ASHG 2026 · Tier 1 Academic

University of Pennsylvania at ASHG 2026

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

Philadelphia, Pennsylvania

University of Pennsylvania at ASHG 2026 in Montréal: 44 presentations (37 posters, 4 platform talks, 2 lightning talks); 33 research groups.

presentations on the program

research groups identified

sessions invited to or moderated

Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
University of Pennsylvania Philadelphia, Pennsylvania	20 PhD Students · 9 PIs · 6 Postdocs · 4 Staff Scientists
Pasaniuc Labmed.upenn.edu/bogdan-group Dry lab~10 people Analyzes biobank, electronic health record, RNA-seq and single-cell RNA-seq data with integrative genomics methods. Uses polygenic scoring and transcriptome-wide association studies for precision health. 114 papers since 2024 › Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms Science, 2024 Temporally distinct 3D multi-omic dynamics in the developing human brain Nature, 2024 Evaluating Performance and Agreement of Coronary Heart Disease Polygenic Risk Scores JAMA, 2024 Source: OpenAlex author A5057630970 Funded by NIH/NLM › NIH/NLM, Biomedical Data Science Training Program for Precision Health Equity (T15-LM013976) · 2022-2027 “NIH-funded training programs such as the NIH/NLM-T15 training program Biomedical Data Science Training Program for Precision Health Equity at UCLA.” Source: lab pages 10 platforms and techniques › Analyzes RNA-seq, single-cell RNA-seq, low-coverage sequencing, H3K27ac HiChIP Techniques polygenic scoring, transcriptome-wide association studies, probabilistic fine-mapping, local ancestry inference, cell-type deconvolution, SNP-heritability estimation Source: lab pages Currently hiring › “We are recruiting kind and motivated quantitatively oriented trainees at all levels (undergraduate, graduate and postdoctoral); contact Bogdan for details.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Multi-biobank characterization of strong APOL1 biallelic and monoallelic effects on end stage kidney disease Complex Traits and Polygenic Disorders Genetic epidemiologyGenotype-phenotype correlationsLarge-scale biobanksPhenome-wide association Poster Wed Oct 21 2:30 pm Contextual drivers of PGS portability for breast cancer (BC) and coronary heart disease (CHD) across seven large-scale biobanks and cohorts Complex Traits and Polygenic Disorders Collaborators: Massachusetts General Hospital, Vanderbilt University Medical Center +8 more Complex diseasesDifferentiationLarge-scale biobanksPolygenic risk score Poster Wed Oct 21 2:30 pm Integration of polygenic risk with single cell methylation data using met-scDRS Epigenomics MethylationMethodologySingle-cellPsychiatric genetics Poster Fri Oct 23 2:30 pm Phenome-wide genetic analysis of pediatric disorders in the Arcus biobank Statistical Genetics and Genetic Epidemiology Genome-wide association studyPhenome-wide associationLarge-scale biobanksElectronic health records
Wang Labwglab.org Wet + dry lab Develops AI and bioinformatics methods for EHR, whole-genome/exome, PacBio, Oxford Nanopore and single-cell long-read RNA-seq data. Targets rare-disease diagnosis, genome reinterpretation and precision genomic medicine. 14 platforms and techniques › Works with Oxford Nanopore sequencing, 10X Genomics, Parse Bioscience, PacBio long-read sequencing, Whole-genome sequencing, Whole-exome sequencing, RNA-Seq, Single-cell long-read RNA-Seq Techniques Machine learning and AI, Transformer models, Natural language processing, Long-range haplotype phasing, DNA modification detection, Differential isoform usage analysis Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS): 2026 Update Genetic, Genomic, and Epigenomic Resources and Databases Collaborators: Lehigh University, Institute on Aging Alzheimer’s diseaseDatabasesGenome-wide association studyGenomics Poster Thu Oct 22 4:15 pm A machine learning model to classify a gene’s mode of inheritance using phenotype and age of onset information Artificial Intelligence and Machine Learning Collaborators: Children's Hospital of Philadelphia BioinformaticsDiagnosticsGenotype-phenotype correlationsInheritance patterns Poster Thu Oct 22 4:15 pm NIAGADS Open Access: Natural-Language Access to AD Genomic Evidence Artificial Intelligence and Machine Learning Alzheimer’s diseaseArtificial intelligenceGenetic variationDatabases Poster Thu Oct 22 4:15 pm LongAllele: a joint inference framework for allele-specific analysis on long-read bulk and single-cell RNA sequencing Statistical Genetics and Genetic Epidemiology Collaborators: Children's Hospital of Philadelphia Long-read sequencingHaplotypeAlternative splicingStatistical genetics
Setia-Verma Labsetia-vermalab.org Dry lab~11 people Uses machine learning on EHR data, genetic markers, environmental factors and clinical indicators. Builds prediction models for women’s health, including endometriosis and glaucoma. 10 papers since 2024 › TRACE: A FINE-TUNED BIOMEDICAL LANGUAGE MODEL FOR DIRECTIONALLY INFORMED DRUG REPURPOSING FROM TRANSCRIPTOME-WIDE ASSOCIATION STUDIES medRxiv, 2026 Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk Prediction † medRxiv, 2025 Social Determinants of Health and Lifestyle Risk Factors Modulate Genetic Susceptibility for Women’s Health Outcomes Preprint or unlisted venue, 2024 Source: OpenAlex author A5023838189 Funded by National Institute of Child Health and Human Development (NICHD) › National Institute of Child Health and Human Development (NICHD), Comprehensive Predictive Modeling for Endometriosis Using Genetic and Non-Genetic Risk Factors · active ““Funded by the National Institute of Child Health and Human Development (NICHD), this project aims to develop an advanced predictive model for endometriosis.”” Source: lab pages 7 platforms and techniques › Analyzes Electronic Health Records (EHR), High-resolution cardiac imaging Techniques Machine learning, Genome-wide association studies (GWAS), Polygenic risk scores, Deep phenotyping, Integrative omics Source: lab pages Currently hiring › ““We are actively seeking post-doctoral fellows passionate about conducting research in EHR genomics and women's health.”” Source: lab positions page	Poster Wed Oct 21 2:30 pm Multimodal models integrating rare variants and unstructured EHR features identify endometriosis with AUROC ~0.80 in a chart-reviewed biobank cohort Artificial Intelligence and Machine Learning GenomicsPolygenic risk scoreWomen's healthRisk assessment Poster Thu Oct 22 4:15 pm Integrating Clinically Actionable Endophenotypes into Polygenic Risk Scores Enhances Prediction and Early detection of Primary Open-Angle Glaucoma in African Ancestry Individuals Statistical Genetics and Genetic Epidemiology BioinformaticsComputational toolsGenome-wide association studyLarge-scale biobanks Poster Thu Oct 22 4:15 pm Is “PMS-ing” Genetic? Assessing Genetic Risk of Premenstrual Conditions in Women who Ovulate Prenatal, Perinatal, Reproductive, and Developmental Genetics Reproductive geneticsWomen's healthGenomicsLarge-scale biobanks
Guo Labguo-laboratory.com/lab-members Wet + dry lab~6 people Studies Alzheimer’s genetics using genetic fine-mapping, single-cell DNA sequencing, bulk long-read DNA sequencing and genome engineering in cellular models. Develops computational diagnostics for neurogenetic conditions. 11 papers since 2024 › Polygenic burden of short tandem repeat expansions promotes risk for Alzheimer’s disease Nature Communications, 2025 Disparities in Genetic Testing for Neurologic Disorders Neurology, 2024 Ischemic stroke associated with amyloid‐related imaging abnormalities in a patient treated with lecanemab Alzheimer s & Dementia, 2024 Source: OpenAlex author A5065978633 8 platforms and techniques › Runs single-cell DNA sequencing, bulk long-read DNA sequencing Techniques genetic fine-mapping, genome engineering, short tandem repeat analysis, single-cell eQTL mapping, computational neurogenetic diagnostics, cellular models of disease Source: lab pages Currently hiring › “We are recruiting team members at all levels.” Source: lab positions page No funding stated	Poster Thu Oct 22 4:15 pm Conditional Single-Cell eQTLs Reveal Hidden Regulatory Mechanisms Underlying Brain Disease GWAS Signals Molecular Effects of Genetic Variation Alzheimer’s diseaseExpression quantitative trait lociSingle-cellGenome-wide association study Poster Fri Oct 23 2:30 pm Cell type–specific loss of the Y chromosome in the aging brain Complex Traits and Polygenic Disorders Alzheimer’s diseaseChromosomal abnormalitiesMosaicism
Laboratory for Statistical and Translational Genomicstransgen.med.upenn.edu/… Dry lab~14 people Uses statistical and computational methods on scRNA-seq, CITE-seq and spatial transcriptomics data. Studies cellular heterogeneity, cell state transition and disease susceptibility genes for clinical translation. 43 papers since 2024 › Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology Nature Biotechnology, 2024 Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues Cell, 2024 High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis Arteriosclerosis Thrombosis and Vascular Biology, 2024 Source: OpenAlex author A5001685590 9 platforms and techniques › Analyzes scRNA-seq, CITE-seq, spatial transcriptomics, bulk RNA-seq Techniques deep learning, cell type deconvolution, graph convolutional networks, batch-effect correction, histology-image integration Source: lab pages Currently hiring › “We are always interested in recruiting talented graduate students and postdoctoral fellows to join our group.” Source: lab positions page No funding stated	Poster Wed Oct 21 2:30 pm Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP Artificial Intelligence and Machine Learning Spatial transcriptomicsSingle-cellRNA-seqGenomics Poster Fri Oct 23 2:30 pm Cross-Modality Alignment of Spatial Transcriptomics, Multiplexed Imaging, and Histology with PHARAOH Omics Technologies Collaborators: Technical University of Munich, German Centre for Cardiovascular Research +1 more Multi-omicsComputational toolsSpatial transcriptomicsMethodology
Verma Labgithub.com/Verma-Lab Dry lab Analyzes biobank/EHR, CT/MRI, echocardiography, cardiac MRI, ECG, GWAS and exome-wide data. Uses Penn Medicine BioBank and other biobanks for genetic-risk prediction and clinical AI. 59 papers since 2024 › Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants Science, 2025 Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program Science, 2024 A deep catalogue of protein-coding variation in 983,578 individuals Nature, 2024 Source: OpenAlex author A5012994745 16 platforms and techniques › Analyzes Whole-exome sequencing (WES), Whole-genome sequencing (WGS), Clinical CT, Clinical MRI, Echocardiography, Cardiac MRI, ECG, Electronic health records (EHR) Techniques Multi-ancestry GWAS, PheWAS, Exome-wide association studies, Rare-variant burden testing, Statistical fine-mapping, Polygenic risk scores, Deep learning, LLM agents Source: lab pages No funding stated · No openings posted	Poster Thu Oct 22 4:15 pm Leveraging AI-Derived CT Phenotypes to Identify Sex-Specific Genetic Loci for Hepatic Fat in the Penn Medicine BioBank Artificial Intelligence and Machine Learning Genome-wide association studyLarge-scale biobanksArtificial intelligenceExpression quantitative trait loci Poster Thu Oct 22 4:15 pm Global Pleiotropy Networks Enhance Phenome-wide Polygenic Risk Prediction with Greater Gains in African Ancestry Individuals Complex Traits and Polygenic Disorders Collaborators: Broad Institute Genotype-phenotype correlationsGenomicsPhenome-wide associationPolygenic risk score
Penn Telegenetics Programchti.upenn.edu/penn-telegenetics-program ~4 people Provides genetic testing and counseling by telephone or video conferencing. Serves patients nationwide, community settings without genetic services, and large clinical trials. 52 papers since 2024 › Clinical management of TP53 mosaic variants found on germline genetic testing Cancer Genetics, 2024 The ENGAGE study: a 3-arm randomized hybrid type 1 effectiveness and implementation study of an in-home, collaborative PCP model of remote telegenetic services to increase uptake of cancer genetic services in childhood cancer survivors BMC Health Services Research, 2024 Test-takers’ perspectives on consumer genetic testing for hereditary cancer risk Frontiers in Genetics, 2024 Source: OpenAlex author A5041518416 Funded by Innovation Accelerator Program, National Institutes of Health +3 more › Innovation Accelerator Program · active “Innovation Accelerator Program” National Institutes of Health · active “National Institutes of Health” National Cancer Institue · active “National Cancer Institue” +2 more on the lab page Source: lab pages 5 platforms and techniques › Runs Telephone, Video conferencing Techniques Remote genetic counseling, Multi-gene germline testing, Randomized telehealth trials Source: lab pages No openings posted	Talk Wed Oct 21 1:30 pm Final results of a randomized non-inferiority trial evaluating digital return of actionable genetic research results as compared to return by a genetic counselor (RESPECT3) Advances in Clinical Genomics in the Era of AI, Long-Read Sequencing, Precision Medicine, and Genomic Care Delivery Collaborators: Temple University, Columbia University Ethical, legal, and social implicationsGenetic counselingGenetic testingLarge-scale biobanks Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Final results of a randomized non-inferiority trial evaluating digital return of actionable genetic research results as compared to return by a genetic counselor (RESPECT3) Genetic Counseling, ELSI, and Education Collaborators: Temple University, Columbia University Ethical, legal, and social implicationsGenetic counselingGenetic testingLarge-scale biobanks
Shen Labmed.upenn.edu/shenlab Dry lab~34 people Develops informatics, computing and data science methods for genetics, omics, imaging, biomarker, outcome and EHR data. Applies advanced AI to biobank and health datasets. 156 papers since 2024 › Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity JAMA, 2025 The genetic architecture of multimodal human brain age Nature Communications, 2024 Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering Nature Communications, 2024 Source: OpenAlex author A5100333320 Funded by NIA, MassAITC +14 more › NIA, U01 AG068057 · active “This U01 renewal project (U01 AG068057)” MassAITC, pilot; NIA P30 AG073107 · active “Supported by a MassAITC pilot (NIA P30 AG073107)” NLM, R01 LM014731 · active The NIH's standard multi-year research project grant. “This project, supported by an NLM R01 award (R01 LM014731)” +13 more on the lab page Source: lab pages 16 platforms and techniques › Analyzes MRI, PET, CT, Next-generation sequencing (NGS), EHRs, Smartphone images/videos, Wearable sensor streams, Heart-failure monitoring socks Techniques Machine learning, Deep learning, Natural language processing, Large language models, Knowledge graphs, Genome-wide association studies, Structured sparse canonical correlation analysis, SPHARM shape modeling Source: lab pages Currently hiring › “We are looking for highly motivated students and scholars to work with our group” Source: lab positions page	Talk Wed Oct 21 1:55 pm Sex-stratified analysis uncovers sex-dimorphic genetic modifiers of cardiac structure and function Decoding Genetic Risk Across Ancestry and Sex in Polygenic Disorders Cardiovascular systemGenome-wide association studyLarge-scale biobanksComplex traits Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Sex-stratified analysis uncovers sex-dimorphic genetic modifiers of cardiac structure and function Complex Traits and Polygenic Disorders Cardiovascular systemComplex traitsGenetic epidemiologyGenome-wide association study
Tishkoff Labmed.upenn.edu/tishkoff Wet + dry lab~18 people Studies African populations with genomic, proteomic, epigenetic, transcriptomic, metabolomic, microbiome and single-cell RNA and ATAC data. Research targets adaptation, disease risk and immune variation. 14 papers since 2024 › Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk Nature Genetics, 2025 A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies Nature Computational Science, 2025 Deciphering the impact of genomic variation on function Nature, 2024 Source: OpenAlex author A5080098465 Funded by Chan Zuckerberg Institute › Chan Zuckerberg Institute, Human Cell Atlas Consortium · active Philanthropic science funding from the Chan Zuckerberg Initiative. “As part of the Chan Zuckerberg Institute funded Human Cell Atlas Consortium, we are generating an African Immune Cell Atlas.” Source: lab pages 5 platforms and techniques › Runs single-cell RNA sequencing, single-cell ATAC sequencing, massively parallel reporter assays Techniques chromatin capture-based techniques, CRISPR/Cas9 editing Source: lab pages No openings posted	Talk Wed Oct 21 11:30 am Heterogeneous selection signatures across West & Central African populations are associated with cardiometabolic, immune, and renal disease burden in African-ancestry populations Detecting Human Adaptation: Methods, Drivers, and Health Impacts of Natural Selection Collaborators: Vanderbilt University Medical Center, Sapienza University of Rome +6 more Identification of disease genesLarge-scale biobanksNatural selectionPhenome-wide association Attendee in“Looking forward to an exciting ASHG meeting in beautiful Montreal!”
Basser Center for BRCAbasser.org Wet lab~61 people Studies BRCA1/2 gene mutations in basic, clinical and translational cancer research. Focuses on cancer interception, early detection and care for mutation carriers. Funded by Gray Foundation, Basser Center for BRCA +1 more › Basser Center for BRCA, Internal Research Grant Program · 2026 “Funding begins on July 1, 2026.” Basser Center for BRCA, External Research Grant Program · 2026 “The 2026 Basser Center external grant program is temporarily delayed until later in 2026.” Gray Foundation, Gray Foundation Grants · active “Basser Center founding donors, Mindy and Jon Gray, have established the Gray Foundation.” Source: lab pages 7 platforms and techniques › Techniques genetic testing, basic laboratory research, multi-modal AI tool, hyperpolarized C-13 imaging, shallow whole genome sequencing, deep learning model, induced pluripotent stem cells (iPSC) Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Characteristics of germline genetic testing and cancer diagnoses among a single-institution cohort of male BRCA1/2 carriers Cancer Collaborators: Abramson Cancer Center BehaviorCancerCharacterization of syndromesClinical testing
Center for Applied Genomicsresearch.chop.edu/center-for-applied-genomics Wet + dry lab~56 people Runs 10X Chromium, Illumina and PacBio sequencing, genotyping, and biorepository services. Studies pediatric rare and complex disorders to develop diagnostics and therapies. 155 papers since 2024 › Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations Nature Medicine, 2024 Dependency-aware deep generative models for multitasking analysis of spatial omics data Nature Methods, 2024 Exome sequencing of 20,979 individuals with epilepsy reveals shared and distinct ultra-rare genetic risk across disorder subtypes Nature Neuroscience, 2024 Source: OpenAlex author A5088244425 Funded by National Institutes of Health, Children’s Hospital of Philadelphia › National Institutes of Health · active “The Center for Applied Genomics (CAG) at Children's Hospital of Philadelphia is one of 10 sites that receives funds from the National Institutes of Health” Children’s Hospital of Philadelphia · active “He leads a $40 million commitment from Children’s Hospital of Philadelphia to genomically characterize approximately 100,000 children” Source: lab pages 15 platforms and techniques › Runs Illumina NovaSeq, Illumina MiSeq, 10X Chromium systems, PacBio, Oxford Nanopore long-range sequencing, Bionano, WES, WGS Techniques single-cell sequencing, genotyping, Sanger sequencing, TaqMan, RNA-seq, ChIP-seq, long-read sequencing Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Integrative Multi-Omics and Deep Learning Analysis Identifies NETO1 as a Cross-Ancestry Risk Gene in Neurodevelopmental Disorders Complex Traits and Polygenic Disorders Collaborators: Children's Hospital of Philadelphia, Tianjin Medical University Deep learningGenome-wide association studyNeurodevelopmentalPharmacogenomics
Chesi Labchesilab.notion.site/Welcome-to-the-Chesi-Lab-at-UPenn-70dc9b8416e947f9922bcdffe61eec4a Wet + dry lab~9 people Uses Capture C, Hi-C, ATAC-seq, ChIP-seq and RNA-seq with CRISPR/Cas9 in iPSC-derived neurons and cerebral organoids. Maps variants to genes in neurodegenerative disorders. 41 papers since 2024 › White Matter Abnormalities and Cognition in Aging and Alzheimer Disease JAMA Neurology, 2025 Polygenic prediction of body mass index and obesity through the life course and across ancestries Nature Medicine, 2025 Variant-to-function analysis of the childhood obesity chr12q13 locus implicates rs7132908 as a causal variant within the 3′ UTR of FAIM2 Cell Genomics, 2024 Source: OpenAlex author A5015929929 14 platforms and techniques › Runs Capture C, Hi-C, ATAC-seq, ChIP-seq, RNA-seq, single-cell RNA sequencing Techniques CRISPR/Cas9 editing, pooled CRISPRa/i screens, iPSC-derived neurons, microglia, astrocytes, co-cultures, cerebral organoids, drug screens Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm Integrated chromatin, transcriptomic, and 3D genome profiling of ReNcell VM differentiation prioritizes effector genes for dopaminergic neuropsychiatric and behavioral traits Complex Traits and Polygenic Disorders Complex traitsGene regulationGenome-wide association studyGenomics
Drivas Labdrivaslab.org Wet + dry lab~11 people Analyzes EHR-linked genotyping arrays and exome sequencing from medical biobanks, then validates findings in cell models. Focuses on primary-cilium disorders and human disease mechanisms. 35 papers since 2024 › Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants Science, 2025 A deep catalogue of protein-coding variation in 983,578 individuals Nature, 2024 Evaluating Performance and Agreement of Coronary Heart Disease Polygenic Risk Scores JAMA, 2024 Source: OpenAlex author A5073553407 9 platforms and techniques › Analyzes Genotyping arrays, Exome sequencing Techniques PheWAS, Engineered reporter cell lines, Signaling assays, Immunoblotting/ELISAs, Live-cell imaging, RNA-seq, Stem cell models Source: lab pages Currently hiring › “The Drivas lab has openings immediately available for both computational and wet lab trained postdoctoral fellows.” Source: lab positions page No funding stated	Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Finding signal in the noise: machine learning-driven disease gene discovery using latent phenotypic fingerprints across the biobank phenome – application to the primary cilium Artificial Intelligence and Machine Learning Large-scale biobanksCiliopathiesMachine learningBioinformatics
Genomics and Computational Biologymed.upenn.edu/gcb/student-directory Wet + dry lab~217 people Trains students in computational and experimental genomics using long-read RNA sequencing, spatial transcriptomics and electronic health records. Studies human disease, evolution and biomedical research. Funded by National Science Foundation, National Institutes of Health › National Science Foundation · active “applicants are encouraged to apply for scholarships from prestigious funding sources such as the National Science Foundation and the National Institutes of Health.” National Institutes of Health · active “applicants are encouraged to apply for scholarships from prestigious funding sources such as the National Science Foundation and the National Institutes of Health.” Source: lab pages 12 platforms and techniques › Analyzes long-read RNA sequencing, spatial transcriptomics, single-cell methylome, spatial multi-omics, electronic health records Techniques machine learning, genome-wide association studies, computational pathology, biomedical knowledge graphs, polygenic scores, multi-modal lineage tracing, deep learning Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice A genome-first approach to rare protein-altering variants in Lynch syndrome genes in the Penn Medicine Biobank Statistical Genetics and Genetic Epidemiology Statistical geneticsRare variantsPhenome-wide associationGenetic counseling
Graduate Group in Epidemiology and Biostatisticsmed.upenn.edu/ggeb Dry lab~169 people Develops statistical methods for biomedical data, including imaging and genetic studies. Trains investigators in clinical trials, cohort studies and statistical computing. Funded by Individual Research Fellowships (Students), Individual Research Fellowships (Students) › Individual Research Fellowships (Students), 1-F31-AG-091981-01A1; Genetic and Environmental Sources of Heterogeneity in Alzheimer's Disease: A Pathway Specific Approach · active “[name] - 1-F31-AG-091981-01A1: Genetic and Environmental Sources of Heterogeneity in Alzheimer's Disease: A Pathway Specific Approach” Individual Research Fellowships (Students), 5-F31-LM-014282-03; Addressing Algorithmic Unreliability and Dataset Shift in EHR-based Risk Prediction Models · active “Likhitha Kolla - 5-F31-LM-014282-03: Addressing Algorithmic Unreliability and Dataset Shift in EHR-based Risk Prediction Models” Source: lab pages 8 platforms and techniques › Techniques randomized clinical trials, cohort studies, case-control studies, surveys, quasi-experiments, statistical computing, applied data analysis, statistical genetics and bioinformatics Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Integrative variant-to-gene annotation in multi-ancestry Alzheimer's disease pathway-specific polygenic risk scores Statistical Genetics and Genetic Epidemiology Polygenic risk scoreGene regulationAlzheimer’s diseasePopulation structure
Huang Labmed.upenn.edu/achuanglab Wet + dry lab~20 people Studies cancer immunotherapy using flow cytometry, transcriptional approaches and spatial transcriptomics. Examines checkpoint blockade responses in melanoma, Merkel cell carcinoma and renal cell carcinoma. 64 papers since 2024 › Combined JAK inhibition and PD-1 immunotherapy for non–small cell lung cancer patients Science, 2024 Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8+ T cells Cancer Cell, 2024 LAG-3 sustains TOX expression and regulates the CD94/NKG2-Qa-1b axis to govern exhausted CD8 T cell NK receptor expression and cytotoxicity Cell, 2024 Source: OpenAlex author A5081974951 6 platforms and techniques › Works with flow cytometry, spatial transcriptomics Techniques checkpoint blockade, neoadjuvant clinical trials, anti-PD-1 immunotherapy pharmacodynamics, advanced computational analysis Source: lab pages No funding stated · No openings posted	Poster Fri Oct 23 2:30 pm Spatial Transcriptomics and Immunophenotyping of Mismatch Repair-Deficient Colonic Crypts Reveals T Cell-Mediated Immunosurveillance and Preneoplastic Transcriptional Alterations in Lynch Syndrome Cancer Cancer syndromesTranslational studies and preclinical trialsGastrointestinal systemSpatial transcriptomics
Informatics Divisiondbei.med.upenn.edu/divisions/informatics Dry lab~49 people Develops AI, machine-learning, NLP and data-integration methods for EHRs, imaging, omics and wearable-sensor data. Applies them to precision medicine, population health and clinical care. 156 papers since 2024 › Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity JAMA, 2025 The genetic architecture of multimodal human brain age Nature Communications, 2024 Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering Nature Communications, 2024 Source: OpenAlex author A5100333320 13 platforms and techniques › Analyzes electronic health records (EHRs), health claims, imaging data, single-cell genomics, metagenomics, wearable sensors, patient-generated platforms Techniques artificial intelligence and machine learning, natural language processing, causal inference, genome-wide association studies, polygenic risk scores, clinical decision support systems Source: lab pages Currently hiring › “Explore available faculty and staff positions in the Division of Informatics and the department.” Source: lab positions page No funding stated	Poster Thu Oct 22 4:15 pm Graph Modeling of Pediatric Pharmacogenomic and EHR Data Reveals Structured Multi-Gene Co-Actionability Patterns Pharmacogenomics Collaborators: Children's Hospital of Philadelphia, Medical University of South Carolina BioinformaticsClinical geneticsElectronic health recordsMachine learning
Institute for Biomedical Informatics (IBI)events.med.upenn.edu/ibi Dry lab Develops AI, machine-learning and NLP infrastructure for EHR, TriNetX, Epic Cosmos and Epic Clarity data. Serves Penn Medicine clinical, translational and basic research. 59 papers since 2024 › Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants Science, 2025 Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program Science, 2024 A deep catalogue of protein-coding variation in 983,578 individuals Nature, 2024 Source: OpenAlex author A5012994745 Funded by NIH › NIH · active “helped the funding of multiple NIH grants” Source: lab pages 10 platforms and techniques › Analyzes Electronic health record (EHR), TriNetX, Epic Cosmos, Epic Clarity Techniques Artificial intelligence, Natural language processing (NLP), Ontologies, Machine learning, Visual analytics, Data integration Source: lab pages No openings posted	Talk Thu Oct 22 1:45 pm A multimodal agentic knowledge graph system for screening undiagnosed transthyretin amyloid cardiomyopathy EHR-Based Computational and AI Approaches in Clinical Genetics Artificial intelligenceBioinformaticsCardiovascular systemDiagnostics
Integrative Omics & Biomedical Informatics Laboratorybiomedinfolab.com Dry lab~21 people Integrates multi-omics, imaging and EHR phenotype data with machine learning and deep learning. Uses these methods for precision medicine and translational informatics. 62 papers since 2024 › Addressing biomedical data challenges and opportunities to inform a large-scale data lifecycle for enhanced data sharing, interoperability, analysis, and collaboration across stakeholders Scientific Reports, 2025 Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine Annual Review of Biomedical Data Science, 2024 Effect of virtual reality-based biofeedback for depressive and anxiety symptoms: Randomized controlled study Journal of Affective Disorders, 2024 Source: OpenAlex author A5078473635 Funded by NIH/NHLBI, NIH/NIA +3 more › NIH/NHLBI, R01 · active The NIH's standard multi-year research project grant. “[name] has received an R01 grant as MPI from the NIH/NHLBI” NIH/NIA, R01 · active The NIH's standard multi-year research project grant. “[name] has received an R01 grant as MPI from the NIH/NIA” NIH/NIGMS, R01 · active The NIH's standard multi-year research project grant. “[name] has received an R01 grant as a contact PI from the NIH/NIGMS” +2 more on the lab page Source: lab pages 15 platforms and techniques › Analyzes Single-cell cytometry datasets, 3D unenhanced abdominal CT scans, H&E image datasets, Histology whole-slide images, Retinal photographs, Serum lipidomics, Hail VariantDataset Techniques Multi-omics data integration, Polygenic risk scores, Graph-based machine learning, Knowledge graph embedding, Self-supervised learning, Phenome-wide association studies, Mendelian randomization, Digital pathology Source: lab pages Currently hiring › “Rotating students from GCB or GGEB are welcome to join the Kim lab” Source: lab positions page	Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Biobank-scale genomic analysis of quantitative CT image-derived phenotypes links complex disease risk variants to organ traits Statistical Genetics and Genetic Epidemiology Genome-wide association studyGenotype-phenotype correlationsMachine learningQuantitative trait
Katsevich Labkatsevich-lab.github.io Dry lab~6 people Develops statistical methodologies for single-cell CRISPR screens and single-cell multi-omics data. Uses them to study enhancer–gene regulation and human disease. 11 papers since 2024 › Robust differential expression testing for single-cell CRISPR screens at low multiplicity of infection Genome biology, 2024 Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling Nature Biotechnology, 2024 GWAS-Informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density bioRxiv (Cold Spring Harbor Laboratory), 2024 Source: OpenAlex author A5020452709 Funded by National Science Foundation, Analytics at Wharton › National Science Foundation · active “We are grateful for funding from the National Science Foundation” Analytics at Wharton · active “We are grateful for funding from the National Science Foundation and Analytics at Wharton” Source: lab pages 9 platforms and techniques › Analyzes single cell CRISPR screens, single cell multi-omics data, Perturb-seq, single-cell RNA sequencing, single-cell chromatin accessibility and transcriptome profiling Techniques statistical methodologies, statistical theory, differential expression testing, genome-wide CRISPRi perturbations Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm PerturbPlan: An analytical framework for designing Perturb-seq experiments Omics Technologies Collaborators: Stanford University Genome editing/CRISPRRNA-seqMethodologyGene regulation
Levin Lablevin-lab.org/index.html Dry lab~1 people Uses human genetics and bioinformatics to identify therapeutic targets and predict cardiovascular risk. Builds polygenic risk scores in deeply phenotyped biobank and clinical cohorts. 190 papers since 2024 › Exploring the role of large language models in the scientific method: from hypothesis to discovery npj Artificial Intelligence, 2025 AI is a viable alternative to high throughput screening: a 318-target study Scientific Reports, 2024 Collective intelligence: A unifying concept for integrating biology across scales and substrates Communications Biology, 2024 Source: OpenAlex author A5085228887 6 platforms and techniques › Techniques bioinformatics, deep phenotyping, fine-mapping, colocalization, Mendelian randomization, polygenic risk scores Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm Genome-wide variance QTL mapping of spirometry traits links pulmonary function heterogeneity to COPD Statistical Genetics and Genetic Epidemiology Quantitative traitGenome-wide association studyGene environment interactionRespiratory system
Maxwell Labmed.upenn.edu/kmaxwelllab Wet + dry lab~23 people Studies BRCA1/2 and TP53 cancers using EM-seq, single-cell RNA sequencing, organoids and biobank data. Targets early detection and prostate-cancer genetics in Penn and VA cohorts. 141 papers since 2024 › Update on Cancer Screening Recommendations for Individuals with Li–Fraumeni Syndrome Clinical Cancer Research, 2025 BRCA1, BRCA2 , and Associated Cancer Risks and Management for Male Patients JAMA Oncology, 2024 Update on Pediatric Cancer Surveillance Recommendations for Patients with Neurofibromatosis Type 1, Noonan Syndrome, CBL Syndrome, Costello Syndrome, and Related RASopathies Clinical Cancer Research, 2024 Source: OpenAlex author A5061783891 Funded by Department of Defense, Basser Center for BRCA +3 more › Department of Defense · active “Department of Defense” Basser Center for BRCA · active “Basser Center for BRCA” VA ORD · active “VA ORD” +2 more on the lab page Source: lab pages 15 platforms and techniques › Works with Enzymatic methylation-sequencing (EM-seq), Single-cell RNA sequencing, Amplicon-based DNA sequencing, Bulk RNA sequencing, Targeted DNA sequencing, Whole-genome sequencing, SNP genotyping Techniques In vitro modeling, In vivo modeling, Organoid development, Patient-derived prostate organoid models, Western blot, RT-qPCR, Immunofluorescence, Organoid transfection Source: lab pages Currently hiring › “The Maxwell Lab is hiring a new CRC for Spring 2027.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Comparison of point-of-care genetic testing to standard practices in urology clinics Health Services Research and Implementation Science Collaborators: Abramson Cancer Center, University of Pennsylvania Health System CancerClinical geneticsGenetic testing
Penn Medicine BioBankpmbb.med.upenn.edu ~51 people Combines Penn patient samples with clinical, genetic and survey data, including whole-exome sequencing and genotyping-chip data. Supports precision medicine and disease research with Penn investigators. 11 platforms and techniques › Works with whole-exome sequencing, genome-wide SNP arrays, genotype imputation, longitudinal electronic health records, CT scans Techniques polygenic risk scores, bioinformatics, deep learning, genome-first approach, phenome-wide association study, genome-wide association study Source: lab pages No funding stated · No openings posted	Symposium Fri Oct 23 8:15 am Introduction Host-Pathogen Coevolution: Shaping Genetic Diversity and Disease Resistance
Penn Neurodegeneration Genomics Centermed.upenn.edu/pngc Dry lab~27 people Analyzes high-throughput genotyping, sequencing and tens of thousands of genomes. Supports ADSP, NIAGADS and Alzheimer’s disease gene discovery. Funded by National Institutes of Health (NIH), National Institute on Aging (NIA) › National Institutes of Health (NIH), ADGC, CASA, CGAD, NIAGADS · active “several NIH-funded projects (ADGC, CASA, CGAD, NIAGADS)” National Institute on Aging (NIA), GCAD; U54-AG052427 · active “a five-year/$10.8M U54 Cooperative Agreement/Specialized Center funded by NIA (U54-AG052427)” Source: lab pages 12 platforms and techniques › Analyzes High-throughput genotyping, Next-generation sequencing, Whole-exome sequencing, Targeted sequencing, RNA-seq, Single-cell sequencing Techniques Bioinformatics, Biostatistics, Data harmonization, Variant annotation, Sequencing pipelines, Algorithm development Source: lab pages Currently hiring › “available opportunities in the Penn Neurodegeneration Genomics Center” Source: lab positions page	Poster Wed Oct 21 2:30 pm Multi-Allelic Association Reveals 6 Novel Loci in 36,361 Whole Genomes: the Alzheimer’s Disease Sequencing Project (ADSP) Complex Traits and Polygenic Disorders Collaborators: University of Miami, Boston University +1 more Alzheimer’s diseaseGenome-wide association studyMassively parallel sequencingNeurodegeneration
Romano Labromanolab.org Dry lab~10 people Builds graph machine-learning models from electronic health records, biobanks, multi-omics datasets and Penn Medicine BioBank data. Studies disease mechanisms, women’s health and toxicology. 35 papers since 2024 › Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background The Astrophysical Journal, 2024 Erratum: “The NANOGrav 15 yr Data Set: Search for Signals from New Physics” (2023, ApJL 951 L11) The Astrophysical Journal Letters, 2024 Characterizing gravitational wave detector networks: from A ♯ to cosmic explorer Classical and Quantum Gravity, 2024 Source: OpenAlex author A5106695492 Funded by NIH, NSF +2 more › NSF, 2500339: SCH: An intraoral device for multimodal data integration and risk modification connects the oral microbiome to systemic health · 2025-2029 “NSF [2500339]: SCH: An intraoral device for multimodal data integration and risk modification connects the oral microbiome to systemic health (2025-2029).” NIH, OT2-OD040373: Genomic and exposomic factors in the cause and rise of autism · 2025-2028 “NIH [OT2-OD040373]: Genomic and exposomic factors in the cause and rise of autism (2025-2028).” NIH/NLM, K99/R00-LM013646: Discovering clinical endpoints of toxicity via graph machine learning and semantic data analysis · 2021-2025 “NIH/NLM [K99/R00-LM013646]: Discovering clinical endpoints of toxicity via graph machine learning and semantic data analysis (2021-2025).” +1 more on the lab page Source: lab pages 15 platforms and techniques › Analyzes electronic health records, Penn Medicine BioBank, dbSNP, NCBI Human Gene, Omics Pred, GTEx, Open Targets Techniques graph neural networks, QSAR modeling, knowledge graph construction, multimodal data integration, natural language processing, link prediction, protein and drug representation learning, differential gene expression analysis Source: lab pages Currently hiring › “We are always interested in hearing from motivated students and postdocs who share our research interests.” Source: lab positions page	Poster Thu Oct 22 4:15 pm Beyond pathogenic and benign: A comprehensive analysis of ClinVar classification dynamics reveals systematic trends Genetic, Genomic, and Epigenomic Resources and Databases Collaborators: Broad Institute Variant interpretationPrecision medicineClinical geneticsPopulation genetics
Vujković Labvujkoviclab.com Dry lab~3 people Analyzes GWAS and electronic health-record data with computational biology and clinical epidemiology. Studies cardiometabolic and liver disease for precision risk assessment and drug repurposing. 51 papers since 2024 › Genetic drivers of heterogeneity in type 2 diabetes pathophysiology Nature, 2024 Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis Nature Genetics, 2024 A genome-first approach to variants in MLXIPL and their association with hepatic steatosis and plasma lipids Hepatology Communications, 2024 Source: OpenAlex author A5007930206 Funded by NIH, Million Veteran Program › NIH · active “Her NIH-funded research program aims to advance the understanding of genetics underlying obesity-induced diseases” Million Veteran Program, Early Career Investigator Award · 2019 “in 2019 she received the Million Veteran Program Early Career Investigator Award.” Source: lab pages 7 platforms and techniques › Analyzes electronic health records, DNA methylation profiles Techniques genome-wide association studies (GWAS), polygenic risk scores, genomics-informed pharmaco-epidemiology, multi-omics integration, DNA methylation profiling Source: lab pages Currently hiring › “We are always seeking talented and motivated individuals to join our collaborative research environment.” Source: lab positions page	Poster Thu Oct 22 4:15 pm Blood DNA Methylation Signatures Predict Incident All-Cause Liver Cirrhosis in the Million Veteran Program Epigenomics Collaborators: Philadelphia VA Medical Center, VA Palo Alto Health Care System +5 more BioinformaticsEpigeneticsMulti-omics
Xing Laboratoryxinglab.org/people Wet + dry lab~21 people Develops computational and experimental methods for RNA processing using long-read RNA-seq, short-read RNA-seq and nanopore sequencing. Applies them to human genetics, diagnostics and cancer immunotherapy. 104 papers since 2024 › Research progress and future prospects of chemical utilization of CO2 Chemical Engineering Journal, 2025 rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data Nature Protocols, 2024 Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues Cell, 2024 Source: OpenAlex author A5087568641 Funded by National Cancer Institute, National Cancer Institute +4 more › National Cancer Institute, Cancer Moonshot Immuno-Oncology Translation Network (IOTN); U01 · September 2018 “The NCI Cancer Moonshot Immuno-Oncology Translation Network (IOTN) funded our U01 grant proposal” National Cancer Institute, R01 · March 2018 The NIH's standard multi-year research project grant. “The National Cancer Institute funded our R01 grant proposal to study alternative isoform variation in prostate cancer.” NIH, R01 · May 2017 The NIH's standard multi-year research project grant. “is renewed by the NIH for four more years.” +3 more on the lab page Source: lab pages 11 platforms and techniques › Works with long-read RNA-seq, short-read RNA-seq, TEQUILA-seq, nanopore long-read sequencing, single-cell long-read sequencing Techniques alternative splicing analysis, deep learning, machine learning, rolling circle amplification, m6A-LAIC-seq, IRIS Source: lab pages Currently hiring › “We have openings for motivated undergraduate and graduate students from various scientific disciplines” Source: lab positions page	Talk Fri Oct 23 11:15 am Integrating long-read RNA sequencing with genomics and phenomics in a birth defects cohort to discover disease-relevant splice-altering variants Splicing in Disease Etiology Alternative splicingComplex diseasesLong-read sequencingMendelian disorder
Akizu Labmed.upenn.edu/akizulab Wet + dry lab~10 people Integrates human genetics with human pluripotent stem cells and animal models. Studies developmental brain disorders, neurodegeneration and treatments. 27 papers since 2024 › Targeted therapy improves cellular dysfunction, ataxia, and seizure susceptibility in a model of a progressive myoclonus epilepsy Cell Reports Medicine, 2024 KOLF2.1J iPSCs carry CNVs associated with neurodevelopmental disorders Cell stem cell, 2024 Altered lipid homeostasis is associated with cerebellar neurodegeneration in SNX14 deficiency JCI Insight, 2024 Source: OpenAlex author A5071166335 8 platforms and techniques › Analyzes ChIPseq Techniques Human pluripotent stem cells, Animal models, Neuronal culture and engraftments, Metabolomics, Proteomics, Neuromuscular junction organoids, Drosophila melanogaster Source: lab pages Currently hiring › “We continuously seek to recruit motivated students” Source: lab positions page No funding stated	Moderator Fri Oct 23 11:00 am RNA Unbound: New Regulatory Layers from Modifications to Circular RNA in Disease
Musunuru Laboratorymed.upenn.edu/cvi/musunuru-laboratory.html Wet lab~1 people Uses CRISPR base editing, adult stem cells and mouse and monkey models. Develops gene editing therapies for cardiovascular and metabolic diseases. 30 papers since 2024 › Patient-Specific In Vivo Gene Editing to Treat a Rare Genetic Disease New England Journal of Medicine, 2025 Gene therapy and genome editing for lipoprotein disorders European Heart Journal, 2025 Building Better Medicine: Translational Justice and the Quest for Equity in US Healthcare The American Journal of Bioethics, 2025 Source: OpenAlex author A5040568538 Funded by NIH › NIH, U01 · active ““Received an U01 from NIH entitled ‘Personalized prime editing as a platform for hepatic inborn errors of metabolism’”” Source: lab pages 11 platforms and techniques › Works with CRISPR base editing, Adenine base editors, Genome-edited cardiomyocytes, hiPSCs and derived hepatocyte-like cells, Exome-wide association studies Techniques CRISPR-Cas9 base editing, Prime editing, Adult stem-cell cardiomyocyte modeling, In vivo therapeutic gene editing, hiPSCs and hepatocyte-like cells, Mouse and monkey models Source: lab pages No openings posted	Session Fri Oct 23 1:30 pm The Future of Gene Therapy: Policy Pathways for Safe, Scalable Innovation
Tuteja Labmed.upenn.edu/tuteja-lab Dry lab~5 people Studies pharmacogenomics with EHR-linked DNA, Penn Medicine Biobank and Million Veteran Program data. Integrates pharmacogenetic testing into care and studies multiomic predictors of drug response. 23 papers since 2024 › A Guide for Implementing DPYD Genotyping for Systemic Fluoropyrimidines into Clinical Practice Clinical Pharmacology & Therapeutics, 2025 CYP2C19 Genetic Testing for Oral P2Y12 Inhibitor Therapy: A Scientific Statement From the American Heart Association Circulation, 2024 The Pharmacogenomics Global Research Network Implementation Working Group: global collaboration to advance pharmacogenetic implementation Pharmacogenetics and Genomics, 2024 Source: OpenAlex author A5021831441 Funded by Precision Medicine Accelerator Fund › Precision Medicine Accelerator Fund · active “Learn more about Dr. [name]’s Precision Medicine Accelerator Fund Project.” Source: lab pages 9 platforms and techniques › Analyzes EHR-linked DNA repositories, Penn Medicine Biobank (PMBB), Veteran Affairs Million Veteran Program (MVP) Techniques Implementation science, Genetic association studies, Pharmacogenetic testing implementation, Genomics, Metabolomics, Metagenomics Source: lab pages No openings posted	Moderator Fri Oct 23 8:15 am Pharmacogenomics: Moving Beyond Gene-Drug Pairs
Biomedical and Translational Informatics Laboratoryritchielab.org Works in population genetics. 89 papers since 2024 › Genetic drivers of heterogeneity in type 2 diabetes pathophysiology Nature, 2024 A deep catalogue of protein-coding variation in 983,578 individuals Nature, 2024 A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma Cell, 2024 Source: OpenAlex author A5081769614	Poster Wed Oct 21 2:30 pm Structural brain variation reflects coordinated genetic effects across glial biology, peripheral organ systems, and multi-system disease risk Molecular Effects of Genetic Variation Collaborators: Medical University of South Carolina Brain/nervous systemComplex diseasesGenetic mappingGenetic variation
Rabadan Labrabadanlab.org/people-alumni Works in population genetics.	Poster Thu Oct 22 4:15 pm Association between polygenic scores for psychiatric disorders and pain-related clinical phenotypes Complex Traits and Polygenic Disorders Psychiatric geneticsPolygenic risk scoreAnxietyDepression
Grant and Voight labs Works in population genetics.	Talk Thu Oct 22 9:00 am Betanfer: Estimation of linkage disequilibrium from GWAS summary statistics enables large-scale cross-biobank fine mapping From Labels to Landscapes: Leveraging Local Ancestry and the Ancestry Continuum to Maximize Cross-Ancestry Association Collaborators: Argonne National Laboratory, University of Chicago +5 more Genome-wide association studyGenetic mappingStatistical genetics
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