Medicine and Health Sciences Commons^™

Transposable Element-Mediated Rearrangements Are Prevalent In Human Genomes., Parithi Balachandran, Isha A Walawalkar, Jacob I Flores, Jacob N Dayton, Peter A Audano, Christine R Beck

Faculty Research 2022

Transposable elements constitute about half of human genomes, and their role in generating human variation through retrotransposition is broadly studied and appreciated. Structural variants mediated by transposons, which we call transposable element-mediated rearrangements (TEMRs), are less well studied, and the mechanisms leading to their formation as well as their broader impact on human diversity are poorly understood. Here, we identify 493 unique TEMRs across the genomes of three individuals. While homology directed repair is the dominant driver of TEMRs, our sequence-resolved TEMR resource allows us to identify complex inversion breakpoints, triplications or other high copy number polymorphisms, and additional complexities. …

Adding Gene Transcripts Into Genomic Prediction Improves Accuracy And Reveals Sampling Time Dependence., Bruno C Perez, Marco C A M Bink, Karen L. Svenson, Gary Churchill, Mario P L Calus

Faculty Research 2022

Recent developments allowed generating multiple high-quality 'omics' data that could increase the predictive performance of genomic prediction for phenotypes and genetic merit in animals and plants. Here, we have assessed the performance of parametric and nonparametric models that leverage transcriptomics in genomic prediction for 13 complex traits recorded in 478 animals from an outbred mouse population. Parametric models were implemented using the best linear unbiased prediction, while nonparametric models were implemented using the gradient boosting machine algorithm. We also propose a new model named GTCBLUP that aims to remove between-omics-layer covariance from predictors, whereas its counterpart GTBLUP does not do …

Functional Genomics Of Complex Cancer Genomes., Francesca Menghi, Edison Liu

Faculty Research 2022

Cancer functional genomics is the study of how genetic, epigenetic, and transcriptional alterations affect cancer phenotypes, such as growth and therapeutic response. Here, we comment on how, taking advantage of next generation sequencing, functional genomics, often combined with systems biology approaches, has revealed novel cancer vulnerabilities beyond the original paradigm of one gene-one phenotype.

A Standardized Nomenclature For Mammalian Histone Genes., Ruth L Seal, Paul Denny, Elspeth A Bruford, Anna K Gribkova, David Landsman, William F Marzluff, Monica Mcandrews, Anna R Panchenko, Alexey K Shaytan, Paul B Talbert

Faculty Research 2022

Histones have a long history of research in a wide range of species, leaving a legacy of complex nomenclature in the literature. Community-led discussions at the EMBO Workshop on Histone Variants in 2011 resulted in agreement amongst experts on a revised systematic protein nomenclature for histones, which is based on a combination of phylogenetic classification and historical symbol usage. Human and mouse histone gene symbols previously followed a genome-centric system that was not applicable across all vertebrate species and did not reflect the systematic histone protein nomenclature. This prompted a collaboration between histone experts, the Human Genome Organization (HUGO) Gene …

Jackie: Fast Enumeration Of Genome-Wide Single- And Multicopy Crispr Target Sites And Their Off-Target Numbers., Jacqueline Jufen Zhu, Albert Cheng

Faculty Research 2022

Zinc finger protein-, transcription activator like effector-, and CRISPR-based methods for genome and epigenome editing and imaging have provided powerful tools to investigate functions of genomes. Targeting sequence design is vital to the success of these experiments. Although existing design software mainly focus on designing target sequence for specific elements, we report here the implementation of Jackie and Albert's Comprehensive K-mer Instances Enumerator (JACKIE), a suite of software for enumerating all single- and multicopy sites in the genome that can be incorporated for genome-scale designs as well as loaded onto genome browsers alongside other tracks for convenient web-based graphic-user-interface-enabled design. …

A Research Agenda To Support The Development And Implementation Of Genomics-Based Clinical Informatics Tools And Resources., Ken Wiley, Laura Findley, Madison Goldrich, Tejinder K Rakhra-Burris, Ana Stevens, Pamela Williams, Carol J Bult, Rex Chisholm, Patricia Deverka, Geoffrey S Ginsburg, Eric D Green, Gail Jarvik, George A Mensah, Erin Ramos, Mary V Relling, Dan M Roden, Robb Rowley, Gil Alterovitz, Samuel Aronson, Lisa Bastarache, James J Cimino, Erin L Crowgey, Guilherme Del Fiol, Robert R Freimuth, Mark A Hoffman, Janina Jeff, Kevin Johnson, Kensaku Kawamoto, Subha Madhavan, Eneida A Mendonca, Lucila Ohno-Machado, Siddharth Pratap, Casey Overby Taylor, Marylyn D Ritchie, Nephi Walton, Chunhua Weng, Teresa Zayas-Cabán, Teri A Manolio, Marc S Williams

Faculty Research 2022

OBJECTIVE: The Genomic Medicine Working Group of the National Advisory Council for Human Genome Research virtually hosted its 13th genomic medicine meeting titled "Developing a Clinical Genomic Informatics Research Agenda". The meeting's goal was to articulate a research strategy to develop Genomics-based Clinical Informatics Tools and Resources (GCIT) to improve the detection, treatment, and reporting of genetic disorders in clinical settings.

MATERIALS AND METHODS: Experts from government agencies, the private sector, and academia in genomic medicine and clinical informatics were invited to address the meeting's goals. Invitees were also asked to complete a survey to assess important considerations needed to …

Recurrent Inversion Polymorphisms In Humans Associate With Genetic Instability And Genomic Disorders., David Porubsky, Wolfram Höps, Hufsah Ashraf, Pinghsun Hsieh, Bernardo Rodriguez-Martin, Feyza Yilmaz, Jana Ebler, Pille Hallast, Flavia Angela Maria Maggiolini, William T Harvey, Barbara Henning, Peter A Audano, David S Gordon, Peter Ebert, Patrick Hasenfeld, Eva Benito, Qihui Zhu, Charles Lee, Francesca Antonacci, Matthias Steinrücken, Christine R Beck, Ashley D Sanders, Tobias Marschall, Evan E Eichler, Jan O Korbel

Faculty Research 2022

Unlike copy number variants (CNVs), inversions remain an underexplored genetic variation class. By integrating multiple genomic technologies, we discover 729 inversions in 41 human genomes. Approximately 85% of inversionsretrotransposition; 80% of the larger inversions are balanced and affect twice as many nucleotides as CNVs. Balanced inversions show an excess of common variants, and 72% are flanked by segmental duplications (SDs) or retrotransposons. Since flanking repeats promote non-allelic homologous recombination, we developed complementary approaches to identify recurrent inversion formation. We describe 40 recurrent inversions encompassing 0.6% of the genome, showing inversion rates up to 2.7 × 10

Super-Resolution Visualization Of Chromatin Loop Folding In Human Lymphoblastoid Cells Using Interferometric Photoactivated Localization Microscopy., Zofia Parteka-Tojek, Jacqueline Jufen Zhu, Byoungkoo Lee, Karolina Jodkowska, Ping Wang, Jesse Aaron, Teng-Leong Chew, Krzysztof Banecki, Dariusz Plewczynski, Yijun Ruan

Faculty Research 2022

The three-dimensional (3D) genome structure plays a fundamental role in gene regulation and cellular functions. Recent studies in 3D genomics inferred the very basic functional chromatin folding structures known as chromatin loops, the long-range chromatin interactions that are mediated by protein factors and dynamically extruded by cohesin. We combined the use of FISH staining of a very short (33 kb) chromatin fragment, interferometric photoactivated localization microscopy (iPALM), and traveling salesman problem-based heuristic loop reconstruction algorithm from an image of the one of the strongest CTCF-mediated chromatin loops in human lymphoblastoid cells. In total, we have generated thirteen good quality images …

Mako: A Graph-Based Pattern Growth Approach To Detect Complex Structural Variants., Jiadong Lin, Xiaofei Yang, Walter Kosters, Tun Xu, Yanyan Jia, Songbo Wang, Qihui Zhu, Mallory Ryan, Li Guo, Chengsheng Zhang, The Human Genome Structural Variation Consortium, Charles Lee, Scott E Devine, Evan E Eichler, Kai Ye

Faculty Research 2022

Complex structural variants (CSVs) are genomic alterations that have more than two breakpoints and are considered as the simultaneous occurrence of simple structural variants. However, detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy. As a result, there has been limited progress for CSV discovery compared with simple structural variants. Here, we systematically analyzed the multi-breakpoint connection feature of CSVs, and proposed Mako, utilizing a bottom-up guided model-free strategy, to detect CSVs from paired-end short-read sequencing. Specifically, we implemented a graph-based pattern growth approach, where the graph depicts potential breakpoint connections, and pattern growth …