Wang, Yuxuan |
Whole genome sequence analysis of long non-coding RNAs for plasma lipid traits |
Lipids |
ASHG (October 27, 2022) |
|
Orchard, Peter |
Cross-cohort eQTL fine-mapping utilizing TOPMed whole genome sequencing identifies tens of thousands of independent eQTLs signals and thousands of eQTLs colocalizing with complex trait-associated variants |
Multi-Omics |
ASHG 2022 Annual Meeting (Oct. 25 - 29, 2022) |
|
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 |
Whole Genome Sequencing Analyses of 45,090 Individuals Reveal Rare Coding and Noncoding Variants Associated with Kidney Function |
Kidney Function |
ASHG 2022 (Oct 25-Oct 29) |
|
Johnson, Randi K. |
Predicted nasal epithelial transcriptome-wide association study in African-ancestry populations |
Asthma |
ASHG October 2022 |
|
Carlson, Jenna |
Portability of a Multiethnic Polygenic Risk Score for Low-Density Lipoprotein Cholesterol in a Samoan Population |
Lipids |
ASHG Annual Meeting 2022 (October 25-29, 2022) |
|
Sarnowski, Chloé |
Leveraging multi-ancestry and whole genome sequence data to improve our understanding of the genetic architecture of neurological traits – applications from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program |
Diabetes, Neurocognitive |
International Stoke Genetics Consortium (ISGC), 21-23 Sept 2022 |
|
Sarnowski, Chloé |
Leveraging multi-ancestry and whole genome sequence data to improve our understanding of the genetic architecture of neurological traits – applications from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program |
Diabetes, Neurocognitive |
International Stoke Genetics Consortium (ISGC), 21-23 Sept 2022 |
|
Sarnowski, Chloé |
Polygenic scores for insulin resistance are associated with brain volumes in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program |
Diabetes, Neurocognitive |
CHARGE Seattle Conference (Oct 12-14, 2022) |
|
Wheeler, Heather |
Multiadaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations. |
MESA Omics |
ASHG October 25-29, 2022 |
|