Genetic Processes Commons^™

Improved Allele Frequencies In Gnomad Through Local Ancestry Inference, Pragati Kore, Michael W Wilson, Grace Tiao, Katherine Chao, Philip W Darnowsky, Nicholas A Watts, Jessica Honorato Mauer, Samantha M Baxter, Genome Aggregation Database Consortium, Heidi L Rehm, Mark J Daly, Konrad J Karczewski, Elizabeth G Atkinson

Faculty, Staff and Students Publications

The Genome Aggregation Database (gnomAD) is a foundational resource for allele frequency data, widely used in genomic research and clinical interpretation. However, traditional estimates rely on individual-level genetic ancestry groupings that may obscure variation in recently admixed populations. To improve resolution, we applied local ancestry inference (LAI) to over 27 million variants in two admixed groups: Admixed American (n = 7612) and African/African American (n = 20,250), deriving ancestry-specific allele frequencies. We show that 78.5% and 85.1% of variants in these groups, respectively, exhibit at least a twofold difference in ancestry-specific frequencies. Moreover, 81.49% of variants with LAI information would …

First Assembly Of A Draft Genome Of The Critically Endangered Northern Muriqui ( Brachyteles Hypoxanthus , Primates, Atelidae) Including Non‐Invasive Genotyping Strategies For The Species, Amanda Alves De Melo-Ximenes, Romina Batista, Leonardo Carlos Jeronimo Corvalán, Tomas Marques-Bonet, Lukas Kuderna, Kyle Farh, Jeffrey Rogers, Mariane Da Cruz Kaizer, Jean Philippe Boubli, Fabiano Rodrigues De Melo, Rhewter Nunes, Mariana Pires De Campos Telles

Faculty, Staff and Students Publications

Genomic resources, such as draft genomes, are vital for biodiversity monitoring and conservation. For endangered species, they enable the development of tools like organellar genomes and molecular markers, which are crucial for population genetics. Advances in sequencing technologies now allow high‐throughput genotyping with detailed amplicon sequences, enhancing genetic variation studies. The northern muriqui ( Brachyteles hypoxanthus ), a critically endangered primate endemic to Brazil's Atlantic Forest, currently lacks both nuclear and mitochondrial genome data and species‐specific microsatellite markers for population genetic studies. We assembled a 2.52 Gb draft genome for B. hypoxanthus with 202,243 contigs (N50 = 29,134 bp), and …

Comprehensive Genome Analysis And Variant Detection At Scale Using Dragen, Sairam Behera, Severine Catreux, Massimiliano Rossi, Sean Truong, Zhuoyi Huang, Michael Ruehle, Arun Visvanath, Gavin Parnaby, Cooper Roddey, Vitor Onuchic, Andrea Finocchio, Daniel L Cameron, Adam English, Shyamal Mehtalia, James Han, Rami Mehio, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Research and medical genomics require comprehensive, scalable methods for the discovery of novel disease targets, evolutionary drivers and genetic markers with clinical significance. This necessitates a framework to identify all types of variants independent of their size or location. Here we present DRAGEN, which uses multigenome mapping with pangenome references, hardware acceleration and machine learning-based variant detection to provide insights into individual genomes, with ~30 min of computation time from raw reads to variant detection. DRAGEN outperforms current state-of-the-art methods in speed and accuracy across all variant types (single-nucleotide variations, insertions or deletions, short tandem repeats, structural variations and copy …

Mapping Mave Data For Use In Human Genomics Applications, Jeremy A Arbesfeld, Estelle Y Da, James S Stevenson, Kori Kuzma, Anika Paul, Tierra Farris, Benjamin J Capodanno, Sally B Grindstaff, Kevin Riehle, Nuno Saraiva-Agostinho, Jordan F Safer, Jonathan Casper, Maximilian Haeussler, Aleksandar Milosavljevic, Julia Foreman, Helen V Firth, Sarah E Hunt, Sumaiya Iqbal, Melissa S Cline, Alan F Rubin, Alex H Wagner

Faculty, Staff and Students Publications

Background: Experimental data from functional assays have a critical role in interpreting the impact of genetic variants. Assay data must be unambiguously mapped to a reference genome to make it accessible, but it is often reported relative to assay-specific sequences, complicating downstream use and integration of variant data across resources. To make multiplexed assays of variant effect (MAVE) data more broadly available to the research and clinical communities, the Atlas of Variant Effects Alliance mapped MAVE data from the MaveDB community database to human reference sequences, creating an extensive set of machine-readable homology mappings that are incorporated into widely used …

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

Dissertations and Theses (Open Access)

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

Psychiatric Genetics In The Diverse Landscape Of Latin American Populations, Estela M Bruxel, Diego L Rovaris, Sintia I Belangero, Gabriela Chavarría-Soley, Alfredo B Cuellar-Barboza, José J Martínez-Magaña, Sheila T Nagamatsu, Caroline M Nievergelt, Diana L Núñez-Ríos, Vanessa K Ota, Roseann E Peterson, Laura G Sloofman, Amy M Adams, Elinette Albino, Angel T Alvarado, Diego Andrade-Brito, Paola Y Arguello-Pascualli, Cibele E Bandeira, Claiton H D Bau, Cynthia M Bulik, Joseph D Buxbaum, Carolina Cappi, Nadia S Corral-Frias, Alejo Corrales, Fabiana Corsi-Zuelli, James J Crowley, Renata B Cupertino, Bruna S Da Silva, Suzannah S De Almeida, Juan F De La Hoz, Diego A Forero, Gabriel R Fries, Joel Gelernter, Yeimy González-Giraldo, Eugenio H Grevet, Dorothy E Grice, Adriana Hernández-Garayua, John M Hettema, Agustín Ibáñez, Iuliana Ionita-Laza, Maria Claudia Lattig, Yago C Lima, Yi-Sian Lin, Sandra López-León, Camila M Loureiro, Verónica Martínez-Cerdeño, Gabriela A Martínez-Levy, Kyle Melin, Daniel Moreno-De-Luca, Carolina Muniz Carvalho, Ana Maria Olivares, Victor F Oliveira, Rafaella Ormond, Abraham A Palmer, Alana C Panzenhagen, Maria Rita Passos-Bueno, Qian Peng, Eduardo Pérez-Palma, Miguel L Prieto, Panos Roussos, Sandra Sanchez-Roige, Hernando Santamaría-García, Flávio M Shansis, Rachel R Sharp, Eric A Storch, Maria Eduarda A Tavares, Grace E Tietz, Bianca A Torres-Hernández, Luciana Tovo-Rodrigues, Pilar Trelles, Eva M Trujillo-Chivacuan, Maria M Velásquez, Fernando Vera-Urbina, Georgios Voloudakis, Talia Wegman-Ostrosky, Jenny Zhen-Duan, Hang Zhou, Latin American Genomics Consortium, Marcos L Santoro, Humberto Nicolini, Elizabeth G Atkinson, Paola Giusti-Rodríguez, Janitza L Montalvo-Ortiz

Faculty, Staff and Students Publications

Psychiatric disorders are highly heritable and polygenic, influenced by environmental factors and often comorbid. Large-scale genome-wide association studies (GWASs) through consortium efforts have identified genetic risk loci and revealed the underlying biology of psychiatric disorders and traits. However, over 85% of psychiatric GWAS participants are of European ancestry, limiting the applicability of these findings to non-European populations. Latin America and the Caribbean, regions marked by diverse genetic admixture, distinct environments and healthcare disparities, remain critically understudied in psychiatric genomics. This threatens access to precision psychiatry, where diversity is crucial for innovation and equity. This Review evaluates the current state and …

A Hitchhiker’S Guide To Long-Read Genomic Analysis, Medhat Mahmoud, Daniel P Agustinho, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Over the past decade, long-read sequencing has evolved into a pivotal technology for uncovering the hidden and complex regions of the genome. Significant cost efficiency, scalability, and accuracy advancements have driven this evolution. Concurrently, novel analytical methods have emerged to harness the full potential of long reads. These advancements have enabled milestones such as the first fully completed human genome, enhanced identification and understanding of complex genomic variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly …

Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Qiuhui Li, Ayse G Keskus, Justin Wagner, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz

Faculty, Staff and Students Publications

Cancer is fundamentally a disease of the genome, characterized by extensive genomic, transcriptomic, and epigenomic alterations. Most current studies predominantly use short-read sequencing, gene panels, or microarrays to explore these alterations; however, these technologies can systematically miss or misrepresent certain types of alterations, especially structural variants, complex rearrangements, and alterations within repetitive regions. Long-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the genome, transcriptome, and epigenome, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long-read sequencing for both …

K-Mer Analysis Of Long-Read Alignment Pileups For Structural Variant Genotyping, Adam C English, Fabio Cunial, Ginger A Metcalf, Richard A Gibbs, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Accurately genotyping structural variant (SV) alleles is crucial to genomics research. We present a novel method (kanpig) for genotyping SVs that leverages variant graphs and k-mer vectors to rapidly generate accurate SV genotypes. Benchmarking against the latest SV datasets shows kanpig achieves a single-sample genotyping concordance of 82.1%, significantly outperforming existing tools, which average 66.3%. We explore kanpig's use for multi-sample projects by testing on 47 genetically diverse samples and find kanpig accurately genotypes complex loci (e.g. SVs neighboring other SVs), and produces higher genotyping concordance than other tools. Kanpig requires only 43 seconds to process a single sample's 20x …

Analysis And Benchmarking Of Small And Large Genomic Variants Across Tandem Repeats, Adam C English, Egor Dolzhenko, Helyaneh Ziaei Jam, Sean K Mckenzie, Nathan D Olson, Wouter De Coster, Jonghun Park, Bida Gu, Justin Wagner, Michael A Eberle, Melissa Gymrek, Mark J P Chaisson, Justin M Zook, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Tandem repeats (TRs) are highly polymorphic in the human genome, have thousands of associated molecular traits and are linked to over 60 disease phenotypes. However, they are often excluded from at-scale studies because of challenges with variant calling and representation, as well as a lack of a genome-wide standard. Here, to promote the development of TR methods, we created a catalog of TR regions and explored TR properties across 86 haplotype-resolved long-read human assemblies. We curated variants from the Genome in a Bottle (GIAB) HG002 individual to create a TR dataset to benchmark existing and future TR analysis methods. We …

Genomics And Multiomics In The Age Of Precision Medicine, Srinivasan Mani, Seema R Lalani, Mohan Pammi

Faculty, Staff and Students Publications

Precision medicine is a transformative healthcare model that utilizes an understanding of a person's genome, environment, lifestyle, and interplay to deliver customized healthcare. Precision medicine has the potential to improve the health and productivity of the population, enhance patient trust and satisfaction in healthcare, and accrue health cost-benefits both at an individual and population level. Through faster and cost-effective genomics data, next-generation sequencing has provided us the impetus to understand the nuances of complex interactions between genes, diet, and lifestyle that are heterogeneous across the population. The emergence of multiomics technologies, including transcriptomics, proteomics, epigenomics, metabolomics, and microbiomics, has enhanced …

Families’ Experiences Accessing Care After Genomic Sequencing In The Pediatric Cancer Context: “It’S Just Been A Big Juggle”, Blake Vuocolo, Amanda M Gutierrez, Jill O Robinson, Alva M Recinos, Lauren R Desrosiers, Mary A Majumder, Juan Carlos Bernini, Jonathan Gill, Timothy Griffin, Gail E Tomlinson, Kelly Vallance, Amy L Mcguire, D Williams Parsons, Sharon E Plon, Sarah Scollon

Faculty, Staff and Students Publications

Access to genomic sequencing (GS) and resulting recommendations have not been well described in pediatric oncology. GS results may provide a cancer predisposition syndrome (CPS) diagnosis that warrants screening and specialist visits beyond cancer treatment, including testing or surveillance for family members. The Texas KidsCanSeq (KCS) Study evaluated implementation of GS in a diverse pediatric oncology population. We conducted semi-structured interviews (n = 20) to explore experiences of KCS patients' families around learning about a CPS diagnosis and following up on recommended care. We used qualitative content analysis to develop themes and subthemes across families' descriptions of their experiences accessing …

Secondary Acmg And Non-Acmg Genetic Findings In A Multiethnic Cohort Of 16,713 Pediatric Participants, Amir Hossein Saeidian, Michael E March, Leila Youssefian, Deborah J Watson, Esha Bhandari, Xiang Wang, Xiaonan Zhao, Nichole Marie Owen, Alanna Strong, Margaret H Harr, Elizabeth Bhoj, Elaine Zackai, Hassan Vahidnezhad, Johann E Gudjonsson, Stephen D Cederbaum, Joshua L Deignan, Joseph Glessner, Wayne W Grody, Hakon Hakonarson

Faculty, Staff and Students Publications

Purpose: Clinical next-generation sequencing is an effective approach for identifying pathogenic sequence variants that are medically actionable for participants and families but are not associated with the participant's primary diagnosis. These variants are called secondary findings (SFs). According to the literature, there is no report of the types and frequencies of SFs in a large pediatric cohort that includes substantial African-American participants. We sought to investigate the types (including American College of Medical Genetics and Genomics [ACMG] and non-ACMG-recommended gene lists), frequencies, and rates of SFs, as well as the effects of SF disclosure on the participants and families of …

Reconstructing Oral Cavity Tumor Evolution Through Brush Biopsy, Evit John, Tom Lesluyes, Toby M Baker, Maxime Tarabichi, Ann Gillenwater, Jennifer R Wang, Peter Van Loo, Xiao Zhao

Faculty, Staff and Student Publications

Oral potentially malignant disorders (OPMDs) with genomic alterations have a heightened risk of evolving into oral squamous cell carcinoma (OSCC). Currently, genomic data are typically obtained through invasive tissue biopsy. However, brush biopsy is a non-invasive method that has been utilized for identifying dysplastic cells in OPMD but its effectiveness in reflecting the genomic landscape of OPMDs remains uncertain. This pilot study investigates the potential of brush biopsy samples in accurately reconstructing the genomic profile and tumor evolution in a patient with both OPMD and OSCC. We analyzed single nucleotide variants (SNVs), copy number aberrations (CNAs), and subclonal architectures in …

Satisfaction With Mode Of Delivery Of Genomic Sequencing Results In A Diverse National Sample Of Research Participants Through The Clinical Sequencing Evidence-Generating Research Consortium, Sarah Scollon, Jill O Robinson, Eunji Jo, Sabrina A Suckiel, Laura M Amendola, Ann Katherine M Foreman, Gail P Jarvik, Christine Rini, Tao Wang, Anne Slavotinek

Faculty, Staff and Students Publications

Purpose: Research that includes diverse patient populations is necessary to optimize implementation of telehealth.

Methods: As part of a Clinical Sequencing Evidence-Generating Research Consortium cross-site study, we assessed satisfaction with mode of return of results (RoR) delivery across a diverse sample of participants receiving genetic testing results in person vs telemedicine (TM).

Results: Ninety-eight percent of participants were satisfied with their mode of results delivery. Participants receiving results by TM were more likely to report a preference for receiving results in a different way and challenges with providers noticing difficulties with understanding. More than 90% reported satisfaction across all items …

Improving Access To Exome Sequencing In A Medically Underserved Population Through The Texome Project, Blake Vuocolo, Ryan J German, Seema R Lalani, Chaya N Murali, Carlos A Bacino, Stephanie Baskin, Rebecca Littlejohn, John D Odom, Scott Mclean, Carrie Schmid, Morgan Nutter, Melissa Stuebben, Emily Magness, Olivia Juarez, Dina El Achi, Bailey Mitchell, Kevin E Glinton, Laurie Robak, Sandesh C S Nagamani, Lisa Saba, Adasia Ritenour, Lilei Zhang, Haley Streff, Katie Chan, K Jordan Kemere, Kent Carter, Texome Project, Nichole Owen, Liesbeth Vossaert, Pengfei Liu, Hugo Bellen, Michael F Wangler

Faculty, Staff and Students Publications

PURPOSE: Genomic medicine can end diagnostic odysseys for patients with complex phenotypes; however, limitations in insurance coverage and other systemic barriers preclude individuals from accessing comprehensive genetics evaluation and testing.

METHODS: The Texome Project is a 4-year study that reduces barriers to genomic testing for individuals from underserved and underrepresented populations. Participants with undiagnosed, rare diseases who have financial barriers to obtaining exome sequencing (ES) clinically are enrolled in the Texome Project.

RESULTS: We highlight the Texome Project process and describe the outcomes of the first 60 ES results for study participants. Participants received a genetic evaluation, ES, and return …

Accelerated Somatic Mutation Calling For Whole-Genome And Whole-Exome Sequencing Data From Heterogenous Tumor Samples, Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

Faculty, Staff and Student Publications

Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing …

Genomic Signatures Of Strawberry Domestication And Diversification, Zhen Fan, Vance M Whitaker

Faculty, Staff and Student Publications

Cultivated strawberry (Fragaria × ananassa) has a brief history of less than 300 yr, beginning with the hybridization of octoploids Fragaria chiloensis and Fragaria virginiana. Here we explored the genomic signatures of early domestication and subsequent diversification for different climates using whole-genome sequences of 289 wild, heirloom, and modern varieties from two major breeding programs in the United States. Four nonadmixed wild octoploid populations were identified, with recurrent introgression among the sympatric populations. The proportion of F. virginiana ancestry increased by 20% in modern varieties over initial hybrids, and the proportion of F. chiloensis subsp. pacifica rose from 0% to …

Federated Generalized Linear Mixed Models For Collaborative Genome-Wide Association Studies, Wentao Li, Han Chen, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

Federated association testing is a powerful approach to conduct large-scale association studies where sites share intermediate statistics through a central server. There are, however, several standing challenges. Confounding factors like population stratification should be carefully modeled across sites. In addition, it is crucial to consider disease etiology using flexible models to prevent biases. Privacy protections for participants pose another significant challenge. Here, we propose distributed Mixed Effects Genome-wide Association study (dMEGA), a method that enables federated generalized linear mixed model-based association testing across multiple sites without explicitly sharing genotype and phenotype data. dMEGA employs a reference projection to …

Phylogenomic Analyses Provide Insights Into Primate Evolution, Yong Shao, Long Zhou, Fang Li, Lan Zhao, Bao-Lin Zhang, Feng Shao, Jia-Wei Chen, Chun-Yan Chen, Xupeng Bi, Xiao-Lin Zhuang, Hong-Liang Zhu, Jiang Hu, Zongyi Sun, Xin Li, Depeng Wang, Iker Rivas-González, Sheng Wang, Yun-Mei Wang, Wu Chen, Gang Li, Hui-Meng Lu, Yang Liu, Lukas F K Kuderna, Kyle Kai-How Farh, Peng-Fei Fan, Li Yu, Ming Li, Zhi-Jin Liu, George P Tiley, Anne D Yoder, Christian Roos, Takashi Hayakawa, Tomas Marques-Bonet, Jeffrey Rogers, Peter D Stenson, David N Cooper, Mikkel Heide Schierup, Yong-Gang Yao, Ya-Ping Zhang, Wen Wang, Xiao-Guang Qi, Guojie Zhang, Dong-Dong Wu

Faculty, Staff and Students Publications

Comparative analysis of primate genomes within a phylogenetic context is essential for understanding the evolution of human genetic architecture and primate diversity. We present such a study of 50 primate species spanning 38 genera and 14 families, including 27 genomes first reported here, with many from previously less well represented groups, the New World monkeys and the Strepsirrhini. Our analyses reveal heterogeneous rates of genomic rearrangement and gene evolution across primate lineages. Thousands of genes under positive selection in different lineages play roles in the nervous, skeletal, and digestive systems and may have contributed to primate innovations and adaptations. Our …

Using Cancer Proteomics Data To Identify Gene Candidates For Therapeutic Targeting, Diana Monsivais, Sydney E Parks, Darshan S Chandrashekar, Sooryanarayana Varambally, Chad J Creighton

Faculty, Staff and Students Publications

Gene-level associations obtained from mass-spectrometry-based cancer proteomics datasets represent a resource for identifying gene candidates for functional studies. When recently surveying proteomic correlates of tumor grade across multiple cancer types, we identified specific protein kinases having a functional impact on uterine endometrial cancer cells. This previously published study provides just one template for utilizing public molecular datasets to discover potential novel therapeutic targets and approaches for cancer patients. Proteomic profiling data combined with corresponding multi-omics data on human tumors and cell lines can be analyzed in various ways to prioritize genes of interest for interrogating biology. Across hundreds of cancer …

Genomic-Transcriptomic Evolution In Lung Cancer And Metastasis, Carlos Martínez-Ruiz, James R M Black, Clare Puttick, Mark S Hill, Jonas Demeulemeester, Elizabeth Larose Cadieux, Kerstin Thol, Thomas P Jones, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Paulina Prymas, Andrew Rowan, Sophia Ward, Laura Cubitt, Foteini Athanasopoulou, Oriol Pich, Takahiro Karasaki, David A Moore, Roberto Salgado, Emma Colliver, Carla Castignani, Michelle Dietzen, Ariana Huebner, Maise Al Bakir, Miljana Tanić, Thomas B K Watkins, Emilia L Lim, Ali M Al-Rashed, Danny Lang, James Clements, Daniel E Cook, Rachel Rosenthal, Gareth A Wilson, Alexander M Frankell, Sophie De Carné Trécesson, Philip East, Nnennaya Kanu, Kevin Litchfield, Nicolai J Birkbak, Allan Hackshaw, Stephan Beck, Peter Van Loo, Mariam Jamal-Hanjani, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression …

Solid Organ Transplantation In Methylmalonic Acidemia And Propionic Acidemia: A Points To Consider Statement Of The American College Of Medical Genetics And Genomics (Acmg), Kuntal Sen, Lindsay C Burrage, Kimberly A Chapman, Ilona Ginevic, George V Mazariegos, Brett H Graham, Acmg Therapeutics Committe

Faculty, Staff and Students Publications

No abstract provided.

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 …

Retrospective Genomics Highlights Changes In Genetic Composition Of Tiger Sharks (Galeocerdo Cuvier) And Potential Loss Of A South-Eastern Australia Population, Alice Manuzzi, Belen Jiménez-Mena, Romina Henriques, Bonnie J Holmes, Julian Pepperell, Janette Edson, Mike B Bennett, Charlie Huveneers, Jennifer R Ovenden, Einar E Nielsen

Staff and Researcher Publications

Over the last century, many shark populations have declined, primarily due to overexploitation in commercial, artisanal and recreational fisheries. In addition, in some locations the use of shark control programs also has had an impact on shark numbers. Still, there is a general perception that populations of large ocean predators cover wide areas and therefore their diversity is less susceptible to local anthropogenic disturbance. Here we report on temporal genomic analyses of tiger shark (Galeocerdo cuvier) DNA samples that were collected from eastern Australia over the past century. Using Single Nucleotide Polymorphism (SNP) loci, we documented a significant change in …

Nrf1 Association With Auts2-Polycomb Mediates Specific Gene Activation In The Brain, Sanxiong Liu, Kimberly A Aldinger, Chi Vicky Cheng, Takae Kiyama, Mitali Dave, Hanna K Mcnamara, Wukui Zhao, James M Stafford, Nicolas Descostes, Pedro Lee, Stefano G Caraffi, Ivan Ivanovski, Edoardo Errichiello, Christiane Zweier, Orsetta Zuffardi, Michael Schneider, Antigone S Papavasiliou, M Scott Perry, Jennifer Humberson, Megan T Cho, Astrid Weber, Andrew Swale, Tudor C Badea, Chai-An Mao, Livia Garavelli, William B Dobyns, Danny Reinberg

Faculty, Staff and Student Publications

The heterogeneous family of complexes comprising Polycomb repressive complex 1 (PRC1) is instrumental for establishing facultative heterochromatin that is repressive to transcription. However, two PRC1 species, ncPRC1.3 and ncPRC1.5, are known to comprise novel components, AUTS2, P300, and CK2, that convert this repressive function to that of transcription activation. Here, we report that individuals harboring mutations in the HX repeat domain of AUTS2 exhibit defects in AUTS2 and P300 interaction as well as a developmental disorder reflective of Rubinstein-Taybi syndrome, which is mainly associated with a heterozygous pathogenic variant in CREBBP/EP300. Moreover, the absence of AUTS2 or mutation in its …

Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild

Pharmacy Faculty Articles and Research

Background
The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.

Methods
Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection …

Pharmacogenomic Management Of Familial Hypercholesterolemia: An Integrative Review Of The Literature, Brian V. Skibo

Honors Undergraduate Theses

The purpose of this thesis is to examine familial hypercholesterolemia (FH) and emerging pharmacogenomics therapies that propose to lower serum low density lipid (LDL) levels. The search of various data bases resulted in nine research articles being selected for review. Syntheses of the articles suggest emerging phamacogenomic drug therapy can improve treatment outcomes for individuals with a diagnosis of FH. The Human Genome Project (HGP) has had far reaching applications for genomic technologies and pharmacagenomic interventions, tailored to human conditions associated with select genomic traits. Synthesis of nine research articles demonstrate that little is known on the topic and reveals …