Other Genetics and Genomics Commons^™

Mosaic Chromosomal Alterations In Blood Across Ancestries Using Whole-Genome Sequencing, Yasminka A Jakubek, Ying Zhou, Adrienne Stilp, Jason Bacon, Justin W Wong, Zuhal Ozcan, Donna Arnett, Kathleen Barnes, Joshua C Bis, Eric Boerwinkle, Jennifer A Brody, April P Carson, Daniel I Chasman, Jiawen Chen, Michael Cho, Matthew P Conomos, Nancy Cox, Margaret F Doyle, Myriam Fornage, Xiuqing Guo, Sharon L R Kardia, Joshua P Lewis, Ruth J F Loos, Xiaolong Ma, Mitchell J Machiela, Taralynn M Mack, Rasika A Mathias, Braxton D Mitchell, Josyf C Mychaleckyj, Kari North, Nathan Pankratz, Patricia A Peyser, Michael H Preuss, Bruce Psaty, Laura M Raffield, Ramachandran S Vasan, Susan Redline, Stephen S Rich, Jerome I Rotter, Edwin K Silverman, Jennifer A Smith, Aaron P Smith, Margaret Taub, Kent D Taylor, Jeong Yun, Yun Li, Pinkal Desai, Alexander G Bick, Alexander P Reiner, Paul Scheet, Paul L Auer

Faculty, Staff and Student Publications

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. …

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

Faculty, Staff and Student Publications

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 …

A Genome-Wide Association Study Discovers 46 Loci Of The Human Metabolome In The Hispanic Community Health Study/Study Of Latinos, Elena V Feofanova, Han Chen, Yulin Dai, Peilin Jia, Megan L Grove, Alanna C Morrison, Qibin Qi, Martha Daviglus, Jianwen Cai, Kari E North, Cathy C Laurie, Robert C Kaplan, Eric Boerwinkle, Bing Yu

Faculty, Staff and Student Publications

Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%-54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10

Mrub_1675, Mrub_1676, Mrub_1677, And Mrub_1679 Genes Are Orthologs Of B_3458, B_3457, B_3456, And B_3454 Genes In E. Coli, Respectively, Coding For Abc Transporters. Mrub_1678 And B_3455, Though Perform Similar Tasks, Are Not Orthologous, Ravi Patel, Alaina Hofmann, Dr. Lori Scott

Meiothermus ruber Genome Analysis Project

In this project we investigated the biological function of the genes Mrub_1675, Mrub_1676, Mrub_1677, and Mrub_1679 (KEGG map number 02010). We predict these genes encode components of a Branched chain amino acid (ABC) transporter: Mrub_1675 (DNA coordinates 1711022..1712185 on the reverse strand) encodes the permease component, Mrub_1676 (DNA coordinates 1712313..1713170) encodes for the NBD (aka nucleotide binding domain), Mrub_1677 (DNA coordinates 1713167..1714075 on the reverse strand) encodes the NBD (aka nucleotide binding domain), Mrub_1678 (DNA coordinates 1713167..1714075 on the reverse strand) encodes the TMD (aka transmembrane domain) and Mrub_1679 (DNA coordinates 1714781..1715485 on the reverse strand) encodes …

Improving The Phylogenetic Understanding Of The Genus Juniperus, Therese Balkenbush

All Master's Theses

Juniperus is a species-rich and geographically widespread genus of coniferous trees and shrubs. The genus is relatively recently diverged, and has experienced periods of rapid diversification. Recent phylogenetic investigations by others have compared DNA from selected regions of the chloroplast, but the resulting topologies conflict, and some relationships remain unresolved. Their relatively small data sets failed to capture sufficient variation to resolve events of rapid diversification in these closely related taxa. This study provides increased resolution and support by generating a plastome-scale phylogeny for 28 Juniperus species, revealing previously unresolved relationships at both deep and shallow nodes. One-third of the …

Development, Evaluation, And Application Of A Novel Error Correction Method For Next Generation Sequencing Data, Isaac Akogwu

Dissertations

Tremendous evolvement in sequencing technologies and the vast availability of data due to decreasing cost of Next-Generation-Sequencing (NGS) has availed scientists the opportunity to address a wide variety of evolutionary and biological issues. NGS uses massively parallel technology to accelerate the process at the expense of accuracy and read length in comparison to earlier Sanger methods. Therefore, computational limitations exist in how much analysis and information can be gleaned from the data without performing some form of error correction.

Error correction process is laborious and consumes a lot of computational resources. Despite the existence of many NGS data error correction …

Addressing The Black Box Phenomenon Of Genome Sequencing And Assembly, Brandon Carter

Senior Honors Projects, 2010-2019

Genomics, a study of all genetic material in an organism, is a new discipline having a great impact on medicine, agriculture, and environmental phenomena. Most undergraduate faculty members were not formally trained in genomics and must retool themselves in order to stay current with these evolving technologies. Advances in sequencing technology have resulted in an explosion of “big data” that can only be managed and analyzed using digital methods. Multiple complex computer programs are required to teach students the concepts using hands-on methods. These programs are challenging to use, especially since the same faculty members lacking genomics training were not …