Projects TOPMed
Curation of TOPMed — listings under the Projects tab.
Summary Table
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Data Releases
TOPMed — Freeze 5, first major WGS release
STAGE_PERIOD
2017–2018
DESCRIPTION
First major whole-genome sequencing data freeze (Freeze 5) covering ~14k genomes from diverse ancestral populations including African American, Hispanic/Latino, Asian, and European individuals. Established the TOPMed variant discovery and quality control pipeline.
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TOPMed — Freeze 8, multi-ancestry expansion
STAGE_PERIOD
2019–2020
DESCRIPTION
Freeze 8 expanded WGS to ~62k participants, substantially increasing representation of African American, Hispanic/Latino, Asian, and other ancestries. Enabled deep variant discovery with >400M variants including many rare and population-specific alleles. Became the gold-standard imputation reference panel for multi-ethnic studies.
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TOPMed — WGS freeze expansion & multi-omics integration
STAGE_PERIOD
2022–2025
DESCRIPTION
Continued expansion of TOPMed WGS to over 100k participants across >50 NHLBI cohort studies. Integration of whole-genome sequencing with epigenomics, transcriptomics, proteomics, and metabolomics data. Open access to sequencing data and variant annotations through the BRAVEO browser and dbGaP, serving as a critical resource for the global genetics community.
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Scientific Discovery
TOPMed — Flagship publications & cross-trait analyses
STAGE_PERIOD
2020–2022
DESCRIPTION
Series of landmark papers from TOPMed studies spanning blood pressure, lipid, pulmonary function, and glycemic trait GWAS leveraging the unique WGS data for rare variant association testing. Demonstrated value of deep WGS in diverse populations for fine-mapping and identifying causal variants. Multi-ancestry meta-analyses improved fine-mapping resolution at loci with divergent LD patterns.
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Study Design
TOPMed — Program launch & design
STAGE_PERIOD
2014–2016
DESCRIPTION
Trans-Omics for Precision Medicine (TOPMed) program launched by the NHLBI as part of the Precision Medicine Initiative. Designed to generate whole-genome sequencing data from diverse populations across NHLBI-funded cohort studies, integrating multi-omics data with detailed phenotypes to study heart, lung, blood, and sleep disorders.
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