bioRxiv · 10.1101/496802
Genetics of fasting indices of glucose homeostasis using GWIS unravels tight relationships with inflammatory markers
Abstract
PurposeHomeostasis Model Assessment of {beta}-cell function and Insulin Resistance (HOMA-B/-IR) indices are informative about the pathophysiological processes underlying type 2 diabetes (T2D). Data on both fasting glucose and insulin levels are required to calculate HOMA-B/-IR, leading to underpowered Genome-Wide Association studies (GWAS) of these traits.\n\nMethodsWe overcame such power loss issues by implementing Genome-Wide Inferred Statistics (GWIS) approach and subsequent dense genome-wide imputation of HOMA-B/-IR summary statistics with SS-imp to 1000 Genomes project variant density, reaching an analytical sample size of 75,240 European individuals without diabetes. We dissected mechanistic heterogeneity of glycaemic trait/T2D loci effects on HOMA-B/-IR and their relationships with 36 inflammatory and cardiometabolic phenotypes.\n\nResultsWe identified one/three novel HOMA-B (FOXA2)/HOMA-IR (LYPLAL1, PER4, PPP1R3B) loci. We detected novel strong genetic correlations between HOMA-IR/-B and Plasminogen Activator Inhibitor 1 (PAI-1, rg=0.92/0.78, P=2.13x10-4/2.54x10-3). HOMA-IR/-B were also correlated with C-Reactive Protein (rg=0.33/0.28, P=4.67x10-3/3.65x10-3). HOMA-IR was additionally correlated with T2D (rg=0.56, P=2.31x10-9), glycated haemoglobin (rg=0.28, P=0.024) and adiponectin (rg=-0.30, P=0.012).\n\nConclusionUsing innovative GWIS approach for composite phenotypes we report novel evidence for genetic relationships between fasting indices of insulin resistance/beta-cell function and inflammatory markers, providing further support for the role of inflammation in T2D pathogenesis.
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Fedko, I. O., Nivard, M. G., Hottenga, J.-J., Zudina, L., Cross Consortia Pleiotropy (XC-Pleiotropy) Group,, CHARGE Inflammation Working Group,, Balkhiyarova, Z., Chasman, D. I., Ganesh, S., Huang, J., Nalls, M. A., O'Donnel, C. J., Pare, G., Ridker, P. M., Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators,, Mägi, R., Kaakinen, M., Prokopenko, I., Boomsma, D. I.. 2018-12-28. Genetics of fasting indices of glucose homeostasis using GWIS unravels tight relationships with inflammatory markers. https://doi.org/10.1101/496802
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