Literature DB >> 23762204

Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.

Wolfgang Rathmann1, Christa Scheidt-Nave, Michael Roden, Christian Herder.   

Abstract

BACKGROUND: The epidemiology of type 2 diabetes in Germany is of major societal interest, as is the question of the predictive value of genetic and acquired risk factors.
METHODS: We present clinically relevant aspects of these topics on the basis of a selective review of pertinent literature retrieved by a PubMed search that centered on population-based studies.
RESULTS: The German Health Interview and Examination Survey for Adults (Studie zur Gesundheit Erwachsener in Deutschland [DEGS1], 2008-2011) revealed that diabetes was diagnosed in 7.2% of the population aged 18 to 79 years (women 7.4%, men 7.0%). These figures are two percentage points higher than those found in the preceding national survey (1998). The percentage of cases that were not captured by these surveys is estimated at 2% to 7% depending on the method. Independently of personal factors (the individual's life style), it seems that living in a disadvantaged region characterized by high unemployment, air pollution, and poor infrastructure raises the risk of diabetes. Moreover, type 2 diabetes has a substantial hereditary component. More than 60 genetic regions have been identified to date that affect the risk of type 2 diabetes, yet all of them together account for only 10% to 15% of the genetic background of the disease.
CONCLUSION: The prevalence of type 2 diabetes in Germany has risen in recent years. The discovery of new genetic variants that confer a higher risk of developing the disease has improved our understanding of insulin secretion in diabetes pathogenesis rather than the prediction of individual diabetes risk ("personalized medicine").

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Mesh:

Year:  2013        PMID: 23762204      PMCID: PMC3673039          DOI: 10.3238/arztebl.2013.0331

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   5.594


  49 in total

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2.  Comparison of routine care self-reported and biometrical data on hypertension and diabetes: results of the Utrecht Health Project.

Authors:  Esther A Molenaar; Erik J C Van Ameijden; Diederick E Grobbee; Mattijs E Numans
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3.  Regional differences in the prevalence of known Type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE Consortium).

Authors:  S Schipf; A Werner; T Tamayo; R Holle; M Schunk; W Maier; C Meisinger; B Thorand; K Berger; G Mueller; S Moebus; B Bokhof; A Kluttig; K H Greiser; H Neuhauser; U Ellert; A Icks; W Rathmann; H Völzke
Journal:  Diabet Med       Date:  2012-07       Impact factor: 4.359

4.  High prevalence of undiagnosed diabetes mellitus in Southern Germany: target populations for efficient screening. The KORA survey 2000.

Authors:  W Rathmann; B Haastert; A Icks; H Löwel; C Meisinger; R Holle; G Giani
Journal:  Diabetologia       Date:  2003-02-18       Impact factor: 10.122

5.  Global variation in copy number in the human genome.

Authors:  Richard Redon; Shumpei Ishikawa; Karen R Fitch; Lars Feuk; George H Perry; T Daniel Andrews; Heike Fiegler; Michael H Shapero; Andrew R Carson; Wenwei Chen; Eun Kyung Cho; Stephanie Dallaire; Jennifer L Freeman; Juan R González; Mònica Gratacòs; Jing Huang; Dimitrios Kalaitzopoulos; Daisuke Komura; Jeffrey R MacDonald; Christian R Marshall; Rui Mei; Lyndal Montgomery; Kunihiro Nishimura; Kohji Okamura; Fan Shen; Martin J Somerville; Joelle Tchinda; Armand Valsesia; Cara Woodwark; Fengtang Yang; Junjun Zhang; Tatiana Zerjal; Jane Zhang; Lluis Armengol; Donald F Conrad; Xavier Estivill; Chris Tyler-Smith; Nigel P Carter; Hiroyuki Aburatani; Charles Lee; Keith W Jones; Stephen W Scherer; Matthew E Hurles
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6.  Persistent epigenetic differences associated with prenatal exposure to famine in humans.

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Authors:  A Icks; T Dickhaus; A Hörmann; M Heier; G Giani; B Kuch; C Meisinger
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8.  Incidence of lower-limb amputations in the diabetic compared to the non-diabetic population. findings from nationwide insurance data, Germany, 2005-2007.

Authors:  A Icks; B Haastert; C Trautner; G Giani; G Glaeske; F Hoffmann
Journal:  Exp Clin Endocrinol Diabetes       Date:  2009-07-23       Impact factor: 2.949

9.  Prevalence of undiagnosed Type-2-diabetes mellitus and impaired fasting glucose in German primary care: data from the German Metabolic and Cardiovascular Risk Project (GEMCAS).

Authors:  H Hauner; J Hanisch; P Bramlage; E Steinhagen-Thiessen; H Schunkert; K-H Jöckel; J Wasem; S Moebus
Journal:  Exp Clin Endocrinol Diabetes       Date:  2007-10-09       Impact factor: 2.949

10.  Impaired insulin secretion after prenatal exposure to the Dutch famine.

Authors:  Susanne R de Rooij; Rebecca C Painter; David I W Phillips; Clive Osmond; Robert P J Michels; Ian F Godsland; Patrick M M Bossuyt; Otto P Bleker; Tessa J Roseboom
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

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  20 in total

1.  Identifying genetic factors in common diseases: more helpful in relation to etiology than prediction.

Authors:  Markus M Nöthen; Peter Propping
Journal:  Dtsch Arztebl Int       Date:  2013-05       Impact factor: 5.594

Review 2.  Genetic susceptibility to type 2 diabetes and obesity: from genome-wide association studies to rare variants and beyond.

Authors:  Niels Grarup; Camilla H Sandholt; Torben Hansen; Oluf Pedersen
Journal:  Diabetologia       Date:  2014-05-24       Impact factor: 10.122

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5.  An approach to estimate bidirectional mediation effects with application to body mass index and fasting glucose.

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6.  Changes in the prevalence of diabetes mellitus in bulgaria (2006-2012).

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7.  Area deprivation and the prevalence of type 2 diabetes and obesity: analysis at the municipality level in Germany.

Authors:  Nina Grundmann; Andreas Mielck; Martin Siegel; Werner Maier
Journal:  BMC Public Health       Date:  2014-12-13       Impact factor: 3.295

Review 8.  Use of a German longitudinal prescription database (LRx) in pharmacoepidemiology.

Authors:  Hartmut Richter; Silvia Dombrowski; Hajo Hamer; Peyman Hadji; Karel Kostev
Journal:  Ger Med Sci       Date:  2015-08-25

9.  Prevalence, incidence and concomitant co-morbidities of type 2 diabetes mellitus in South Western Germany--a retrospective cohort and case control study in claims data of a large statutory health insurance.

Authors:  Michael W J Boehme; Gisela Buechele; Julia Frankenhauser-Mannuss; Jana Mueller; Dietlinde Lump; Bernhard O Boehm; Dietrich Rothenbacher
Journal:  BMC Public Health       Date:  2015-09-03       Impact factor: 3.295

10.  Normal liver enzymes are correlated with severity of metabolic syndrome in a large population based cohort.

Authors:  Julia Kälsch; Lars P Bechmann; Dominik Heider; Jan Best; Paul Manka; Hagen Kälsch; Jan-Peter Sowa; Susanne Moebus; Uta Slomiany; Karl-Heinz Jöckel; Raimund Erbel; Guido Gerken; Ali Canbay
Journal:  Sci Rep       Date:  2015-08-13       Impact factor: 4.379

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