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| Submitted by | Title Sort descending | Working Group(s) | Name and Date of Professional Meeting | POST DATE |
|---|---|---|---|---|
| Weinstock, Joshua | A compendium of recurrent somatic variation in 46,080 TOPMed whole genomes | Hematology and Hemostasis | ASHG 2020 | |
| Earley, Eric | A Cox proportional hazards whole genome sequencing study of ischemic stroke risk in a Brazilian sickle cell population | ASHG Oct 25-29, 2022 | ||
| 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) | |
| Mathur, Ravi | A generalizable protocol for leveraging whole genome sequenced cohorts as population controls for new genome wide association studies | Analysis | ASHG Annual Meeting (October 27-30, 2020) | |
| Carlson, Jenna | A large effect, Polynesian-specific, stop-gained variant in BTNL9 is associated with atherogenic lipid profiles | Lipids | ASHG 2019 (October 15-19, 2019) | |
| Hsu, Yi-Hsiang | A large-scale whole genome sequencing to identify less common and rare variants associated with osteoporosis and fracture: The NHLBI TopMed Study | Bone Mineralization | American Society of Human Genetics (October 2019) | |
| 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 | |
| Chami, Nathalie | A multi-ancestry whole exome sequencing analyses of BMI and obesity identifies novel genes | Anthropometry - Adiposity (includes Physical Activity) | Multi-omics in Metabolic Disease June 7-9, 2023 | |
| Minster, Ryan L | A novel variant in CETP is associated with higher HDL-cholesterol in people of Polynesian ancestry | Lipids | ASHG (Oct 16, 2019) | |
| Liu, Dajiang | A Statistical framework to assess replicability of signals from trans-ethnic genome-wide association meta-analysis: Applications to smoking/drinking addiction traits using 3.4 million individuals. | Smoking | ASHG Annual Meeting (October 18-22, 2021) |
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