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Article

The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort.

PloS one - 1 Jan 2014

Shigemizu Daichi, Abe Testuo, Morizono Takashi, Johnson Todd A, Boroevich Keith A, Hirakawa Yoichiro, Ninomiya Toshiharu, Kiyohara Yutaka, Kubo Michiaki, Nakamura Yusuke, Maeda Shiro, Tsunoda Tatsuhiko

Abstract excerpt

Recent genome-wide association studies (GWAS) have identified several novel single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2D). Various models using clinical and/or genetic risk factors have been developed for T2D risk prediction. However, analysis considering algorithms for genetic risk factor detection and regression methods for model construction in combination with interactions of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 24651836
DOI: 10.1371/journal.pone.0092549
PMCID: PMC3961382

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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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