Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Oct 28;17(12):129.
doi: 10.1007/s11892-017-0961-5.

Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis

Affiliations
Review

Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis

Maria J Redondo et al. Curr Diab Rep. .

Abstract

Purpose of review: About 50% of the heritability of type 1 diabetes (T1D) is attributed to human leukocyte antigen (HLA) alleles and the remainder to several (close to 50) non-HLA loci. A current challenge in the field of the genetics of T1D is to apply the knowledge accumulated in the last 40 years towards differential diagnosis and risk assessment.

Recent findings: T1D genetic risk scores seek to combine the information from HLA and non-HLA alleles to improve the accuracy of diagnosis, prediction, and prognosis. Here, we describe genetic risk scores that have been developed and validated in various settings and populations. Several genetic scores have been proposed that merge disease risk information from multiple genetic factors to optimize the use of genetic information and ultimately improve prediction and diagnosis of T1D.

Keywords: Genetic; HLA; Prediction; Risk; Score; Type 1 diabetes.

PubMed Disclaimer

References

    1. N Engl J Med. 2003 Sep 4;349(10):996-8 - PubMed
    1. Diabetes Care. 2012 Oct;35(10):1975-80 - PubMed
    1. Ann N Y Acad Sci. 2008 Dec;1150:14-24 - PubMed
    1. Diabetes. 2016 Jul;65(7):2094-2099 - PubMed
    1. Ann N Y Acad Sci. 2015 Sep;1353:113-37 - PubMed

MeSH terms