ASHG 2026 · Tier 1 Academic

Institute for Molecular Medicine Finland at ASHG 2026

Name: ASHG 2026 Annual Meeting
Start: 2026-10-20
End: 2026-10-24
Location: Montréal

Helsinki, Finland

Institute for Molecular Medicine Finland at ASHG 2026 in Montréal: 6 presentations (5 posters, 1 platform talk); 3 research groups.

presentations on the program

research groups identified

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Organization	ASHG 2026 Attendance
Institute for Molecular Medicine Finland Helsinki, Finland	2 PhD Students · 2 Postdocs · 1 PI
Ollila Labollilalab.org Dry lab~13 people Analyzes FinnGen genetic data and electronic health records alongside population genetics, GWAS and bioinformatics. Studies circadian rhythms and brain autoimmunity with Massachusetts General Hospital. 73 papers since 2024 › Genome-wide association study of long COVID Nature Genetics, 2025 Genetic drivers and cellular selection of female mosaic X chromosome loss Nature, 2024 An immunogenetic basis for lung cancer risk Science, 2024 Source: OpenAlex author A5045290512 12 platforms and techniques › Analyzes FinnGen, UK Biobank, Electronic health records, Single-cell RNA sequencing, Transcriptomics, Metabolomics Techniques GWAS, Exome-wide association analyses, Mendelian randomization, PheWAS, CRISPR Cas9-engineered iPSC models, Neuronal cell models Source: lab pages Currently hiring › “We are always looking for talented post-docs and students.” Source: lab positions page No funding stated	Poster Thu Oct 22 4:15 pm Age-dependent APOE associations with UK Biobank sleep questionnaire response suggest late-life neurodegenerative selection Statistical Genetics and Genetic Epidemiology Collaborators: Massachusetts General Hospital, University of Helsinki Genome-wide association studyGenetic epidemiologyNeurodegenerationLarge-scale biobanks Poster Fri Oct 23 2:30 pm Multiomic analysis of circadian and seasonal biomarkers Statistical Genetics and Genetic Epidemiology Collaborators: University of Helsinki, Massachusetts General Hospital +1 more BioinformaticsBrain/nervous systemProteomicsMetabolomics
Translational Genomics Labtranslationalgenomics.eu Dry lab~15 people Analyzes germline genomics, Finnish biobank/registry, clinical and multi-omic data. Develops disease-risk, cancer-screening and medication-response prediction tools. 24 papers since 2024 › Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning The American Journal of Human Genetics, 2024 An immunogenetic basis for lung cancer risk Science, 2024 Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women Journal of Clinical Oncology, 2024 Source: OpenAlex author A5061885811 2 platforms and techniques › Techniques Polygenic risk scores, Mendelian randomization Source: lab pages No funding stated · No openings posted	Talk Thu Oct 22 11:00 am Germline polygenic susceptibility shapes somatic mutational signatures across common cancers Cancer Susceptibility: Germline Effects on Risk, Mechanisms, and Mutations Collaborators: University of Helsinki CancerPolygenic risk scoreSomatic variantsStatistical genetics Poster Thu Oct 22 4:15 pm Genome-wide association study identifies 13 loci for ovarian mature teratoma and implicates meiotic cell cycle regulators Statistical Genetics and Genetic Epidemiology Collaborators: University of Helsinki Genome-wide association studyPopulation geneticsWomen's health
Data Science - Genetic Epidemiology Labdsgelab.org Dry lab~17 people Develops statistical and deep-learning methods on EHR, national registries, genetic, proteomics and single-cell transcriptomic data. Uses them for early disease detection, biomarker discovery and prevention. 64 papers since 2024 › Genetic drivers and cellular selection of female mosaic X chromosome loss Nature, 2024 Family-GWAS reveals effects of environment and mating on genetic associations medRxiv, 2024 Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning The American Journal of Human Genetics, 2024 Source: OpenAlex author A5073500794 13 platforms and techniques › Analyzes Electronic Health Records (EHRs), National health registries, Whole-exome sequencing, Single-cell transcriptomics, Proteomics Techniques Statistical methods, Deep learning, GWAS, Polygenic scores, Self-supervised foundation models, Transformer-based models, Multi-omics, Longitudinal and survival analysis Source: lab pages No funding stated · No openings posted	Poster Fri Oct 23 2:30 pm Large-Scale GWAS of Lab Value Trajectories Reveals Genetic Effects Distinct from Mean Levels Statistical Genetics and Genetic Epidemiology Collaborators: Hue University of Education, University of Tartu +5 more Complex diseasesGenome-wide association studyPolygenic risk score
1 more presenter — research group not yet identified

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