Alle News

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…

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

DNA Helix Lila Pink

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…