Papers on
GCKR
Meta-analysis of lipid-traits in Hispanics identifies novel loci, population-specific effects, and tissue-specific enrichment of eQTLs.Valladares-Salgado et al., Houston, United States. In Sci Rep, Dec 2015
Genome-wide significant signals were observed in or near CELSR2, ZNF259/APOA5, KANK2/DOCK6 and NCAN/MAU2 for total cholesterol, LPL, ABCA1, ZNF259/APOA5, LIPC and CETP for HDL cholesterol, CELSR2, APOB and NCAN/MAU2 for LDL cholesterol, and GCKR, TRIB1, ZNF259/APOA5 and NCAN/MAU2 for triglycerides.
Modulation of Glucokinase Regulatory Protein: A Double-Edged Sword?Schaper et al., Maastricht, Netherlands. In Trends Mol Med, Oct 2015
The continuous search for drugs targeting type 2 diabetes mellitus (T2DM) has led to the identification of small molecules that disrupt the binding between glucokinase and glucokinase regulatory protein (GKRP).
Molecular targeting of the GK-GKRP pathway in diabetes.Véniant et al., Thousand Oaks, United States. In Expert Opin Ther Targets, 2015
AREAS COVERED: This review summarizes the roles of GK and its key partner glucokinase regulatory protein in glucose metabolism and describes approaches that may alleviate hypoglycemic risk observed with GKAs.
The Association of Type 2 Diabetes Loci Identified in Genome-Wide Association Studies with Metabolic Syndrome and Its Components in a Chinese Population with Type 2 Diabetes.Yang et al., Beijing, China. In Plos One, 2014
The T2D risk alleles of rs972283 near KLF14 and rs11634397 near ZFAND6 were associated with a higher risk for elevated triglycerides (rs972283: 1.11 (1.02, 1.24), P = 1.46 × 10-2; rs11634397: 1.14 (1.00, 1.29), P = 4.66 × 10-2), while the T2D risk alleles of rs780094 in GCKR and rs7903146 in TCF7L2 were related to a lower risk of elevated triglycerides (rs780094: 0.86 (0.80, 0.93), P = 1.35 × 10-4; rs7903146: 0.82 (0.69, 0.98), P = 3.18 × 10-2).
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.Kooner et al., London, United Kingdom. In Nat Genet, 2011
We identified 69 candidate genes, including genes involved in biliary transport (ATP8B1 and ABCB11), glucose, carbohydrate and lipid metabolism (FADS1, FADS2, GCKR, JMJD1C, HNF1A, MLXIPL, PNPLA3, PPP1R3B, SLC2A2 and TRIB1), glycoprotein biosynthesis and cell surface glycobiology (ABO, ASGR1, FUT2, GPLD1 and ST3GAL4), inflammation and immunity (CD276, CDH6, GCKR, HNF1A, HPR, ITGA1, RORA and STAT4) and glutathione metabolism (GSTT1, GSTT2 and GGT), as well as several genes of uncertain or unknown function (including ABHD12, EFHD1, EFNA1, EPHA2, MICAL3 and ZNF827).