Genetic Evidence for a Normal-Weight “Metabolically Obese” Phenotype Linking Insulin Resistance, Hypertension, Coronary Artery Disease, and Type 2 Diabetes

Author:

Yaghootkar Hanieh1,Scott Robert A.2,White Charles C.34,Zhang Weihua5,Speliotes Elizabeth6,Munroe Patricia B.7,Ehret Georg B.89,Bis Joshua C.10,Fox Caroline S.31112,Walker Mark13,Borecki Ingrid B.14,Knowles Joshua W.15,Yerges-Armstrong Laura16,Ohlsson Claes17,Perry John R.B.2,Chambers John C.5,Kooner Jaspal S.18,Franceschini Nora19,Langenberg Claudia220,Hivert Marie-France2122,Dastani Zari23,Richards J. Brent2425,Semple Robert K.2627,Frayling Timothy M.1

Affiliation:

1. Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.

2. MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.

3. Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA

4. Department of Biostatistics, Boston University School of Public Health, Boston, MA

5. Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.

6. Department of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI

7. Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, U.K.

8. Cardiology Center, Geneva University Hospital, Geneva, Switzerland

9. Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD

10. Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA

11. Center for Population Studies, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA

12. Division of Endocrinology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA

13. Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, U.K.

14. Department of Genetics, Washington University School of Medicine, St. Louis, MO

15. Department of Medicine and Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA

16. University of Maryland School of Medicine, Division of Endocrinology, Baltimore, MA

17. Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

18. Cardiovascular Science, National Heart and Lung Institute, Imperial College London, London, U.K.

19. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC

20. Department of Epidemiology and Public Health, University College London, London, U.K.

21. Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA

22. General Medicine Division, Massachusetts General Hospital, Boston, MA

23. Departments of Human Genetics and Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada

24. Department of Twin Research and Genetic Epidemiology, King’s College London, London, U.K.

25. Department of Medicine, Human Genetics, Epidemiology, and Biostatistics, McGill University, Montreal, Quebec, Canada

26. The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, U.K.

27. The University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Cambridge, U.K.

Abstract

The mechanisms that predispose to hypertension, coronary artery disease (CAD), and type 2 diabetes (T2D) in individuals of normal weight are poorly understood. In contrast, in monogenic primary lipodystrophy—a reduction in subcutaneous adipose tissue—it is clear that it is adipose dysfunction that causes severe insulin resistance (IR), hypertension, CAD, and T2D. We aimed to test the hypothesis that common alleles associated with IR also influence the wider clinical and biochemical profile of monogenic IR. We selected 19 common genetic variants associated with fasting insulin–based measures of IR. We used hierarchical clustering and results from genome-wide association studies of eight nondisease outcomes of monogenic IR to group these variants. We analyzed genetic risk scores against disease outcomes, including 12,171 T2D cases, 40,365 CAD cases, and 69,828 individuals with blood pressure measurements. Hierarchical clustering identified 11 variants associated with a metabolic profile consistent with a common, subtle form of lipodystrophy. A genetic risk score consisting of these 11 IR risk alleles was associated with higher triglycerides (β = 0.018; P = 4 × 10−29), lower HDL cholesterol (β = −0.020; P = 7 × 10−37), greater hepatic steatosis (β = 0.021; P = 3 × 10−4), higher alanine transaminase (β = 0.002; P = 3 × 10−5), lower sex-hormone-binding globulin (β = −0.010; P = 9 × 10−13), and lower adiponectin (β = −0.015; P = 2 × 10−26). The same risk alleles were associated with lower BMI (per-allele β = −0.008; P = 7 × 10−8) and increased visceral-to-subcutaneous adipose tissue ratio (β = −0.015; P = 6 × 10−7). Individuals carrying ≥17 fasting insulin–raising alleles (5.5% population) were slimmer (0.30 kg/m2) but at increased risk of T2D (odds ratio [OR] 1.46; per-allele P = 5 × 10−13), CAD (OR 1.12; per-allele P = 1 × 10−5), and increased blood pressure (systolic and diastolic blood pressure of 1.21 mmHg [per-allele P = 2 × 10−5] and 0.67 mmHg [per-allele P = 2 × 10−4], respectively) compared with individuals carrying ≤9 risk alleles (5.5% population). Our results provide genetic evidence for a link between the three diseases of the “metabolic syndrome” and point to reduced subcutaneous adiposity as a central mechanism.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference35 articles.

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