Harald Grallert

Head of "Diabetes and Related Traits", Senior Scientist

+49 89 3187-1195 harald.grallert@helmholtz-munich.de

Building / Room: 34, 310

“We aim to understand the complex molecular interplay in the development of cardiometabolic traits and the impact of lifestyle factors on the molecular level. Both from an epidemiological view.”

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Dr. Harald holds a Diploma in Biology. In 2008 he received his doctorate in natural sciences from the Technical University of Munich. He then worked as a postdoc at the Research Unit Molecular Epidemiology, Institute for Epidemiology, Helmholtz Zentrum München. Since 2011 he is heading his own research group "Molecular Epidemiology – Diabetes and related Traits".

Harald’s research focuses on the molecular analysis of diabetes and connected intermediary phenotypes – such as obesity and glycemic alterations. Harald has particular experience in the conduct of high-throughput genotyping and genome-wide methylation projects. The group uses epidemiological methods to study the complex interplay between molecular mechanisms and environmental factors in the context of the onset and progression of diabetes and obesity.

Since 2011

2008

2004

Niu J, Adam J, Skurk T, Seissler J, Dong Q, Efiong E, Gieger C, Peters A, Sharma S, Grallert H.

Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.

Dong Q, Xi Y, Brandmaier S, Fuchs M, Huemer MT, Waldenberger M, Niu J, [...], Gieger C, Thorand B, Peters A, Rospleszcz S, Grallert H.

Subphenotypes of adult-onset diabetes: Data-driven clustering in the population-based KORA cohort

Sharma S, Dong Q, Haid M, Adam J, [...], Adamski J, Pearson ER, Grallert H.

Role of human plasma metabolites in prediabetes and type 2 diabetes from the IMI-DIRECT study.

Ziegler D, Thorand B, Strom A, [...], Gieger C, Heier M, Meisinger C, Roden M, Peters A, Grallert H.

Association of transketolase polymorphisms with diabetic polyneuropathy in the general population: The KORA F4 study.

Sharma S, Subrahmanyam YV, Ranjani H, Sidra S, Parmar D, Vadivel S, Kannan S, Grallert H, [...], Jerzy A, Panchagnula V, Gokulakrishnan K.

Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol

Suzuki K, Hatzikotoulas K, Southam L, [...], Grallert H, Cheng CY, Ghanbari M, [...], Voight BF, Morris AP, Zeggini E.

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Lagou V, Jiang L, Ulrich A, […], Gieger C, Grallert H, Meisinger C, […], Kaakinen MA, Jones B, Prokopenko I; Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC).

GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification

Duschek E, Forer L, Schönherr S, Gieger C, Peters A, Kronenberg F, Grallert H, Lamina C.

A polygenic and family risk score are both independently associated with risk of type 2 diabetes in a population-based study

Dong Q, Sidra S, Gieger C, Wang-Sattler R, Rathmann W, Prehn C, Adamski J, Koenig W, Peters A, Grallert H, Sharma S.

Metabolic Signatures Elucidate the Effect of Body Mass Index on Type 2 Diabetes

Yengo L, Vedantam S, Marouli E, Sidorenko J, [...], Gao Z, Gieger C, Grallert H, Peters A et al.

A saturated map of common genetic variants associated with human height

Zaghlool SB, Sharma S, Molnar M, Matías-García PR, Elhadad MA, Waldenberger M, Peters A, Rathmann W, Graumann J, Gieger C, Grallert H, Suhre K.

Revealing the role of the human blood plasma proteome in obesity using genetic drivers.