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Genomic risk score provides predictive performance for type 2 diabetes in the UK biobank.

Acta diabetologica - 1 Apr 2021

Chen Xiaolu, Liu Congcong, Si Shucheng, Li Yunxia, Li Wenchao, Yuan Tonghui, Xue Fuzhong

Abstract excerpt

AIMS: Type 2 diabetes (T2D) is affected by a combination of genetic and environmental factors. However, the comprehensive genomic risk scores (GRSs) for T2D prediction have not been evaluated. METHODS: Using a meta-scoring approach, we developed a metaGRS for T2D; T2D-related traits consist of 1,692 genetic variants in the UK Biobank training set (n = 40,423 + 7,558 events) and evaluate this score in the...

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PMID: 33392712
DOI: 10.1007/s00592-020-01650-1

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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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