Genetics and Genomics Commons^™

From Chromosomes To Precision Therapy: Clinical Cytogenetics And Cytogenomics In The Era Of Genomic Medicine, Jinglan Liu

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

No abstract provided.

Toward Interpretable Multi-Omics Multimodal Biomedical Artificial Intelligence, Yanjun Lyu

Computer Science and Engineering Dissertations

The complexity of human disease arises from biological processes that unfold across multiple scales, from molecular variation through cellular function, tissue organisation, brain phenotypes, each of which is associated with distinct measurement modalities, regularities, and characteristic. Contemporary biomedical artificial intelligence has brought the opportunity to reveal the complexity with in; however, its methodological default, in which models are trained on most readily available modality, does not adequately engage with the multi-scale connected structure by which biological meaning is constituted. The research area of multi-omics and multi-modal AI for biomedicine remains at an early exploratory stage, and the work presented in …

Generating Genomic Resources For The Pink Sundew And Its Specialist Herbivore Moth From A Single Gene To Entire Genomes, Kerissa F. Tarpley

Honors Undergraduate Theses

Genomic resources are critical for the conservation of threatened species, providing valuable insights into genetic diversity, population structure, and adaptive potential. This thesis focuses on two ecologically interconnected species: the carnivorous plant pink sundew (Drosera capillaris) and its specialist herbivore the sundew plume moth (Buckleria parvulus). The sundew and plume moth face an uncertain future as their vital bog habitats continue to disappear. The sundew plays a crucial role in the life cycle of the plume moth, which relies on the sundew during its larval stages for survival. To aid in species detections, I first generated …

A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy

School of Medical Diagnostics & Translational Sciences Publications

Human genome sequencing typically relies on mapping reads to a reference genome to call variants, but this approach introduces technical biases, excluding duplicated and structurally polymorphic regions of the genome. To overcome this, we present a telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), which were absent from prior benchmarks. We annotated genes and repeats on both haplotypes, including 19,956 protein-coding genes on the maternal haplotype and 19,190 on the paternal haplotype, and developed new methods to measure the accuracy of …

Regulation Of Chromatin Remodeling By The Post-Hsa Domain Of Brg1, A Subunit The Baf Atp-Dependent Chromatin Remodeling Complex, Min Sze Ewe

Theses & Dissertations

The ATP-dependent chromatin remodeler BAF complex regulates nucleosome positioning, chromatin accessibility, and tissue specific gene expression. Its catalytic subunit, BRG1, contains several regulatory domains including the post-HSA region, proposed to modulate ATPase activity. Multiple cancer-associated mutations map to these regulatory regions underscoring their importance, yet the precise role of the post-HSA region in chromatin remodeling remains poorly understood.

To investigate the function of the post-HSA domain, we ectopically expressed FLAG-tagged BRG1 with post-HSA deletion (Δpost-HSA BRG1) in mouse embryonic stem cells. Western blot analysis confirmed expression of the mutant protein. To determine the effects of mutant protein expression on chromatin …

Using Rattlesnake Venom To Model Complex Trait Evolution Across Ecological And Evolutionary Scales, Samuel R. Hirst

USF Tampa Graduate Theses and Dissertations

A central challenge in evolutionary biology is understanding how genetic variation leads to phenotypicdiversity, particularly for complex traits that strongly influence fitness. Traits form the substrate of natural selection, but it is genes, that are inherited across generations. To fully understand the evolutionary process, we must therefore connect the molecular basis of trait variation with the evolutionary outcomes of such traits.

For relatively simple traits, the genotype–phenotype relationship is well understood. Classic systems, such as coat color in beach mice or toxin resistance in garter snakes, have provided effective examples of how relatively few loci underlie conspicuous adaptive differences across …

Genetic Characterization And High-Resolution Total Mrna Sequencing Of The Millipede Cherokia Georgiana Bollman, 1889, Elena Cruz

Biology Theses

There are approximately 12,000 described species within the class Diplopoda. Only six species, falling within four of sixteen orders, have fully sequenced genomes. No whole genomes are available for incredibly diverse families like Xystodesmidae. Many interesting characteristics in this group are poorly defined at the genetic level, such as the production of a defensive hydrogen cyanide secretion and UV fluorescence in the order Polydesmida. Here, we present a genetic characterization of the polydesmid millipede Cherokia georgiana Bollman, 1889. We include tissue-specific sequencing metrics, alignment and assembly of mitochondrial DNA consensus sequence according to tissue type, and phylogenetic tree construction using …

Association Of Genetic Scores Related To Insulin Resistance With Neurological Outcomes In Ancestrally Diverse Cohorts From The Trans-Omics For Precision Medicine (Topmed) Program, Chloé Sarnowski, Yixin Zhang, Farah Ammous, Lincoln M. P. Shade, Daniel Dicorpo, Xueqiu Jian, Donna K. Arnett, Thomas R. Austin, John Blangero, Joanne E. Curran

School of Medicine Publications

To better characterize the potential biological mechanisms underlying insulin resistance (IR) and dementia, we derive cross-population and population specific polygenic scores [PSs] for fasting insulin and IR-related partitioned PSs [pPSs]. We conduct a cross-sectional study of the associations of these genetic scores with neurological outcomes in >17k participants (36% men, mean age 55 yrs) from the Trans-Omics for Precision Medicine (TOPMed) program (50% Non-Hispanic White, 23% Black/African American, 21% Hispanic/Latino American, and 4% Asian American). We report significant negative associations (P <  0.002) of the cross-population (P = 1.3 × 10-5) and European (PEA = 3.0 × 10-8) fasting insulin PSs with total cranial volume, and of a metabolic syndrome European PS with general cognitive function (BEA = -0.13, PEA = 0.0002) and lateral ventricular volume (BEA = 0.09, PEA = 0.002). We identify suggestive negative associations (P <  0.007) of metabolic syndrome and obesity pPSs with general cognitive function, and of lipodystrophy pPSs with total cranial volume. A higher genetic predisposition to IR is associated with lower brain size, and a genetic predisposition to specific IR-related type 2 diabetes subtypes, such as metabolic syndrome and mechanisms of IR mediated through obesity and lipodystrophy, is potentially involved in cognitive decline.

Update To: Advancing Butterfly Systematics Through Genomic Analysis, Jing Zhang, Qian Cong, Jinhui Shen, Leina Song, Nick Grishin

The Taxonomic Report of the International Lepidoptera Survey

In this update, we propose (type species or type localities in parentheses): Lochris Grishin, nom. nov. (Lasaia oileus Godman, 1903; Lepidoptera: Riodinidae) as a new substitute name for Locris Grishin, 2025 preoccupied by Locris Stål, 1866 (Cercopis rubra Fabricius, 1794; Hemiptera: Cercopidae), 5 new species, and 5 new subspecies: Emesis (Mandania) mandarina Grishin, sp. n. (Brazil: Santa Catarina) and Emesis (Mandania) mandela Grishin, sp. n. (Venezuela, Carabobo) in Riodinidae Grote, 1895 (1827); others in Hesperiidae Latreille, 1809: Telegonus (Rhabdoides) flavifimbro Grishin, sp. n. (Colombia), Urbanus (Urbanoides) dolus Grishin, sp. n. (Colombia: …

Comparative Methylation Analyses Across Juglans Species To Investigate Epigenetic Contributions To Fungal Resistance, Keertana Chagari

Honors Scholar Theses

Juglans cinerea (butternut) is a critically threatened North American tree species experiencing severe declines due to the fungal pathogen Ophiognomonia clavigignentijuglandacearum. In contrast, its Asian relative, Juglans ailantifolia (Japanese walnut), shows natural resistance. To investigate the genomic and epigenetic factors underlying this difference, we constructed and analyzed high-quality, chromosome-level genome assemblies for both species from long-read sequencing data (J. ailantifolia: 527Mb; J. cinerea: 586Mb), focusing on transposable element (TE) content, DNA methylation patterns, and regulation of pathogen resistance genes (PRGs).

Repeat analysis revealed that J. cinerea has a slightly higher overall transposable element (TE) content, with …

Elucidating The Multi-Omics Of Early-Onset Colorectal Cancer, Jumanah Alshenaifi

Dissertations and Theses (Open Access)

The incidence and mortality rates of sporadic early-onset colorectal cancer have increased in recent decades, but there is no clear etiological basis for this trend. EOCRC is commonly defined as colon and rectal cancers diagnosed before the age of 50 years. The rising incidence of EOCRC has made it the second most common cancer and the third leading cause of cancer death in this age group. The rising incidence of EOCRC is also documented internationally in more than 20 countries across different continents. Clinically, EOCRC has a distinct, more aggressive clinical profile than LOCRC. While approximately 15% of EOCRC cases …

A Stakeholder-Informed Conceptual Framework For Evaluating Genomics In Precision Oncology, Julie A. Wiedower

All Dissertations

This dissertation explores the value of genomic testing in precision oncology with an emphasis on how US payers conceptualize and prioritize elements of value. This research aims to address gaps in understanding payer perspectives and proposes a stakeholder-informed framework for evaluating genomic testing in oncology. To achieve this aim, the presented research investigates payer perspectives, value-based cancer care priorities, and the conceptual understanding of the value of a genetic diagnosis to establish a framework for value with the payer audience in mind. Chapter 1 outlines relevant background information relating to the genomic revolution and challenges in translating genomic testing technologies …

Hierarchical Lineage Tracing To Unravel Mechanisms Of Cancer Treatment Resistance, Rachel Danielle Saxe

Dartmouth College Ph.D Dissertations

Cancer cells adapt to treatment, leading to the emergence of clones that are more aggressive and resistant to anti-cancer therapies. We have a limited understanding of the development of treatment resistance as we lack technologies to map the evolution of cancer under the selective pressure of treatment. To address this, we developed a hierarchical, dynamic lineage tracing method called FLARE (Following Lineage Adaptation and Resistance Evolution). We use this technique to track the progression of acute myeloid leukemia (AML) cell lines through exposure to Cytarabine (AraC), a front-line treatment in AML, in vitro and in vivo. We map distinct cellular …

Analysis Of Chromatin Accessibility Changes In Endothelial Cells Exposed To Plastic Contaminants, Mikhail Y. Salnikov, Carly Boye, David B. Witonsky, Gabrielle Garlicki, Adnan Alazizi, Francesca Luca, Roger Pique-Regi

Medical Student Research Symposium

Degradation products from everyday plastic products are known to bioaccumulate and have also been shown to contaminate drinking water and food sources. BPA and phthalates are endocrine disrupting chemicals and plastic components that have previously been associated with endothelial cell dysfunction, atherosclerotic and other adverse cardiovascular events. However, there is a limited understanding of the mechanisms underlying these associations, such as genome-wide chromatin accessibility changes in endothelial cells exposed to these compounds. The purpose of this study is to explore genome-wide changes in chromatin accessibility associated with plastic exposure, as well as the discovery of transcription factor binding motifs dysregulated …

Sequencing In Over 50,000 Cases Identifies Coding And Structural Variation Underlying Atrial Fibrillation Risk, Seung Hoan Choi, Sean J. Jurgens, Ling Xiao, Matthew C. Hill, John Blangero, Joanne E. Curran, Ravi Duggirala, Harald Hh Goring, Michael Mahaney, Juan M. Peralta

School of Medicine Publications

Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identified associations between AF and rare structural variants owing to deletions in CTNNA3 and duplications of GATA4. We broadly replicated our findings in independent samples from MyCode, deCODE and UK Biobank. Finally, we found …

Genomic And Phenotypic Correlates Of Mosaic Loss Of Chromosome Y In Blood, Yasminka A Jakubek, Xiaolong Ma, Adrienne M Stilp, Fulong Yu, Jason Bacon, Justin W Wong, Francois Aguet, Kristin Ardlie, Donna K Arnett, Kathleen Barnes, Joshua C Bis, Tom Blackwell, Lewis C Becker, Eric Boerwinkle, Russell P Bowler, Matthew J Budoff, April P Carson, Jiawen Chen, Michael H Cho, Josef Coresh, Nancy J Cox, Paul S De Vries, Dawn L Demeo, David W Fardo, Myriam Fornage, Xiuqing Guo, Michael E Hall, Nancy Heard-Costa, Bertha Hidalgo, Marguerite Ryan Irvin, Andrew D Johnson, Eric Jorgenson, Eimear E Kenny, Michael D Kessler, Daniel Levy, Yun Li, Joao A C Lima, Yongmei Liu, Adam E Locke, Ruth J F Loos, Mitchell J Machiela, Rasika A Mathias, Braxton D Mitchell, Joanne M Murabito, Josyf C Mychaleckyj, Kari E North, Peter Orchard, Stephen C J Parker, Yash Pershad, Patricia A Peyser, Katherine A Pratte, Bruce M Psaty, Laura M Raffield, Susan Redline, Stephen S Rich, Jerome I Rotter, Sanjiv J Shah, Jennifer A Smith, Aaron P Smith, Albert Smith, Margaret A Taub, Hemant K Tiwari, Russell Tracy, Bjoernar Tuftin, Alexander G Bick, Vijay G Sankaran, Alexander P Reiner, Paul Scheet, Paul L Auer

Faculty, Staff and Student Publications

Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole-genome sequencing (WGS) of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program. We show that haplotype-based calling methods can be used with WGS data to successfully identify mLOY events. This approach enabled us to identify differences …

Small Variant Benchmark From A Complete Assembly Of X And Y Chromosomes, Justin Wagner, Nathan D Olson, Jennifer Mcdaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores, Sayed Mohammad Ebrahim Sahraeian, Giuseppe Narzisi, Marta Byrska-Bishop, Uday S Evani, Chunlin Xiao, Juniper A Lake, Peter Fontana, Craig Greenberg, Donald Freed, Mohammed Faizal Eeman Mootor, Paul C Boutros, Lisa Murray, Kishwar Shafin, Andrew Carroll, Fritz J Sedlazeck, Melissa Wilson, Justin M Zook

Faculty, Staff and Students Publications

The sex chromosomes contain complex, important genes impacting medical phenotypes, but differ from the autosomes in their ploidy and large repetitive regions. To enable technology developers along with research and clinical laboratories to evaluate variant detection on male sex chromosomes X and Y, we create a small variant benchmark set with 111,725 variants for the Genome in a Bottle HG002 reference material. We develop an active evaluation approach to demonstrate the benchmark set reliably identifies errors in challenging genomic regions and across short and long read callsets. We show how complete assemblies can expand benchmarks to difficult regions, but highlight …

Gene Model For The Ortholog Of Glys In Drosophila Simulans, Madeline L. Gruys, Madison A. Sharp, Zachary Lill, Caroline Xiong, Amy T. Hark, James J. Youngblom, Chinmay P. Rele, Laura K. Reed

Faculty Journal Articles

Gene model for the ortholog of glycogen synthase ( Glys ) in the Drosophila simulans May 2017 (Princeton ASM75419v2/DsimGB2) Genome Assembly (GenBank Accession: GCA_000754195.3 ). This ortholog was characterized as part of a developing dataset to study the evolution of the Insulin/insulin-like growth factor signaling pathway (IIS) across the genus Drosophila using the Genomics Education Partnership gene annotation protocol for Course-based Undergraduate Research Experiences.

Snake Venoms As Models For Understanding The Origins And Evolution Of Gene Regulatory Networks, Siddharth S. Gopalan

Biology Dissertations - Archive

Understanding the relationship between genotype and phenotype is a fundamental goal of biology. However, the vastly complex nature of eukaryotic gene regulation can make deriving precise relationships between genotype and phenotype challenging. The gene regulatory architecture of snake venom systems provide an opportunity to study this problem in a phenotypic system with immense variation in phenotypes and the underlying genetics. Using a set of integrated functional genomic approaches with snake venoms as a central model, in this dissertation, I provide several examples of the regulatory mechanisms by which diversity in phenotypes arises. Specifically, I identify how gene expression heterogeneity between …

From Sequencing To Conservation: Genomic Analysis Of Three Sportfish Species In West Virginia, Andrew Johnson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Situated in the Appalachian Mountains, one of the oldest mountain ranges on Earth, West Virginia waters boast rich ichthyofauna including native sportfish species walleye (Sander vitreus), largemouth bass (Micropterus nigricans), and muskellunge (Esox masquinongy). These three species are all native to the contemporary Ohio River watershed and play a major recreational and ecological role in local fisheries. Ecologically, all three species are apex predators and play a key role in ecosystems by directly influencing local fish assemblages. As dominant apex predators all three species are highly sought after in recreational fisheries with largemouth bass …

Multi-Locas Gwas Mapping And Candidate Gene Analysis Of Anticancer Peptide Lunasin In Soybean (Glycine Max L. Merr), Rikki Locklear, Jennifer Kusumah, Layla Rashad, Felicia Lugaro, Sonia Viera, Nathan Kipyego, Faith Kipkosgei, Daisy Jerop, Shirley Jacquet, Mythy Addelmajid Kassem, Jiazheng Yuan, Elvira De Mejia, Rouf Mian

Biological Sciences Faculty Publications

Soybean (Glycine max) peptide lunasin exhibits significant cancer-preventive, antioxidant, and hypocholesterolemic effects. This study aimed to identify quantitative trait nucleotides (QTNs) associated with lunasin content and to annotate the candidate genes in the soybean genome. The mapping panel of 144 accessions was gathered from the USDA Soybean Germplasm Collection, encompassing diverse geographical origins and genetic backgrounds, and was genotyped using SoySNP50K iSelect Beadchips. The lunasin content in soybean seeds was measured using the enzyme-linked immunosorbent assay (ELISA) method, with lipid-adjusted soybean flour prepared from seeds obtained from the Germplasm Resource Information Network (GRIN) of USDA-ARS in 2003 and …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …

Impacts Of Multiple Coastal Stressors Across Life-History Stages In The Eastern Oyster, Amaelia Zyck

Open Access Dissertations

Urbanized estuaries are characterized as a complex of biotic and abiotic stressors, which currently challenge marine life and are expected to intensify and become increasingly unpredictable under the ongoing impacts of climate change. The persistence of coastal species that inhabit these stressful environments will ultimately depend on their ability to adapt. Many of these species have complex life cycles, featuring distinct morphological and physiological developmental stages that can exhibit unique responses to environmental pressures. However, since all stages share the same genome, selective pressures acting on one stage can have cascading effects throughout the life cycle. The larval stage, being …

Foundation Models In Bioinformatics, Fei Guo, Renchu Guan, Yaohang Li, Qi Liu, Xiaowo Wang, Can Yang, Jianxin Wang

Computer Science Faculty Publications

With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, model evaluation and interpretability. FMs demonstrate notable proficiency in managing large-scale, unlabeled datasets, because experimental procedures are costly and labor intensive. In various downstream tasks, FMs have consistently achieved noteworthy results, demonstrating high levels of accuracy in representing biological entities. A new era in computational biology has been ushered in by the application of FMs, focusing on both general and specific biological issues. In this review, we introduce recent advancements in bioinformatics FMs …

Heterogeneous Clustering Of Multiomics Data For Breast Cancer Subgroup Classification And Detection, Joseph Pateras, Musaddiq Lodi, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

The rapid growth of diverse -omics datasets has made multiomics data integration crucial in cancer research. This study adapts the expectation–maximization routine for the joint latent variable modeling of multiomics patient profiles. By combining this approach with traditional biological feature selection methods, this study optimizes latent distribution, enabling efficient patient clustering from well-studied cancer types with reduced computational expense. The proposed optimization subroutines enhance survival analysis and improve runtime performance. This article presents a framework for distinguishing cancer subtypes and identifying potential biomarkers for breast cancer. Key insights into individual subtype expression and function were obtained through differentially expressed gene …

Transcription And 3d Chromatin Organization Interplay At Sub-Kilobase Scale, Hannah Harris

Theses & Dissertations

Nuclear compartments are prominent features of 3D chromatin organization, but sequencing depth limitations have impeded investigation at ultra fine-scale. CTCF loops are generally studied at a finer scale, but the impact of looping on proximal interactions remains enigmatic. Here, we critically examine nuclear compartments and CTCF loop-proximal interactions using a combination of in situ Hi-C at unparalleled depth, algorithm development, and biophysical modeling. Producing a large Hi-C map with 33 billion contacts in conjunction with an algorithm for performing principal component analysis on sparse, super massive matrices (POSSUMM), we resolve compartments to 500 bp. Our results demonstrate that essentially all …

Development And Evaluation Of A Training Curriculum To Engage Researchers On Accessing And Analyzing The All Of Us Data, Julie R Coleman, Jasmine N Baker, Shamika Ketkar, Ashley M Butler, Laterrica Williams, Latanya Hammonds-Odie, Elizabeth G Atkinson, Debra D Murray, Brendan Lee, Kim C Worley

Faculty, Staff and Students Publications

OBJECTIVE: The All of Us Evenings with Genetics (EwG) Research Program at Baylor College of Medicine (BCM), funded to engage research scholars to work with the All of Us data, developed a training curriculum for the Researcher Workbench, the platform to access and analyze All of Us data. All of Us EwG developed the curriculum so that it could teach scholars regardless of their skills and background in programming languages and cloud computing. All of Us EwG delivered this curriculum at the first annual All of Us EwG Faculty Summit in May 2022. The curriculum was evaluated both during and …

Large-Scale Application Of Clingen-Insight Apc-Specific Acmg/Amp Variant Classification Criteria Leads To Substantial Reduction In Vus, Xiaoyu Yin, Marcy Richardson, Andreas Laner, Xuemei Shi, Elisabet Ognedal, Valeria Vasta, Thomas V O Hansen, Marta Pineda, Deborah Ritter, Johan De Dunnen, Emadeldin Hassanin, Wencong Lyman Lin, Ester Borras, Karl Krahn, Margareta Nordling, Alexandra Martins, Khalid Mahmood, Emily Nadeau, Victoria Beshay, Carli Tops, Maurizio Genuardi, Tina Pesaran, Ian M Frayling, Gabriel Capellá, Andrew Latchford, Sean V Tavtigian, Carlo Maj, Sharon E Plon, Marc S Greenblatt, Finlay A Macrae, Isabel Spier, Stefan Aretz

Faculty, Staff and Students Publications

Pathogenic constitutional APC variants underlie familial adenomatous polyposis, the most common hereditary gastrointestinal polyposis syndrome. To improve variant classification and resolve the interpretative challenges of variants of uncertain significance (VUSs), APC-specific variant classification criteria were developed by the ClinGen-InSiGHT Hereditary Colorectal Cancer/Polyposis Variant Curation Expert Panel (VCEP) based on the criteria of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP). A streamlined algorithm using the APC-specific criteria was developed and applied to assess all APC variants in ClinVar and the International Society for Gastrointestinal Hereditary Tumours (InSiGHT) international reference APC Leiden Open Variation …

The Giab Genomic Stratifications Resource For Human Reference Genomes, Nathan Dwarshuis, Divya Kalra, Jennifer Mcdaniel, Philippe Sanio, Pilar Alvarez Jerez, Bharati Jadhav, Wenyu Eddy Huang, Rajarshi Mondal, Ben Busby, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Sina Majidian, Justin M Zook

Faculty, Staff and Students Publications

Despite the growing variety of sequencing and variant-calling tools, no workflow performs equally well across the entire human genome. Understanding context-dependent performance is critical for enabling researchers, clinicians, and developers to make informed tradeoffs when selecting sequencing hardware and software. Here we describe a set of “stratifications,” which are BED files that define distinct contexts throughout the genome. We define these for GRCh37/38 as well as the new T2T-CHM13 reference, adding many new hard-to-sequence regions which are critical for understanding performance as the field progresses. Specifically, we highlight the increase in hard-to-map and GC-rich stratifications in CHM13 relative to the …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.