ASHG 2026 · Tier 2–3 Academic

Indiana University School of Medicine at ASHG 2026

Indianapolis, Indiana

Indiana University School of Medicine at ASHG 2026 in Montréal: 9 presentations (8 posters, 1 lightning talk); 7 research groups.

9
presentations on the program
7
research groups identified
2
sessions invited to or moderated
2
Reviewers’ Choice abstracts

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OrganizationASHG 2026 Attendance
Indiana University School of Medicine
Indianapolis, Indiana
2 Postdocs · 2 PIs · 1 Faculty · 1 PhD Student
Center for Computational Biology and Bioinformaticsmedicine.iu.edu/research-centers/computational-biology-bioinformatics/investigators
Wet + dry lab~39 people
Analyzes next-generation sequencing, microarray and mass spectrometry-based proteomics data. Applies computational methods to biomarker discovery, drug response and precision medicine.
Funded by Indiana Clinical and Translational Sciences Institute, IU School of Medicine Center for Computational Biology and Bioinformatics
Indiana Clinical and Translational Sciences Institute, pilot funding opportunities · active
“participates in the pilot funding opportunities provided by the Indiana Clinical and Translational Sciences Institute (CTSI)”
IU School of Medicine Center for Computational Biology and Bioinformatics, Single-Cell Sequencing Technology pilot funding opportunity · 2018
“a pilot funding opportunity was offered for IU School of Medicine investigators to initiate studies using single-cell sequencing technology.”
Source: lab pages
11 platforms and techniques
Analyzes
next-generation sequencing, microarray, mass spectrometry-based proteomics, single-cell sequencing
Techniques
machine learning, computer vision and deep learning, structure-based virtual screening, literature and medical-record text mining, systems biology, statistical genetics, pharmacometrics
Source: lab pages
No openings posted
Poster
Thu Oct 22
4:15 pm
Toward Clinical Implementation of Polygenic Scores for Substance Use Disorders: A Multi-Ancestry Study
Complex Traits and Polygenic Disorders
BehaviorPolygenic risk scorePsychiatric geneticsRisk assessment
Center for Neuroimagingmedicine.iu.edu/research-centers/medical-imaging/centers/neuroimaging
Wet + dry lab~26 people
Uses MRI, PET, genomics and electronic medical records for structural, functional and molecular brain imaging. Works with the Indiana Alzheimer’s Disease Research Center.
246 papers since 2024
The Global Neurodegeneration Proteomics Consortium: biomarker and drug target discovery for common neurodegenerative diseases and aging
Nature Medicine, 2025
A cross‐sectional study of α‐synuclein seed amplification assay in Alzheimer's disease neuroimaging initiative: Prevalence and associations with Alzheimer's disease biomarkers and cognitive function
Alzheimer s & Dementia, 2024
GWAS of multiple neuropathology endophenotypes identifies new risk loci and provides insights into the genetic risk of dementia
Nature Genetics, 2024
Source: OpenAlex author A5026257338
15 platforms and techniques
Works with
MRI, PET, Medical cyclotron, Chromatography equipment, Automated well counter system, Big Red II, Karst, Mason
Techniques
Structural neuroimaging, Functional neuroimaging, Molecular neuroimaging, Genomics and biomarker analysis, Radiopharmaceutical synthesis, Image processing and analytic methods, Human and animal models
Source: lab pages
Currently hiring
“MIRI is recruiting a faculty-level candidate to work with interdisciplinary teams”
Source: lab positions page
No funding stated
Poster
Wed Oct 21
2:30 pm
★ Reviewers’ Choice
Genome-wide transcriptome analysis in Alzheimer’s disease continuum in a Korean population: relation to Aβ deposition on PET
Omics Technologies
Collaborators: Seoul National University, Hallym University +2 more
Brain/nervous systemAlzheimer’s diseaseTranscriptomeMolecular pathophysiology
Zhang Research Labwenzhanglab.com
Wet lab~3 people
Develops modified L-RNA, aptamers and RNA nanostructures using chemical synthesis, X-ray/neutron crystallography and cell assays. Targets cancer drug delivery and RNA replication mechanisms.
14 platforms and techniques
Runs
X-ray crystallography, Neutron crystallography, 300 MHz NMR, Mass spectrometry, HPLC, Flow cytometry, Alamar Blue assay, PCR
Techniques
SELEX, Chemical synthesis of modified L-RNA, RNA nanostructure construction, X-ray and neutron crystallography, Cryo-EM structural study, Cell culture
Source: lab pages
Currently hiring
“Positions for potential students and postdocs are open now”
Source: lab positions page
No funding stated
Poster
Fri Oct 23
2:30 pm
Precision Pulmonary Medicine Research Programcdn.medicine.iu.edu/internal-medicine/specialties/pulmonary/research/precision-pulmonary-medicine
Wet + dry lab~4 people
Integrates multi-omics, genomics, transcriptomics, proteomics, metabolomics, microbiomics and exposomics with clinical and social data. Targets precision diagnosis and treatment of lung and respiratory diseases.
55 papers since 2024
Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues
Human Genomics, 2025
Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations
Nature Medicine, 2024
Gender-based violence in the context of armed conflict in Northern Ethiopia
Conflict and Health, 2024
Source: OpenAlex author A5009024608
8 platforms and techniques
Analyzes
electronic medical record
Techniques
multi-omics integration, machine learning and bioinformatics methods, polygenic risk scores, whole transcriptome RNA-seq profiling, deep learning, admixture mapping, functional genomics
Source: lab pages
No funding stated · No openings posted
Division of Human Genetics
Works in computational genetics.
Poster
Wed Oct 21
2:30 pm
Genetic Factors Influencing the Morphology of the Cerebral Cortex
Complex Traits and Polygenic Disorders
Collaborators: The University of Texas Rio Grande Valley, Boston Children's Hospital +1 more
Genome-wide association studyNeurogenetics
Schwantes-An Lab
Works in population genetics.
Poster
Wed Oct 21
2:30 pm
Nature and Nurture: Genetics and Socioeconomic Status contribute independently to common disease burdens
Statistical Genetics and Genetic Epidemiology
Electronic health recordsGenetic epidemiologyGenome-wide association studyStatistical genetics
Diagnostic Genomics Laboratory
Research group.
3 more presenters — research group not yet identified

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