Periodic Reporting for period 2 - cGEM (the Center for Genomics, Evolution and Medicine)
Okres sprawozdawczy: 2019-12-01 do 2021-08-31
By the end of period I the ERA-Chair holder (Anders Eriksson) has been recruited and has started building his research team. We have successfully filled 2 out of 3 senior researcher positions and are in the middle of negotiations for filling the 3rd position. The calls for PhD students and postdocs are being launched. The team is currently compiling the research plan of the project.
Period II:
By the end of period II we have successfully filled all three senior researcher positions, positions for postdocs and PhD students are also filled.
Evolutionary and Population Genomics group is led by associate professor Michael Dannemann. Group has established new international collaborations with labs of dr Fernando Racimo from University of Copenhagen and dr Vivian Slom from University of Tel Aviv. Also, group is closely working with members of the host institute and collaboration with cGEM's Bioinformatic and Medical Genomics group has intensified. Group has joined a formal collaboration between UTARTU and the FinnGen consortium. The current team designed additional projects that aim at understanding how adaptation and Neandertal admixture influenced disease-associated variation in people today.
Bioinformatics and Medical Genomics group is led by associate professors Tõnis Org, Irene Gallego Romero and Georgi Hudjašov. Activities by the group: 1.In-depth ancestry analysis of Estonian Biobank (EBB) data using computational approach; 2. History of natural selection in EBB samples; 3. Functional validation of genomic variants at scale via massively parallel reporter assays (MPRA); 4. Generation of iPSC lines for future functional studies
Molecular Medicine group is led by associate professor Kaia Palm. In fall 2020 the team was formed (Kaia was the last senior researcher, who was recruited) and ethical permits were obtained and experimental studies started. Team's studies were aimed at confirming the suitability of mimotope-variation analysis (MVA) as the technology enabling a highly precise, personalized and global view on the state of the immune system associated with different clinical conditions. For that, data of > 500 individual MVA immunoprofiles were generated and analyzed regarding developing solutions for less-invasive testing on three clinical models (gonadotropins and autoimmunity, mother-neonate-infant physiological and pathologic immunity, antibody-associations with HLA haplotypes).
- increased research excellence at the cGEM
- increased attractiveness of the cGEM for internationally excellent and mobile researchers
- more active and successful participation in international competitive research funding programmes
- more active partnerships with private sector stakeholders
- innovative Ph.D. education programmes
- regular internal and external research assessments for scientific and socio-economic relevance
- increased attractiveness of (academic) research career, in particular, elimination of the obstacles hindering practicing dual MD/Ph.D. path