Life Sciences Commons^™

Impact Of Fads Genotype On Polyunsaturated Fatty Acid Content In Human Milk Extracellular Vesicles: A Genetic Association Study, John J. Miklavcic, Natalie Paterson, Jennifer Hahn-Holbrook, Laura M. Glynn

Food Science Faculty Articles and Research

Background

Extracellular vesicles in human milk are critical in supporting newborn growth and development. Bioavailability of dietary extracellular vesicles may depend on the composition of membrane lipids. Single-nucleotide polymorphisms (SNPs) in the fatty acid desaturase gene cluster impact the content of long-chain polyunsaturated fatty acids in human milk phospholipids. This study investigated the relation between variation in FADS1 and FADS2 with the content of polyunsaturated fatty acids in extracellular vesicles from human milk.

Methods

Milk was obtained from a cohort of mothers (N = 70) at 2–4 weeks of lactation. SNPs in the FADS gene locus were determined using …

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Phylogenomics Reveals The History Of Host Use In Mosquitoes, John Soghigian, Charles Sither, Silvia Andrade Justi, Gen Morinaga, Brian K. Cassel, Christopher J. Vitek, Todd Livdahl, Siyang Xia, Andrea Gloria-Soria, Jeffrey R. Powell

School of Integrative Biological and Chemical Sciences Faculty Publications and Presentations

Mosquitoes have profoundly affected human history and continue to threaten human health through the transmission of a diverse array of pathogens. The phylogeny of mosquitoes has remained poorly characterized due to difficulty in taxonomic sampling and limited availability of genomic data beyond the most important vector species. Here, we used phylogenomic analysis of 709 single copy ortholog groups from 256 mosquito species to produce a strongly supported phylogeny that resolves the position of the major disease vector species and the major mosquito lineages. Our analyses support an origin of mosquitoes in the early Triassic (217 MYA [highest posterior density region: …

Genomic Analysis Of Clostridioides Difficile Recovered From Horses In Western Australia, Natasza M. R. Hain-Saunders, Daniel R. Knight, Mieghan Bruce, David Byrne, Thomas V. Riley

Research outputs 2022 to 2026

Clostridioides difficile poses an ongoing threat as a cause of gastrointestinal disease in humans and animals. Traditionally considered a human healthcare-related disease, increases in community-associated C. difficile infection (CDI) and growing evidence of inter-species transmission suggest a wider perspective is required for CDI control. In horses, C. difficile is a major cause of diarrhoea and life-threatening colitis. This study aimed to better understand the epidemiology of CDI in Australian horses and provide insights into the relationships between horse, human and environmental strains. A total of 752 faecal samples from 387 Western Australian horses were collected. C. difficile was isolated from …

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. …

Integrative Molecular Analysis Of Dna Methylation Dynamics Unveils Molecules With Prognostic Potential In Breast Cancer, Rashid Mehmood, Alanoud Alsaleh, Muzamil Y. Want, Ijaz Ahmad, Sami Siraj, Muhammad Ishtiaq, Faizah A. Alshehri, Muhammad Naseem, Noriko Yasuhara

All Works

DNA methylation acts as a major epigenetic modification in mammals, characterized by the transfer of a methyl group to a cytosine. DNA methylation plays a pivotal role in regulating normal development, and misregulation in cells leads to an abnormal phenotype as is seen in several cancers. Any mutations or expression anomalies of genes encoding regulators of DNA methylation may lead to abnormal expression of critical molecules. A comprehensive genomic study encompassing all the genes related to DNA methylation regulation in relation to breast cancer is lacking. We used genomic and transcriptomic datasets from the Cancer Genome Atlas (TGCA) Pan-Cancer Atlas, …

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 …

Protocol To Identify The Core Gene Supported By An Essential Gene In E. Coli Bacteria Using A Genome-Wide Suppressor Screen, Isao Masuda, Ya-Ming Hou

Department of Biochemistry and Molecular Biology Faculty Papers

We describe here a genome-wide screening approach to identify the most critical core reaction among a network of many that are supported by an essential gene to establish cell viability. We describe steps for maintenance plasmid construction, knockout cell construction, and phenotype validation. We then detail isolation of suppressors, whole-genome sequencing analysis, and reconstruction of CRISPR mutants. We focus on E. coli trmD, which encodes an essential methyl transferase that synthesizes m1G37 on the 3'-side of the tRNA anticodon. For complete details on the use and execution of this protocol, please refer to Masuda et al. (2022).

Genomic Analyses Of Gray Fox Lineages Suggest Ancient Divergence And Secondary Contact In The Southern Great Plains, Elizabeth M. Kierepka, Sophie Preckler-Quisquater, Dawn M. Reding, Antoinette Piaggio, Seth P.D. Riley, Benjamin N. Sacks

USDA Wildlife Services: Staff Publications

The gray fox (Urocyon cinereoargenteus) lineage diverged from all other extant canids at their most basal node and is restricted to the Americas. Previous mitochondrial analysis from coastal populations identified deeply divergent (up to 1 Mya) eastern and western lineages that predate most intraspecific splits in carnivores. We conducted genotyping by sequencing and mitochondrial analysis on gray foxes sampled across North America to determine geographic concordance between nuclear and mitochondrial contact zones and divergence times. We also estimated the admixture within the contact zone between eastern and western gray foxes based on nuclear DNA. Both datasets confirmed that …

Multi-Ancestry Genome-Wide Association Analyses Improve Resolution Of Genes And Pathways Influencing Lung Function And Chronic Obstructive Pulmonary Disease Risk, Nick Shrine, Abril G. Izquierdo, Jing Chen, Richard Packer, Robert J. Hall, Anna L. Guyatt, Chiara Batini, Rebecca J. Thompson, Chandan Puvuluri, Vidhi Malik, Brian D. Hobbs, Matthew Moll, Wonji Kim, Ruth Tal-Singer, Per Bakke, Katherine A. Fawcett, Catherine John, Kayesha Coley, Noemi Nicole Piga, Sinjini Sikdar, Martin D. Tobin, Et Al.

Mathematics & Statistics Faculty Publications

Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of …

Extrachromosomal Dna (Ecdna): An Origin Of Tumor Heterogeneity, Genomic Remodeling, And Drug Resistance., Lauren T Pecorino, Roel G W Verhaak, Anton Henssen, Paul S Mischel

Faculty Research 2022

The genome of cancer cells contains circular extrachromosomal DNA (ecDNA) elements not found in normal cells. Analysis of clinical samples reveal they are common in most cancers and their presence indicates poor prognosis. They often contain enhancers and driver oncogenes that are highly expressed. The circular ecDNA topology leads to an open chromatin conformation and generates new gene regulatory interactions, including with distal enhancers. The absence of centromeres leads to random distribution of ecDNAs during cell division and genes encoded on them are transmitted in a non-mendelian manner. ecDNA can integrate into and exit from chromosomal DNA. The numbers of …

Taxonomic Assessment Of Two Wild House Mouse Subspecies Using Whole-Genome Sequencing., Raman Akinyanju Lawal, Verity L Mathis, Mary Barter, Jeremy R. Charette, Alexis Garretson, Beth L Dumont

Faculty Research 2022

The house mouse species complex (Mus musculus) is comprised of three primary subspecies. A large number of secondary subspecies have also been suggested on the basis of divergent morphology and molecular variation at limited numbers of markers. While the phylogenetic relationships among the primary M. musculus subspecies are well-defined, relationships among secondary subspecies and between secondary and primary subspecies remain less clear. Here, we integrate de novo genome sequencing of museum-stored specimens of house mice from one secondary subspecies (M. m. bactrianus) and publicly available genome sequences of house mice previously characterized as M. m. helgolandicus, with whole genome sequences …

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 …

Development Of Graphical Models And Statistical Physics Motivated Approaches To Genomic Investigations, Yashwanth Lagisetty

Dissertations & Theses (Open Access)

Identifying genes involved in disease pathology has been a goal of genomic research since the early days of the field. However, as technology improves and the body of research grows, we are faced with more questions than answers. Among these is the pressing matter of our incomplete understanding of the genetic underpinnings of complex diseases. Many hypotheses offer explanations as to why direct and independent analyses of variants, as done in genome-wide association studies (GWAS), may not fully elucidate disease genetics. These range from pointing out flaws in statistical testing to invoking the complex dynamics of epigenetic processes. In the …

Phenotype-Driven Approaches To Enhance Variant Prioritization And Diagnosis Of Rare Disease., Julius O B Jacobsen, Catherine Kelly, Valentina Cipriani, Genomics England Research Consortium, Christopher J Mungall, Justin Reese, Daniel Danis, Peter N Robinson, Damian Smedley

Faculty Research 2022

Rare disease diagnostics and disease gene discovery have been revolutionized by whole-exome and genome sequencing but identifying the causative variant(s) from the millions in each individual remains challenging. The use of deep phenotyping of patients and reference genotype-phenotype knowledge, alongside variant data such as allele frequency, segregation, and predicted pathogenicity, has proved an effective strategy to tackle this issue. Here we review the numerous tools that have been developed to automate this approach and demonstrate the power of such an approach on several thousand diagnosed cases from the 100,000 Genomes Project. Finally, we discuss the challenges that need to be …

Strategic Plan For Genomic Competencies Into Undergraduate Nursing Curriculum, Myerann Royce M. Mangalino

UNLV Theses, Dissertations, Professional Papers, and Capstones

Problem: As genomics research continues to grow in medicine and in popular culture, an educational gap in nursing is inevitable. Nurses must have a strong understanding of genetics and genomics to effectively integrate them into current practice.Objectives: The objective is to identify gaps in the current undergraduate curriculum and build threads that may be incorporated into the current curriculum to fill the identified gaps. Methods: The foundation of this project was the Essentials of Genetic and Genomic Nursing: Competencies, Curricula Guidelines, and Outcome Indicators, 2nd Edition (Consensus Panel on Genetic/Genomic Nursing Competencies, 2008). A strategic plan was created to increase …

Genetics And Genomics Education Among Physician Assistants, Wesley Patterson

All Dissertations

This dissertation comprises five chapters to describe genetics and genomics education among physician assistant/associate (PA) students and practicing PAs. Chapter I introduces the gap in supply and demand of genetic services, the need for non-genetics healthcare providers to fill the gap, and the PA profession as a solution.

Chapter II is a rapid literature review that summarizes the available literature regarding genetics and genomics education for PAs. A paucity of literature exists to describe the current state of PA genetics-genomics education. The few studies retrieved describe content being taught in PA programs, the number of genetics-genomics contact hours PA students …

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 …

The Rd-Connect Genome-Phenome Analysis Platform: Accelerating Diagnosis, Research, And Gene Discovery For Rare Diseases., Steven Laurie, Davide Piscia, Leslie Matalonga, Alberto Corvó, Marcos Fernández-Callejo, Carles Garcia-Linares, Carles Hernandez-Ferrer, Cristina Luengo, Inés Martínez, Anastasios Papakonstantinou, Daniel Picó-Amador, Joan Protasio, Rachel Thompson, Raul Tonda, Mònica Bayés, Gemma Bullich, Jordi Camps-Puchadas, Ida Paramonov, Jean-Rémi Trotta, Angel Alonso, Marcella Attimonelli, Christophe Béroud, Virginie Bros-Facer, Orion J Buske, Andrés Cañada-Pallarés, José M Fernández, Mats G Hansson, Rita Horvath, Julius O B Jacobsen, Rajaram Kaliyaperumal, Séverine Lair-Préterre, Luana Licata, Pedro Lopes, Estrella López-Martín, Deborah Mascalzoni, Lucia Monaco, Luis A Pérez-Jurado, Manuel Posada De La Paz, Jordi Rambla, Ana Rath, Olaf Riess, Peter N Robinson, David Salgado, Damian Smedley, Dylan Spalding, Peter A C 'T Hoen, Ana Töpf, Irina Zaharieva, Holm Graessner, Ivo G Gut, Hanns Lochmüller, Sergi Beltran

Faculty Research 2022

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is …

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

Combining Genomic And Epidemiological Data To Compare The Transmissibility Of Sars-Cov-2 Variants Alpha And Iota., Mary E Petrone, Jessica E Rothman, Mallery I Breban, Isabel M Ott, Alexis Russell, Erica Lasek-Nesselquist, Hamada Badr, Kevin Kelly, Gregory Omerza, Nicholas Renzette, Anne E Watkins, Chaney C Kalinich, Tara Alpert, Anderson F Brito, Rebecca Earnest, Irina R Tikhonova, Christopher Castaldi, John P Kelly, Matthew Shudt, Jonathan Plitnick, Erasmus Schneider, Steven Murphy, Caleb Neal, Eva Laszlo, Ahmad Altajar, Claire Pearson, Anthony Muyombwe, Randy Downing, Jafar Razeq, Linda Niccolai, Madeline S Wilson, Margaret L Anderson, Jianhui Wang, Chen Liu, Pei Hui, Shrikant Mane, Bradford P Taylor, William P Hanage, Marie L Landry, David R Peaper, Kaya Bilguvar, Joseph R Fauver, Chantal B F Vogels, Lauren M Gardner, Virginia E Pitzer, Kirsten St George, Mark D Adams, Nathan D Grubaugh

Faculty Research 2022

SARS-CoV-2 variants shaped the second year of the COVID-19 pandemic and the discourse around effective control measures. Evaluating the threat posed by a new variant is essential for adapting response efforts when community transmission is detected. In this study, we compare the dynamics of two variants, Alpha and Iota, by integrating genomic surveillance data to estimate the effective reproduction number (R_t) of the variants. We use Connecticut, United States, in which Alpha and Iota co-circulated in 2021. We find that the R_t of these variants were up to 50% larger than that of other variants. We then …

Svanna: Efficient And Accurate Pathogenicity Prediction Of Coding And Regulatory Structural Variants In Long-Read Genome Sequencing., Daniel Danis, Julius O B Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J Lyon, Ingo Helbig, Christopher J Mungall, Christine R Beck, Charles Lee, Damian Smedley, Peter N Robinson

Faculty Research 2022

Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to sequencing technology limitations. Long-read sequencing enables comprehensive detection of SVs, but approaches for prioritization of candidate SVs are needed. Structural variant Annotation and analysis (SvAnna) assesses all classes of SVs and their intersection with transcripts and regulatory sequences, relating predicted effects on gene function with clinical phenotype data. SvAnna places 87% of deleterious SVs in the top ten ranks. The interpretable prioritizations offered by SvAnna will facilitate the widespread adoption of long-read sequencing in diagnostic genomics. SvAnna is available at https://github.com/TheJacksonLaboratory/SvAnn a …

Crispr-Mediated Multiplexed Live Cell Imaging Of Nonrepetitive Genomic Loci With One Guide Rna Per Locus., Patricia A Clow, Menghan Du, Nathaniel L. Jillette, Aziz Taghbalout, Jacqueline J Zhu, Albert Cheng

Faculty Research 2022

Three-dimensional (3D) structures of the genome are dynamic, heterogeneous and functionally important. Live cell imaging has become the leading method for chromatin dynamics tracking. However, existing CRISPR- and TALE-based genomic labeling techniques have been hampered by laborious protocols and are ineffective in labeling non-repetitive sequences. Here, we report a versatile CRISPR/Casilio-based imaging method that allows for a nonrepetitive genomic locus to be labeled using one guide RNA. We construct Casilio dual-color probes to visualize the dynamic interactions of DNA elements in single live cells in the presence or absence of the cohesin subunit RAD21. Using a three-color palette, we track …

Prediction Performance Of Linear Models And Gradient Boosting Machine On Complex Phenotypes In Outbred Mice., Bruno C Perez, Marco C A M Bink, Karen L. Svenson, Gary Churchill, Mario P L Calus

Faculty Research 2022

We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP markers and phenotypes for 835 animals from 6 generations. Traits analyzed were bone mineral density, body weight at 10, 15, and 20 weeks, fat percentage, circulating cholesterol, glucose, insulin, triglycerides, and urine creatinine. The youngest generation was used as a validation subset, and predictions were based on all older generations. Model performance was evaluated by comparing predictions for animals in the validation subset …

The Large And Small Of It: The Microbiome And Metagenomics, Austin Hopkins, Elaina Gollmar, Jessica Fernandez, Shawn Wolf, Austin Hilverding, Andrew M. Roecker

Pharmacy and Wellness Review

Metagenomics, the analysis of the microbial genome, permits scientists to understand the influences of external sources including diet, metabolism and antibiotics on the human microbiome. Research has revealed the possibility of a core symbiosis between humans and bacteria. The main role of the human microbiome is to aid in digestion, but identified ancillary roles include immunologic homeostasis and infection prevention. Quantifying the composition and variability of the microbiome will help lead to future treatments or preventive strategies against unhealthy change. A variety of methods may be used to define the microbiome, and 16S amplicon sequencing is primarily utilized today. Probiotics …

Mouse Genome Informatics (Mgi): Latest News From Mgd And Gxd., Martin Ringwald, Joel E Richardson, Richard M. Baldarelli, Judith A. Blake, James A. Kadin, Cynthia Smith, Carol J Bult

Faculty Research 2022

The Mouse Genome Informatics (MGI) database system combines multiple expertly curated community data resources into a shared knowledge management ecosystem united by common metadata annotation standards. MGI's mission is to facilitate the use of the mouse as an experimental model for understanding the genetic and genomic basis of human health and disease. MGI is the authoritative source for mouse gene, allele, and strain nomenclature and is the primary source of mouse phenotype annotations, functional annotations, developmental gene expression information, and annotations of mouse models with human diseases. MGI maintains mouse anatomy and phenotype ontologies and contributes to the development of …

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 …