Aarhus University at ASHG 2026

Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website

Aarhus University brings 4 presentations from 3 research groups to ASHG 2026 in Montréal. Its program centres on population genetics, computational methods, and clinical and reproductive genetics. Center for Registerforskning brings a simulation study of inverse probability weighting, SMARTbiomed brings genetic-correlation estimates from variant effects, and Neuropsychiatric and Statistical Genomics Lab brings genetically distinct depression trajectories from longitudinal health records.

Organization	ASHG 2026 Attendance
Aarhus University Aarhus, Denmark	2 PhD Students · 1 Postdoc
Center for Registerforskningncrr.au.dk Dry lab~70 people Studies Danish registers, iPSYCH2012 and bio-banked genetic data. Focuses on psychiatric epidemiology and gene-environment interactions in mental disorders. Funded by Danish National Research Foundation, Lundbeck Foundation +7 more › Aarhus University, CIRRAU · active “CIRRAU; a centre for interdisciplinary register-based research funded by Aarhus University” Lundbeck Foundation, CIRRAU scientific programs · active “supported financially by the Lundbeck Foundation, TrygFonden, The Stanley Medical Research Institute, EU, The Simon Foundation and NordForsk.” TrygFonden, CIRRAU scientific programs · active “supported financially by the Lundbeck Foundation, TrygFonden, The Stanley Medical Research Institute, EU, The Simon Foundation and NordForsk.” +6 more on the lab page Source: lab pages 8 platforms and techniques › Analyzes Danish registers, iPSYCH2012 case-cohort sample, Danish Neonatal Screening Bank, Statistics Denmark database Techniques Population-based epidemiology, Gene-environment interaction studies, Population-based genetic studies, Register-based research Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm Part of Statistical Genetics and Genetic Epidemiology Poster Friday Session Weight with caution: a simulation study on inverse probability weighting (IPW) adjustment Exhibit & Poster Hall · Board 8471F Statistical geneticsMethodologyGenetic epidemiologyPopulation genetics
SMARTbiomedsmartbiomed.dk Dry lab~38 people Develops statistical methods for omics, biobank/EHR and clinical imaging data. Applies causal inference, risk prediction and machine learning to cardiometabolic, brain and reproductive traits. Funded by Lundbeck Foundation, Novo Nordisk Foundation +3 more › Lundbeck Foundation, Pioneer Centre for SMARTbiomed · starting June 2024 “from the Lundbeck Foundation” Novo Nordisk Foundation, Pioneer Centre for SMARTbiomed · starting June 2024 “the Novo Nordisk Foundation” Villum Foundation, Pioneer Centre for SMARTbiomed · starting June 2024 “the Villum Foundation” +2 more on the lab page Source: lab pages 14 platforms and techniques › Analyzes perturb-seq data, electronic health records, multiomics data, single-cell CRISPR screens, cell-free DNA fragments, wearable device data, continuous glucose monitoring data, clinical imaging data Techniques causal inference, risk prediction, machine learning, polygenic risk scoring, causal discovery, deep learning Source: lab pages Currently hiring › “At SMARTbiomed, we are regularly looking for postdoctoral fellows or PhD students.” Source: lab positions page	Poster Thu Oct 22 4:15 pm Part of Statistical Genetics and Genetic Epidemiology Poster Thursday Session Estimating genetic correlation using posterior sampling variant effects Exhibit & Poster Hall · Board 8383T Collaborators: Institute for Molecular Bioscience Genotype-phenotype correlationsPolygenic risk scoreStatistical genetics
Neuropsychiatric and Statistical Genomics Labyafenglab.com Works in computational genetics.	Talk Fri Oct 23 1:30 pm Part of New Machine Learning Approaches in Genetics and Genomics Transformer-based modeling of longitudinal health records uncovers genetically distinct trajectories of major depressive disorder Room 517A/Level 5 DepressionStatistical geneticsArtificial intelligenceLarge-scale biobanks
1 more presenter — research group not yet identified

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