Computational Health Center

Institute of Translational Genomics

We generate insights from big biomedical data to improve human health.

At the Institute of Translational Genomics (ITG) we generate insights from big biomedical data to improve human health.

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Scientific Focus

Our research leverages big data in genetics and genomics for medically important human traits. We aim to translate insights from genomics into mechanisms of disease development and progression, shortening the path to translation and empowering precision medicine.

Our overarching aims are to

  • Characterise the genetic architecture of common complex diseases of high public health burden;
  • Generate insights into the biological mechanisms underpinning chronic disease development and progression;
  • Develop robust methods for integrating big data to address key biomedical challenges;
  • Catalyse pathways to translation for disease prognosis, management and treatment.

News

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Featured Publication, Computational Health, ITG,

Genetic Links Between Type 2 Diabetes and Multiple Health Conditions

A recent study led by Prof. Eleftheria Zeggini, Director of the Institute of Translational Genomics at Helmholtz Munich, provides new insights into how genetic risk for type 2 diabetes (T2D) can influence a wide range of health conditions beyond…

HMGU_Icon_Diabetes_1

Featured Publication, Diabetes, IDF, Computational Health, ITG,

Genetic Connection Between Newborn Blood Proteins and Type 1 Diabetes

A new study, led by Prof. Eleftheria Zeggini, Director of the Institute of Translational Genomics at Helmholtz Munich, and Prof. Anette-Gabriele Ziegler, Director of the Institute of Diabetes Research at Helmholtz Munich, has revealed a significant…

Osteoarthritis

New Research Findings, Computational Health, ITG,

Osteoarthritis: Largest Genome-Wide Association Study Uncovers Drug Targets and Therapy Opportunities

Osteoarthritis is the leading cause of disability and chronic pain worldwide, affecting an estimated 595 million people globally. Projections suggest that this number will rise to 1 billion by 2050. Despite its profound impact on individuals and…

Digital DNA Strand Map Displaying Real time Genetic Data Retrieval and Storage Concept

Awards & Grants, Computational Health, ITG,

Helmholtz Munich Launches Imputation Server

Helmholtz Munich launches the Helmholtz Munich Imputation Server, providing an imputation service for researchers based in the European Union (EU) and beyond. Imputation is the statistical inference of unobserved genotypes and plays a pivotal role in…

Eleftheria Zeggini Portrait

Computational Health, ITG,

“By working together, we can further shift the dial for women in science”

Prof. Eleftheria Zeggini about equity, diversity and inclusion in science

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New Research Findings, Diabetes, Computational Health, ITG,

What Our Genetic Information Tells Us About Type 2 Diabetes Risk and Complications

The genetic information in our cells harbors secrets about the risks, progression, and complications of many diseases. With hundreds of millions of patients worldwide, identifying and understanding genetic risk for type 2 diabetes is of particular…

Research Groups

Zeggini Group

We aim to empower precision medicine by translating insights from big biomedical data.

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Kim-Hellmuth Group

Genetic basis of human immune response variation

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Wang Sattler Group

We aim to improve personalized healthcare by integrating OMICs data using statistical, bioinformatical and machine learning approaches.

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Kotlarz Group

The mission of our research group is to explore the molecular causes in children with very early onset inflammatory bowel disease (VEO-IBD), a life-threatening condition

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Principal Investigators at ITG

Scientists at ITG

Eleftheria Zeggini Portrait
Eleftheria Zeggini

Director, Institute of Translational Genomics

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Sarah Kim-Hellmuth
Dr. med. Sarah Kim-Hellmuth

Group Leader

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Porträt Rui Wang-Sattler
Rui Wang-Sattler

Group Leader

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Daniel Kotlarz

Group Leader

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Our Institute in Numbers

54
Employees
22
Nationalities

Recent Publications

Nat. Commun. 16:9042 (2025)

Arruda, A.L. ; Bocher, O. ; Taylor, H.J. ; Cammann, D. ; Yoshiji, S. ; Yin, X. ; Zhao, C. ; Chen, J. ; Wood, A.C. ; Suzuki, K. ; Mercader, J.M. ; Spracklen, C.N. ; Meigs, J.B. ; Vujkovic, M.R. ; Smith, G.D. ; Rotter, J.I. ; Voight, B.F. ; Morris, A.P. ; Zeggini, E.

The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities.
Rheumatology, DOI: 10.1093/rheumatology/keaf327 (2025)

Chen, S. ; Zhang, Y. ; Fan, T. ; Zeng, M. ; Yang, Q. ; Yang, H. ; Fang, X. ; Jin, X. ; Cao, P. ; Wang, Z. ; Hunter, D.J. ; Zhou, Y. ; Ding, C. ; Zhu, Z.

Associations of healthy lifestyle and genetic susceptibility with risks of osteoarthritis: A prospective cohort study.
Nat. Commun. 16:3278 (2025)

Han, S. ; Yu, S. ; Shi, M. ; Harada, M. ; Ge, J. ; Lin, J. ; Prehn, C. ; Petrera, A. ; Li, Y. ; Sam, F. ; Matullo, G. ; Adamski, J. ; Suhre, K. ; Gieger, C. ; Hauck, S.M. ; Herder, C. ; Roden, M. ; Casale, F.P. ; Cai, N. ; Peters, A. ; Wang-Sattler, R.

LEOPARD: Missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer.

Networks and Affiliations

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TUM

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Dr. von Hauner Children's Hospital

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Contact

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ITG Office