Carlson, Jenna |
The extent to which augmenting extant reference panels with population-specific sequences improves imputation quality |
Anthropometry - Adiposity (includes Physical Activity), Population Genetics |
American Society of Human Genetics Annual Meeting (November 1-5, 2023) |
|
Li, Xihao |
MultiSTAAR: A statistical framework for powerful rare variant multi-trait analysis in biobank-scale sequencing studies |
Lipids |
American Society of Human Genetics Annual Meeting (November 1-5, 2023) |
|
Van Buren, Eric |
cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of non-coding regions |
Lipids |
ASHG 2023 |
|
Keener, Rebecca |
Rare variants affecting telomere length and disease identified through multi-omic modeling |
Multi-Omics |
ASHG Conference (November 5-9, 2023) |
|
Wuichet, Kristin |
A Genotype Validated Bimodal Method for the Large-Scale Identification and Phenotyping of Persons with Sickle Cell Disease Using Electronic Health Record Data |
Sickle Cell Disease |
ASH Annual Meeting 2023 |
|
Heard-Costa, Nancy |
Genetic return of results in a population-based cohort: Enrollment experience from the PopSeq Project |
dbGaP |
ASHG Conference November 1-5, 2023 |
|
Zhou, Laura |
Use of Polygenic Risk Scores to Improve GFR Estimating Equation in CRIC and MESA |
Kidney Function |
ASHG Conference (Nov 1-5 2023) |
|
Debban, Catherine |
Multi-study pQTL analysis of Somascan proteomics in multi-ancestry TOPMed Cohorts |
Multi-Omics |
ASHG Meeting (November 1-5 2023) |
|
Hu, Xiaowei |
Multi-ancestry transcriptome predictions with functionally informed variants improve transcriptome-wide association studies in TOPMed MESA |
Multi-Omics |
American Society of Human Genetics (November 1-5, 2023) |
|
Yang, Chaojie |
Systematic integration of multi-omics data from TOPMed MESA for the study of coronary artery disease (CAD) and subclinical atherosclerosis |
MESA Omics |
ASHG (November 1-5, 2023) |
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