Company Story

Transforming global genetic data into medical decisions, that are focused on creating broarder awareness for patients of all ethnicities around the world.

  1. Company Story

Centogene Story

Centogene was founded in 2006 on the vision of the Company’s founder Dr. Arndt Rolfs, a Neurologist with vast clinical experience in rare hereditary diseases: transform the science of clinical and genetic data into medical solutions for patients with orphan diseases.

This vision is based on the fact that among the 7,000 identified rare diseases, it is estimated that 80% – or 5,600 – have a genetic origin. Of these hereditary rare diseases, roughly only 4 % have an FDA approved treatment.

As it normally takes an average of around seven years for a patient with a rare disease to be diagnosed, there is a significant unmet global need for high-quality genetic information in the rare disease space for the early identification, effective treatment of patients, and the acceleration of orphan drug development.

Centogene’s data repository, which we believe the world’s largest repository for genetic information on rare hereditary diseases in the world, is the foundation of Centogene’s pursuit of Dr. Rolfs’ vision. The data repository combines worldwide clinical and epidemiological data, and detailed access to phenotype, genotype, proteomics, and metabolomics data to aid in the development of new treatments. 

Centogene is guided on the belief that a detailed, global understanding of the genetic basis and the clinical phenotype of rare hereditary diseases will unlock the ability to target rare diseases, and provide critical knowledge that will guide and facilitate every stage of ophan drug development.

Our Background

CENTOGENE focuses on changing the way patients with rare diseases are diagnosed and treated

Laboratories, sales and administrative offices located in Rostock, Berlin, Boston, Vienna, Dubai and Delhi

Over 350 highly qualified international personnel active in genetics, bioinformatics, IT, proteomics and metabolomics