from across the genome, even if they do not reach genome-wide significance, whereas GRSs estimate the cumulative contribution of a smaller subset of genetic variants that reach genome-wide significa

SUBMITTER: Luckett AM 

PROVIDER: S-EPMC10390619 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature