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Article

Improved genetic risk scoring algorithm for type 1 diabetes prediction.

Pediatric diabetes - 1 May 2022

Qu Hui-Qi, Qu Jingchun, Glessner Joseph, Liu Yichuan, Mentch Frank, Chang Xiao, March Michael, Li Jin, Roizen Jeffrey D, Connolly John J, Sleiman Patrick, Hakonarson Hakon

Abstract excerpt

BACKGROUND: Precise risk prediction of type 1 diabetes (T1D) facilitates early intervention and identification of risk factors prior to irreversible beta-islet cell destruction, and can significantly improve T1D prevention and clinical care. Sharp et al. developed a genetic risk scoring (GRS) system for T1D (T1D-GRS2) capable of predicting T1D risk in children of European ancestry. The T1D-GRS2 was developed on...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 34997821
DOI: 10.1111/pedi.13310
PMCID: PMC8983464

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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