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A pathway analysis of genome-wide association study highlights novel type 2 diabetes risk pathways.

Scientific reports - 2 Oct 2017

Liu Yang, Zhao Jing, Jiang Tao, Yu Mei, Jiang Guohua, Hu Yang

Abstract excerpt

Genome-wide association studies (GWAS) have been widely used to identify common type 2 diabetes (T2D) variants. However, the known variants just explain less than 20% of the overall estimated genetic contribution to T2D. Pathway-based methods have been applied into T2D GWAS datasets to investigate the biological mechanisms and reported some novel T2D risk pathways. However, few pathways were shared in these...

Topics

Databases, Genetic
Diabetes Mellitus, Type 2
Genetic Predisposition to Disease
Genome-Wide Association Study
Genotype
Humans
Polymorphism, Single Nucleotide
Risk Factors
Signal Transduction

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Identifiers

PMID: 28970525
DOI: 10.1038/s41598-017-12873-8
PMCID: PMC5624908

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