The Estonian population-based biobank, with 52,000 participants’ genetic and health data, is the largest epidemiological cohort in the Baltic region. Participants were recruited through a network of medical professionals throughout Estonia (population 1.34 million). Unique legislation as well as a broad consent form give the Estonian Genome Center, a research institute of the University of Tartu, permission to re-contact participants and to retrieve participants’ data from national registries and databases. In addition to two re-contacting projects to update the health data of participants, extensive clinical characterizations have been retrieved from national registries and hospital databases regularly since 2010. Acquiring data from electronic health records and registries has provided a means to update and enhance the database of the Genome Center in a timely manner and at low cost. The resulting database allows a wide spectrum of genomic and epidemiological research to be conducted with the aim of benefitting public health. Future plans include linking the genome center database with the national health information system through X-road and exchanging data in real time, as well as using the genetic data and the technical infrastructure available for piloting personalized medicine in Estonia.
3 October 2022 in European Journal of Human Genetics
The current paradigm of personalized medicine envisages the use of genomic data to provide predictive information on the health course of an individual with the aim of prevention and individualized care. However, substantial efforts are required to realize the concept: enhanced genetic discoveries, translation into intervention strategies, and a systematic implementation in healthcare. Here we review how further genetic discoveries are improving personalized prediction and advance functional insights into the link between genetics and disease. In the second part we give our perspective on the way these advances in genomic research will transform the future of personalized prevention and medicine using Estonia as a primer.
Background: Procedural guidelines for disclosure of incidental genomic information are lacking. Methods: We introduce a method and evaluated the impact of returning results to population biobank participants with 16p11.2 copy number variants, which are commonly associated with neurodevelopmental disorders and BMI imbalance. Of the 7877 participants, 11 carriers were detected. Eight participants were informed of their carrier status and surveyed 11–17 months later. Results: All participants demonstrated preference for disclosure. Although two participants experienced worry, all five survey respondents rated receiving this information favorably. One participant reported modifications in treatment and three felt that their treatment/condition had since improved. Conclusion: This approach can be adapted and applied for the return of incidental findings to biobank participants.
13 February 2026 in European Journal of Human Genetics
Europe’s Beating Cancer Plan is a substantial European Union (EU) investment into cancer prevention and treatment. Integration of genetic services towards personalised cancer prevention and care is a flagship of this plan. Genetic counselling is critical to this integration, facilitating informed patient decision making and improved clinical management. However, growing demands for genetic testing and concurrently increasing workforce shortages necessitate new strategies to equitably ensure sustainable access to counselling across the EU. This project aimed to inform future European activities by identifying priority European strategies for addressing common European genetic literacy, workforce, and reimbursement barriers to genetic counselling in cancer noted in prior work. A Delphi survey was conducted, with genetics, oncology, and patient stakeholders invited from all EU Member States. The response rate was 62% (124 total invitations). Over three phases, 77 participants – 28 geneticists; 14 oncologists; 18 genetic counsellors; 16 patient representatives; 1 otherwise qualified expert – rated 19 strategies according to their Importance, Urgency, and Feasibility and selected their top three priority strategies. Five strategies met pre-defined consensus thresholds and received a clear plurality of priority ratings: (1) EU-wide genetic counsellor recognition; (2) Including genetics expertise in oncology guideline creation; (3) Shared EU genetic counsellor registration/education with legal weight; (4) Mandatory counselling reimbursement when clinical guidelines are met; (5) Mandatory inclusion of genetics in oncology fellowship/continuing education. Results provide a roadmap of European actions which promise to sustainably improve access to genetic counselling in cancer care. Upcoming and ongoing EU projects promise to advance their implementation.
Genotype-first approach allows to systematically identify carriers of pathogenic variants in BRCA1 / 2 genes conferring a high risk of familial breast and ovarian cancer. Participants of the Estonian biobank have expressed support for the disclosure of clinically significant findings. With an Estonian biobank cohort, we applied a genotype-first approach, contacted carriers and offered return of results with genetic counseling. We evaluated participants’ responses to and the clinical utility of the reporting of actionable genetic findings. Twenty-two of 40 contacted carriers of 17 pathogenic BRCA1 / 2 variants responded and chose to receive results. Eight of these 22 participants qualified for high-risk assessment based on National Comprehensive Cancer Network criteria. Twenty of 21 counseled participants appreciated being contacted. Relatives of 10 participants underwent cascade screening. Five of 16 eligible female BRCA1 / 2 variant carriers chose to undergo risk-reducing surgery, and 10 adhered to surveillance recommendations over the 30-month follow-up period. We recommend the return of results to population-based biobank participants; this approach could be viewed as a model for population-wide genetic testing. The genotype-first approach permits the identification of individuals at high risk who would not be identified by application of an approach based on personal and family histories only.