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. 2015 Apr;64(4):1470-83.
doi: 10.2337/db14-0703. Epub 2014 Nov 3.

Pathways targeted by antidiabetes drugs are enriched for multiple genes associated with type 2 diabetes risk

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Pathways targeted by antidiabetes drugs are enriched for multiple genes associated with type 2 diabetes risk

Ayellet V Segrè et al. Diabetes. 2015 Apr.

Abstract

Genome-wide association studies (GWAS) have uncovered >65 common variants associated with type 2 diabetes (T2D); however, their relevance for drug development is not yet clear. Of note, the first two T2D-associated loci (PPARG and KCNJ11/ABCC8) encode known targets of antidiabetes medications. We therefore tested whether other genes/pathways targeted by antidiabetes drugs are associated with T2D. We compiled a list of 102 genes in pathways targeted by marketed antidiabetic medications and applied Gene Set Enrichment Analysis (MAGENTA [Meta-Analysis Gene-set Enrichment of variaNT Associations]) to this gene set, using available GWAS meta-analyses for T2D and seven quantitative glycemic traits. We detected a strong enrichment of drug target genes associated with T2D (P = 2 × 10(-5); 14 potential new associations), primarily driven by insulin and thiazolidinedione (TZD) targets, which was replicated in an independent meta-analysis (Metabochip). The glycemic traits yielded no enrichment. The T2D enrichment signal was largely due to multiple genes of modest effects (P = 4 × 10(-4), after removing known loci), highlighting new associations for follow-up (ACSL1, NFKB1, SLC2A2, incretin targets). Furthermore, we found that TZD targets were enriched for LDL cholesterol associations, illustrating the utility of this approach in identifying potential side effects. These results highlight the potential biomedical relevance of genes revealed by GWAS and may provide new avenues for tailored therapy and T2D treatment design.

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Figures

Figure 1
Figure 1
An overview of the study design, analytical steps, and questions addressed. The strategy addressed a number of key questions about the relationship between human genetic associations with T2D or related glycemic traits and antidiabetes drug targets. A similar strategy can be applied to other diseases and traits. 2-h glucose and 2-h insulin, glucose or insulin plasma levels measured 2 h after an oral glucose tolerance test; HbA1c, a measure for long-term glycemia; HOMA-B, a measure for β-cell function; HOMA-IR, a measure for insulin resistance.
Figure 2
Figure 2
Distribution of T2D gene association P values of antidiabetes drug targets. To visualize the enrichment of multiple modest associations with T2D among antidiabetes drug target genes, we plotted the noncumulative distribution of adjusted gene association P values (calculated with MAGENTA) for all the antidiabetes drug targets (99 autosomal genes), as shown in the first track (red line). The following two tracks display from top to bottom the individual gene P values (represented by vertical lines) for the insulin targets subset and the TZD targets subset. Common insulin and TZD targets are shown in blue. The dashed line marks the 75th percentile enrichment cutoff.

References

    1. McCarthy MI. Genomics, type 2 diabetes, and obesity. N Engl J Med 2010;363:2339–2350 - PubMed
    1. Billings LK, Florez JC. The genetics of type 2 diabetes: what have we learned from GWAS? Ann N Y Acad Sci 2010;1212:59–77 - PMC - PubMed
    1. Morris AP, Voight BF, Teslovich TM, et al. .; Wellcome Trust Case Control Consortium; Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Asian Genetic Epidemiology Network–Type 2 Diabetes (AGEN-T2D) Consortium; South Asian Type 2 Diabetes (SAT2D) Consortium; DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium . Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet 2012;44:981–990 - PMC - PubMed
    1. Stahl EA, Wegmann D, Trynka G, et al. .; Diabetes Genetics Replication and Meta-analysis Consortium; Myocardial Infarction Genetics Consortium . Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis. Nat Genet 2012;44:483–489 - PMC - PubMed
    1. Lee SH, Wray NR, Goddard ME, Visscher PM. Estimating missing heritability for disease from genome-wide association studies. Am J Hum Genet 2011;88:294–305 - PMC - PubMed

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