Evidence map›Paper›PMID 25048195›Full record

ArticleDiabetes2014

Genetic evidence for a normal-weight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes.

Hanieh Yaghootkar, Robert A Scott, Charles C White, Weihua Zhang, Elizabeth Speliotes, Patricia B Munroe, Georg B Ehret, Joshua C Bis, Caroline S Fox, Mark Walker and 14 more

3 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 126 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 4 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02505321 nacompletednot on this mapstarted 2015, after this paper: background citation

Defining Adipose Tissue Lipid Deposition in Normal Weight Individuals With a Genetic Predisposition to Insulin Resistance

TypeinterventionalSponsorRoyal Devon and Exeter NHS Foundation TrustRan2015 to 2017Enrolled304ConditionsDiabetes MellitusArmsOral Triglyceride Tolerance Test (OTTT), Abdominal fat biopsy (optional)
NCT03239782 nacompletednot on this mapstarted 2016, after this paper: background citation

The "Metabolically-obese Normal-weight" Phenotype in Two Asian Ethnic Groups and Its Reversal by Calorie Restriction

TypeinterventionalSponsorSingapore Institute of Food and Biotechnology InnovationRan2016 to 2017Enrolled77ConditionsGlucose Metabolism Disorders, Obesity, Visceral, Obesity, EndocrineArmsCalorie restriction
NCT04040595 nacompletednot on this mapstarted 2019, after this paper: background citation

The Genetics of Adipose Tissue Function and Its Link to Type 2 Diabetes and Heart Disease

TypeinterventionalSponsorRoyal Devon and Exeter NHS Foundation TrustRan2019 to 2021Enrolled207ConditionsDiabetes MellitusArmsAbdominal fat biopsy
3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 4 syntheses or guidelines pooled it, 224 citations in OpenAlex.

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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 13 institutions in 5 countries.

Hanieh YaghootkarGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Robert A ScottMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.
Charles C WhiteFramingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA Department of Biostatistics, Boston University School of Public Health, Boston, MA.
Weihua ZhangEpidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Elizabeth SpeliotesDepartment of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
Patricia B MunroeClinical 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.
Georg B EhretCardiology Center, Geneva University Hospital, Geneva, Switzerland Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD.
Joshua C BisCardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA.
Caroline S FoxFramingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA Center for Population Studies, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Mark WalkerInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, U.K.
Ingrid B BoreckiDepartment of Genetics, Washington University School of Medicine, St. Louis, MO.
Joshua W KnowlesDepartment of Medicine and Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA.
Laura Yerges-ArmstrongUniversity of Maryland School of Medicine, Division of Endocrinology, Baltimore, MA.
Claes OhlssonCenter for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
John R B PerryMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.
John C ChambersEpidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Jaspal S KoonerCardiovascular Science, National Heart and Lung Institute, Imperial College London, London, U.K.
Nora FranceschiniDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Claudia LangenbergMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K. Department of Epidemiology and Public Health, University College London, London, U.K.
Marie-France HivertDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA General Medicine Division, Massachusetts General Hospital, Boston, MA.
Zari DastaniDepartments of Human Genetics and Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada.
J Brent RichardsDepartment of Twin Research and Genetic Epidemiology, King's College London, London, U.K. Department of Medicine, Human Genetics, Epidemiology, and Biostatistics, McGill University, Montreal, Quebec, Canada.
Robert K SempleThe National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, U.K. The University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Cambridge, U.K.
Timothy M FraylingGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K. t.m.frayling@ex.ac.uk.
Framingham Heart Study · USMcGill University · CACardiovascular Institute of the South · USHarvard Pilgrim Health Care · USJohns Hopkins University · USNewcastle University · GBUniversity College London · GBUniversity of Gothenburg · SEUniversity of Maryland, Baltimore · USUniversity of Michigan–Ann Arbor · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · USWashington University in St. Louis · US

Funding

Medical Research Council G0500070Medical Research Council G0600717Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/2Wellcome Trust 098498Wellcome Trust 100574
6 · The paper itself

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/m(2)) 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.

Indexed as

Intra-Abdominal FatSubcutaneous FatBody Mass IndexCoronary Artery DiseaseDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseHumansHypertensionInsulin ResistanceLipodystrophyMetabolic SyndromeObesityOdds RatioPhenotype

Identifiers

PMID25048195
PMCPMC4392920
OpenAlexW2109167239

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.