Staff Details

Professor Eleftheria Zeggini

Phone: Phone (PA): +49 89 3187 49728
Building/Room: 3533/211






In 2018 I joined Helmholtz Munich, where I am founding director of the Institute of Translational Genomics. We leverage big data in genomics for medically important human traits, aiming to shorten the path to translation and to empower precision medicine.

I am interested in dissecting the role of sequence variation in human health and disease by coupling high-throughput sequencing technologies with the study of diverse populations and strategies linking electronic health records to genomics. Our activities are underpinned by the integration of big multi-omics data, and by the development of computational and statistical approaches for the next generation of translational genomics studies.

I am committed to developing early career researchers. I promote diversity and inclusion, and have a strong interest in capacity building.

In June 2020 I was awarded a Liesel Beckmann Professorship and appointed to the position of Chair of Translational Genomics at Technical University of Munich (TUM) School of Medicine. 

Selected Publications


Tachmazidou, I ; Hatzikotoulas, K. ; Zeggini, E.
Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data.
Nat. Genet. 51, 230-236 (2019)

Zengini, E ; Hatzikotoulas, K. ; … ; Southam, L. ; Zeggini, E.
Genome-wide analyses using UK wide Biobank data provides insights into the genetic architecture of osteoarthritis.
Nat. Genet. 549-558 (2018)

Gurdasini, E ; … ; Hatzikotoulas, K. ; … ; Zeggini, E.
The African Genome Variation Project shapes medical genetics in Africa.
Nature. 327-32 (2015)

Zeggini, E ; … ; Rayner, NW ; … ; Hattersley, AT.
Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.
Science. 1035-6 (2007)

Zeggini, E ; … ; Rayner, NW ; … ; Morris, AP ; … ; McCarthy, MI.
An evaluation of HapMap sample size and tagging SNP performance in large-scale empirical and simulated data sets.
Nat. Genet. 1320-20 (2005)