ASHG 2026 · Tier 2–3 Academic

Princeton University at ASHG 2026

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

Princeton, New Jersey

Princeton University at ASHG 2026 in Montréal: 6 presentations (5 posters, 1 platform talk); 4 research groups.

presentations on the program

research groups identified

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
Princeton University Princeton, New Jersey	3 PhD Students · 1 Postdoc
Akey Research Labakeylab.princeton.edu Wet + dry lab~5 people Studies human, yeast and canine genomes using sequence, polymorphism and functional-genomics data. Uses statistical and computational methods to study selection, demography and archaic introgression. 27 papers since 2024 › Recurrent gene flow between Neanderthals and modern humans over the past 200,000 years Science, 2024 The companion dog as a model for inflammaging: a cross-sectional pilot study GeroScience, 2024 Archaic hominin admixture and its consequences for modern humans Current Opinion in Genetics & Development, 2024 Source: OpenAlex author A5103033565 6 platforms and techniques › Techniques Statistical approaches for detecting selection, Computational approaches for detecting selection, Yeast model system, Functional genomics, Copy number variants (CNVs), Comparative genomics of yeast, dogs and humans Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm Fundamental limits in distinguishing continuous migration from admixture pulses Evolutionary and Population Genetics EvolutionEvolutionary geneticsGenetic variationPopulation genetics Talk Thu Oct 22 9:00 am Depletion of Neanderthal ancestry on the X chromosome reflects overlapping effects of sex bias, selection, and drift Charting Human Genetic Variation Across Genomes, Populations, and Time Collaborators: Max Planck Institute for Evolutionary Anthropology Ancient DNAEvolutionary geneticsMathematical modelingNatural selection Poster Fri Oct 23 2:30 pm Long-read sequencing reveals the effect of structural variation on DNA methylation Molecular Effects of Genetic Variation Copy number/structural variationGenetic variationMethylationEpigenetics
Akey and Storey labsstoreylab.org/patterns/members Dry lab~5 people Develops statistical methods for genome-wide genotype, RNA-seq and microarray data. Focuses on population genetics, polygenic risk scores and causal inference. 9 platforms and techniques › Analyzes RNA-seq, Microarray data, Genome-wide genotype data Techniques Genome-wide association studies, Surrogate variable analysis, Polygenic risk scores, Causal inference, False discovery rates and q-values, Latent variable modeling Source: lab pages No funding stated · No openings posted	Poster Thu Oct 22 4:15 pm Rare recombination reveals that the 17q21.31 inversion is an imperfect barrier to gene flow Evolutionary and Population Genetics Copy number/structural variationPopulation geneticsEvolutionary geneticsLong-read sequencing
Lewis-Sigler Institute for Integrative Genomicslsi.princeton.edu Wet + dry lab~135 people Combines high-throughput genome technologies, computational analytics and quantitative modeling, with Illumina NovaSeq, 10X Chromium and single-cell RNA-seq. Supports functional, single-cell and systems-biology genomics. Funded by National Human Genome Research Institute (NHGRI) › National Human Genome Research Institute (NHGRI), Quantitative and Computational Biology graduate training program (T32HG003284) · active “LSI houses the National Human Genome Research Institute (NHGRI) Quantitative and Computational Biology graduate training program (T32HG003284)” Source: lab pages 15 platforms and techniques › Works with Illumina NovaSeq 6000, Illumina MiSeq, 10X Genomics Chromium system, ChIP-seq, ATAC-seq, single-cell ATAC-seq, single-cell RNA-seq, Galaxy Techniques CRISPR-based functional genomics, genetic interaction mapping, CRISPR-Cas9 lineage tracing, machine learning, mass spectrometry-based metabolomics, quantitative proteomics, single-cell and spatial omics Source: lab pages Currently hiring › “The opportunities listed below are a partial listing of open positions at the Lewis-Sigler Institute.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Rare noncoding variation in active enhancers are associated with autism, augmenting gene discovery and boosting understanding of etiology Molecular Effects of Genetic Variation Collaborators: Cornell University, Carnegie Mellon University +1 more AutismRare variantsStatistical geneticsSystems biology
Storey's Statistical Genomics Labstoreylab.org Dry lab~5 people Develops statistical methods for genome-wide genotype, RNA-seq and microarray data. Applies them to population genetics, polygenic risk scores and causal inference. 7 papers since 2024 › Identifying Causal Genotype–Phenotype Relationships for Population‐Sampled Parent–Child Trios Genetic Epidemiology, 2026 Lessons Learned From the Use of Human-Centered Design Approaches to Improve Nutrition in Nigeria Health Promotion Practice, 2025 Source: OpenAlex author A5090871767 12 platforms and techniques › Analyzes RNA-seq, microarray data, high throughput sequencing count data, SNP arrays, tandem mass spectrometry, Affymetrix GeneChip Techniques surrogate variable analysis, causal inference, polygenic risk scores, logistic factor analysis, q-value and local FDR estimation, population structure and kinship modeling Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm A test for the presence of linkage disequilibrium in structured populations Statistical Genetics and Genetic Epidemiology Linkage disequilibriumPopulation geneticsPopulation structureStatistical genetics

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