Abstract Viewer
Use the following options to apply a filter to your results.
| 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 | Targeted genome sequencing identifies multiple rare variants in Caveolin-1 (CAV1) associated with obstructive sleep apnea trait | Sleep Traits | ASHG 2019 | |
| 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 | |
| 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) | |
| Zekavat, Maryam | Multi-ethnic whole genome sequence analysis of Lp(a) and phenome-wide scan | Lipids | Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) meeting (Sep 2017) | |
| 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) | |
| Yun, Jeong | Somatic mutations in chronic lung disease are associated with reduced lung function | Lung | ASHG 10/26/2022 | |
| Yu, Bing | Catalog and Genetic Architecture of Circulating Metabolites from Trans-Omics for Precision Medicine (TOPMed) Program | Metabolomics and Proteomics | ASHG Nov 2023 | |
| Yu, Bing | Metabolomic Associations with Pulmonary Function: Findings from the TOPMed Program | Metabolomics and Proteomics | ATS 2020 (May 15, 2020) | |
| Yu, Bing | Multi-Ethnic Whole-Genome Sequencing Analysis of Human Metabolome Identifies 93 Novel Genetic Loci | Metabolomics and Proteomics | ASHG (Oct 27, 2020) | |
| Young, Hannah | Discovering rare variants associated with substance use in 65,000 deep whole genome sequences in the Trans-Omics for Precision Medicine (TOPMed) Program | Smoking | Behavior Genetics Association (Boston, June 20-23, 2018) | |
| Yang, Chaojie | Systematic integration of multi-omics data from TOPMed MESA for the study of coronary artery disease (CAD) and subclinical atherosclerosis | MESA Omics | ASHG (November 1-5, 2023) | |
| Yang, Chaojie | Systematic Integration of Multi-omics Data for Coronary Artery Disease and Subclinical Atherosclerosis | Atherosclerosis - Clinical and Subclinical | ASHG Conference (Oct. 24-28, 2022) and CHARGE Seattle Conference (Oct. 13-14, 2022) | |
| Yanek, Lisa | Genomic Signatures of Aging for Frailty in the NHLBI TOPMed Program | Longevity and Healthy Aging | ASHG Annual Meeting, November 6, 2024 | |
| Xu, Weiling | Mitochondrial DNA Copy Number Variation in Asthma Risk and Severity | Mitochondrial DNA | CHARGE Boston (May 10, 2023) | |
| Xiao, Shujie | Ancestry-specific markers for asthma exacerbation among African American individuals in the Trans-Omics for Precision Medicine (TOPMed) Program’s Asthma Translational Genomics Collaborative (ATGC) | Asthma | ATS 2022 (May 13-18, 2022) | |
| Wuichet, Kristin | A Genotype Validated Bimodal Method for the Large-Scale Identification and Phenotyping of Persons with Sickle Cell Disease Using Electronic Health Record Data | Sickle Cell Disease | ASH Annual Meeting 2023 | |
| Wu Peitao | Whole Genome Sequence Association Analysis of Fasting Glucose in the Trans-Omics for Precision Medicine (TOPMed) program | Diabetes | Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) meeting, Boston (USA), 27-28 Sept 2017. | |
| Willer, Cristen | Loss-of-function genomic variants with impact on liver-related blood traits highlight potential therapeutic targets for cardiovascular disease | Lipids | ASHG 2019 (October 15-19, 2019) | |
| Wheeler, Marsha | Novel structural variants originating in F8 non-coding regions explain previously unresolved cases of severe hemophilia A | Hematology and Hemostasis | ASHG | |
| Wheeler, Marsha | Genomic characterization of F8 and F9 copy number variants in the My Life, Our Future TOPMed hemophilia cohort | Hematology and Hemostasis | ASHG Annual Meeting October 17th | |
| Wheeler, Heather | The genetically regulated transcriptome better predicts plasma protein levels than the observed transcriptome and reveals mechanisms underlying autoimmune diseases | MESA Omics | ASHG November 1-5, 2023 | |
| Wheeler, Heather | Performing TWAS on proteomic data to understand cis and trans gene regulatory mechanisms underlying complex traits | MESA Omics | ASHG October 25-29, 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 | |
| Westerman, Kenneth | Identification of gene-diet interactions impacting glycemic biomarkers in the multi-ethnic TOPMed cohorts | Diabetes | American Society for Nutrition Conference (June 7-10, 2021) | |
| Wessel, Jennifer | Whole Genome Sequence Association Analysis Of Type 2 Diabetes And Glycemic Traits In Trans-omics For Precision Medicine (TOPMed) | Diabetes | International Genetic Epidemiology Society (September 9-11, 2017) | |
| Wessel, Jennifer | TOPMed Whole Genome Sequence Association Analysis Of Type 2 Diabetes | Diabetes | American Society of Human Genetics (October 17-21) | |
| Wessel, Jennifer | TOPMed Whole Genome Sequence Association Analysis Of Type 2 Diabetes | Diabetes | American Society of Human Genetics (October 17-21) | |
| Wen, Jia | Gene Expression and Splicing QTL Analysis of Blood Cells in African American Participants from the Jackson Heart Study | Multi-Omics | 2023 ASHG Annual Meeting, November 1-5, 2023 | |
| 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) | |
| Weinstock, Joshua | A compendium of recurrent somatic variation in 46,080 TOPMed whole genomes | Hematology and Hemostasis | ASHG 2020 | |
| Weinstock, Joshua | Inherited causes and clinical consequences of clonal hematopoiesis from 100,002 whole genomes | Hematology and Hemostasis | ASHG 2019 | |
| Wang, Yuxuan | Whole genome sequence analysis of long non-coding RNAs for plasma lipid traits | Lipids | CHARGE Seattle Conference (Oct 12-14, 2022) | |
| Wang, Yuxuan | Whole genome sequence analysis of long non-coding RNAs for plasma lipid traits | Lipids | ASHG (October 27, 2022) | |
| Wang, Wenbo | AI-STAAR: An ancestry-informed association analysis framework for large-scale multi-ancestry whole genome sequencing studies | Kidney Function | ASHG Annual Meeting (November 5-9, 2024) | |
| Wang, Ningyuan | Integrating Whole Genome Sequence Analysis and eQTL Data from the TOPMed Program Improves Understanding of Type 2 Diabetes Risk Loci in Diverse Populations | Diabetes | American Diabetes Association's 83rd Scientific Sessions (June 23-26, 2023) | |
| Wang, Nannan | Catalog and Genetic Architecture of Circulating Metabolites from Trans-Omics for Precision Medicine (TOPMed) Program | Metabolomics and Proteomics | ASHG Meeting (November 1-5, 2023) | |
| Wang, Heming | Upregulation in the heme biosynthesis pathway increases obstructive sleep apnea severity: a mendelian randomization study | Hematology and Hemostasis, Multi-Omics, Sleep Traits | Joint meeting of the American Academy of Sleep Medicine and the Sleep Research Society (June10,2021) | |
| Wang, Heming | Genetic variants for obstructive sleep apnea identified after modeling interactions with daytime sleepiness | Sleep Traits | SLEEP (June 3, 2023) | |
| Wang, Heming | Whole genome sequence analyses for Excessive Daytime Sleepiness in the NHLBI TOPMed Program | Sleep Traits | SLEEP (June 3, 2023) | |
| Vrieze, Scott | Near-Optimal Trans-ethnic Association and Fine Mapping of Smoking Associated Genes Integrating GWAS and TOPMed sequence Data of 1.3 million individuals | Smoking | ASHG October 2019 | |
| Vrieze, Scott | Trans-ethnic GWAS meta-analysis of tobacco and alcohol use | Smoking | ASHG October 2019 | |
| Van Buren, Eric | cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of non-coding regions | Lipids | ASHG 2023 | |
| Van Buren, Eric | Integration of Multi-Omics Data & eQTL Summary Statistics with omicsSTAAR Boosts Power in Rare Variant Association Tests of Non-Coding Regions | Multi-Omics | ASHG 2024 (November 7, 2024) |
Back to top
