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Michael Roden

Researcher at University of Düsseldorf

Publications -  761
Citations -  56164

Michael Roden is an academic researcher from University of Düsseldorf. The author has contributed to research in topics: Diabetes mellitus & Type 2 diabetes. The author has an hindex of 87, co-authored 642 publications receiving 47188 citations. Previous affiliations of Michael Roden include University of Vienna & Medical University of Vienna.

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EASL-EASD-EASO Clinical Practice Guidelines for the Management of Non-Alcoholic Fatty Liver Disease

TL;DR: The final purpose is to improve patient care and awareness of the importance of NAFLD, and to assist stakeholders in the decision-making process by providing evidence-based data, which also takes into consideration the burden of clinical management for the healthcare system.
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New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis, +339 more
- 01 Feb 2010 - 
TL;DR: It is demonstrated that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
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A genome-wide association search for type 2 diabetes genes in African Americans.

Nichole D. Palmer, +384 more
- 04 Jan 2012 - 
TL;DR: It is suggested that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.
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Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P. Morris, +232 more
- 01 Sep 2012 - 
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
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Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight, +183 more
- 01 Jul 2010 - 
TL;DR: By combining genome-wide association data from 8,130 individuals with type 2 diabetes and 38,987 controls of European descent and following up previously unidentified meta-analysis signals, 12 new T2D association signals are identified with combined P < 5 × 10−8.