Genomics Commons^™

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

Electronic Theses and Dissertations

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

Physio-Psycho-Social Interaction Mechanism In Dyadic Health Of Young And Middle-Aged Stroke Survivors And Their Spousal Caregivers: A Longitudinal Observational Study Protocol, Dandan Xiang, Zhen-Xiang Zhang, Song Ge, Wen Na Wang, Bei-Lei Lin, Su-Yan Chen, Er-Feng Guo, Peng-Bo Zhang, Zhi-Wei Liu, Hui Li, Yong-Xia Mei

Faculty, Staff and Student Publications

Introduction: In recent years, stroke has become more common among young people. Stroke not only has a profound impact on patients' health but also incurs stress and health threats to their caregivers, especially spousal caregivers. Moreover, the health of stroke survivors and their caregivers is interdependent. To our knowledge, no study has explored dyadic health of young and middle-aged stroke survivors and their spousal caregivers from physiological, psychological and social perspectives. Therefore, this proposed study aims to explore the mechanism of how physiological, psychological and social factors affect dyadic health of young and middle-aged stroke survivors and their spousal caregivers. …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Rare Variant Enrichment Analysis Supports Greb1l As A Contributory Driver Gene In The Etiology Of Mayer-Rokitansky-Küster-Hauser Syndrome, Angad Jolly, Haowei Du, Christelle Borel, Na Chen, Sen Zhao, Christopher M Grochowski, Ruizhi Duan, Jawid M Fatih, Moez Dawood, Sejal Salvi, Shalini N Jhangiani, Donna M Muzny, André Koch, Konstantinos Rouskas, Stavros Glentis, Efthymios Deligeoroglou, Flora Bacopoulou, Carol A Wise, Jennifer E Dietrich, Ignatia B Van Den Veyver, Antigone S Dimas, Sara Brucker, V Reid Sutton, Richard A Gibbs, Stylianos E Antonarakis, Nan Wu, Zeynep H Coban-Akdemir, Lan Zhu, Jennifer E Posey, James R Lupski

Faculty, Staff and Student Publications

Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is characterized by aplasia of the female reproductive tract; the syndrome can include renal anomalies, absence or dysgenesis, and skeletal anomalies. While functional models have elucidated several candidate genes, only WNT4 (MIM: 603490) variants have been definitively associated with a subtype of MRKH with hyperandrogenism (MIM: 158330). DNA from 148 clinically diagnosed MRKH probands across 144 unrelated families and available family members from North America, Europe, and South America were exome sequenced (ES) and by family-based genomics analyzed for rare likely deleterious variants. A replication cohort consisting of 442 Han Chinese individuals with MRKH was …

Srtsim: Spatial Pattern Preserving Simulations For Spatially Resolved Transcriptomics, Jiaqiang Zhu, Lulu Shang, Xiang Zhou

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT)-specific computational methods are often developed, tested, validated, and evaluated in silico using simulated data. Unfortunately, existing simulated SRT data are often poorly documented, hard to reproduce, or unrealistic. Single-cell simulators are not directly applicable for SRT simulation as they cannot incorporate spatial information. We present SRTsim, an SRT-specific simulator for scalable, reproducible, and realistic SRT simulations. SRTsim not only maintains various expression characteristics of SRT data but also preserves spatial patterns. We illustrate the benefits of SRTsim in benchmarking methods for spatial clustering, spatial expression pattern detection, and cell-cell communication identification.

A Biallelic Frameshift Indel In Ppp1r35 As A Cause Of Primary Microcephaly, Moez Dawood, Gulsen Akay, Tadahiro Mitani, Dana Marafi, Jawid M Fatih, Alper Gezdirici, Hossein Najmabadi, Kimia Kahrizi, Jaya Punetha, Christopher M Grochowski, Haowei Du, Angad Jolly, He Li, Zeynep Coban-Akdemir, Fritz J Sedlazeck, Jill V Hunter, Shalini N Jhangiani, Donna Muzny, Davut Pehlivan, Jennifer E Posey, Claudia M B Carvalho, Richard A Gibbs, James R Lupski

Faculty, Staff and Student Publications

Protein phosphatase 1 regulatory subunit 35 (PPP1R35) encodes a centrosomal protein required for recruiting microtubule-binding elongation machinery. Several proteins in this centriole biogenesis pathway correspond to established primary microcephaly (MCPH) genes, and multiple model organism studies hypothesize PPP1R35 as a candidate MCPH gene. Here, using exome sequencing (ES) and family-based rare variant analyses, we report a homozygous, frameshifting indel deleting the canonical stop codon in the last exon of PPP1R35 [Chr7: c.753_*3delGGAAGCGTAGACCinsCG (p.Trp251Cysfs*22)]; the variant allele maps in a 3.7 Mb block of absence of heterozygosity (AOH) in a proband with severe MCPH (-4.3 SD at birth, -6.1 SD by …

Braf V600e-Mutant Cancers Treated With Vemurafenib Alone Or In Combination With Everolimus, Sorafenib, Or Crizotinib Or With Paclitaxel And Carboplatin (Vem-Plus) Study, Blessie Elizabeth Nelson, Jason Roszik, Filip Janku, David S Hong, Shumei Kato, Aung Naing, Sarina Piha-Paul, Siqing Fu, Apostolia Tsimberidou, Maria Cabanillas, Naifa Lamki Busaidy, Milind Javle, Lauren Averett Byers, John V Heymach, Funda Meric-Bernstam, Vivek Subbiah

Faculty, Staff and Student Publications

Combined BRAF + MEK inhibition is FDA approved for BRAF V600E-mutant solid tumors except for colorectal cancer. However, beyond MAPK mediated resistance several other mechanisms of resistance such as activation of CRAF, ARAF, MET, P13K/AKT/mTOR pathway exist among other complex pathways. In the VEM-PLUS study, we performed a pooled analysis of four phase one studies evaluating the safety and efficacy of vemurafenib monotherapy and vemurafenib combined with targeted therapies (sorafenib, crizotinib, or everolimus) or carboplatin plus paclitaxel in advanced solid tumors harboring BRAF V600 mutations. When vemurafenib monotherapy was compared with the combination regimens, no significant differences in OS or …

The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris

Faculty, Staff and Student Publications

BACKGROUND: We report the creation and evaluation of a de novo assembly of the genome of the spontaneously hypertensive rat, the most widely used model of human cardiovascular disease.

METHODS: The genome is assembled from long read sequencing (PacBio HiFi and continuous long read data [CLR]) and scaffolded with long-range structural information obtained from Bionano optical maps and proximity ligation sequencing proximity analysis of the genome. The genome assembly was polished with Illumina short reads. Completeness of the assembly was investigated using Benchmarking Universal Single Copy Orthologs analysis. The genome assembly was also evaluated with the rat reference gene set, …

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 …

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 …

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 …

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 …

“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, …

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 …

Accelerated Identification Of Disease-Causing Variants With Ultra-Rapid Nanopore Genome Sequencing, Sneha D Goenka, John E Gorzynski, Kishwar Shafin, Dianna G Fisk, Trevor Pesout, Tanner D Jensen, Jean Monlong, Pi-Chuan Chang, Gunjan Baid, Jonathan A Bernstein, Jeffrey W Christle, Karen P Dalton, Daniel R Garalde, Megan E Grove, Joseph Guillory, Alexey Kolesnikov, Maria Nattestad, Maura R Z Ruzhnikov, Mehrzad Samadi, Ankit Sethia, Elizabeth Spiteri, Christopher J Wright, Katherine Xiong, Tong Zhu, Miten Jain, Fritz J Sedlazeck, Andrew Carroll, Benedict Paten, Euan A Ashley

Faculty, Staff and Students Publications

Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant inprioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches.

Metatranscriptome Of Human Faecal Microbial Communities In A Cohort Of Adult Men, Galeb S. Abu-Ali, Raaj S. Mehta, Jason Lloyd-Price, Himel Mallick, Tobyn Branck, Kerry L. Ivey, David A. Drew, Casey Dulong, Eric Rimm, Jacques Izard, Andrew T. Chan, Curtis Huttenhower

Department of Food Science and Technology: Faculty Publications

The gut microbiome is intimately related to human health, but it is not yet known which functional activities are driven by specific microorganisms' ecological configurations or transcription. We report a large-scale investigation of 372 human fecal metatranscriptomes and 929 metagenomes from a subset of 308 men in the Health Professionals Follow-Up Study. We identified a metatranscriptomic 'core' universally transcribed over time and across participants, often by different microorganisms. In contrast to the housekeeping functions enriched in this core, a 'variable' metatranscriptome included specialized pathways that were differentially expressed both across participants and among microorganisms. Finally, longitudinal metagenomic profiles allowed ecological …

Relating The Metatranscriptome And Metagenome Of The Human Gut, Eric A. Franzosa, Xochitl C. Morgan, Nicola Segata, Levi Waldron, Joshua Reyes, Ashlee M. Earl, Georgia Giannoukos, Matthew R. Boylan, Dawn Ciulla, Dirk Gevers, Jacques Izard, Wendy S. Garrett, Andrew T. Chan, Curtis Huttenhower

Department of Food Science and Technology: Faculty Publications

Although the composition of the human microbiome is now well-studied, the microbiota’s > 8 million genes and their regulation remain largely uncharacterized. This knowledge gap is in part because of the difficulty of acquiring large numbers of samples amenable to functional studies of the microbiota. We conducted what is, to our knowledge, one of the first human microbiome studies in a well-phenotyped prospective cohort incorporating taxonomic, metagenomic, and metatranscriptomic profiling at multiple body sites using self-collected samples. Stool and saliva were provided by eight healthy subjects, with the former preserved by three different methods (freezing, ethanol, and RNAlater) to validate self-collection. …

Metabolic Reconstruction For Metagenomic Data And Its Application To The Human Microbiome, Sahar Abubucker, Nicola Segata, Johannes Goll, Alyxandria M. Schubert, Jacques Izard, Brandi L. Cantarel, Beltran Rodriguez-Mueller, Jeremy Zucker, Mathangi Thiagarajan, Bernard Henrissat, Owen White, Scott T. Scott, Barbara Methé, Patrick D. Schloss, Dirk Gever, Makedonka Mitreva, Curtis Huttenhower

Department of Food Science and Technology: Faculty Publications

Microbial communities carry out the majority of the biochemical activity on the planet, and they play integral roles in processes including metabolism and immune homeostasis in the human microbiome. Shotgun sequencing of such communities’ metagenomes provides information complementary to organismal abundances from taxonomic markers, but the resulting data typically comprise short reads from hundreds of different organisms and are at best challenging to assemble comparably to single-organism genomes. Here, we describe an alternative approach to infer the functional and metabolic potential of a microbial community metagenome. We determined the gene families and pathways present or absent within a community, as …