SynthesisScientific reports2017
A pathway analysis of genome-wide association study highlights novel type 2 diabetes risk pathways.
Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Actionability of Genetic Variants in Diabetes: Core Aspects and Applied Examples.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Identification of reversible and druggable pathways to improve beta-cell function and survival in Type 2 diabetes.Islets · 2023Article
- Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach.Turkish journal of biology = Turk biyoloji dergisi · 2022Article
- Review
- Mapping gene and gene pathways associated with coronary artery disease: a CARDIoGRAM exome and multi-ancestry UK biobank analysis.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
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 studies. Here, we performed a pathway analysis using the summary results from a large-scale meta-analysis of T2D GWAS to investigate more genetic signals in T2D. Here, we selected PLNK and VEGAS to perform the gene-based test and WebGestalt to perform the pathway-based test. We identified 8 shared KEGG pathways after correction for multiple tests in both methods. We confirm previous findings, and highlight some new T2D risk pathways. We believe that our results may be helpful to study the genetic mechanisms of T2D.
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