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| Submitted by Sort ascending | Title | Working Group(s) | Name and Date of Professional Meeting | POST DATE |
|---|---|---|---|---|
| Zoellner, Sebastian | Estimating the ages of rare variants using long range identity by descent (IBD) | ASHG Poster number 2405F | ||
| Zilin Li | Whole Genome Sequence Association Analysis of Body Mass Index in 45,159 TOPMed Participants | Anthropometry - Adiposity (includes Physical Activity) | ASHG (October 15-19, 2019) | |
| Zhu, Xiaofeng | Low frequency and rare variants of RBFOX1 are associated with blood pressure | Blood Pressure | ASHG 2017 annual meeting | |
| Zhu, Xiaofeng | Low frequency and rare variants in multiple genes are associated with sleep related traits using whole genome sequencing data | Sleep Traits | ASHG 2017 Annual Meetng | |
| Zhu, Xiaofeng | Targeted genome sequencing identifies multiple rare variants in Caveolin-1 (CAV1) associated with obstructive sleep apnea trait | Sleep Traits | ASHG 2019 | |
| Zhou, Laura | Use of Polygenic Risk Scores to Improve GFR Estimating Equation in CRIC and MESA | Kidney Function | ASHG Conference (Nov 1-5 2023) | |
| Zheng, Xiuwen | Whole genome sequencing association analysis of red blood cell traits in a multi-ethnic population from the Trans-Omics for Precision Medicine (TOPMed) Project | Hematology and Hemostasis | American Society of Human Genetics 2017 Annual Meeting (Oct, 2017) | |
| Zhang, Yixin | TOPMed metabolomics association analysis of cardiovascular disease in participants with type 2 diabetes | Diabetes | CHARGE Meeting (May 10th and 11th, 2023) | |
| Zhang, Xinruo | Whole-genome Sequencing Analysis of Body Mass Index in the Trans-Omics for Precision Medicine (TOPMed) Program Identifies Novel African Ancestry-specific Risk Allele | Anthropometry - Adiposity (includes Physical Activity) | ASHG (November 1, 2023) | |
| Zekavat, Maryam | Analyzing the full spectrum of genomic variation with Lp(a) cholesterol: novel insights from deep, whole genome sequence data in 5,192 Estonians and African Americans | Lipids | Harvard Program in Quantitative Genomics (PQG) meeting (November 2016) |
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