Genetics and Genomics Commons^™

The Influence Of Genes On The Migratory Timing Of Great Reed Warblers, Emily Fackler

Honors Undergraduate Theses

Many organisms migrate; however, there is a lack of knowledge on the mechanisms that drive migration timing, including which genes play a role. The great reed warbler (Acrocephalus arundinaceus), a migratory bird that breeds in Eurasia and overwinters in sub-Saharan Africa, is an excellent model to study the genetics of migration. Each season, some individuals migrate early, whereas others migrate later in the season. In other words, they exhibit differences in their migratory chronotypes. Past research has identified three candidate genes (TOP1, PEAK1, and CPNE4) that influence the migratory chronotypes of another avian species, …

Personalized Molecular Therapies For Advanced Non-Small Cell Lung Cancer: Overcoming Heterogeneity To Optimize Treatment Response And Clinical Outcomes, Zuan-Fu Lim

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lung cancer remains one of the deadliest cancers. Novel, paradigm shifting treatments including immunotherapy and targeted therapies have recently been developed to cull the deadly effects of lung cancer, but many challenges remain. There remains a significant unmet need to accurately predict and optimally select for patients who will respond to immune checkpoint inhibitors (ICI) treatment. In Chapter 2 of this dissertation, we investigated a novel live single cell cytokine profiling lab-on-chip platform, IsoLight, using peripheral CD4+ and CD8+ T-cells for ICI biomarker development. A total of 55,175 single T-lymphocytes were analyzed in this proof-of-concept study. We found that an …

Improved Sequence Mapping Using A Complete Reference Genome And Lift-Over, Nae-Chyun Chen, Luis F Paulin, Fritz J Sedlazeck, Sergey Koren, Adam M Phillippy, Ben Langmead

Faculty, Staff and Students Publications

Complete, telomere-to-telomere genome assemblies promise improved analyses and the discovery of new variants, but many essential genomic resources remain associated with older reference genomes. Thus, there is a need to translate genomic features and read alignments between references. Here we describe a new method called levioSAM2 that accounts for reference changes and performs fast and accurate lift-over between assemblies using a whole-genome map. In addition to enabling the use of multiple references, we demonstrate that aligning reads to a high-quality reference (e.g. T2T-CHM13) and lifting to an older reference (e.g. GRCh38) actually improves the accuracy of the resulting variant calls …

Inference Of Phylogenetic Trees Directly From Raw Sequencing Reads Using Read2tree, David Dylus, Adrian Altenhoff, Sina Majidian, Fritz J Sedlazeck, Christophe Dessimoz

Faculty, Staff and Students Publications

Current methods for inference of phylogenetic trees require running complex pipelines at substantial computational and labor costs, with additional constraints in sequencing coverage, assembly and annotation quality, especially for large datasets. To overcome these challenges, we present Read2Tree, which directly processes raw sequencing reads into groups of corresponding genes and bypasses traditional steps in phylogeny inference, such as genome assembly, annotation and all-versus-all sequence comparisons, while retaining accuracy. In a benchmark encompassing a broad variety of datasets, Read2Tree is 10-100 times faster than assembly-based approaches and in most cases more accurate-the exception being when sequencing coverage is high and reference …

Investigating The Impact Of Transcription On Mutation Rates, Sarah Patterson

Theses and Dissertations

tRNA genes are highly transcribed and perform one of the most fundamental cellular functions. Although a universal pattern observed across all three domains of life is that highly transcribed genes tend to evolve slowly, tRNA genes have been shown previously to evolve rapidly. This rapid sequence evolution could result from relaxed selection, increased mutation rate, or a combination of both. Here, we use mutation-accumulation line sequencing data to show that tRNA genes accumulate more mutations than other gene types. Our results indicate that this elevated mutation rate is a consequence of both elevated transcription-associated mutagenesis and a lack of transcription-coupled …

Whole Genome Analysis Of Snv And Indel Polymorphism In Common Marmosets (Callithrix Jacchus), R Alan Harris, Muthuswamy Raveendran, Wes Warren, Hillier W Ladeana, Chad Tomlinson, Tina Graves-Lindsay, Richard E Green, Jenna K Schmidt, Julia C Colwell, Allison T Makulec, Shelley A Cole, Ian H Cheeseman, Corinna N Ross, Saverio Capuano, Evan E Eichler, Jon E Levine, Jeffrey Rogers

Faculty, Staff and Students Publications

The common marmoset (Callithrix jacchus) is one of the most widely used nonhuman primate models of human disease. Owing to limitations in sequencing technology, early genome assemblies of this species using short-read sequencing suffered from gaps. In addition, the genetic diversity of the species has not yet been adequately explored. Using long-read genome sequencing and expert annotation, we generated a high-quality genome resource creating a 2.898 Gb marmoset genome in which most of the euchromatin portion is assembled contiguously (contig N50 = 25.23 Mbp, scaffold N50 = 98.2 Mbp). We then performed whole genome sequencing on 84 marmosets …

Type 2 Diabetes Modifies The Association Of Cad Genomic Risk Variants With Subclinical Atherosclerosis, Natalie R Hasbani, Kenneth E Westerman, Soo Heon Kwak, Han Chen, Xihao Li, Daniel Di Corpo, Jennifer Wessel, Joshua C Bis, Chloè Sarnowski, Peitao Wu, Lawrence F Bielak, Xiuqing Guo, Nancy Heard-Costa, Gregory L Kinney, Michael C Mahaney, May E Montasser, Nicholette D Palmer, Laura M Raffield, James G Terry, Lisa R Yanek, Jessica Bon, Donald W Bowden, Jennifer A Brody, Ravindranath Duggirala, David R Jacobs, Rita R Kalyani, Leslie A Lange, Braxton D Mitchell, Jennifer A Smith, Kent D Taylor, April P Carson, Joanne E Curran, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Richard A Gibbs, Namrata Gupta, Sharon L R Kardia, Brian G Kral, Zeineen Momin, Anne B Newman, Wendy S Post, Karine A Viaud-Martinez, Kendra A Young, Lewis C Becker, Alain G Bertoni, John Blangero, John J Carr, Katherine Pratte, Bruce M Psaty, Stephen S Rich, Joseph C Wu, Rajeev Malhotra, Patricia A Peyser, Alanna C Morrison, Ramachandran S Vasan, Xihong Lin, Jerome I Rotter, James B Meigs, Alisa K Manning, Paul S De Vries

Faculty, Staff and Student Publications

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 …

Complex Evolutionary History With Extensive Ancestral Gene Flow In An African Primate Radiation, Axel Jensen, Frances Swift, Dorien De Vries, Robin M D Beck, Lukas F K Kuderna, Sascha Knauf, Idrissa S Chuma, Julius D Keyyu, Andrew C Kitchener, Kyle Farh, Jeffrey Rogers, Tomas Marques-Bonet, Kate M Detwiler, Christian Roos, Katerina Guschanski

Faculty, Staff and Students Publications

Understanding the drivers of speciation is fundamental in evolutionary biology, and recent studies highlight hybridization as an important evolutionary force. Using whole-genome sequencing data from 22 species of guenons (tribe Cercopithecini), one of the world's largest primate radiations, we show that rampant gene flow characterizes their evolutionary history and identify ancient hybridization across deeply divergent lineages that differ in ecology, morphology, and karyotypes. Some hybridization events resulted in mitochondrial introgression between distant lineages, likely facilitated by cointrogression of coadapted nuclear variants. Although the genomic landscapes of introgression were largely lineage specific, we found that genes with immune functions were overrepresented …

A Single Cell Genomics Atlas Of The Drosophila Larval Eye Reveals Distinct Photoreceptor Developmental Timelines, Komal Kumar Bollepogu Raja, Kelvin Yeung, Yoon-Kyung Shim, Yumei Li, Rui Chen, Graeme Mardon

Faculty, Staff and Students Publications

The Drosophila eye is a powerful model system to study the dynamics of cell differentiation, cell state transitions, cell maturation, and pattern formation. However, a high-resolution single cell genomics resource that accurately profiles all major cell types of the larval eye disc and their spatiotemporal relationships is lacking. Here, we report transcriptomic and chromatin accessibility data for all known cell types in the developing eye. Photoreceptors appear as strands of cells that represent their dynamic developmental timelines. As photoreceptor subtypes mature, they appear to assume a common transcriptomic profile that is dominated by genes involved in axon function. We identify …

The Detection Of Putative Recessive Lethal Haplotypes In Irish Sheep Populations, Rory Mcauley

ORBioM (Open Research BioSciences Meeting)

In livestock populations, recessive lethal alleles are a known contributor to poor reproductive performance due to embryonic death in homozygous individuals. Despite their lethal effect in the recessive form, these alleles may be maintained at high frequencies among carrier animals because of their positive pleiotropic effects on economically important traits. Although several such recessive alleles have been identified in cattle and pig populations, limited studies have been completed in sheep, and none within Irish sheep populations. Genotype data for 69,034 animals from five major Irish sheep breeds genotyped on a variety of panels was available for this study. Only animals …

Genomic Variant Benchmark: If You Cannot Measure It, You Cannot Improve It, Sina Majidian, Daniel Paiva Agustinho, Chen-Shan Chin, Fritz J Sedlazeck, Medhat Mahmoud

Faculty, Staff and Students Publications

Genomic benchmark datasets are essential to driving the field of genomics and bioinformatics. They provide a snapshot of the performances of sequencing technologies and analytical methods and highlight future challenges. However, they depend on sequencing technology, reference genome, and available benchmarking methods. Thus, creating a genomic benchmark dataset is laborious and highly challenging, often involving multiple sequencing technologies, different variant calling tools, and laborious manual curation. In this review, we discuss the available benchmark datasets and their utility. Additionally, we focus on the most recent benchmark of genes with medical relevance and challenging genomic complexity.

Views Of Adolescents And Young Adults With Cancer And Their Oncologists Toward Patients' Participation In Genomic Research, Amanda M Gutierrez, Jill O Robinson, Robin Raesz-Martinez, Isabel Canfield, Mary A Majumder, Sarah Scollon, Lauren R Desrosiers, Rebecca L Hsu, Wendy Allen-Rhoades, D Williams Parsons, Sharon E Plon, Amy L Mcguire, Janet Malek

Faculty, Staff and Students Publications

Purpose:

With increased use of genomic testing in cancer research and clinical care, it is important to understand the perspectives and decision-making preferences of adolescents and young adults (AYAs) with cancer and their treating oncologists.

Methods:

We conducted an interview substudy of the BASIC3 Study, which enrolled newly diagnosed cancer patients <18 years of age with assent. Of 32 young adults (YAs) with cancer who reached the age of majority (AOM; 18 years) while on study, 12 were successfully approached and all consented to study continuation at AOM. Of those, seven completed an interview. Patients' oncologists, who enrolled and participated in return of clinical genomic results, were also interviewed (n = 12). Interviews were transcribed, deidentified, and analyzed using thematic analysis.

Results:

YAs cited the possibility of helping others and advancing science as major reasons for their assent to initial study enrollment and their willingness to consent at AOM. YAs thought obtaining informed consent from research participants for …

Challenges In Genetic Counseling In Hereditary Cancer Syndromes In A Mexican Oncologic Center, Diana Cristina Perez-Ibave, Diana Cristina De Lourdes Perez Ibave, María Fernanda Noriega-Iriondo, Omar Alejandro Zayas-Villanueva, Fernando Alcorta-Nuñez, Juan Francisco González-Guerrero, Adelina Alcorta-Garza, David Hernandez-Barajas, Oscar Vidal-Gutierrez, Carlos Horacio Burciaga-Flores

Research Symposium

Background: In Mexico, hereditary cancer is underdiagnosed, medical geneticists give genetic counseling, but the access is limited due to the socio-economic characteristics of the population. The CUCC (Centro Universitario Contra el Cáncer) Early Cancer Detection Clinic (CECIL) created a model in which patients without cancer are enrolled in a prevention cancer screening program.

Methods: From 2016 to 2021, 3014 patients were enrolled in the prevention program. Patients were evaluated with a hereditary cancer risk survey before a consultation. Those with at least one familial hereditary risk positive answer were assessed in a consultation. We also included patients with cancer diagnoses …

A Proteogenomics Data-Driven Knowledge Base Of Human Cancer, Yuxing Liao, Sara R Savage, Yongchao Dou, Zhiao Shi, Xinpei Yi, Wen Jiang, Jonathan T Lei, Bing Zhang

Faculty, Staff and Students Publications

By combining mass-spectrometry-based proteomics and phosphoproteomics with genomics, epi-genomics, and transcriptomics, proteogenomics provides comprehensive molecular characterization of cancer. Using this approach, the Clinical Proteomic Tumor Analysis Consortium (CPTAC) has characterized over 1,000 primary tumors spanning 10 cancer types, many with matched normal tissues. Here, we present LinkedOmicsKB, a proteogenomics data-driven knowledge base that makes consistently processed and systematically precomputed CPTAC pan-cancer proteogenomics data available to the public through ∼40,000 gene-, protein-, mutation-, and phenotype-centric web pages. Visualization techniques facilitate efficient exploration and reasoning of complex, interconnected data. Using three case studies, we illustrate the practical utility of LinkedOmicsKB in providing …

A Multicenter Analysis Of Abnormal Chromosomal Microarray Findings In Congenital Heart Disease, Benjamin J Landis, Lindsey R Helvaty, Gabrielle C Geddes, Jiuann-Huey Ivy Lin, Svetlana A Yatsenko, Cecilia W Lo, William L Border, Stephanie Burns Wechsler, Chaya N Murali, Mahshid S Azamian, Seema R Lalani, Robert B Hinton, Vidu Garg, Kim L Mcbride, Jennelle C Hodge, Stephanie M Ware

Faculty, Staff and Students Publications

Background

Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing cardiac phenotypes in patients with CMA abnormalities have been inconsistent, which may complicate clinical interpretation of abnormal testing results and hinder a more complete understanding of genotype–phenotype relationships.

Methods and Results

Patients with CHD and abnormal clinical CMA were accrued from 9 pediatric cardiac centers. Highly detailed cardiac phenotypes were systematically classified and analyzed for their association with CMA abnormality. Hierarchical classification of each patient into 1 CHD category facilitated broad analyses. Inclusive classification allowing multiple CHD types per …

Collagene Enables Privacy-Aware Federated And Collaborative Genomic Data Analysis, Wentao Li, Miran Kim, Kai Zhang, Han Chen, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

Growing regulatory requirements set barriers around genetic data sharing and collaborations. Moreover, existing privacy-aware paradigms are challenging to deploy in collaborative settings. We present COLLAGENE, a tool base for building secure collaborative genomic data analysis methods. COLLAGENE protects data using shared-key homomorphic encryption and combines encryption with multiparty strategies for efficient privacy-aware collaborative method development. COLLAGENE provides ready-to-run tools for encryption/decryption, matrix processing, and network transfers, which can be immediately integrated into existing pipelines. We demonstrate the usage of COLLAGENE by building a practical federated GWAS protocol for binary phenotypes and a secure meta-analysis protocol. COLLAGENE is available at https://zenodo.org/record/8125935 …

Phasedancer: A Novel Targeted Assembler Of Segmental Duplications Unravels The Complexity Of The Human Chromosome 2 Fusion Going From 48 To 46 Chromosomes In Hominin Evolution, Barbara Poszewiecka, Krzysztof Gogolewski, Justyna A Karolak, Paweł Stankiewicz, Anna Gambin

Faculty, Staff and Students Publications

Resolving complex genomic regions rich in segmental duplications (SDs) is challenging due to the high error rate of long-read sequencing. Here, we describe a targeted approach with a novel genome assembler PhaseDancer that extends SD-rich regions of interest iteratively. We validate its robustness and efficiency using a golden-standard set of human BAC clones and in silico-generated SDs with predefined evolutionary scenarios. PhaseDancer enables extension of the incomplete complex SD-rich subtelomeric regions of Great Ape chromosomes orthologous to the human chromosome 2 (HSA2) fusion site, informing a model of HSA2 formation and unravelling the evolution of human and Great Ape genomes.

The Complete Sequence Of A Human Y Chromosome, Arang Rhie, Sergey Nurk, Monika Cechova, Savannah J Hoyt, Dylan J Taylor, Nicolas Altemose, Paul W Hook, Sergey Koren, Mikko Rautiainen, Ivan A Alexandrov, Jamie Allen, Mobin Asri, Andrey V Bzikadze, Nae-Chyun Chen, Chen-Shan Chin, Mark Diekhans, Paul Flicek, Giulio Formenti, Arkarachai Fungtammasan, Carlos Garcia Giron, Erik Garrison, Ariel Gershman, Jennifer L Gerton, Patrick G S Grady, Andrea Guarracino, Leanne Haggerty, Reza Halabian, Nancy F Hansen, Robert Harris, Gabrielle A Hartley, William T Harvey, Marina Haukness, Jakob Heinz, Thibaut Hourlier, Robert M Hubley, Sarah E Hunt, Stephen Hwang, Miten Jain, Rupesh K Kesharwani, Alexandra P Lewis, Heng Li, Glennis A Logsdon, Julian K Lucas, Wojciech Makalowski, Christopher Markovic, Fergal J Martin, Ann M Mc Cartney, Rajiv C Mccoy, Jennifer Mcdaniel, Brandy M Mcnulty, Paul Medvedev, Alla Mikheenko, Katherine M Munson, Terence D Murphy, Hugh E Olsen, Nathan D Olson, Luis F Paulin, David Porubsky, Tamara Potapova, Fedor Ryabov, Steven L Salzberg, Michael E G Sauria, Fritz J Sedlazeck, Kishwar Shafin, Valery A Shepelev, Alaina Shumate, Jessica M Storer, Likhitha Surapaneni, Angela M Taravella Oill, Françoise Thibaud-Nissen, Winston Timp, Marta Tomaszkiewicz, Mitchell R Vollger, Brian P Walenz, Allison C Watwood, Matthias H Weissensteiner, Aaron M Wenger, Melissa A Wilson, Samantha Zarate, Yiming Zhu, Justin M Zook, Evan E Eichler, Rachel J O'Neill, Michael C Schatz, Karen H Miga, Kateryna D Makova, Adam M Phillippy

Faculty, Staff and Students Publications

The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure including long palindromes, tandem repeats, and segmental duplications1–3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029 base pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the …

Proteogenomic Data And Resources For Pan-Cancer Analysis, Yize Li, Yongchao Dou, Felipe Da Veiga Leprevost, Yifat Geffen, Anna P Calinawan, François Aguet, Yo Akiyama, Shankara Anand, Chet Birger, Song Cao, Rekha Chaudhary, Padmini Chilappagari, Marcin Cieslik, Antonio Colaprico, Daniel Cui Zhou, Corbin Day, Marcin J Domagalski, Myvizhi Esai Selvan, David Fenyö, Steven M Foltz, Alicia Francis, Tania Gonzalez-Robles, Zeynep H Gümüş, David Heiman, Michael Holck, Runyu Hong, Yingwei Hu, Eric J Jaehnig, Jiayi Ji, Wen Jiang, Lizabeth Katsnelson, Karen A Ketchum, Robert J Klein, Jonathan T Lei, Wen-Wei Liang, Yuxing Liao, Caleb M Lindgren, Weiping Ma, Lei Ma, Michael J Maccoss, Fernanda Martins Rodrigues, Wilson Mckerrow, Ngoc Nguyen, Robert Oldroyd, Alexander Pilozzi, Pietro Pugliese, Boris Reva, Paul Rudnick, Kelly V Ruggles, Dmitry Rykunov, Sara R Savage, Michael Schnaubelt, Tobias Schraink, Zhiao Shi, Deepak Singhal, Xiaoyu Song, Erik Storrs, Nadezhda V Terekhanova, Ratna R Thangudu, Mathangi Thiagarajan, Liang-Bo Wang, Joshua M Wang, Ying Wang, Bo Wen, Yige Wu, Matthew A Wyczalkowski, Yi Xin, Lijun Yao, Xinpei Yi, Hui Zhang, Qing Zhang, Maya Zuhl, Gad Getz, Li Ding, Alexey I Nesvizhskii, Pei Wang, Ana I Robles, Bing Zhang, Samuel H Payne

Faculty, Staff and Students Publications

The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry …

Strategies For The Genomic Analysis Of Admixed Populations, Taotao Tan, Elizabeth G Atkinson

Faculty, Staff and Students Publications

Admixed populations constitute a large portion of global human genetic diversity, yet they are often left out of genomics analyses. This exclusion is problematic, as it leads to disparities in the understanding of the genetic structure and history of diverse cohorts and the performance of genomic medicine across populations. Admixed populations have particular statistical challenges, as they inherit genomic segments from multiple source populations-the primary reason they have historically been excluded from genetic studies. In recent years, however, an increasing number of statistical methods and software tools have been developed to account for and leverage admixture in the context of …

Genotype Error Due To Low-Coverage Sequencing Induces Uncertainty In Polygenic Scoring, Ella Petter, Yi Ding, Kangcheng Hou, Arjun Bhattacharya, Alexander Gusev, Noah Zaitlen, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Polygenic scores (PGSs) have emerged as a standard approach to predict phenotypes from genotype data in a wide array of applications from socio-genomics to personalized medicine. Traditional PGSs assume genotype data to be error-free, ignoring possible errors and uncertainties introduced from genotyping, sequencing, and/or imputation. In this work, we investigate the effects of genotyping error due to low coverage sequencing on PGS estimation. We leverage SNP array and low-coverage whole-genome sequencing data (lcWGS, median coverage 0.04×) of 802 individuals from the Dana-Farber PROFILE cohort to show that PGS error correlates with sequencing depth (p = 1.2 × 10

Anything But Bland: Uncovering The Hidden Diversity And Genomic Origin Of The Threatened Vanilla Spice, Paige Ellestad

Boise State University Theses and Dissertations

Conserving the genetic diversity of crop species and their wild relatives has become a mounting concern as the detrimental effects of climate change, habitat destruction, and genetic erosion are being realized. In this epoch of unprecedented biodiversity loss, the genetic resources needed to improve crops may be at risk of extinction. Even one of the most iconic spices, vanilla, is threatened. Wild populations of the main vanilla producing species, Vanilla planifolia Andrews (Orchidaceae), are being rapidly extirpated due to deforestation and illegal harvesting in their native range. On top of that, clonal propagation methods within cultivated plants are hypothesized to …

Characterization Of The Immunoglobulin Lambda Chain Across Diverse Human Populations., William Gibson

Electronic Theses and Dissertations

The adaptive immune system relies on a diverse set of over one hundred immunoglobulin (IG) genes across three genomic loci that are variably combined to form antibodies (Ab). The IG Lambda locus is one of two loci which encodes the IG light chain. The complexity of the IGL locus severely limits the effective use of standard short-read sequencing, limiting our knowledge of population diversity in these loci. We leveraged single molecule real-time (SMRT) long-read sequencing in conjunction with IGL-targeted DNA capture to develop the method IG-Cap for accurate and high-throughput sequencing of the IGL locus. We benchmarked this method using …

Multiscale Analysis Of Pangenomes Enables Improved Representation Of Genomic Diversity For Repetitive And Clinically Relevant Genes, Chen-Shan Chin, Sairam Behera, Asif Khalak, Fritz J Sedlazeck, Peter H Sudmant, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, across many human genomes. We present a PanGenome Research Tool Kit (PGR-TK) enabling analyses of complex pangenome structural and haplotype variation at multiple scales. We apply the graph decomposition methods in PGR-TK to the class II major histocompatibility complex demonstrating the importance of the human pangenome for analyzing complicated regions. Moreover, we investigate the Y-chromosome genes, DAZ1/DAZ2/DAZ3/DAZ4, of which structural variants have been linked to …

Genomic Landscape Of Down Syndrome-Associated Acute Lymphoblastic Leukemia, Zhenhua Li, Ti-Cheng Chang, Jacob J Junco, Meenakshi Devidas, Yizhen Li, Wenjian Yang, Xin Huang, Dale J Hedges, Zhongshan Cheng, Mary Shago, Andrew J Carroll, Nyla A Heerema, Julie Gastier-Foster, Brent L Wood, Michael J Borowitz, Lauren Sanclemente, Elizabeth A Raetz, Stephen P Hunger, Eleanor Feingold, Tracie C Rosser, Stephanie L Sherman, Mignon L Loh, Charles G Mullighan, Jiyang Yu, Gang Wu, Philip J Lupo, Karen R Rabin, Jun J Yang

Faculty, Staff and Students Publications

Trisomy 21, the genetic cause of Down syndrome (DS), is the most common congenital chromosomal anomaly. It is associated with a 20-fold increased risk of acute lymphoblastic leukemia (ALL) during childhood and results in distinctive leukemia biology. To comprehensively define the genomic landscape of DS-ALL, we performed whole-genome sequencing and whole-transcriptome sequencing (RNA-Seq) on 295 cases. Our integrated genomic analyses identified 15 molecular subtypes of DS-ALL, with marked enrichment of CRLF2-r, IGH::IGF2BP1, and C/EBP altered (C/EBPalt) subtypes compared with 2257 non-DS-ALL cases. We observed abnormal activation of the CEBPD, CEBPA, and CEBPE genes in 10.5% of DS-ALL cases via a …

Tumor Biology And Immune Infiltration Define Primary Liver Cancer Subsets Linked To Overall Survival After Immunotherapy, Anuradha Budhu, Erica C Pehrsson, Aiwu He, Lipika Goyal, Robin Kate Kelley, Hien Dang, Changqing Xie, Cecilia Monge, Mayank Tandon, Lichun Ma, Mahler Revsine, Laura Kuhlman, Karen Zhang, Islam Baiev, Ryan Lamm, Keyur Patel, David E Kleiner, Stephen M Hewitt, Bao Tran, Jyoti Shetty, Xiaolin Wu, Yongmei Zhao, Tsai-Wei Shen, Sulbha Choudhari, Yuliya Kriga, Kris Ylaya, Andrew C Warner, Elijah F Edmondson, Marshonna Forgues, Tim F Greten, Xin Wei Wang

Kimmel Cancer Center Faculty Papers

Primary liver cancer is a rising cause of cancer deaths in the US. Although immunotherapy with immune checkpoint inhibitors induces a potent response in a subset of patients, response rates vary among individuals. Predicting which patients will respond to immune checkpoint inhibitors is of great interest in the field. In a retrospective arm of the National Cancer Institute Cancers of the Liver: Accelerating Research of Immunotherapy by a Transdisciplinary Network (NCI-CLARITY) study, we use archived formalin-fixed, paraffin-embedded samples to profile the transcriptome and genomic alterations among 86 hepatocellular carcinoma and cholangiocarcinoma patients prior to and following immune checkpoint inhibitor treatment. …

Assessing Genomic Literacy In Advanced Practice Nursing Students Before And After An Intervention, Guiselle Palomera

Doctor of Nursing Practice Final Manuscripts

Introduction

The purpose of this evidence-based Doctor of Nursing Practice (DNP) project was to examine genetics and genomics literacy in advanced practice nursing students before and after an intervention.

Background

As genomics continue to play an emerging role in healthcare, and advancements are introduced into clinical practice, it is critical that nurses be competent in genetics and genomics concepts. There is a fundamental need to incorporate genomics education into nursing school curriculum. However, studies have shown that the majority of faculty across nursing schools in the United States are ill-equipped to teach genetics and genomics concepts. Furthermore, many interventions to …

The Ethics Of Governance Of Data Analytics In Healthcare, Andrew Harrington

Electronic Theses and Dissertations

Recent literature and studies on data governance usually focus on data ethics and governance from a specific country or industry, which has been mostly business, without considering the larger global impact that is affected. Data is a worldwide asset; thus, its implications and considerations should be viewed as such. Hence, this dissertation attempts to incorporate this view by weaving together topics in healthcare, such as the blending of finance and delivery, data governance at the micro and macro levels, data analytics in healthcare, ethics of AI and information management, and technology’s impact on end-of-life practices. Through highlighting these areas of …

The Genomics Of Autism-Related Genes Il1rapl1 And Il1rapl2: Insights Into Their Cortical Distribution, Cell-Type Specificity, And Developmental Trajectories, Jacob Weaver

MUSC Theses and Dissertations

Neuropsychiatric disorders have a significant impact on modern society. These disorders affect a large percentage of the population: schizophrenia has a world-wide prevalence of 1% and autism spectrum disorders (ASD) affects 1 in 59 school-aged children in the US. There is substantial evidence that most neuropsychiatric disorders have a genetic component. Thus, with the advent of high throughput sequencing much effort has gone into identifying genetic variants associated with these disorders. The emerging picture from these studies is a complex one where hundreds of genes with small effects interact with a varied landscape of common variants to result in disease. …

Familial Hypercholesterolemia In The Electronic Medical Records And Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, And Outcomes After Return Of Results, Ozan Dikilitas, Alborz Sherafati, Seyedmohammad Saadatagah, Benjamin A Satterfield, David C Kochan, Katherine C Anderson, Wendy K Chung, Scott J Hebbring, Zachary M Salvati, Richard R Sharp, Amy C Sturm, Richard A Gibbs, Robb Rowley, Eric Venner, Jodell E Linder, Laney K Jones, Emma F Perez, Josh F Peterson, Gail P Jarvik, Heidi L Rehm, Hana Zouk, Dan M Roden, Marc S Williams, Teri A Manolio, Iftikhar J Kullo

Faculty, Staff and Students Publications

BACKGROUND: The implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network.

METHODS: Adult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including

RESULTS: The prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The …