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Article

From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes.

PLoS genetics - 1 Oct 2009

Wei Zhi, Wang Kai, Qu Hui-Qi, Zhang Haitao, Bradfield Jonathan, Kim Cecilia, Frackleton Edward, Hou Cuiping, Glessner Joseph T, Chiavacci Rosetta, Stanley Charles, Monos Dimitri, Grant Struan F A, Polychronakos Constantin, Hakonarson Hakon

Abstract excerpt

Genome-wide association studies (GWAS) have been fruitful in identifying disease susceptibility loci for common and complex diseases. A remaining question is whether we can quantify individual disease risk based on genotype data, in order to facilitate personalized prevention and treatment for complex diseases. Previous studies have typically failed to achieve satisfactory performance, primarily due to the use of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 19816555
DOI: 10.1371/journal.pgen.1000678
PMCID: PMC2748686

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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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