We are your analytical gateway to Finnish health and genomics data
Our services
Our services encompass a wide spectrum, ranging from standard epidemiological analysis to pioneering high-throughput machine-learning methods for predictive and causal inference.
We specialize in statistical genetics analysis, aiding in the application and interpretation of genetic findings, such as genome-wide association studies, the identification of drug targets from GWAS, mendelian randomization, polygenic score analyses, and pharmacogenetics.
At Real World Genetics, we go beyond conventional approaches by seamlessly integrating real-world evidence and genetic data to unveil diseases with shared biological signals.
Trust us to empower your genomics journey with knowledge, precision, and integrity!
Our data resources
We collaborate with leading data providers in Finland, including FinData and the Finnish Biobank Cooperative, to offer access to world-class datasets.
We help you access and analyze genetics data generated as part of the FinnGen project and available via Finnish biobanks. Proteomics, scRNA-seq, and metabolomics data for hundreds to tens of thousands of individuals is similarly available
Our commitment to comprehensive healthcare data extends to electronic health records, mapped to OMOP common data model across key university hospitals. We help you access registry data that covers the entire Finnish population, encompassing diagnoses, operations, medication purchases, prescriptions, and laboratory tests.
Our team
Andrea Ganna, PhD, MSc
CEO and Founder
Andrea is an Associate Professor in health data science at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, and a research associate at Harvard Medical School. With over 15 years of experience in human genetics and health data science, Andrea has played a pivotal role in international scientific consortia, fostering public-private partnerships and publishing in prestigious journals like Nature and Lancet. Andrea has in-depth knowledge of the Finnish data landscape and has extensively leveraged registry and genomics data in his research.