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| Submitted by | Title | Working Group(s) | Name and Date of Professional Meeting | POST DATE |
|---|---|---|---|---|
| Wen, Fayuan | Genome Wide Association Analysis of Iron Overload in the Trans-Omics for Precision Medicine (TOPMed) sickle cell disease cohorts | Sickle Cell Disease | 62nd Annual Meeting of the American Society of Hematology (ASH) (Saturday, December 5 to Tuesday, December 8, 2020) | |
| Daya, Michelle | An HLA association study of total serum IgE levels using whole-genome sequence data from TOPMed | Asthma, Lung | ASHG (Oct 2020) | |
| Hsu, Yi-Hsiang | GDF10, A Novel BMD Locus Identified by Whole Genome Sequencing Showed Reduced Vertebral Bone Mass & Mineralization in CRISPR KO Zebrafish: The NHLBI Trans-Omics for Precision Medicine (TOPMED) Study | Bone Mineralization | ASBMR Sep 2020 | |
| Hsu, Yi-Hsiang | Novel osteoporosis loci identified by whole genome sequencing and CRISPR editing screening in zebrafish: The NHLBI Trans-Omics for Precision Medicine (TOPMED) Study | Bone Mineralization | American Society of Human Genetics (October 2020) | |
| Li, Xihao | Powerful and resource-efficient rare variant meta-analysis for large-scale whole genome sequencing studies using summary statistics and functional annotations, with application to TOPMed lipid data | Lipids | ASHG 2020 Annual Meeting (October 27-31, 2020) | |
| Kasela, Silva | Mapping of mQTLs in TOPMed/MESA and implications in lung disease risk and GxE interactions | Lung | ASHG (October 27-31, 2020) | |
| Manichaikul, Ani | Phenome-wide and molecular consequences of inbreeding | Anthropometry - Adiposity (includes Physical Activity), Diabetes, Lipids, Multi-Omics, PFT Lung Population Cohorts, Population Genetics | American Society of Human Genetics (Oct 27-31, 2020) | |
| Li, Zilin | A framework for detecting non-coding rare variant associations in large whole genome sequencing studies at scale, with application to 30,138 TOPMed participants for lipid traits | Lipids | ASHG Conference (October 27-31) | |
| McHugh, Caitlin | A mixed model approach to testing multiple correlated traits in large samples: An application to the Trans-Omics for Precision Medicine (TOPMed) program hematology phenotypes. | Hematology and Hemostasis | ASHG Conference October 27, 2020 | |
| Raffield, Laura | eSCAN: Scan regulatory regions for aggregate association testing using whole genome sequencing data | Hematology and Hemostasis | American Society of Human Genetics, October 27-31, 2020 |
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