Staff Details

Professor Eleftheria Zeggini
Director

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

 

 

Research

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. TUM has awarded the professorship, named after its first female professor, since 2012 to internationally renowned female scientists, also in order to inspire female students to pursue a career in science. Further details about this prestigious position can be found here

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)

Timeline: