ASHG 2026 · Tier 2–3 Academic

Pennsylvania State University at ASHG 2026

State College, Pennsylvania

Pennsylvania State University at ASHG 2026 in Montréal: 15 presentations (11 posters, 3 platform talks, 1 featured symposium); 6 research groups.

15
presentations on the program
6
research groups identified
1
sessions invited to or moderated
3
Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

OrganizationASHG 2026 Attendance
Pennsylvania State University
State College, Pennsylvania
8 PhD Students · 3 PIs · 2 Postdocs · 1 Staff Scientist
Liu Groupdajiangliu.blog
Wet + dry lab~21 people
Develops methods for EHR, biobank-scale sequence and metagenomic data, plus functional-genomics experiments. Applies them to complex-disease genetics, drug-target discovery and host genetics–microbiome interactions.
36 papers since 2024
Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets
Nature Communications, 2024
Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes
Nature Communications, 2024
Genomic insights for personalised care in lung cancer and smoking cessation: motivating at-risk individuals toward evidence-based health practices
EBioMedicine, 2024
Source: OpenAlex author A5044571272
Funded by NIH, NIDA +1 more
NIH, R01 · 2016
The NIH's standard multi-year research project grant.
“May 2016: We got an NIH R01 award to develop meta-analysis methods for sequence-based association studies.”
NIDA, R21 · 2015
“Our R21 to study the genetic basis of nicotine addiction is awarded by NIDA.”
NIDA, GSCAN grant · 2015
“GSCAN grant was scored 20 and 3% and funded by NIDA.”
Source: lab pages
16 platforms and techniques
Analyzes
EHR datasets, Biobank-scale sequence datasets, Metagenomic datasets, Population-scale RNA-seq, Exome chip data, Single-cell and bulk eQTL data, 3D genome and epigenetic data, Microbiome and metabolomics data
Techniques
Rare-variant association analysis, GWAS meta-analysis, eQTL analysis, Polygenic risk scores, Deep learning, Drug repurposing, X chromosome inactivation analysis, Functional genomics
Source: lab pages
Currently hiring
“We are currently looking to recruit Ph.D. students to join our group.”
Source: lab positions page
Poster
Wed Oct 21
2:30 pm
Identifying and Validating Novel Alzheimer’s Disease Loci and Genetic Variants
Molecular Effects of Genetic Variation
Collaborators: College Station Medical Center
Alzheimer’s diseaseComplex traitsGene regulationGenetic variation
Poster
Wed Oct 21
2:30 pm
Genome wide gene by environment interaction analysis reveals 67 genetic loci of blood lipids that interact with diet, income, and socioeconomic status
Statistical Genetics and Genetic Epidemiology
Genome-wide association studyGene environment interactionMethodologyMetabolic disorder
Talk
Thu Oct 22
8:15 am
An atlas of single cell eQTLs across multiple ancestries and different cell type annotations
New Adventures in Molecular Trait Mapping
Collaborators: National University of Singapore
Complex traitsExpression quantitative trait lociGene regulationSingle-cell
Talk
Thu Oct 22
2:00 pm
Genetic architecture of lung cell-type specific gene expression and cell-cell interaction patterns underlying Idiopathic Pulmonary Fibrosis
Integrative Genomics of Immune Regulation Across Infection, Inflammation, and the Lifespan
BioinformaticsComplex diseasesExpression quantitative trait lociGenome-wide association study
Poster
Thu Oct 22
4:15 pm
★ Reviewers’ Choice
Shared and subtype-specific genetic architecture of otitis media reveals mucosal, immune, developmental, and ion transport pathways
Complex Traits and Polygenic Disorders
Collaborators: University of Colorado Anschutz, University of California San Diego
Genome-wide association studySingle-cellTranscriptomeIdentification of disease genes
Poster
Fri Oct 23
2:30 pm
A statistical framework to identify individualized drug responses in drug repurposing studies
Genetic Therapies and Precision Medicine
Autoimmune disorderPolygenic risk scorePrecision medicineStatistical genetics
Epidemiology and Genetics across Populations & Societies Labhhd.psu.edu/bbh/research/research-labs/epidemiology-and-genetics-across-populations-societies-lab
Dry lab~6 people
Studies reproductive and cardiovascular traits using traditional epidemiologic and family-based genetic methods. Focuses on chronic disease and health disparities in U.S. Hispanic/Latino immigrants and families.
7 papers since 2024
Non-genetic component of height as a surrogate marker for childhood socioeconomic position and its association with cardiovascular and brain health: results from HCHS/SOL
medRxiv, 2026
Polycystic Ovary Syndrome, Metabolic Syndrome, and Inflammation in the Hispanic Community Health Study/Study of Latinos
The Journal of Clinical Endocrinology & Metabolism, 2024
All Together Now: Data Work to Advance Privacy, Science, and Health in the Age of Synthetic Data
Preprint or unlisted venue, 2024
Source: OpenAlex author A5104107844
Funded by German Research Foundation, Penn State Social Science Research Institute +5 more
German Research Foundation, Initiation of International Collaboration Programme Grant · 2026-2027
“Initiation of International Collaboration Programme Grant – PI: Cali (Cooperating Partner: Fernandez-Rhodes) German Research Foundation 9/1/26 – 8/31/27”
Penn State Social Science Research Institute, Level 2 Seed Grant · 2025-2026
“Social Science Research Institute Level 2 Seed Grant – PI: Fernandez-Rhodes PSU/SSRI 1/1/25 – 12/31/26”
NIH/NHLBI, R01HL163262 · 2023-2026
The NIH's standard multi-year research project grant.
“R01HL163262 – MPI: Graff, Fernandez-Rhodes NIH/NHLBI 1/16/23 – 12/31/26”
+4 more on the lab page
Source: lab pages
4 platforms and techniques
Techniques
traditional epidemiologic methods, family-based genetic methods, DNA methylation analysis, genome-wide association studies
Source: lab pages
No openings posted
Symposium
Wed Oct 21
8:50 am
The genetic architecture of reproductive milestones within the lifespans of ancestrally-diverse women from the population architecture using genomics and epidemiology study
Genomics of Sex Differences and Reproductive State Across the Life Course: Context, Timing, and Biological Transitions
Poster
Fri Oct 23
2:30 pm
Metabolomics as a Tool for Understanding Neighborhood Effects on Human Health: A Narrative Review
Statistical Genetics and Genetic Epidemiology
Collaborators: University of North Carolina at Chapel Hill
EpidemiologyPublic healthMetabolomics
Poster
Fri Oct 23
2:30 pm
★ Reviewers’ Choice
Large coronary heart disease GWAS for Hispanic/Latino adults reveals ancestry-specific insights into novel and sex-differentiated risk loci
Complex Traits and Polygenic Disorders
Collaborators: University of Alabama at Birmingham, Brigham and Women's Hospital +9 more
Cardiovascular systemGenome-wide association studyPhenome-wide associationMulti-omics
VeturiLabveturilab.org
Dry lab~10 people
Develops machine-learning methods integrating EHR, imaging, genomics and multi-omic data. Uses these models to predict disease risk across ancestry, sex and environment.
9 platforms and techniques
Analyzes
Electronic Health Records, Penn Medicine BioBank
Techniques
Machine-learning workflows, Genome-wide association studies, Multi-omic integration, Bayesian genotype-by-subgroup interaction models, Bayesian generalized additive models, Longitudinal EHR analysis, Whole-genome generalized linear regression
Source: lab pages
Currently hiring
“Contact yzv101@psu.edu to join our team and help us advance the frontiers of human knowledge!”
Source: lab positions page
No funding stated
Poster
Thu Oct 22
4:15 pm
High-Accuracy Early Coronary Heart Disease Prediction Using Longitudinal Electronic Health Record Trajectories
Artificial Intelligence and Machine Learning
Collaborators: Trinity College Dublin
Artificial intelligenceElectronic health recordsPolygenic risk scoreCardiovascular system
Poster
Fri Oct 23
2:30 pm
Beyond GReX: a multi-omic framework integrating proteomics, DNA methylation, and lifestyle exposures for gene expression prediction across diverse populations
Statistical Genetics and Genetic Epidemiology
BioinformaticsExpression quantitative trait lociGene environment interactionMulti-omics
Carrel Labsites.psu.edu/carrel
Studies genetic, epigenetic and genomic regulation of mammalian X-chromosome expression. Specific platforms and partners are not stated.
10 papers since 2024
Complete sequencing of ape genomes
Nature, 2025
The complete sequence and comparative analysis of ape sex chromosomes
Nature, 2024
Source: OpenAlex author A5086070874
No funding stated · No openings posted
Talk
Thu Oct 22
2:15 pm
Predicting cancer type progression in dermatomyositis patients using large language model-derived embeddings and multi-label machine learning classifiers
EHR-Based Computational and AI Approaches in Clinical Genetics
Artificial intelligenceMachine learningElectronic health recordsCancer
Davenport Labdavenport-lab.github.io/pages/people
Wet + dry lab~15 people
Studies host–microbiome interactions using 16S rRNA, metagenomic and long-read sequencing data. Examines microbiome composition, host health, evolution and disease in human cohorts.
28 papers since 2024
Analysis of metagenomic data
Nature Reviews Methods Primers, 2025
STREAMS guidelines: standards for technical reporting in environmental and host-associated microbiome studies
Nature Microbiology, 2025
Chlorpyrifos modulates the mouse gut microbiota and metabolic activity
Environment International, 2024
Source: OpenAlex author A5005215025
Funded by USDA NIFA, NIH +4 more
NIH, T32 EGR Training Grant · 2024-2026
“NIH T32 EGR Training Grant Appointee (2024 - 2026)”
NIH, TL1 Translational Research Training Program · 2024-2025
“NIH TL1 Translational Research Training Program Appointee (2024- 2025)”
USDA NIFA, Postdoctoral Fellow · January 2020 - June 2023
“USDA NIFA Postdoctoral Fellow [January 2020 - June 2023]”
+3 more on the lab page
Source: lab pages
8 platforms and techniques
Analyzes
High-throughput 16S rRNA gene sequencing, Long-read sequencing, Metagenomic data
Techniques
Co-occurrence network modeling, Genome-wide association studies, PrediXcan analyses, Systems biology, Genetically diverse mice
Source: lab pages
Currently hiring
“Undergraduates interested in gaining research experience examining questions related to host-microbe interactions should reach out to Emily to see whether there are opennings in the lab.”
Source: lab positions page
Poster
Wed Oct 21
2:30 pm
Commensal fungi engage specific host gene programs at the human intestinal mucosa
Statistical Genetics and Genetic Epidemiology
Candidate geneGastrointestinal systemGene environment interactionGene regulation
Girirajan Labbx.psu.edu/girirajan_lab/projects.html
Wet + dry lab~5 people
Studies CNVs, genome and transcriptome sequencing, patient data, mouse models and Drosophila functional assays. Targets autism, schizophrenia and intellectual disability.
24 papers since 2024
Genetic modifiers and ascertainment drive variable expressivity of complex disorders
Cell, 2025
Discovery of obesity genes through cross-ancestry analysis
Nature Communications, 2025
Whole genome sequencing analysis identifies sex differences of familial pattern contributing to phenotypic diversity in autism
Genome Medicine, 2024
Source: OpenAlex author A5052791919
Funded by NIH, Penn State Eberly College of Science
NIH · active
“An NIH-funded postdoctoral position to study mouse and cell culture models of neurodevelopmental disorders is available.”
Penn State Eberly College of Science, Eberly Research Fellows program · active
“The Girirajan lab also participates in the Eberly Research Fellows program at Penn State.”
Source: lab pages
11 platforms and techniques
Works with
targeted exome sequencing, whole-genome sequencing (WGS), exome sequencing
Techniques
iPSC-derived neurons, cortical organoids, mouse models, Drosophila melanogaster functional assays, confocal microscopy, machine learning, cell culture models, gene knockdown
Source: lab pages
Currently hiring
“An NIH-funded postdoctoral position to study mouse and cell culture models of neurodevelopmental disorders is available.”
Source: lab positions page
2 more presenters — research group not yet identified

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