ASHG 2026 · Tier 1 Academic

Seoul National University at ASHG 2026

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

Seoul, South Korea

Seoul National University at ASHG 2026 in Montréal: 7 presentations (7 posters); 2 research groups.

presentations on the program

research groups identified

Reviewers’ Choice abstracts

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Organization	ASHG 2026 Attendance
Seoul National University Seoul, South Korea	5 PhD Students · 1 Faculty
LEE Lableelabsg.org Dry lab~28 people Develops statistical methods for biobank/EHR, UK Biobank and KoGES data, including GWAS and rare-variant tests. Estimates disease risk and drug effects for precision health. 29 papers since 2024 › SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits Nature Communications, 2025 The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population Scientific Reports, 2024 To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice Journal of the American Medical Informatics Association, 2024 Source: OpenAlex author A5049355350 Funded by National Research Foundation of Korea, Ministry of Food and Drug Safty › National Research Foundation of Korea, BP+ program · active “We are grateful to the National Research Foundation of Korea (BP+ program) and Ministry of Food and Drug Safty for supporting our research.” Ministry of Food and Drug Safty · active “We are grateful to the National Research Foundation of Korea (BP+ program) and Ministry of Food and Drug Safty for supporting our research.” Source: lab pages 14 platforms and techniques › Analyzes UK Biobank, Korean Biobank (KoGES), UK Biobank 200K WES, UK Biobank imputed variants, Electronic health records, Medical images, Clinical notes Techniques GWAS, Rare-variant tests, Polygenic risk scoring, Causal inference, Pharmaco-genomics, Biomedical deep learning, Saddlepoint approximation Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm Summary-statistic rare-variant polygenic scoring across biobank-scale studies Statistical Genetics and Genetic Epidemiology Large-scale biobanksLinkage disequilibriumPolygenic risk scoreRare variants Poster Thu Oct 22 4:15 pm Genetic associations of creatine kinase–anchored statin-associated muscle phenotypes in the UK Biobank and All of Us Pharmacogenomics Electronic health recordsGenome-wide association studyLarge-scale biobanksPharmacogenomics Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice K-PREDICT: Multi-omics integration in 5,438 Korean individuals reveals East Asian-specific genetic regulation of circulating proteins and metabolites in diabetes-related cardiometabolic disease Molecular Effects of Genetic Variation Collaborators: Seoul National University Hospital, Seoul National University Bundang Hospital DiabetesGenetic epidemiologyMetabolomicsMulti-omics Poster Fri Oct 23 2:30 pm A Gene-Level Mendelian Randomization Framework Using Rare-Variant Effect Size Estimates Statistical Genetics and Genetic Epidemiology Genome-wide association studyMendelian randomizationRare variantsStatistical genetics Poster Fri Oct 23 2:30 pm Time‑aware knowledge-fused proteomic representation learning improves plasma proteomic prediction of future disease incidence Artificial Intelligence and Machine Learning Collaborators: University of Pennsylvania, King's College London ProteomicsMachine learningBioinformaticsPrecision medicine Poster Fri Oct 23 2:30 pm Multi-level GWAS reveals genetic architecture of common and culturally specific dietary behaviors in Korean adults. Statistical Genetics and Genetic Epidemiology Genome-wide association studyLarge-scale biobanksBehaviorComplex traits
AI Labtrustworthyailab.snu.ac.kr/home Dry lab~25 people Develops interpretable AI tools for genomic data, including polygenic risk scores and SNP contributions. Applies Z-Inspection® to healthcare, education and environmental AI. Funded by National Research Foundation of Korea (NRF), Korea Health Industry Development Institute (KHIDI) › National Research Foundation of Korea (NRF), BrainPool Program · active “Supported by the BrainPool Program through the National Research Foundation of Korea (NRF)” Korea Health Industry Development Institute (KHIDI), Government Grant Program for Education and Research in Medical AI · active “supported by a ‘Government Grant Program for Education and Research in Medical AI’ through the Korea Health Industry Development Institute (KHIDI)” Source: lab pages 6 platforms and techniques › Techniques Polygenic risk scores, Shapley additive explanations (SHAPs), Manhattan plots, Z-Inspection®, Machine learning and deep learning, Fundamental Rights and Algorithms Impact Assessment (FRAIA) Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm Multi-Ancestry Genome-Wide Association Study of 21 Deep-Learning–Derived Echocardiographic Traits in the Penn Medicine Biobank Artificial Intelligence and Machine Learning Collaborators: University of Pennsylvania Artificial intelligenceBioinformaticsGenome-wide association studyCardiovascular system

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