Development and Standardization of an Improved Type 1 Diabetes Genetic Risk Score for Use in Newborn Screening and Incident Diagnosis | Zendy

Seth A. Sharp | Zendy; Stephen S. Rich | Zendy; Andrew R. Wood | Zendy; Samuel E. Jones | Zendy; Robin N. Beaumont | Zendy; James Harrison | Zendy; Darius Schneider | Zendy; Jonathan M. Locke | Zendy; Jessica Tyrrell | Zendy; Michael N. Weedon | Zendy; William Hagopian | Zendy; Richard A. Oram | Zendy

Open Access

Development and Standardization of an Improved Type 1 Diabetes Genetic Risk Score for Use in Newborn Screening and Incident Diagnosis

Author(s) -

Seth A. Sharp,

Stephen S. Rich,

Andrew R. Wood,

Samuel E. Jones,

Robin N. Beaumont,

James Harrison,

Darius Schneider,

Jonathan M. Locke,

Jessica Tyrrell,

Michael N. Weedon,

William Hagopian,

Richard A. Oram

Publication year - 2019

Publication title -

diabetes care

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.636

H-Index - 363

eISSN - 1935-5548

pISSN - 0149-5992

DOI - 10.2337/dc18-1785

Subject(s) - medicine , standardization , diabetes mellitus , type 2 diabetes , type 1 diabetes , risk assessment , pediatrics , endocrinology , computer security , political science , computer science , law

Previously generated genetic risk scores (GRSs) for type 1 diabetes (T1D) have not captured all known information at non-HLA loci or, particularly, at HLA risk loci. We aimed to more completely incorporate HLA alleles, their interactions, and recently discovered non-HLA loci into an improved T1D GRS (termed the "T1D GRS2") to better discriminate diabetes subtypes and to predict T1D in newborn screening studies.

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