Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Public Health
Whole Genome Sequencing Identifies Structural Variants Contributing To Hematologic Traits In The Nhlbi Topmed Program, Marsha M Wheeler, Adrienne M Stilp, Shuquan Rao, Bjarni V Halldórsson, Doruk Beyter, Jia Wen, Anna V Mihkaylova, Caitlin P Mchugh, John Lane, Min-Zhi Jiang, Laura M Raffield, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B Bis, Nathalie Chami, Paul S De Vries, Pinkal Desai, James S Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R Yanek, Laura Almasy, Lewis C Becker, John Blangero, Michael H Cho, Joanne E Curran, Myriam Fornage, Robert C Kaplan, Joshua P Lewis, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Michael Preuss, Bruce M Psaty, Stephen S Rich, Jerome I Rotter, Hua Tang, Russell P Tracy, Eric Boerwinkle, Goncalo R Abecasis, Thomas W Blackwell, Albert V Smith, Andrew D Johnson, Rasika A Mathias, Deborah A Nickerson, Matthew P Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K Magnússon, Kari Stefansson, Nathan D Pankratz, Daniel E Bauer, Paul L Auer, Alex P Reiner
Whole Genome Sequencing Identifies Structural Variants Contributing To Hematologic Traits In The Nhlbi Topmed Program, Marsha M Wheeler, Adrienne M Stilp, Shuquan Rao, Bjarni V Halldórsson, Doruk Beyter, Jia Wen, Anna V Mihkaylova, Caitlin P Mchugh, John Lane, Min-Zhi Jiang, Laura M Raffield, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B Bis, Nathalie Chami, Paul S De Vries, Pinkal Desai, James S Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R Yanek, Laura Almasy, Lewis C Becker, John Blangero, Michael H Cho, Joanne E Curran, Myriam Fornage, Robert C Kaplan, Joshua P Lewis, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Michael Preuss, Bruce M Psaty, Stephen S Rich, Jerome I Rotter, Hua Tang, Russell P Tracy, Eric Boerwinkle, Goncalo R Abecasis, Thomas W Blackwell, Albert V Smith, Andrew D Johnson, Rasika A Mathias, Deborah A Nickerson, Matthew P Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K Magnússon, Kari Stefansson, Nathan D Pankratz, Daniel E Bauer, Paul L Auer, Alex P Reiner
Journal Articles
Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits …
A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin
A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin
Journal Articles
Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate …
Top-Ld: A Tool To Explore Linkage Disequilibrium With Topmed Whole-Genome Sequence Data, Le Huang, Jonathan D Rosen, Quan Sun, Jiawen Chen, Marsha M Wheeler, Ying Zhou, Yuan-I Min, Charles Kooperberg, Matthew P Conomos, Adrienne M Stilp, Stephen S Rich, Jerome I Rotter, Ani Manichaikul, Ruth J F Loos, Eimear E Kenny, Thomas W Blackwell, Albert V Smith, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Eric Boerwinkle, Laura M Raffield, Alex P Reiner, Paul L Auer, Yun Li
Top-Ld: A Tool To Explore Linkage Disequilibrium With Topmed Whole-Genome Sequence Data, Le Huang, Jonathan D Rosen, Quan Sun, Jiawen Chen, Marsha M Wheeler, Ying Zhou, Yuan-I Min, Charles Kooperberg, Matthew P Conomos, Adrienne M Stilp, Stephen S Rich, Jerome I Rotter, Ani Manichaikul, Ruth J F Loos, Eimear E Kenny, Thomas W Blackwell, Albert V Smith, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Eric Boerwinkle, Laura M Raffield, Alex P Reiner, Paul L Auer, Yun Li
Journal Articles
Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project. Here, we present toP-LD, an online tool to explore LD inferred with high-coverage (∼30×) WGS data from 15,578 individuals in the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. toP-LD provides a significant upgrade compared to current LD tools, as the toPMed WGS data provide a more comprehensive representation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the specific populations that we …
Rare Coding Variants In Rcn3 Are Associated With Blood Pressure, Karen Y. He, Tanika N. Kelly, Heming Wang, Jingjing Liang, Luke Zhu, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Lawrence F. Bielak, Adam P. Bress, Jennifer A. Brody, Yen-Pei Christy Chang, Yi-Cheng Chang, Paul S. De Vries, Ravindranath Duggirala, Ervin R. Fox, Nora Franceschini, Anna L. Furniss, Yan Gao, Donna K. Arnett
Rare Coding Variants In Rcn3 Are Associated With Blood Pressure, Karen Y. He, Tanika N. Kelly, Heming Wang, Jingjing Liang, Luke Zhu, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Lawrence F. Bielak, Adam P. Bress, Jennifer A. Brody, Yen-Pei Christy Chang, Yi-Cheng Chang, Paul S. De Vries, Ravindranath Duggirala, Ervin R. Fox, Nora Franceschini, Anna L. Furniss, Yan Gao, Donna K. Arnett
Epidemiology and Environmental Health Faculty Publications
BACKGROUND: While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of …