Using genetic variants to assess the relationship between circulating lipids and type 2 diabetes

Diabetes

Volumn 64, Issue 7, 2015, Pages 2676-2684

  Fall, Tove ^a   Xie, Weijia ^b   Poon, Wenny ^c   Yaghootkar, Hanieh ^b   Magi, Reedik ^d   Knowles, Joshua W ^e   Lyssenko, Valeriya ^c   Weedon, Michael ^b   Frayling, Timothy M ^b   Ingelsson, Erik ^a  

^a UPPSALA UNIVERSITY   (Sweden)

^b UNIVERSITY OF EXETER   (United Kingdom)

^c LUND UNIVERSITY   (Sweden)

^d UNIVERSITY OF TARTU   (Estonia)

^e STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; INSULIN; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; LIPID;

ARTICLE; BODY MASS; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENE MUTATION; GENETIC ASSOCIATION; GENETIC RISK; HUMAN; INSULIN RELEASE; INSULIN SENSITIVITY; ISCHEMIC HEART DISEASE; LIPID BLOOD LEVEL; MENDELIAN RANDOMIZATION ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; ORAL GLUCOSE TOLERANCE TEST; PLEIOTROPY; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; WAIST HIP RATIO; BLOOD; CLUSTER ANALYSIS; GENETICS;

CHOLESTEROL, HDL; CHOLESTEROL, LDL; CLUSTER ANALYSIS; DIABETES MELLITUS, TYPE 2; HUMANS; LIPIDS; POLYMORPHISM, SINGLE NUCLEOTIDE; TRIGLYCERIDES;

EID: 84946509188     PISSN: 00121797     EISSN: 1939327X     Source Type: Journal    
DOI: 10.2337/db14-1710     Document Type: Article

References (21)

1. Adiels M, Olofsson SO, Taskinen MR, Borén J. Diabetic dyslipidaemia. Curr Opin Lipidol 2006;17:238-246
2. Mooradian AD. Dyslipidemia in type 2 diabetes mellitus. Nat Clin Pract Endocrinol Metab 2009;5:150-159
3. Kruit JK, Brunham LR, Verchere CB, Hayden MR. HDL and LDL cholesterol significantly influence beta-cell function in type 2 diabetes mellitus. Curr Opin Lipidol 2010;21:178-185
4. Pétremand J, Puyal J, Chatton JY, et al. HDLs protect pancreatic b-cells against ER stress by restoring protein folding and trafficking. Diabetes 2012;61: 1100-1111
5. Rickels MR, Goeser ES, Fuller C, et al. Loss-of-function mutations in ABCA1 and enhanced b-cell secretory capacity in young adults. Diabetes 2014;64:193-199
6. Vergeer M, Brunham LR, Koetsveld J, et al. Carriers of loss-of-function mutations in ABCA1 display pancreatic beta-cell dysfunction. Diabetes Care 2010;33:869-874
7. Swerdlow DI, Preiss D, Kuchenbaecker KB, et al.; DIAGRAM Consortium; MAGIC Consortium; InterAct Consortium. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: Evidence from genetic analysis and randomised trials. Lancet 2014;385:351-361
8. Brault M, Ray J, Gomez YH, Mantzoros CS, Daskalopoulou SS. Statin treatment and new-onset diabetes: A review of proposed mechanisms. Metabolism 2014;63:735-745
9. Qi Q, Liang L, Doria A, Hu FB, Qi L. Genetic predisposition to dyslipidemia and type 2 diabetes risk in two prospective cohorts. Diabetes 2012;61:745-752
10. De Silva NM, Freathy RM, Palmer TM, et al. Mendelian randomization studies do not support a role for raised circulating triglyceride levels influencing type 2 diabetes, glucose levels, or insulin resistance. Diabetes 2011;60:1008-1018
11. 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
12. Scott RA, Lagou V, Welch RP, et al.; DIAbetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet 2012;44:991-1005
13. Prokopenko I, Poon W, Mägi R, et al. A central role for GRB10 in regulation of islet function in man. PLoS Genet 2014;10:e1004235
14. Global Lipids Genetics Consortium; Willer CJ, Schmidt EM, Sengupta S, et al. Discovery and refinement of loci associated with lipid levels. Nat Genet 2013;45:1274-1283
15. Do R, Willer CJ, Schmidt EM, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet 2013;45: 1345-1352
16. Speliotes EK, Willer CJ, Berndt SI, et al.; MAGIC; Procardis Consortium. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 2010;42:937-948
17. Heid IM, Jackson AU, Randall JC, et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 2011;42:949-960
18. Belsley DA, Kuh E, Welsch RE. Regression Diagnostics. New York, Wiley, 1980
19. Dastani Z, Johnson T, Kronenberg F, et al.; CARDIoGRAM Consortium; ADIPOGen Consortium. The shared allelic architecture of adiponectin levels and coronary artery disease. Atherosclerosis 2013;229:145-148
20. Yaghootkar H, Scott RA, White CC, et al. Genetic evidence for a normalweight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes 2014;63: 4369-4377
21. Burgess S, Freitag DF, Khan H, Gorman DN, Thompson SG. Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractions. PLoS One 2014;9:e108891