Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank

被引:271
作者
Thomas, Nicholas J. [1 ]
Jones, Samuel E. [1 ]
Weedon, Michael N. [1 ]
Shields, Beverley M. [1 ]
Oram, Richard A. [1 ]
Hattersley, Andrew T. [1 ]
机构
[1] Univ Exeter, Inst Biomed & Clin Sci, Med Sch, Exeter, Devon, England
基金
英国惠康基金;
关键词
GENOME-WIDE ASSOCIATION; RISK SCORE; EPIDEMIOLOGY; AUTOIMMUNE; GUIDELINES; CHILDHOOD; DIAGNOSIS; FACES;
D O I
10.1016/S2213-8587(17)30362-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Type 1 diabetes is typically considered a disease of children and young adults. Genetic susceptibility to young-onset type 1 diabetes is well defined and does not predispose to type 2 diabetes. It is not known how frequently genetic susceptibility to type 1 diabetes leads to a diagnosis of diabetes after age 30 years. We aimed to investigate the frequency and phenotype of type 1 diabetes resulting from high genetic susceptibility in the first six decades of life.& para;& para;Methods In this cross-sectional analysis, we used a type 1 diabetes genetic risk score based on 29 common variants to identify individuals of white European descent in UK Biobank in the half of the population with high or low genetic susceptibility to type 1 diabetes. We used Kaplan-Meier analysis to evaluate the number of cases of diabetes in both groups in the first six decades of life. We genetically defined type 1 diabetes as the additional cases of diabetes that occurred in the high genetic susceptibility group compared with the low genetic susceptibility group. All remaining cases were defined as type 2 diabetes. We assessed the clinical characteristics of the groups with genetically defined type 1 or type 2 diabetes.& para;& para;Findings 13 250 (3.5%) of 379511 white European individuals in UK Biobank had developed diabetes in the first six decades of life. 1286 more cases of diabetes were in the half of the population with high genetic susceptibility to type 1 diabetes than in the half of the population with low genetic susceptibility. These genetically defined cases of type 1 diabetes were distributed across all ages of diagnosis; 537 (42%) were in individuals diagnosed when aged 31-60 years, representing 4% (537/12233) of all diabetes cases diagnosed after age 30 years. The Clinical characteristics of the group diagnosed with type 1 diabetes when aged 31-60 years were similar to the clinical characteristics of the group diagnosed with type 1 diabetes when aged 30 years or younger. For individuals diagnosed with diabetes when aged 31-60 years, the clinical characteristics of type 1 diabetes differed from those of type 2 diabetes: they had a lower BMI (27.4 kg/m(2) [95% CI 26.7-28.0] vs 32.4 kg/m(2) [32.2-32.5]; p<0.0001), were more likely to use insulin in the first year after diagnosis (89% [476/537] vs 6% [648/11696]; p<0.0001), and were more likely to have diabetic ketoacidosis (11% [61/537] vs 0.3% [30/11696]; p<0.0001).& para;& para;Interpretation Genetic susceptibility to type 1 diabetes results in non-obesity-related, insulin-dependent diabetes, which presents throughout the first six decades of life. Our results highlight the difficulty of identifying type 1 diabetes after age 30 years because of the increasing background prevalence of type 2 diabetes. Failure to diagnose late-onset type 1 diabetes can have serious consequences because these patients rapidly develop insulin dependency.
引用
收藏
页码:122 / 129
页数:8
相关论文
共 28 条
  • [1] UK Biobank Data: Come and Get It
    Allen, Naomi E.
    Sudlow, Cathie
    Peakman, Tim
    Collins, Rory
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2014, 6 (224)
  • [2] Two Single Nucleotide Polymorphisms Identify the Highest-Risk Diabetes HLA Genotype Potential for Rapid Screening
    Barker, Jennifer M.
    Triolo, Taylor M.
    Aly, Theresa A.
    Baschal, Erin E.
    Babu, Sunanda R.
    Kretowski, Adam
    Rewers, Marian J.
    Eisenbarth, George S.
    [J]. DIABETES, 2008, 57 (11) : 3152 - 3155
  • [3] Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes
    Barrett, Jeffrey C.
    Clayton, David G.
    Concannon, Patrick
    Akolkar, Beena
    Cooper, Jason D.
    Erlich, Henry A.
    Julier, Cecile
    Morahan, Grant
    Nerup, Jorn
    Nierras, Concepcion
    Plagnol, Vincent
    Pociot, Flemming
    Schuilenburg, Helen
    Smyth, Deborah J.
    Stevens, Helen
    Todd, John A.
    Walker, Neil M.
    Rich, Stephen S.
    [J]. NATURE GENETICS, 2009, 41 (06) : 703 - 707
  • [4] Clinical Applications of Diabetes Antibody Testing
    Bingley, Polly J.
    [J]. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2010, 95 (01) : 25 - 33
  • [5] Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
    Burton, Paul R.
    Clayton, David G.
    Cardon, Lon R.
    Craddock, Nick
    Deloukas, Panos
    Duncanson, Audrey
    Kwiatkowski, Dominic P.
    McCarthy, Mark I.
    Ouwehand, Willem H.
    Samani, Nilesh J.
    Todd, John A.
    Donnelly, Peter
    Barrett, Jeffrey C.
    Davison, Dan
    Easton, Doug
    Evans, David
    Leung, Hin-Tak
    Marchini, Jonathan L.
    Morris, Andrew P.
    Spencer, Chris C. A.
    Tobin, Martin D.
    Attwood, Antony P.
    Boorman, James P.
    Cant, Barbara
    Everson, Ursula
    Hussey, Judith M.
    Jolley, Jennifer D.
    Knight, Alexandra S.
    Koch, Kerstin
    Meech, Elizabeth
    Nutland, Sarah
    Prowse, Christopher V.
    Stevens, Helen E.
    Taylor, Niall C.
    Walters, Graham R.
    Walker, Neil M.
    Watkins, Nicholas A.
    Winzer, Thilo
    Jones, Richard W.
    McArdle, Wendy L.
    Ring, Susan M.
    Strachan, David P.
    Pembrey, Marcus
    Breen, Gerome
    St Clair, David
    Caesar, Sian
    Gordon-Smith, Katherine
    Jones, Lisa
    Fraser, Christine
    Green, Elain K.
    [J]. NATURE, 2007, 447 (7145) : 661 - 678
  • [6] Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes
    Clayton, David G.
    [J]. PLOS GENETICS, 2009, 5 (07):
  • [7] Diabetes UK, 2014, T MAY TYP 1 DOESNT C
  • [8] Global epidemiology of type 1 diabetes in young adults and adults: a systematic review
    Diaz-Valencia, Paula A.
    Bougneres, Pierre
    Valleron, Alain-Jacques
    [J]. BMC PUBLIC HEALTH, 2015, 15
  • [9] Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
    Eastwood, Sophie V.
    Mathur, Rohini
    Atkinson, Mark
    Brophy, Sinead
    Sudlow, Cathie
    Flaig, Robin
    de Lusignan, Simon
    Allen, Naomi
    Chaturvedi, Nishi
    [J]. PLOS ONE, 2016, 11 (09):
  • [10] Diagnosis, classification, and treatment of diabetes
    Farmer, Andrew
    Fox, Robin
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2011, 342