Genetics and Genomics Commons^™

Lpa Disruption With Aav-Crispr Potently Lowers Plasma Apo(A) In Transgenic Mouse Model: A Proof-Of-Concept Study, Alexandria M Doerfler, So Hyun Park, Julia M Assini, Amer Youssef, Lavanya Saxena, Adam B Yaseen, Marco De Giorgi, Marcel Chuecos, Ayrea E Hurley, Ang Li, Santica M Marcovina, Gang Bao, Michael B Boffa, Marlys L Koschinsky, William R Lagor

Faculty, Staff and Students Publications

Lipoprotein(a) (Lp(a)) represents a unique subclass of circulating lipoprotein particles and consists of an apolipoprotein(a) (apo(a)) molecule covalently bound to apolipoprotein B-100. The metabolism of Lp(a) particles is distinct from that of low-density lipoprotein (LDL) cholesterol, and currently approved lipid-lowering drugs do not provide substantial reductions in Lp(a), a causal risk factor for cardiovascular disease. Somatic genome editing has the potential to be a one-time therapy for individuals with extremely high Lp(a). We generated an LPA transgenic mouse model expressing apo(a) of physiologically relevant size. Adeno-associated virus (AAV) vector delivery of CRISPR-Cas9 was used to disrupt the LPA transgene in …

Isolation And Characterization Of Chi-Like Salmonella Bacteriophages Infecting Two Salmonella Enterica Serovars, Typhimurium And Enteritidis, Addisu D. Teklemariam, Mona G. Alharbi, Rashad R. Al-Hindi, Ibrahim Alotibi, Abdullah A. Aljaddawi, Sheren A. Azhari, Ahmed Esmael

Nebraska Center for Virology: Faculty Publications

Salmonella enterica Serovar Typhimurium and Salmonella enterica Serovar Enteritidis are well-known pathogens that cause foodborne diseases in humans. The emergence of antibiotic-resistant Salmonella serovars has caused serious public health problems worldwide. In this study, two lysogenic phages, STP11 and SEP13, were isolated from a wastewater treatment plant in Jeddah, KSA. Transmission electron microscopic images revealed that both phages are new members of the genus “Chivirus” within the family Siphoviridae. Both STP11 and SEP13 had a lysis time of 90 min with burst sizes of 176 and 170 PFU/cell, respectively. The two phages were thermostable (0 ^◦C …

Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury

Electronic Theses and Dissertations

Graphical models determine associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models, where the relationships are formalized by non-null entries of the precision matrix. However, in high-dimensional cases, covariance estimates are typically unstable. Moreover, it is natural to expect only a few significant associations to be present in many realistic applications. This necessitates the injection of sparsity techniques into the estimation method. Classical frequentist methods, like GLASSO, use penalization techniques for this purpose. Fully Bayesian methods, on the contrary, are slow because they require iteratively sampling over a quadratic …

Npgreat: Assembly Of The Human Subtelomere Regions With The Use Of Ultralong Nanopore Reads And Linked Reads, Eleni Adam, Desh Ranjan, Harold Riethman

Computer Science Faculty Publications

Background: Human subtelomeric DNA regulates the length and stability of adjacent telomeres that are critical for cellular function, and contains many gene/pseudogene families. Large evolutionarily recent segmental duplications and associated structural variation in human subtelomeres has made complete sequencing and assembly of these regions difficult to impossible for many loci, complicating or precluding a wide range of genetic analyses to investigate their function.

Results: We present a hybrid assembly method, NanoPore Guided REgional Assembly Tool (NPGREAT), which combines Linked-Read data with mapped ultralong nanopore reads spanning subtelomeric segmental duplications to potentially overcome these difficulties. Linked-Read sets of DNA sequences identified …

Tceal1 Loss-Of-Function Results In An X-Linked Dominant Neurodevelopmental Syndrome And Drives The Neurological Disease Trait In Xq222 Deletions, Hadia Hijazi, Linda M Reis, Davut Pehlivan, Jonathan A Bernstein, Michael Muriello, Erin Syverson, Devon Bonner, Mehrdad A Estiar, Ziv Gan-Or, Guy A Rouleau, Ekaterina Lyulcheva, Lynn Greenhalgh, Marine Tessarech, Estelle Colin, Agnès Guichet, Dominique Bonneau, R H Van Jaarsveld, A M A Lachmeijer, Lyse Ruaud, Jonathan Levy, Anne-Claude Tabet, Rafal Ploski, Małgorzata Rydzanicz, Łukasz Kępczyński, Katarzyna Połatyńska, Yidan Li, Jawid M Fatih, Dana Marafi, Jill A Rosenfeld, Zeynep Coban-Akdemir, Weimin Bi, Richard A Gibbs, Grace M Hobson, Jill V Hunter, Claudia M B Carvalho, Jennifer E Posey, Elena V Semina, James R Lupski

Faculty, Staff and Student Publications

An Xq22.2 region upstream of PLP1 has been proposed to underly a neurological disease trait when deleted in 46,XX females. Deletion mapping revealed that heterozygous deletions encompassing the smallest region of overlap (SRO) spanning six Xq22.2 genes (BEX3, RAB40A, TCEAL4, TCEAL3, TCEAL1, and MORF4L2) associate with an early-onset neurological disease trait (EONDT) consisting of hypotonia, intellectual disability, neurobehavioral abnormalities, and dysmorphic facial features. None of the genes within the SRO have been associated with monogenic disease in OMIM. Through local and international collaborations facilitated by GeneMatcher and Matchmaker Exchange, we have identified and herein report seven de novo variants involving …

A Common Mechanism Links Epstein‐Barr Virus Infections And Autoimmune Diseases, Luwen Zhang

Nebraska Center for Virology: Faculty Publications

Epstein‐Barr virus (EBV) infection is associated with a variety of the autoimmune diseases. There is apparently no unified model for the role of EBV in autoimmune diseases. In this article, the development of autoimmune diseases is proposed as a simple two‐step process: specific autoimmune initiators may cause irreversible changes to genetic materials that increase autoimmune risks, and autoimmune promoters promote autoimmune disease formation once cells are susceptible to autoimmunity. EBV has several types of latencies including type III latency with higher proliferation potential. EBV could serve as autoimmune initiators for some autoimmune diseases. At the same time, EBV may play …

Il-33 Promotes Increased Replication Of Theiler’S Murine Encephalomyelitis Virus In Raw264.7 Macrophage Cells With An Irf3-Dependent Response, Ahmed Esmael, Thomas M. Petro

Nebraska Center for Virology: Faculty Publications

Interleukin-33 (IL-33), which promotes M2 macrophage development, may influence the control of viruses, such as Theiler’s Murine Encephalomyelitis Virus (TMEV) that infect macrophages. Because Interferon Regulatory Factor-3 (IRF3) is also critical to control of TMEV infection in macrophages, information on the relationship between IL-33 and IRF3 is important. Thus, RAW264.7 Lucia murine macrophage lineage cells with an endogenous IRF3-ISRE promoter driving secreted luciferase and IRF3KO RAW Lucia, a subline deficient in IRF3, were challenged with TMEV. After the challenge, considerable TMEV RNA detected at 18 and 24 h in RAW cells was significantly elevated in IRF3KO RAW cells. TMEV induction …

Privacy-Aware Estimation Of Relatedness In Admixed Populations, Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Harmanci

Faculty, Staff and Student Publications

BACKGROUND: Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable assumption of homogeneous population ancestry of the samples. Moreover, genetic privacy is generally overlooked in the usage of kinship estimation methods. There can be ethical concerns about finding unknown familial relationships in third-party databases. Similar ethical concerns may arise while estimating and reporting sensitive population-level statistics such as inbreeding coefficients for the concerns around marginalization and stigmatization.

RESULTS: Here, we present SIGFRIED, which makes …

Il-33 Promotes Increased Replication Of Theiler’S Murine Encephalomyelitis Virus In Raw264.7 Macrophage Cells With An Irf3-Dependent Response, Ahmed Esmael, Thomas M. Petro

Nebraska Center for Virology: Faculty Publications

Interleukin-33 (IL-33), which promotes M2 macrophage development, may influence the control of viruses, such as Theiler’s Murine Encephalomyelitis Virus (TMEV) that infect macrophages. Because Interferon Regulatory Factor-3 (IRF3) is also critical to control of TMEV infection in macrophages, information on the relationship between IL-33 and IRF3 is important. Thus, RAW264.7 Lucia murine macrophage lineage cells with an endogenous IRF3-ISRE promoter driving secreted luciferase and IRF3KO RAW Lucia, a subline deficient in IRF3, were challenged with TMEV. After the challenge, considerable TMEV RNA detected at 18 and 24 h in RAW cells was significantly elevated in IRF3KO RAW cells. TMEV induction …

A Single Amino Acid Substitution In Porcine Reproductive And Respiratory Syndrome Virus Glycoprotein 2 Significantly Impairs Its Infectivity In Macrophages, Jayeshbhai Chaudhari, Raquel Arruda Leme, Kassandra Durazo-Martinez, Sarah Vitosh-Sillman, Aspen M. Workman, Hiep Vu

Nebraska Center for Virology: Faculty Publications

Porcine reproductive and respiratory syndrome virus (PRRSV) has a restricted tropism for macrophages and CD163 is a key receptor for infection. In this study, the PRRSV strain NCV1 was passaged on MARC-145 cells for 95 passages, and two plaque-clones (C1 and C2) were randomly selected for further analysis. The C1 virus nearly lost the ability to infect porcine alveolar macrophages (PAMs), as well as porcine kidney cells expressing porcine CD163 (PK15-pCD163), while the C2 virus replicates well in these two cell types. Pretreatment of MARC-145 cells with an anti-CD163 antibody nearly blocked C1 virus infection, indicating that the virus still …

Polyphenolics, Glucosinolates And Isothiocyanates Profiling Of Aerial Parts Of Nasturtium Officinale (Watercress), Sotiris Kyriakou, Kyriaki Michailidou, Tom Amery, Kyle Stewart, Paul G. Winyard, Dimitrios T. Trafalis, Rodrigo Franco, Aglaia Pappa, Mihalis I. Panayiotidis

Nebraska Center for Virology: Faculty Publications

Watercress (Nasturtium officinale) is a rich source of secondary metabolites with disease-preventing and/or health-promoting properties. Herein, we have utilized extraction procedures to isolate fractions of polyphenols, glucosinolates and isothiocyanates to determine their identification, and quantification. In doing so, we have utilized reproducible analytical methodologies based on liquid chromatography with tandem mass spectrometry by either positive or negative ion mode. Due to the instability and volatility of isothiocyanates, we followed an ammonia derivatization protocol which converts them into respective ionizable thiourea derivatives. The analytes’ content distribution map was created on watercress flowers, leaves and stems. We have demonstrated that …

The Evolving Privacy And Security Concerns For Genomic Data Analysis And Sharing As Observed From The Idash Competition, Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Arif Harmanci, Miran Kim, Kai Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado

Faculty, Staff and Student Publications

Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through the integrating data for analysis, anonymization and sharing consortium to address this practical challenge. In this article, we summarize our experience from these competitions, report lessons learned from the events …

The “Big Six”: Hidden Emerging Foodborne Bacterial Pathogens, Mona G. Alharbi, Rashad R. Al-Hindi, Ahmed Esmael, Ibrahim A. Alotibi, Sheren A. Azhari, Mazen S. Alseghayer, Addisu D. Teklemariam

Nebraska Center for Virology: Faculty Publications

Non-O157 Shiga toxin-producing Escherichia coli (STEC) are emerging serogroups that often result in diseases ranging from diarrhea to severe hemorrhagic colitis in humans. The most common non-O157 STEC are O26, O45, O103, O111, O121, and O145. These serogroups are known by the name “big six” because they cause severe illness and death in humans and the United States Department of Agriculture declared these serogroups as food contaminants. The lack of fast and efficient diagnostic methods exacerbates the public impact of the disease caused by these serogroups. Numerous outbreaks have been reported globally and most of these outbreaks were caused by …

A Multi-Omics Framework Reveals Strawberry Flavor Genes And Their Regulatory Elements, Zhen Fan, Denise M Tieman, Steven J Knapp, Philipp Zerbe, Randi Famula, Christopher R Barbey, Kevin M Folta, Rodrigo R Amadeu, Manbo Lee, Youngjae Oh, Seonghee Lee, Vance M Whitaker

Faculty, Staff and Student Publications

Flavor is essential to consumer preference of foods and is an increasing focus of plant breeding programs. In fruit crops, identifying genes underlying volatile organic compounds has great promise to accelerate flavor improvement, but polyploidy and heterozygosity in many species have slowed progress. Here we use octoploid cultivated strawberry to demonstrate how genomic heterozygosity, transcriptomic intricacy and fruit metabolomic diversity can be treated as strengths and leveraged to uncover fruit flavor genes and their regulatory elements. Multi-omics datasets were generated including an expression quantitative trait loci map with 196 diverse breeding lines, haplotype-phased genomes of a highly-flavored breeding selection, a …

Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.

RESULTS: scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in …

Proteômica Plasmática Quantitativa De Pacientes Sobreviventes E Não Sobreviventes De Covid-19 Internados No Hospital Revela Potenciais Biomarcadores Prognósticos E Alvos Terapêuticos, D C. Flora, A D. Valle, H Abs Pereira, T F. Garbieri, L. T. Grizzo, T J. Dionisio, A L. Leite, D Mc Rosa, C F. Santos, M Ar Buzalaf

Nebraska Center for Virology: Faculty Publications

O desenvolvimento de novas abordagens que permitam a avaliação precoce de quais casos de COVID-19 provavelmente se tornarão críticos e a descoberta de novos alvos terapêuticos são importantes. Neste estudo de coorte, foi avaliado o perfil proteômico e laboratorial do plasma de 163 pacientes internados no Hospital Estadual de Bauru (Bauru, SP, Brasil) entre 4 de maio e 4 de julho de 2020, que foram diagnosticados com COVID-19 por RT-PCR a partir de amostras de swab nasofaríngeo amostras. Amostras de plasma foram coletadas na admissão para análises laboratoriais de rotina e análise proteôomica quantitativa shotgun livre de marcadores. De acordo …

Full Issue, Winthrop Mcnair Research Bulletin

The Winthrop McNair Research Bulletin

Winthrop McNair Research Bulletin Volume 5, Full Issue

Locating Mutagen-Sensitivity Gene Mus109 In The Drosophila Melanogaster Genome Using Deficiency Mapping, Chandani Mitchell

The Winthrop McNair Research Bulletin

The complex processes involved in repairing damaged DNA are still being elucidated. Some genes that are known to have roles in the DNA repair process have been identified, such as the mutagen-sensitivity genes, or mus genes, in Drosophila melanogaster. However, the precise genomic location of some mus genes is still unknown, including mus109. It is known that mutations in mus109 cause chromosomal aberrations resulting in larval death, and previous research has mapped mus109 to a region of the X chromosome consisting of over 520,000 nucleotides and 41 genes. Therefore, this study aimed to locate mus109 using deficiency mapping. The mus109D2 …

Metarnn: Differentiating Rare Pathogenic And Rare Benign Missense Snvs And Indels Using Deep Learning, Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu

Faculty, Staff and Student Publications

Multiple computational approaches have been developed to improve our understanding of genetic variants. However, their ability to identify rare pathogenic variants from rare benign ones is still lacking. Using context annotations and deep learning methods, we present pathogenicity prediction models, MetaRNN and MetaRNN-indel, to help identify and prioritize rare nonsynonymous single nucleotide variants (nsSNVs) and non-frameshift insertion/deletions (nfINDELs). We use independent test sets to demonstrate that these new models outperform state-of-the-art competitors and achieve a more interpretable score distribution. Importantly, prediction scores from both models are comparable, enabling easy adoption of integrated genotype-phenotype association analysis methods. All pre-computed nsSNV scores …

Svat: Secure Outsourcing Of Variant Annotation And Genotype Aggregation, Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

BACKGROUND: Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among millions. In certain cases, there are policy barriers against sharing genetic data from indigenous populations and stigmatizing conditions.

RESULTS: We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at …

Machine Learning Modeling Of Protein-Intrinsic Features Predicts Tractability Of Targeted Protein Degradation, Wubing Zhang, Shourya S Roy Burman, Jiaye Chen, Katherine A Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang, Dian Li, Eric S Fischer, Collin Tokheim, X Shirley Liu

Faculty, Staff and Student Publications

Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largely unknown. Here, we developed a machine learning model, model-free analysis of protein degradability (MAPD), to predict degradability from features intrinsic to protein targets. MAPD shows accurate performance in predicting kinases that are degradable by TPD compounds [with an area under the precision–recall curve (AUPRC) of 0.759 and an area under the receiver operating characteristic curve (AUROC) of 0.775] and is …

Temporal Lobe White Matter Asymmetry And Language Laterality In Epilepsy Patients, Nikolaos Soldatos, Huy Pham, Walid D Fakhouri, Binh Ngo, Panagiotis Lampropoulos, Tiffany Tran, Robin Weltman

Faculty, Staff and Student Publications

(1) Background: Several studies showed a sustained temperature of 47 °C or 50 °C for one minute resulted in vascular stasis and bone resorption with only limited bone regrowth over a 3–4-week healing period. The purpose of the present study was to evaluate the temperature changes (ΔΤ) that occur during the preparation of dental implant osteotomies using MIS® straight drills versus Densah® burs in a clockwise (cutting) drilling protocol. (2) Methods: Two hundred forty (240) osteotomies of two different systems’ drills were prepared at 6 mm depth at 800, 1000, and 1200 revolutions per minute (RPM), in fresh, unembalmed tibiae, …

“Stripe” Transcription Factors Provide Accessibility To Co-Binding Partners In Mammalian Genomes, Yongbing Zhao, Supriya V Vartak, Andrea Conte, Xiang Wang, David A Garcia, Evan Stevens, Seol Kyoung Jung, Kyong-Rim Kieffer-Kwon, Laura Vian, Timothy Stodola, Francisco Moris, Laura Chopp, Silvia Preite, Pamela L Schwartzberg, Joseph M Kulinski, Ana Olivera, Christelle Harly, Avinash Bhandoola, Elisabeth F Heuston, David M Bodine, Raul Urrutia, Arpita Upadhyaya, Matthew T Weirauch, Gordon Hager, Rafael Casellas

Faculty, Staff and Student Publications

Regulatory elements activate promoters by recruiting transcription factors (TFs) to specific motifs. Notably, TF-DNA interactions often depend on cooperativity with colocalized partners, suggesting an underlying cis-regulatory syntax. To explore TF cooperativity in mammals, we analyze ∼500 mouse and human primary cells by combining an atlas of TF motifs, footprints, ChIP-seq, transcriptomes, and accessibility. We uncover two TF groups that colocalize with most expressed factors, forming stripes in hierarchical clustering maps. The first group includes lineage-determining factors that occupy DNA elements broadly, consistent with their key role in tissue-specific transcription. The second one, dubbed universal stripe factors (USFs), comprises ∼30 SP, …

Genetic Loci And Prioritization Of Genes For Kidney Function Decline Derived From A Meta-Analysis Of 62 Longitudinal Genome-Wide Association Studies, Mathias Gorski, Humaira Rasheed, Alexander Teumer, Laurent F Thomas, Sarah E Graham, Gardar Sveinbjornsson, Thomas W Winkler, Felix Günther, Klaus J Stark, Jin-Fang Chai, Bamidele O Tayo, Matthias Wuttke, Yong Li, Adrienne Tin, Tarunveer S Ahluwalia, Johan Ärnlöv, Bjørn Olav Åsvold, Stephan J L Bakker, Bernhard Banas, Nisha Bansal, Mary L Biggs, Ginevra Biino, Michael Böhnke, Eric Boerwinkle, Erwin P Bottinger, Hermann Brenner, Ben Brumpton, Robert J Carroll, Layal Chaker, John Chalmers, Miao-Li Chee, Miao-Ling Chee, Ching-Yu Cheng, Audrey Y Chu, Marina Ciullo, Massimiliano Cocca, James P Cook, Josef Coresh, Daniele Cusi, Martin H De Borst, Frauke Degenhardt, Kai-Uwe Eckardt, Karlhans Endlich, Michele K Evans, Mary F Feitosa, Andre Franke, Sandra Freitag-Wolf, Christian Fuchsberger, Piyush Gampawar, Ron T Gansevoort, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Christian Gieger, Daniel F Gudbjartsson, Stein Hallan, Pavel Hamet, Asahi Hishida, Kevin Ho, Edith Hofer, Bernd Holleczek, Hilma Holm, Anselm Hoppmann, Katrin Horn, Nina Hutri-Kähönen, Kristian Hveem, Shih-Jen Hwang, M Arfan Ikram, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Irma Karabegović, Chiea-Chuen Khor, Wolfgang Koenig, Holly Kramer, Bernhard K Krämer, Brigitte Kühnel, Johanna Kuusisto, Markku Laakso, Leslie A Lange, Terho Lehtimäki, Man Li, Wolfgang Lieb, Lifelines Cohort Study, Lars Lind, Cecilia M Lindgren, Ruth J F Loos, Mary Ann Lukas, Leo-Pekka Lyytikäinen, Anubha Mahajan, Pamela R Matias-Garcia, Christa Meisinger, Thomas Meitinger, Olle Melander, Yuri Milaneschi, Pashupati P Mishra, Nina Mononen, Andrew P Morris, Josyf C Mychaleckyj, Girish N Nadkarni, Mariko Naito, Masahiro Nakatochi, Mike A Nalls, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M Nolte, Teresa Nutile, Michelle L O'Donoghue, Jeffrey O'Connell, Isleifur Olafsson, Marju Orho-Melander, Afshin Parsa, Sarah A Pendergrass, Brenda W J H Penninx, Mario Pirastu, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Myriam Rheinberger, Kenneth M Rice, Federica Rizzi, Alexander R Rosenkranz, Peter Rossing, Jerome I Rotter, Daniela Ruggiero, Kathleen A Ryan, Charumathi Sabanayagam, Erika Salvi, Helena Schmidt, Reinhold Schmidt, Markus Scholz, Ben Schöttker, Christina-Alexandra Schulz, Sanaz Sedaghat, Christian M Shaffer, Karsten B Sieber, Xueling Sim, Mario Sims, Harold Snieder, Kira J Stanzick, Unnur Thorsteinsdottir, Hannah Stocker, Konstantin Strauch, Heather M Stringham, Patrick Sulem, Silke Szymczak, Kent D Taylor, Chris H L Thio, Johanne Tremblay, Simona Vaccargiu, Pim Van Der Harst, Peter J Van Der Most, Niek Verweij, Uwe Völker, Kenji Wakai, Melanie Waldenberger, Lars Wallentin, Stefan Wallner, Judy Wang, Dawn M Waterworth, Harvey D White, Cristen J Willer, Tien-Yin Wong, Mark Woodward, Qiong Yang, Laura M Yerges-Armstrong, Martina Zimmermann, Alan B Zonderman, Tobias Bergler, Kari Stefansson, Carsten A Böger, Cristian Pattaro, Anna Köttgen, Florian Kronenberg, Iris M Heid

Faculty, Staff and Student Publications

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine …

Patient-Specific Genome-Scale Metabolic Models For Individualized Predictions Of Liver Disease, Alexandra Manchel, Jan B. Hoek, Ramon Bataller, Radhakrishnan Mahadevan, Rajanikanth Vadigepalli

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The prevalence of liver disease is steadily increasing, coupled with the limited availability of therapeutic treatments. Recent literature points to metabolic reprogramming as a key feature of liver failure. Hence, we sought to uncover the metabolic pathways and mechanisms associated with liver disease and acute liver failure. We generated patient-specific genome scale metabolic models by integrating RNA-seq data from patient liver samples with a generalized human metabolic model. Flux balance analysis simulations showed a distinct separation of non-alcohol associated and alcohol-associated disease states. Our analysis suggests that the alcohol associated liver has an increased flux through nucleotide and glycerophospholipid metabolic …

Lower Fetal Fraction In Clinical Cell-Free Dna (Cfdna) Screening Results Is Associated With Increased Risk Of Hypertensive Disorders Of Pregnancy, Deeksha Madala, Mohamad Ali Maktabi, Riwa Sabbagh, Hadi Erfani, Andrea Moon, Ignatia B Van Den Veyver

Faculty, Staff and Students Publications

OBJECTIVE: To evaluate if fetal fraction (FF) reported on cell-free DNA (cfDNA) screening is a marker for adverse obstetric outcomes.

METHODS: We retrospectively reviewed medical records from a cohort of women with singleton pregnancies who had cfDNA screening. We evaluated if reported FF could predict the following pregnancy complications: hypertensive disorders of pregnancy (HDP), fetal growth restriction, preterm delivery, gestational diabetes mellitus, or a composite maternal morbidity, defined as the presence of at least one of these outcomes.

RESULTS: Receiver operating curve analysis was performed on FF from 534 women to define the FF that differentiated a low FF group …

Evaluation Of Vicinity-Based Hidden Markov Models For Genotype Imputation, Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci

Faculty, Staff and Student Publications

BACKGROUND: The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype-phenotype relationships, the cost of performing whole-genome sequencing on large samples is still prohibitive. In-silico genotype imputation coupled with genotyping-by-arrays is a cost-effective and accurate alternative for genotyping of common and uncommon variants. Imputation methods compare the genotypes of the typed variants with the large population-specific reference panels and estimate the genotypes of untyped variants by making use of the linkage disequilibrium patterns. Most accurate imputation methods are based on the Li-Stephens hidden Markov …

Prenatal And Pregnancy Loss Evaluation By Noninvasive Screening And Diagnostic Genetic Testing, Abigail Haggerty

Theses & Dissertations

Noninvasive prenatal testing (NIPT) utilizing cell-free fetal DNA (cffDNA) in the maternal blood is the screening test of choice for physicians today. NIPT depends on the amount of cffDNA in the maternal blood, called the fetal fraction (FF). Researchers are investigating the implications of the FF value in reference to multiple variables in pregnancy outcome, including the risk for aneuploidy and maternal factors that influence the FF.

Diagnostic techniques utilized in patient care include cytogenetics, fluorescence in-situ hybridization (FISH), and microarray. Diagnostic testing is critical to confirm or rule out genetic abnormalities among women with abnormal screening results, …

Ewing Sarcoma Transcriptome: Identification Of Foxn3 As A Novel Target Of Ews-Fli1, Natasha Kreiling

Theses & Dissertations

Ewing Sarcoma is an aggressive cancer characterized by a fusion gene formed from a chromosomal translocation between a RNA binding protein and a transcription factor. The most common fusion gene is EWS-FLI1 a potent oncogenic transcription factor responsible for initiating genome instability. EWS-FLI1 promotes tumor growth by dysregulating several genes and pathways. We have identified FOXN3, an important gene in cell cycle control and development, as being suppressed by EWS-FLI1. In the future, a better understanding of FOXN3 and its ability to act as a tumor suppressor in EWS will unravel novel mechanisms of EWS pathogenesis, potential biomarker and drug …

A Multi-Layer Functional Genomic Analysis To Understand Noncoding Genetic Variation In Lipids, Shweta Ramdas, Jonathan Judd, Sarah E Graham, Stavroula Kanoni, Yuxuan Wang, Ida Surakka, Brandon Wenz, Shoa L Clarke, Alessandra Chesi, Andrew Wells, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W Winkler, Adam E Locke, Eirini Marouli, Greg J M Zajac, Kuan-Han H Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M Brumpton, Humaira Rasheed, Aki S Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A Rosenthal, Todd Lingren, Qiping Feng, Iftikhar J Kullo, Akira Narita, Jun Takayama, Hilary C Martin, Karen A Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E Miller, Archie Campbell, Kuang Lin, Iona Y Millwood, Asif Rasheed, George Hindy, Jessica D Faul, Wei Zhao, David R Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R Brown, Weihua Zhang, Ketian Yu, Ellen M Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian'an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R Wood, Yingji Ji, Zishan Gao, Simon Haworth, Ruth E Mitchell, Jin Fang Chai, Mette Aadahl, Anne A Bjerregaard, Jie Yao, Ani Manichaikul, Wen-Jane Lee, Chao Agnes Hsiung, Helen R Warren, Julia Ramirez, Jette Bork-Jensen, Line L Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F Mcdaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Sebastian Schönherr, Lukas Forer, Markus Scholz, Tessel E Galesloot, Jonathan P Bradfield, Sanni E Ruotsalainen, E Warwick Daw, Joseph M Zmuda, Jonathan S Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A Brody, Phuong Le, Mary F Feitosa, Mary K Wojczynski, Daiane Hemerich, Michael Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W Benjamins, Jorgen Engmann, Tsao L Noah, Anurag Verma, Roderick C Slieker, Ken Sin Lo, Nuno R Zilhao, Marcus E Kleber, Graciela E Delgado, Shaofeng Huo, Daisuke D Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L Leonard, Jonathan Marten, Carina Emmel, Börge Schmidt, Laura J Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S Nongmaithem, Alagu Sankareswaran, Marguerite R Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R H J Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C Warner, Ya Xing Wang, Wen B Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A Kentistou, Bernhard Banas, Anna Morgan, Karina Meidtner, Lawrence F Bielak, Jennifer A Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J Van Der Most, Niina Pitkänen, Brian E Cade, Sander W Van Der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R Bentley, Ayo P Doumatey, Adebowale A Adeyemo, Jong Young Lee, Eva R B Petersen, Aneta A Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W Rayner, Carol A Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O Obura, Jessica Van Setten, Karen Y He, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D Jackson, Alexander P Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C Bis, Lenore J Launer, Huaixing Li, Mike A Nalls, Olli T Raitakari, Sahoko Ichihara, Sarah H Wild, Christopher P Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique De Kleijn, Gert J De Borst, Eung Kweon Kim, Hieab H H Adams, M Arfan Ikram, Xiaofeng Zhu, Folkert W Asselbergs, Adriaan O Kraaijeveld, Joline W J Beulens, Xiao-Ou Shu, Loukianos S Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E Pennell, Trevor A Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M Heid, Klaus J Stark, Martina E Zimmermann, Henry Völzke, Georg Homuth, Michele K Evans, Alan B Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E Hoefer, Susan Redline, Katja Pahkala, Albertine J Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Patricia A Peyser, Norihiro Kato, Matthias B Schulze, Giorgia Girotto, Carsten A Böger, Bettina Jung, Peter K Joshi, David A Bennett, Philip L De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J Caulfield, Patricia B Munroe, Xiuqing Guo, Marina Ciullo, Jost B Jonas, Nilesh J Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A Aguilar-Salinas, Linda S Adair, Sonny Augustin Bechayda, H Janaka De Silva, Ananda R Wickremasinghe, Ronald M Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke I Den Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G Wilson, Lars Lind, Chew-Kiat Heng, Amanda E Nelson, Yvonne M Golightly, James F Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J Scott, D C Rao, Donna K Arnett, Mark Walker, Laura J Scott, Heikki A Koistinen, Giriraj R Chandak, Josep M Mercader, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, E Shyong Tai, Rob M Van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F Reilly, Amy Jayne Mcknight, Frank Kee, Karl-Heinz Jöckel, Mark I Mccarthy, Colin N A Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M Van Duijn, Zi-Bing Jin, Fan Lu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M T Hart, Petra J M Elders, Daniel J Rader, Scott M Damrauer, Meena Kumari, Mika Kivimaki, Pim Van Der Harst, Tim D Spector, Ruth J F Loos, Michael A Province, Esteban J Parra, Miguel Cruz, Bruce M Psaty, Ivan Brandslund, Peter P Pramstaller, Charles N Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F A Grant, Lambertus Kiemeney, Jacqueline De Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W Franks, Allan Linneberg, J Wouter Jukema, Amit V Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O Mook-Kanamori, Ko Willems Van Dijk, Hugh Watkins, David P Strachan, Niels Grarup, Peter Sever, Neil Poulter, Wayne Huey-Herng Sheu, Jerome I Rotter, Thomas M Dantoft, Fredrik Karpe, Matt J Neville, Nicholas J Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T Hattersley, Nancy L Pedersen, Patrik K E Magnusson, Dorret I Boomsma, Eco J C De Geus, L Adrienne Cupples, Joyce B J Van Meurs, Arfan Ikram, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J Wareham, Claudia Langenberg, Eleftheria Zeggini, Jaakko Tuomilehto, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C Chambers, Jaspal S Kooner, Paul S De Vries, Alanna C Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E North, Martha Daviglus, Peter Kraft, Nicholas G Martin, John B Whitfield, Shahid Abbas, Danish Saleheen, Robin G Walters, Michael V Holmes, Corri Black, Blair H Smith, Aris Baras, Anne E Justice, Julie E Buring, Paul M Ridker, Daniel I Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A Van Heel, Richard C Trembath, Wei-Qi Wei, Gail P Jarvik, Bahram Namjou, M Geoffrey Hayes, Marylyn D Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, Y Eugene Chen, Yuk-Lam Ho, Julie A Lynch, Philip S Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J O'Donnell, John M Gaziano, Peter Wilson, Karen L Mohlke, Timothy M Frayling, Joel N Hirschhorn, Sekar Kathiresan, Michael Boehnke, Million Veterans Program, Global Lipids Genetics Consortium, Struan Grant, Pradeep Natarajan, Yan V Sun, Andrew P Morris, Panos Deloukas, Gina Peloso, Themistocles L Assimes, Cristen J Willer, Xiang Zhu, Christopher D Brown

Faculty, Staff and Student Publications

A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective …