Genome-Wide and Abdominal MRI Data Provide Evidence That a Genetically Determined Favorable Adiposity Phenotype Is Characterized by Lower Ectopic Liver Fat and Lower Risk of Type 2 Diabetes, Heart Disease, and Hypertension

Recent genetic studies have identified alleles associated with opposite effects on adiposity and risk of type 2 diabetes. We aimed to identify more of these variants and test the hypothesis that such favorable adiposity alleles are associated with higher subcutaneous fat and lower ectopic fat. We combined MRI data with genome-wide association studies of body fat percentage (%) and metabolic traits. We report 14 alleles, including 7 newly characterized alleles, associated with higher adiposity but a favorable metabolic profile. Consistent with previous studies, individuals carrying more favorable adiposity alleles had higher body fat % and higher BMI but lower risk of type 2 diabetes, heart disease, and hypertension. These individuals also had higher subcutaneous fat but lower liver fat and a lower visceral-to-subcutaneous adipose tissue ratio. Individual alleles associated with higher body fat % but lower liver fat and lower risk of type 2 diabetes included those in PPARG, GRB14, and IRS1, whereas the allele in ANKRD55 was paradoxically associated with higher visceral fat but lower risk of type 2 diabetes. Most identified favorable adiposity alleles are associated with higher subcutaneous and lower liver fat, a mechanism consistent with the beneficial effects of storing excess triglycerides in metabolically low-risk depots.

[1]  Magnus Borga,et al.  Body Composition Profiling in the UK Biobank Imaging Study , 2018, Obesity.

[2]  Magnus Borga,et al.  Advanced body composition assessment: from body mass index to body composition profiling , 2018, Journal of Investigative Medicine.

[3]  P. Tsai,et al.  Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition , 2018, Nature Genetics.

[4]  K. Hirata,et al.  Family with sequence similarity 13, member A modulates adipocyte insulin signaling and preserves systemic metabolic homeostasis , 2018, Proceedings of the National Academy of Sciences.

[5]  Yutong Zhao,et al.  Induction of deubiquitinating enzyme USP50 during erythropoiesis and its potential role in the regulation of Ku70 stability , 2017, Journal of Investigative Medicine.

[6]  F. Schick,et al.  Causes, Characteristics, and Consequences of Metabolically Unhealthy Normal Weight in Humans. , 2017, Cell metabolism.

[7]  Andrew D. Johnson,et al.  Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney , 2017, Hypertension.

[8]  Stefan Neubauer,et al.  Characterisation of liver fat in the UK Biobank cohort , 2017, PloS one.

[9]  Andrew D. Johnson,et al.  Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation , 2016, Nature Genetics.

[10]  Inês Barroso,et al.  Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance , 2016, Nature Genetics.

[11]  Magnus Borga,et al.  Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies , 2016, PloS one.

[12]  Samuel E. Jones,et al.  Genetic Evidence for a Link Between Favorable Adiposity and Lower Risk of Type 2 Diabetes, Hypertension, and Heart Disease , 2016, Diabetes.

[13]  Ellen M. Schmidt,et al.  New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk , 2016, Nature Communications.

[14]  J. Danesh,et al.  A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2016 .

[15]  Matti Pirinen,et al.  metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis , 2015, bioRxiv.

[16]  Tamara S. Roman,et al.  New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.

[17]  B. Berger,et al.  Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014, Nature Genetics.

[18]  P. Visscher,et al.  Title: Across-cohort Qc Analyses of Genome-wide Association Study Summary Statistics from Complex Traits Wray 1 , the Genetic Investigation of Anthropometric Traits (giant) Consortium , 2015 .

[19]  M. McCarthy,et al.  Common Genetic Variants Highlight the Role of Insulin Resistance and Body Fat Distribution in Type 2 Diabetes, Independent of Obesity , 2014, Diabetes.

[20]  P. Munroe,et al.  Genetic Evidence for a Normal-Weight “Metabolically Obese” Phenotype Linking Insulin Resistance, Hypertension, Coronary Artery Disease, and Type 2 Diabetes , 2014, Diabetes.

[21]  G. Shulman Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease. , 2014, The New England journal of medicine.

[22]  J. Pell,et al.  Ethnic-Specific Obesity Cutoffs for Diabetes Risk: Cross-sectional Study of 490,288 UK Biobank Participants , 2014, Diabetes Care.

[23]  Jimmy D Bell,et al.  Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: rationale and design of the epidemiological studies within the IMI DIRECT Consortium , 2014, Diabetologia.

[24]  Tanya M. Teslovich,et al.  Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility , 2014, Nature Genetics.

[25]  G. Shulman Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease. , 2014, The New England journal of medicine.

[26]  J. Nielsen,et al.  Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics* , 2013, Molecular & Cellular Proteomics.

[27]  F. Hu,et al.  Metabolically healthy obesity: epidemiology, mechanisms, and clinical implications. , 2013, The lancet. Diabetes & endocrinology.

[28]  J. Fitzpatrick,et al.  Whole body fat: content and distribution. , 2013, Progress in nuclear magnetic resonance spectroscopy.

[29]  Archie Campbell,et al.  Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. , 2013, International journal of epidemiology.

[30]  Margreet Kloppenburg,et al.  The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection , 2013, European Journal of Epidemiology.

[31]  S. Akira,et al.  Critical role of Trib1 in differentiation of tissue-resident M2-like macrophages , 2013, Nature.

[32]  T. Hansen,et al.  Type 2 diabetes risk alleles near BCAR1 and in ANK1 associate with decreased β-cell function whereas risk alleles near ANKRD55 and GRB14 associate with decreased insulin sensitivity in the Danish Inter99 cohort. , 2013, The Journal of clinical endocrinology and metabolism.

[33]  T. Pawson,et al.  Adipose vascular endothelial growth factor regulates metabolic homeostasis through angiogenesis. , 2013, Cell metabolism.

[34]  Tanya M. Teslovich,et al.  Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways , 2012, Nature Genetics.

[35]  Andrew D. Johnson,et al.  A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation , 2012, PLoS genetics.

[36]  Claude Bouchard,et al.  A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance , 2012, Nature Genetics.

[37]  S. O’Rahilly,et al.  Metabolic insights from extreme human insulin resistance phenotypes. , 2012, Best practice & research. Clinical endocrinology & metabolism.

[38]  R. Collins What makes UK Biobank special? , 2012, The Lancet.

[39]  Karen L. Mohlke,et al.  Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals , 2012, PLoS genetics.

[40]  Christian Gieger,et al.  Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma , 2011, Nature Genetics.

[41]  Christian Gieger,et al.  Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile , 2011, Nature Genetics.

[42]  Benjamin S. Aribisala,et al.  Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol , 2011, Diabetologia.

[43]  S. O’Rahilly,et al.  Genetic syndromes of severe insulin resistance. , 2011, Endocrine reviews.

[44]  Mark I. McCarthy,et al.  Identification of an imprinted master trans-regulator at the KLF14 locus related to multiple metabolic phenotypes , 2011, Nature Genetics.

[45]  S. O’Rahilly,et al.  Lipodystrophy: metabolic insights from a rare disorder. , 2010, The Journal of endocrinology.

[46]  Fritz Schick,et al.  Follow-up whole-body assessment of adipose tissue compartments during a lifestyle intervention in a large cohort at increased risk for type 2 diabetes. , 2010, Radiology.

[47]  Corby K. Martin,et al.  Pioglitazone, but not metformin, reduces liver fat in Type-2 diabetes mellitus independent of weight changes. , 2010, Journal of diabetes and its complications.

[48]  Tanya M. Teslovich,et al.  Biological, Clinical, and Population Relevance of 95 Loci for Blood Lipids , 2010, Nature.

[49]  N. Sattar,et al.  Non-alcoholic fatty liver disease: an overview of prevalence, diagnosis, pathogenesis and treatment considerations. , 2008, Clinical science.

[50]  Fritz Schick,et al.  Identification and characterization of metabolically benign obesity in humans. , 2008, Archives of internal medicine.

[51]  B. Kemp,et al.  Adipocyte triglyceride lipase expression in human obesity. , 2007, American journal of physiology. Endocrinology and metabolism.

[52]  A. Vidal-Puig,et al.  Adipose tissue expandability in the maintenance of metabolic homeostasis. , 2007, Nutrition reviews.

[53]  M. Holmila,et al.  Gender differences in drinking: why do they still exist? , 2005, Addiction.

[54]  M. Kalia,et al.  Neurobiological basis of depression: an update. , 2005, Metabolism: clinical and experimental.

[55]  Walter C Willett,et al.  Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. , 2005, The American journal of clinical nutrition.

[56]  G. Bray,et al.  Effect of pioglitazone on body composition and energy expenditure: a randomized controlled trial. , 2005, Metabolism: clinical and experimental.

[57]  W. Gulliver,et al.  Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. , 2005, The American journal of clinical nutrition.

[58]  B. Grant,et al.  The 12-Month Prevalence and Trends in DSM–IV Alcohol Abuse and Dependence , 2004, Drug and alcohol dependence.

[59]  J. W. Davis,et al.  Identification of the CREB-binding Protein/p300-interacting Protein CITED2 as a Peroxisome Proliferator-activated Receptor α Coregulator* , 2004, Journal of Biological Chemistry.

[60]  Y. Oka,et al.  MEK Kinase 1 Interacts with Focal Adhesion Kinase and Regulates Insulin Receptor Substrate-1 Expression* , 2003, The Journal of Biological Chemistry.

[61]  A. Rogol,et al.  Hormonal changes during puberty and their relationship to fat distribution , 1999, American journal of human biology : the official journal of the Human Biology Council.

[62]  K. Fox Hypertension and heart disease. , 1996, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[63]  C. Christiansen,et al.  Age- and menopause-associated variations in body composition and fat distribution in healthy women as measured by dual-energy X-ray absorptiometry. , 1995, Metabolism: clinical and experimental.

[64]  B. Lees,et al.  Sex- and menopause-associated changes in body-fat distribution. , 1992, The American journal of clinical nutrition.

[65]  N. Ruderman,et al.  Obesity-associated disorders in normal-weight individuals: some speculations. , 1982, International journal of obesity.

[66]  N. Ruderman,et al.  The "metabolically-obese," normal-weight individual. , 1981, The American journal of clinical nutrition.

[67]  R. Andres Effect of obesity on total mortality. , 1980, International journal of obesity.