ASHG 2026 · Tier 2–3 Academic

Université Laval at ASHG 2026

Québec, Quebec

Université Laval at ASHG 2026 in Montréal: 11 presentations (11 posters); 6 research groups.

11
presentations on the program
6
research groups identified

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OrganizationASHG 2026 Attendance
Université Laval
Québec, Quebec
4 PhD Students · 1 PI · 1 Staff Scientist · 1 Postdoc
Computational Biology Laboratorycompbio.ca/team
Dry lab~29 people
Analyzes genomics, transcriptomics, proteomics and metabolomics with RNAseq, WGS, WES, ChIP-Seq and R/Bioconductor. Develops multi-omics signatures and therapeutic-target tools for cancer and pediatric disease collaborations.
85 papers since 2024
BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks
Nature Communications, 2024
Myelin-reactive B cells exacerbate CD4+ T cell-driven CNS autoimmunity in an IL-23-dependent manner
Nature Communications, 2024
AI-Enhanced Prediction of Aortic Stenosis Progression
JACC Advances, 2024
Source: OpenAlex author A5071487081
15 platforms and techniques
Analyzes
RNAseq, miRseq, WGS, WES, ChIP-Seq, mass spectrometry based proteomics, R/Bioconductor
Techniques
machine learning, PLS-DA, interaction networks, modules detection, drug repositioning, drug synergies, ChIP-Seq, deep learning
Source: lab pages
Currently hiring
“CVs are always welcomed”
Source: lab positions page
No funding stated
Poster
Wed Oct 21
2:30 pm
A standardized clinical decision-support module for germline variant interpretation and automated reporting in hereditary cancer testing
Laboratory Genetics and Genomics
Collaborators: CHU de Québec-Université Laval, Université Côte d'Azur
BioinformaticsClinical geneticsCancerVariant interpretation
Poster
Fri Oct 23
2:30 pm
Autonomous agent for traceable prioritization of phenotype-linked candidate compounds using multi-target structural bioinformatics
Artificial Intelligence and Machine Learning
Collaborators: Centre de recherche du CHU de Québec-Université Laval, Université Côte d'Azur
Protein structureComputational toolsArtificial intelligenceBioinformatics
Gros-Louis Labcrchudequebec.ulaval.ca/chercheur/francois-gros-louis
Wet lab~7 people
Analyzes post-mortem brain proteomes and builds patient-derived 3D tissues and iPSC models. Uses personalized models to study neurodegeneration, biomarkers and therapeutic targets.
3 papers since 2024
Utility of 18F-FDG PET/CT in the Surveillance of Patients With Neurofibromatosis Type 1
Neurology Genetics, 2026
An Optimized Protocol for the Generation of iPSC Lines from Lymphoblastoid Cell Lines Using the Non‐integrative Sendai Virus
Current Protocols, 2026
Generation of eight human induced pluripotent stem cells lines from patients with Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS)
Stem Cell Research, 2025
Source: OpenAlex author A5121170642
Funded by Chaire de recherche du Canada
Chaire de recherche du Canada, Chaire de recherche du Canada en génie tissulaire et modélisation 3D des maladies du cerveau · 2023-05-01 au 2030-04-30
“Chaire de recherche du Canada en génie tissulaire et modélisation 3D des maladies du cerveau”
Source: lab pages
5 platforms and techniques
Techniques
Proteomic analysis, 3D tissue engineering, iPSC models, Organoid models, Non-integrative Sendai virus reprogramming
Source: lab pages
No openings posted
Poster
Fri Oct 23
2:30 pm
Proteomic characterization of corpora amylacea in post-mortem brains of MAiD-end-of-life ALS patients
Complex Traits and Polygenic Disorders
ProteomicsNeurodegenerationNervous systemBrain/nervous system
Équipe du Pr Bureaucervo.ulaval.ca/approaches/gntique-fr
Dry lab~5 people
Develops statistical methods for whole-genome, exome and family-genotype data. Targets rare variants and genetic causes of complex psychiatric disorders.
17 papers since 2024
Rare variants and founder effect in the Beauce region of Quebec
Communications Biology, 2025
FounderRare: A Novel Statistical Package to Identify Rare Variants in Complex Diseases
medRxiv, 2025
Childhood trauma and altered response of retinal neurons as an early risk endophenotype of schizophrenia and mood disorder
Biomarkers in Neuropsychiatry, 2024
Source: OpenAlex author A5035373559
6 platforms and techniques
Analyzes
Whole-genome sequencing, Exome sequencing
Techniques
Family-based genetic analysis, Rare-variant analysis, Multidimensional phenotype analysis, Gene-environment interaction analysis
Source: lab pages
No funding stated · No openings posted
Poster
Fri Oct 23
2:30 pm
Accounting for the moderating effect of polygenic risk scores in association studies of rare variants with a trait in in families
Statistical Genetics and Genetic Epidemiology
Collaborators: Université de Lille, Université du Québec
Complex diseasesFamily historyHeritabilityPolygenic risk score
Centre intersectoriel en santé durable (CISD)cisd.uqac.ca
Works in population genetics.
25 papers since 2024
The Effects of Outdoor Teaching on Academic Achievement and Its Associated Factors—A Scoping Review
Education Sciences, 2025
Food Allergy Genetics and Epigenetics: A Review of Genome‐Wide Association Studies
Allergy, 2024
Pathological Mechanisms Involved in Epidermolysis Bullosa Simplex: Current Knowledge and Therapeutic Perspectives
International Journal of Molecular Sciences, 2024
Source: OpenAlex author A5012262499
Poster
Fri Oct 23
2:30 pm
Retrospective modeling of rare variants: impact of including unaffected individuals and functional prioritization in a founder effect family cohort
Statistical Genetics and Genetic Epidemiology
Collaborators: Université du Québec à Chicoutimi
Complex diseasesGenetic epidemiologyPopulation structureRare variants
Centre de recherche du CHU de Québec–Université Laval
Research group.
Poster
Fri Oct 23
2:30 pm
A proteogenomic analysis of the liver identifies new potential biomarkers for type 2 diabetes
Complex Traits and Polygenic Disorders
DiabetesIdentification of disease genesMendelian randomizationProteomics
Chaire de recherche en apprentissage statistique
Works in population genetics.
Poster
Thu Oct 22
4:15 pm
Testing SNP–methylation interaction effects on phenotypes through functional regression
Statistical Genetics and Genetic Epidemiology
Collaborators: Université du Québec à Montréal
MethylationSNP analysis/discoveryStatistical geneticsMethodology
4 more presenters — research group not yet identified

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