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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Genetic Diagnostic for Type 2 Diabetes

New Research Findings, Computational Health, ITG,

Big Data Make Hidden Genetic Drivers of Type 2 Diabetes Visible

Numerous genetic studies have identified many risk variants for type 2 diabetes (T2D) – but which genes and proteins are actually involved in the disease mechanisms? An international team led by Helmholtz Munich has now used globally collected…

Diabetes test

New Research Findings, Diabetes, Computational Health, ITG,

Mapping Proteins in African Genomes Reveals New Paths to Fight Type 2 Diabetes

Researchers have conducted the most comprehensive analysis to date linking plasma proteins to genetic variation in individuals from continental Africa. Their work addresses a long-standing gap by studying a population grossly underrepresented in…

Portrait Ele Zeggini

Awards & Grants, Computational Health, ITG,

Eleftheria Zeggini Appointed to ERC Scientific Council

The European Commission has appointed Prof. Eleftheria Zeggini, Director of the Institute of Translational Genomics at Helmholtz Munich, to the Scientific Council of the European Research Council (ERC). Alongside five newly selected members, she will…

HMGU_Icon_Computat_Health

Featured Publication, Computational Health, ITG,

Tracking Metabolic Clues Years Before Type 2 Diabetes Develops

Researchers at Helmholtz Munich have found that the body begins signaling the risk of type 2 diabetes many years before the disease is diagnosed. In a long-term study, the team examined hundreds of blood metabolites – small molecules that reflect…

Osteoarthritis in knee

Awards & Grants, Computational Health, ICB, ITG, IML,

Helmholtz Munich Launches Pioneering Osteoarthritis Research Project With EU Partners

Helmholtz Munich is part of the EU research initiative PROBE, which aims to fundamentally transform the way osteoarthritis is diagnosed and treated. The project is funded through HORIZON EUROPE by the Innovative Health Initiative and has a total…

HMGU_Icon_Computat_Health

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…

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 of the Institute of Translational Genomics; Liesel Beckmann Distinguished Professor at Technical University Munich University Hospital; Metabolic and Computational Health (CONNECT) Programme Spokesperson

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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

49
Employees
17
Nationalities

Recent Publications

Pediatr. Res., DOI: 10.1038/s41390-025-04575-z (2026)

Haghipanah, M. ; Rohani, P. ; Rohlfs, M. ; Shahrokh, S. ; Farahmand, F. ; Anvari, M.S. ; Witzel, M. ; Ahmadipour, S. ; Sohouli, M. ; Dehghani, S.M. ; Klein, C. ; Kotlarz, D.M. ; Soltani, B.M. ; Totonchi, M.

Clinical and genomic features of Iranian patients with very early onset IBD.
BMC Med. 24:55 (2026)

Harada, M. ; Adam, J. ; Han, S. ; Shi, M. ; Ge, J. ; Lintelmann, J. ; Cecil, A. ; Zukunft, S. ; Prehn, C. ; Witting, M. ; Scheerer, M.F. ; Neschen, S. ; Irmler, M. ; Beckers, J. ; Adamski, J. ; Teupser, D. ; Linkohr, B. ; Gieger, C. ; Hrabě de Angelis, M. ; Peters, A. ; Wang-Sattler, R.

Urea cycle modulation by combined SGLT2 inhibitors and metformin.
Nat. Genet. 58, 39–46 (2026)

Soremekun, O. ; Park, Y.-C. ; Tutino, M. ; Arruda, A.L. ; Kalungi, A. ; Rayner, N.W. ; Nyirenda, M. ; Fatumo, S. ; Zeggini, E.

Linking the plasma proteome to genetics in individuals from continental Africa provides insights into type 2 diabetes pathogenesis.
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 64, 5673-5680 (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.

Networks and Affiliations

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Technical University Munich

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TUM Universitäts Klinikum Logo

TUM University Clinic

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Dr. von Hauner Children's Hospital

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Contact

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ITG Office