The University of Texas Health Science Center at Houston at ASHG 2026

Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website

The University of Texas Health Science Center at Houston brings 3 presentations from 2 research groups to ASHG 2026 in Montréal. Its program centres on population genetics, computational analysis, and clinical genetics. The Human Genetics Center brings 500,000-plus All of Us genomes, while He Y. Lab examines genetic and proteomic predictors of COPD heterogeneity.

OrganizationASHG 2026 Attendance
2 Faculty · 1 PhD Student
Human Genetics Centersph.uth.edu/research/centers/hgc
Dry lab~22 people
Analyzes whole-genome sequencing, DNA methylation, proteomic profiling and metabolic profiling data. Research spans genetic epidemiology and computational biology for public-health outcomes.
79 papers since 2024
›
Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes
Nature Genetics, 2025
Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
Nature Genetics, 2024
An approach to identify gene-environment interactions and reveal new biological insight in complex traits
Nature Communications, 2024
Source: OpenAlex author A5080311961
Funded by National Institutes of Health, American Heart Association +4 more
›
National Institutes of Health · active
“Funding of our research comes from external sources, including the National Institutes of Health”
American Heart Association · active
“the American Heart Association”
American Diabetes Association · active
“the American Diabetes Association”
+3 more on the lab page
Source: lab pages
10 platforms and techniques
›
Analyzes
whole-genome sequencing, DNA methylation, proteomic profiling, metabolic profiling, MRI
Techniques
variant calling and annotation, gene-by-environment interaction, polygenic risk scores, deep phenotyping, whole-genome analysis
Source: lab pages
No openings posted
Poster
Thu Oct 22
4:15 pm
Cross-platform comparison of cis-pQTL associations using Olink proteomic data in the Trans-Omics for Precision Medicine (TOPMed) Program
Collaborators: University of Michigan, Baylor College of Medicine
ProteomicsSNP analysis/discoveryGenetic variationExome/genome sequencing
He Y. Labheylab.org
Dry lab~6 people
Develops statistical and machine-learning methods for environmental exposure, electronic health care and multi-omic data. Studies disease heterogeneity, risk prediction and precision medicine.
Funded by Mass General Brigham (MGB), NSF +2 more
›
Mass General Brigham (MGB), Precision and Genomic Medicine Training Grant · 2023–24
“Mass General Brigham (MGB) Precision and Genomic Medicine Training Grant”
NSF, NSF Graduate Research Fellowship Program · 2020–22
“NSF Graduate Research Fellowship Program”
NHGRI, NHGRI Institutional National Training Grant · 2018–20
“NHGRI Institutional National Training Grant”
+1 more on the lab page
Source: lab pages
5 platforms and techniques
›
Techniques
Polygenic risk scores, Genome-wide association studies (GWAS), Proteomics, Statistical modeling, Polyexposure risk scores
Source: lab pages
Currently hiring
›
“We’re hiring!”
Source: lab positions page
Poster
Thu Oct 22
4:15 pm
Environmental Contexts Shape the Proteomic and Genetic Predictors of Underlying COPD Heterogeneity
Collaborators: Massachusetts General Hospital, The University of Texas MD Anderson Cancer Center
Gene environment interactionGenetic epidemiologyMulti-omicsProteomics
1 more presenter — research group not yet identified

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