Genetics and Genomics Commons^™

A Proteogenomics Data-Driven Knowledge Base Of Human Cancer, Yuxing Liao, Sara R Savage, Yongchao Dou, Zhiao Shi, Xinpei Yi, Wen Jiang, Jonathan T Lei, Bing Zhang

Faculty, Staff and Students Publications

By combining mass-spectrometry-based proteomics and phosphoproteomics with genomics, epi-genomics, and transcriptomics, proteogenomics provides comprehensive molecular characterization of cancer. Using this approach, the Clinical Proteomic Tumor Analysis Consortium (CPTAC) has characterized over 1,000 primary tumors spanning 10 cancer types, many with matched normal tissues. Here, we present LinkedOmicsKB, a proteogenomics data-driven knowledge base that makes consistently processed and systematically precomputed CPTAC pan-cancer proteogenomics data available to the public through ∼40,000 gene-, protein-, mutation-, and phenotype-centric web pages. Visualization techniques facilitate efficient exploration and reasoning of complex, interconnected data. Using three case studies, we illustrate the practical utility of LinkedOmicsKB in providing …

Sepepquant Enhances The Detection Of Possible Isoform Regulations In Shotgun Proteomics, Yongchao Dou, Yuejia Liu, Xinpei Yi, Lindsey K Olsen, Hongwen Zhu, Qiang Gao, Hu Zhou, Bing Zhang

Faculty, Staff and Students Publications

Shotgun proteomics is essential for protein identification and quantification in biomedical research, but protein isoform characterization is challenging due to the extensive number of peptides shared across proteins, hindering our understanding of protein isoform regulation and their roles in normal and disease biology. We systematically assess the challenge and opportunities of shotgun proteomics-based protein isoform characterization using in silico and experimental data, and then present SEPepQuant, a graph theory-based approach to maximize isoform characterization. Using published data from one induced pluripotent stem cell study and two human hepatocellular carcinoma studies, we demonstrate the ability of SEPepQuant in addressing the key …

A Multicenter Analysis Of Abnormal Chromosomal Microarray Findings In Congenital Heart Disease, Benjamin J Landis, Lindsey R Helvaty, Gabrielle C Geddes, Jiuann-Huey Ivy Lin, Svetlana A Yatsenko, Cecilia W Lo, William L Border, Stephanie Burns Wechsler, Chaya N Murali, Mahshid S Azamian, Seema R Lalani, Robert B Hinton, Vidu Garg, Kim L Mcbride, Jennelle C Hodge, Stephanie M Ware

Faculty, Staff and Students Publications

Background

Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing cardiac phenotypes in patients with CMA abnormalities have been inconsistent, which may complicate clinical interpretation of abnormal testing results and hinder a more complete understanding of genotype–phenotype relationships.

Methods and Results

Patients with CHD and abnormal clinical CMA were accrued from 9 pediatric cardiac centers. Highly detailed cardiac phenotypes were systematically classified and analyzed for their association with CMA abnormality. Hierarchical classification of each patient into 1 CHD category facilitated broad analyses. Inclusive classification allowing multiple CHD types per …

Single Cell Multiomics Identifies Cells And Genetic Networks Underlying Alveolar Capillary Dysplasia, Minzhe Guo, Kathryn A Wikenheiser-Brokamp, Joseph A Kitzmiller, Cheng Jiang, Guolun Wang, Allen Wang, Sebastian Preissl, Xiaomeng Hou, Justin Buchanan, Justyna A Karolak, Yifei Miao, David B Frank, William J Zacharias, Xin Sun, Yan Xu, Mingxia Gu, Pawel Stankiewicz, Vladimir V Kalinichenko, Jennifer A Wambach, Jeffrey A Whitsett

Faculty, Staff and Students Publications

Rationale

Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a lethal developmental disorder of lung morphogenesis caused by insufficiency of FOXF1 (forkhead box F1) transcription factor function. The cellular and transcriptional mechanisms by which FOXF1 deficiency disrupts human lung formation are unknown.

Objectives

To identify cell types, gene networks, and cell–cell interactions underlying the pathogenesis of ACDMPV.

Methods

We used single-nucleus RNA and assay for transposase-accessible chromatin sequencing, immunofluorescence confocal microscopy, and RNA in situ hybridization to identify cell types and molecular networks influenced by FOXF1 in ACDMPV lungs.

Measurements and Main Results

Pathogenic single-nucleotide variants and copy-number …

Gut Barrier Defects, Intestinal Immune Hyperactivation And Enhanced Lipid Catabolism Drive Lethality In Ngly1-Deficient Drosophila, Ashutosh Pandey, Antonio Galeone, Seung Yeop Han, Benjamin A Story, Gaia Consonni, William F Mueller, Lars M Steinmetz, Thomas Vaccari, Hamed Jafar-Nejad

Faculty, Staff and Students Publications

Intestinal barrier dysfunction leads to inflammation and associated metabolic changes. However, the relative impact of gut bacteria versus non-bacterial insults on animal health in the context of barrier dysfunction is not well understood. Here, we establish that loss of Drosophila N-glycanase 1 (Pngl) in a specific intestinal cell type leads to gut barrier defects, causing starvation and JNK overactivation. These abnormalities, along with loss of Pngl in enterocytes and fat body, result in Foxo overactivation, leading to hyperactive innate immune response and lipid catabolism and thereby contributing to lethality. Germ-free rearing of Pngl mutants rescued their developmental delay but not …

Collagene Enables Privacy-Aware Federated And Collaborative Genomic Data Analysis, Wentao Li, Miran Kim, Kai Zhang, Han Chen, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

Growing regulatory requirements set barriers around genetic data sharing and collaborations. Moreover, existing privacy-aware paradigms are challenging to deploy in collaborative settings. We present COLLAGENE, a tool base for building secure collaborative genomic data analysis methods. COLLAGENE protects data using shared-key homomorphic encryption and combines encryption with multiparty strategies for efficient privacy-aware collaborative method development. COLLAGENE provides ready-to-run tools for encryption/decryption, matrix processing, and network transfers, which can be immediately integrated into existing pipelines. We demonstrate the usage of COLLAGENE by building a practical federated GWAS protocol for binary phenotypes and a secure meta-analysis protocol. COLLAGENE is available at https://zenodo.org/record/8125935 …

Early Onset Horizontal Gaze Palsy And Progressive Scoliosis Due To A Noncanonical Splicing-Site Variant And A Missense Variant In The Robo3 Gene, Sheng Yi, Zailong Qin, Xunzhao Zhou, Junjie Chen, Shang Yi, Qiuli Chen, Limei Huang, Qinle Zhang, Biyan Chen, Jingsi Luo

Faculty, Staff and Student Publications

BACKGROUND: Homozygous or compound heterozygous ROBO3 gene mutations cause horizontal gaze palsy with progressive scoliosis (HGPPS). This is an autosomal recessive disorder that is characterized by congenital absence or severe restriction of horizontal gaze and progressive scoliosis. To date, almost 100 patients with HGPPS have been reported and 55 ROBO3 mutations have been identified.

METHODS: We described an HGPPS patient and performed whole-exome sequencing (WES) to identify the causative gene.

RESULTS: We identified a missense variant and a splice-site variant in the ROBO3 gene in the proband. Sanger sequencing of cDNA revealed the presence of an aberrant transcript with retention …

Phasedancer: A Novel Targeted Assembler Of Segmental Duplications Unravels The Complexity Of The Human Chromosome 2 Fusion Going From 48 To 46 Chromosomes In Hominin Evolution, Barbara Poszewiecka, Krzysztof Gogolewski, Justyna A Karolak, Paweł Stankiewicz, Anna Gambin

Faculty, Staff and Students Publications

Resolving complex genomic regions rich in segmental duplications (SDs) is challenging due to the high error rate of long-read sequencing. Here, we describe a targeted approach with a novel genome assembler PhaseDancer that extends SD-rich regions of interest iteratively. We validate its robustness and efficiency using a golden-standard set of human BAC clones and in silico-generated SDs with predefined evolutionary scenarios. PhaseDancer enables extension of the incomplete complex SD-rich subtelomeric regions of Great Ape chromosomes orthologous to the human chromosome 2 (HSA2) fusion site, informing a model of HSA2 formation and unravelling the evolution of human and Great Ape genomes.

Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease, Dillon Shapiro, Kwanghyuk Lee, Jennifer Asmussen, Thomas Bourquard, Olivier Lichtarge

Faculty, Staff and Students Publications

Background Coronary artery disease is a primary cause of death around the world, with both genetic and environmental risk factors. Although genome-wide association studies have linked >100 unique loci to its genetic basis, these only explain a fraction of disease heritability. Methods and Results To find additional gene drivers of coronary artery disease, we applied machine learning to quantitative evolutionary information on the impact of coding variants in whole exomes from the Myocardial Infarction Genetics Consortium. Using ensemble-based supervised learning, the Evolutionary Action-Machine Learning framework ranked each gene's ability to classify case and control samples and identified 79 significant associations. …

Multivariate Genetic Analysis Of Personality And Cognitive Traits Reveals Abundant Pleiotropy, Guy Hindley, Alexey A Shadrin, Dennis Van Der Meer, Nadine Parker, Weiqiu Cheng, Kevin S O'Connell, Shahram Bahrami, Aihua Lin, Naz Karadag, Børge Holen, Thomas Bjella, Ian J Deary, Gail Davies, W David Hill, Jan Bressler, Sudha Seshadri, Chun Chieh Fan, Torill Ueland, Srdjan Djurovic, Olav B Smeland, Oleksandr Frei, Anders M Dale, Ole A Andreassen

Faculty, Staff and Student Publications

Personality and cognitive function are heritable mental traits whose genetic foundations may be distributed across interconnected brain functions. Previous studies have typically treated these complex mental traits as distinct constructs. We applied the 'pleiotropy-informed' multivariate omnibus statistical test to genome-wide association studies of 35 measures of neuroticism and cognitive function from the UK Biobank (n = 336,993). We identified 431 significantly associated genetic loci with evidence of abundant shared genetic associations, across personality and cognitive function domains. Functional characterization implicated genes with significant tissue-specific expression in all tested brain tissues and brain-specific gene sets. We conditioned independent genome-wide association studies …

Novel Lss Variants In Alopecia And Intellectual Disability Syndrome: New Case Report And Clinical Spectrum Of Lss-Related Rare Disease Traits, Hasnaa M Elbendary, Dana Marafi, Ahmed K Saad, Rasha Elhossini, Ruizhi Duan, Karima Rafat, Shalini N Jhangiani, Richard A Gibbs, Davut Pehlivan, Daniel G Calame, Jennifer E Posey, James R Lupski, Maha S Zaki

Faculty, Staff and Students Publications

Pathogenic biallelic variants in LSS are associated with three Mendelian rare disease traits including congenital cataract type 44, autosomal recessive hypotrichosis type 14, and alopecia-intellectual disability syndrome type 4 (APMR4). We performed trio research exome sequencing on a family with a four-year-old male with global developmental delay, epilepsy and striking alopecia, and identified novel compound heterozygous LSS splice site (c.14+2T>C) and missense (c.1357 G>A; p.V453L) variant alleles. Rare features associated with APMR4 such as cryptorchidism, micropenis, mild cortical brain atrophy and thin corpus callosum were detected. Previously unreported APMR4 findings including cerebellar involvement in the form of unsteady …

Early Initiation Of B-Vitamin Supplementation May Reduce Symptoms And Explain Intrafamilial Variability: Insights From Two Sibling Pairs From The Tango2 Natural History Study, Christina Y Miyake, Saad A Ehsan, Lilei Zhang, Samuel J Mackenzie, Mahshid S Azamian, Daryl A Scott, Andres Hernandez-Garcia, Seema R Lalani

Faculty, Staff and Students Publications

TANGO2-deficiency disorder (TDD) is an autosomal recessive condition arising from pathogenic biallelic variants in the TANGO2 gene. TDD is characterized by symptoms typically beginning in late infancy including delayed developmental milestones, cognitive impairment, dysarthria, expressive language deficits, and gait abnormalities. There is wide phenotypic variability where some are severely affected while others have mild symptoms. This variability has been documented even among sibling pairs who share the same genotype, but reasons for this variability have not been well understood. Emerging data suggest a potential link between B-complex or multivitamin supplementation and decreased metabolic crises in TDD. In this report, we …

A Qualitative Exploration Of Patient Perspectives On Psychosocial Burdens And Positive Factors In Adults With Osteogenesis Imperfecta, W Conor Rork, Alyssa G Hertz, Andrew D Wiese, Kristin M Kostick, Dianne Nguyen, Sophie C Schneider, Whitney S Shepherd, Hannah Cho, Members Of The Bbdc, Chaya N Murali, Brendan Lee, V Reid Sutton, Eric A Storch

Faculty, Staff and Students Publications

Osteogenesis imperfecta (OI) is a pleiotropic, heritable connective tissue disorder associated with a wide range of health implications, including frequent bone fracture. While progress has been made to understand the spectrum of these physical health implications, the impact of OI on psychosocial well-being, as well as protective factors that buffer against adverse psychosocial outcomes, remain understudied. This present study relies on a qualitative approach to assess patient perspectives on both protective and adverse psychosocial factors specific to OI in 15 adults with varying disease status. Semi-structured interviews were conducted, subsequently coded, and themes extracted. Themes concerning psychosocial burdens (i.e., negative …

Phenoscore Quantifies Phenotypic Variation For Rare Genetic Diseases By Combining Facial Analysis With Other Clinical Features Using A Machine-Learning Framework, Alexander J M Dingemans, Max Hinne, Kim M G Truijen, Lia Goltstein, Jeroen Van Reeuwijk, Nicole De Leeuw, Janneke Schuurs-Hoeijmakers, Rolph Pfundt, Illja J Diets, Joery Den Hoed, Elke De Boer, Jet Coenen-Van Der Spek, Sandra Jansen, Bregje W Van Bon, Noraly Jonis, Charlotte W Ockeloen, Anneke T Vulto-Van Silfhout, Tjitske Kleefstra, David A Koolen, Philippe M Campeau, Elizabeth E Palmer, Hilde Van Esch, Gholson J Lyon, Fowzan S Alkuraya, Anita Rauch, Ronit Marom, Diana Baralle, Pleuntje J Van Der Sluijs, Gijs W E Santen, R Frank Kooy, Marcel A J Van Gerven, Lisenka E L M Vissers, Bert B A De Vries

Faculty, Staff and Students Publications

Several molecular and phenotypic algorithms exist that establish genotype-phenotype correlations, including facial recognition tools. However, no unified framework that investigates both facial data and other phenotypic data directly from individuals exists. We developed PhenoScore: an open-source, artificial intelligence-based phenomics framework, combining facial recognition technology with Human Phenotype Ontology data analysis to quantify phenotypic similarity. Here we show PhenoScore's ability to recognize distinct phenotypic entities by establishing recognizable phenotypes for 37 of 40 investigated syndromes against clinical features observed in individuals with other neurodevelopmental disorders and show it is an improvement on existing approaches. PhenoScore provides predictions for individuals with variants …

The Complete Sequence Of A Human Y Chromosome, Arang Rhie, Sergey Nurk, Monika Cechova, Savannah J Hoyt, Dylan J Taylor, Nicolas Altemose, Paul W Hook, Sergey Koren, Mikko Rautiainen, Ivan A Alexandrov, Jamie Allen, Mobin Asri, Andrey V Bzikadze, Nae-Chyun Chen, Chen-Shan Chin, Mark Diekhans, Paul Flicek, Giulio Formenti, Arkarachai Fungtammasan, Carlos Garcia Giron, Erik Garrison, Ariel Gershman, Jennifer L Gerton, Patrick G S Grady, Andrea Guarracino, Leanne Haggerty, Reza Halabian, Nancy F Hansen, Robert Harris, Gabrielle A Hartley, William T Harvey, Marina Haukness, Jakob Heinz, Thibaut Hourlier, Robert M Hubley, Sarah E Hunt, Stephen Hwang, Miten Jain, Rupesh K Kesharwani, Alexandra P Lewis, Heng Li, Glennis A Logsdon, Julian K Lucas, Wojciech Makalowski, Christopher Markovic, Fergal J Martin, Ann M Mc Cartney, Rajiv C Mccoy, Jennifer Mcdaniel, Brandy M Mcnulty, Paul Medvedev, Alla Mikheenko, Katherine M Munson, Terence D Murphy, Hugh E Olsen, Nathan D Olson, Luis F Paulin, David Porubsky, Tamara Potapova, Fedor Ryabov, Steven L Salzberg, Michael E G Sauria, Fritz J Sedlazeck, Kishwar Shafin, Valery A Shepelev, Alaina Shumate, Jessica M Storer, Likhitha Surapaneni, Angela M Taravella Oill, Françoise Thibaud-Nissen, Winston Timp, Marta Tomaszkiewicz, Mitchell R Vollger, Brian P Walenz, Allison C Watwood, Matthias H Weissensteiner, Aaron M Wenger, Melissa A Wilson, Samantha Zarate, Yiming Zhu, Justin M Zook, Evan E Eichler, Rachel J O'Neill, Michael C Schatz, Karen H Miga, Kateryna D Makova, Adam M Phillippy

Faculty, Staff and Students Publications

The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure including long palindromes, tandem repeats, and segmental duplications1–3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029 base pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the …

Children’S Oncology Group’S 2023 Blueprint For Research: Epidemiology, Philip J Lupo, Erin L Marcotte, Michael E Scheurer, Jenny N Poynter, Logan G Spector

Faculty, Staff and Students Publications

The Children's Oncology Group (COG) Epidemiology Committee has a primary focus on better understanding the etiologies of childhood cancers. Over the past 10 years, the committee has leveraged the Childhood Cancer Research Network, and now more recently Project:EveryChild (PEC), to conduct epidemiologic assessments of various childhood cancers, including osteosarcoma, neuroblastoma, germ cell tumors, Ewing sarcoma, rhabdomyosarcoma, and Langerhans cell histiocytosis. More recent studies have utilized questionnaire data collected as part of PEC to focus on specific characteristics and/or features, including the presence of congenital disorders and the availability of stored cord blood. Members of the COG Epidemiology Committee have also …

A Defect In Mitochondrial Fatty Acid Synthesis Impairs Iron Metabolism And Causes Elevated Ceramide Levels, Debdeep Dutta, Oguz Kanca, Seul Kee Byeon, Paul C Marcogliese, Zhongyuan Zuo, Rishi V Shridharan, Jun Hyoung Park, Undiagnosed Diseases Networ, Guang Lin, Ming Ge, Gali Heimer, Jennefer N Kohler, Matthew T Wheeler, Benny A Kaipparettu, Akhilesh Pandey, Hugo J Bellen

Faculty, Staff and Students Publications

In most eukaryotic cells, fatty acid synthesis (FAS) occurs in the cytoplasm and in mitochondria. However, the relative contribution of mitochondrial FAS (mtFAS) to the cellular lipidome is not well defined. Here we show that loss of function of Drosophila mitochondrial enoyl coenzyme A reductase (Mecr), which is the enzyme required for the last step of mtFAS, causes lethality, while neuronal loss of Mecr leads to progressive neurodegeneration. We observe a defect in Fe-S cluster biogenesis and increased iron levels in flies lacking mecr, leading to elevated ceramide levels. Reducing the levels of either iron or ceramide suppresses the neurodegenerative …

A Comprehensive Drosophila Resource To Identify Key Functional Interactions Between Sars-Cov-2 Factors And Host Proteins, Annabel Guichard, Shenzhao Lu, Oguz Kanca, Daniel Bressan, Yan Huang, Mengqi Ma, Sara Sanz Juste, Jonathan C Andrews, Kristy L Jay, Marketta Sneider, Ruth Schwartz, Mei-Chu Huang, Danqing Bei, Hongling Pan, Liwen Ma, Wen-Wen Lin, Ankush Auradkar, Pranjali Bhagwat, Soo Park, Kenneth H Wan, Takashi Ohsako, Toshiyuki Takano-Shimizu, Susan E Celniker, Michael F Wangler, Shinya Yamamoto, Hugo J Bellen, Ethan Bier

Faculty, Staff and Students Publications

Development of effective therapies against SARS-CoV-2 infections relies on mechanistic knowledge of virus-host interface. Abundant physical interactions between viral and host proteins have been identified, but few have been functionally characterized. Harnessing the power of fly genetics, we develop a comprehensive Drosophila COVID-19 resource (DCR) consisting of publicly available strains for conditional tissue-specific expression of all SARS-CoV-2 encoded proteins, UAS-human cDNA transgenic lines encoding established host-viral interacting factors, and GAL4 insertion lines disrupting fly homologs of SARS-CoV-2 human interacting proteins. We demonstrate the utility of the DCR to functionally assess SARS-CoV-2 genes and candidate human binding partners. We show that …

Identification Of Usp9x As A Leukemia Susceptibility Gene, Saumya Dushyant Sisoudiya, Pamela Mishra, He Li, Jeremy M Schraw, Michael E Scheurer, Sejal Salvi, Harsha Doddapaneni, Donna Muzny, Danielle Mitchell, Olga Taylor, Aniko Sabo, Philip J Lupo, Sharon E Plon

Faculty, Staff and Students Publications

We recently reported that children with multiple birth defects have a significantly higher risk of childhood cancer. We performed whole-genome sequencing on a cohort of probands from this study with birth defects and cancer and their parents. Structural variant analysis identified a novel 5 kb de novo heterozygous inframe deletion overlapping the catalytic domain of USP9X in a female proband with multiple birth defects, developmental delay, and B-cell acute lymphoblastic leukemia (B-ALL). Her phenotype was consistent with female-restricted X-linked syndromic intellectual developmental disorder-99 (MRXS99F). Genotype-phenotype analysis including previously reported female probands (n = 42) demonstrated that MRXS99F probands with B-ALL …

Proteogenomic Data And Resources For Pan-Cancer Analysis, Yize Li, Yongchao Dou, Felipe Da Veiga Leprevost, Yifat Geffen, Anna P Calinawan, François Aguet, Yo Akiyama, Shankara Anand, Chet Birger, Song Cao, Rekha Chaudhary, Padmini Chilappagari, Marcin Cieslik, Antonio Colaprico, Daniel Cui Zhou, Corbin Day, Marcin J Domagalski, Myvizhi Esai Selvan, David Fenyö, Steven M Foltz, Alicia Francis, Tania Gonzalez-Robles, Zeynep H Gümüş, David Heiman, Michael Holck, Runyu Hong, Yingwei Hu, Eric J Jaehnig, Jiayi Ji, Wen Jiang, Lizabeth Katsnelson, Karen A Ketchum, Robert J Klein, Jonathan T Lei, Wen-Wei Liang, Yuxing Liao, Caleb M Lindgren, Weiping Ma, Lei Ma, Michael J Maccoss, Fernanda Martins Rodrigues, Wilson Mckerrow, Ngoc Nguyen, Robert Oldroyd, Alexander Pilozzi, Pietro Pugliese, Boris Reva, Paul Rudnick, Kelly V Ruggles, Dmitry Rykunov, Sara R Savage, Michael Schnaubelt, Tobias Schraink, Zhiao Shi, Deepak Singhal, Xiaoyu Song, Erik Storrs, Nadezhda V Terekhanova, Ratna R Thangudu, Mathangi Thiagarajan, Liang-Bo Wang, Joshua M Wang, Ying Wang, Bo Wen, Yige Wu, Matthew A Wyczalkowski, Yi Xin, Lijun Yao, Xinpei Yi, Hui Zhang, Qing Zhang, Maya Zuhl, Gad Getz, Li Ding, Alexey I Nesvizhskii, Pei Wang, Ana I Robles, Bing Zhang, Samuel H Payne

Faculty, Staff and Students Publications

The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry …

Strategies For The Genomic Analysis Of Admixed Populations, Taotao Tan, Elizabeth G Atkinson

Faculty, Staff and Students Publications

Admixed populations constitute a large portion of global human genetic diversity, yet they are often left out of genomics analyses. This exclusion is problematic, as it leads to disparities in the understanding of the genetic structure and history of diverse cohorts and the performance of genomic medicine across populations. Admixed populations have particular statistical challenges, as they inherit genomic segments from multiple source populations-the primary reason they have historically been excluded from genetic studies. In recent years, however, an increasing number of statistical methods and software tools have been developed to account for and leverage admixture in the context of …

Generation Of A Novel Stra8-Driven Cre Recombinase Strain For Use In Pre-Meiotic Germ Cells In Mice†, Avery A Ahmed, Ernesto Salas, Denise G Lanza, Jason D Heaney, Stephanie A Pangas

Faculty, Staff and Students Publications

The development of oocytes occurs over a broad time frame, starting at the earliest stages of embryogenesis and continuing into adulthood. Conditional knockout technologies such as the Cre/loxP recombination system are useful for analyzing oocyte development at specific stages, but not every time frame has appropriate Cre drivers, for instance, during oocyte meiotic initiation through early prophase I in the embryo. Here, we generated a novel knockin mouse line that produces a bicistronic transcript from the endogenous Stra8 locus that includes a "self-cleaving" 2A peptide upstream of cre. This allows for high efficiency cleavage and production of both proteins individually …

Genetic Control Of Mrna Splicing As A Potential Mechanism For Incomplete Penetrance Of Rare Coding Variants, Jonah Einson, Dafni Glinos, Eric Boerwinkle, Peter Castaldi, Dawood Darbar, Mariza De Andrade, Patrick Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Craig P Hersh, Jill Johnsen, Robert Kaplan, Barbara A Konkle, Charles Kooperberg, Rami Nassir, Ruth J F Loos, Deborah A Meyers, Braxton D Mitchell, Bruce Psaty, Ramachandran S Vasan, Stephen S Rich, Michael Rienstra, Jerome I Rotter, Aabida Saferali, Moore Benjamin Shoemaker, Edwin Silverman, Albert Vernon Smith, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium; Pejman Mohammadi, Pejman Mohammadi, Stephane E Castel, Ivan Iossifov, Tuuli Lappalainen

Faculty, Staff and Student Publications

Exonic variants present some of the strongest links between genotype and phenotype. However, these variants can have significant inter-individual pathogenicity differences, known as variable penetrance. In this study, we propose a model where genetically controlled mRNA splicing modulates the pathogenicity of exonic variants. By first cataloging exonic inclusion from RNA-sequencing data in GTEx V8, we find that pathogenic alleles are depleted on highly included exons. Using a large-scale phased whole genome sequencing data from the TOPMed consortium, we observe that this effect may be driven by common splice-regulatory genetic variants, and that natural selection acts on haplotype configurations that reduce …

Somatic Cell Structural Variant Mutagenesis And Neurologic Disease, James R Lupski

Faculty, Staff and Students Publications

Detection of organismal mosaic states for variant alleles faces technical and analytical challenges, as does the association of such variant alleles with susceptibility to neurologic disease. In this issue of Cell Genomics, Maury et al.¹ reanalyze genotyping arrays of a schizophrenia cohort providing evidence for the contribution of somatic structural variant mutagenesis and rare variant alleles.

A De Novo Missense Variant In Ezh1 Associated With Developmental Delay Exhibits Functional Deficits In Drosophila Melanogaster, Sharayu V Jangam, Lauren C Briere, Kristy L Jay, Jonathan C Andrews, Melissa A Walker, Lance H Rodan, Frances A High, Undiagnosed Diseases Network, Shinya Yamamoto, David A Sweetser, Michael F Wangler

Faculty, Staff and Students Publications

EZH1, a polycomb repressive complex-2 component, is involved in a myriad of cellular processes. EZH1 represses transcription of downstream target genes through histone 3 lysine27 (H3K27) trimethylation (H3K27me3). Genetic variants in histone modifiers have been associated with developmental disorders, while EZH1 has not yet been linked to any human disease. However, the paralog EZH2 is associated with Weaver syndrome. Here we report a previously undiagnosed individual with a novel neurodevelopmental phenotype identified to have a de novo missense variant in EZH1 through exome sequencing. The individual presented in infancy with neurodevelopmental delay and hypotonia and was later noted to have …

Genotype Error Due To Low-Coverage Sequencing Induces Uncertainty In Polygenic Scoring, Ella Petter, Yi Ding, Kangcheng Hou, Arjun Bhattacharya, Alexander Gusev, Noah Zaitlen, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Polygenic scores (PGSs) have emerged as a standard approach to predict phenotypes from genotype data in a wide array of applications from socio-genomics to personalized medicine. Traditional PGSs assume genotype data to be error-free, ignoring possible errors and uncertainties introduced from genotyping, sequencing, and/or imputation. In this work, we investigate the effects of genotyping error due to low coverage sequencing on PGS estimation. We leverage SNP array and low-coverage whole-genome sequencing data (lcWGS, median coverage 0.04×) of 802 individuals from the Dana-Farber PROFILE cohort to show that PGS error correlates with sequencing depth (p = 1.2 × 10

Beyond The Exome: What’S Next In Diagnostic Testing For Mendelian Conditions, Monica H Wojcik, Chloe M Reuter, Shruti Marwaha, Medhat Mahmoud, Michael H Duyzend, Hayk Barseghyan, Bo Yuan, Philip M Boone, Emily E Groopman, Emmanuèle C Délot, Deepti Jain, Alba Sanchis-Juan, Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium, Lea M Starita, Michael Talkowski, Stephen B Montgomery, Michael J Bamshad, Jessica X Chong, Matthew T Wheeler, Seth I Berger, Anne O'Donnell-Luria, Fritz J Sedlazeck, Danny E Miller

Faculty, Staff and Student Publications

Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. …

Identifying Functional Enhancers For Fibrotic Gene Regulation In Liver Fibrosis, Parnaz Merikhian

Dissertations and Theses (Open Access)

Liver fibrosis is characterized by progressive activation of proliferating and migrating myofibroblasts that lead to accumulation of extracellular matrix (ECM). These myofibroblasts most arise from activated liver-resident hepatic stellate cells (HSCs). There is an increasing number of patients suffering from liver fibrosis in developed countries including the United States, which is anticipated to continue to grow during 2023-2033 period. TGF-β1 is a key cytokine with a significant role in regulating cell differentiation and adhesion in liver fibrosis. TGF-β signaling triggers gene expression changes in HSCs, including that of fibrotic and EMT-related genes, which then functionally promote HSCs activation and fibrogenesis. …

T-Cell Receptor Beta Variable Gene Polymorphism Predicts Immune-Related Adverse Events During Checkpoint Blockade Immunotherapy, Bettzy Stephen, Joud Hajjar, Shrutii Sarda, Dzifa Yawa Duose, Jeffrey M Conroy, Carl Morrison, Anas Alshawa, Mingxuan Xu, Abdulrazzak Zarifa, Sapna P Patel, Ying Yuan, Evan Kwiatkowski, Linghua Wang, Jordi Rodon Ahnert, Siqing Fu, Funda Meric-Bernstam, Geoffrey M Lowman, Timothy Looney, Aung Naing

Faculty, Staff and Student Publications

BACKGROUND: Immune checkpoint inhibitors have revolutionized cancer treatment. However, they are associated with a unique spectrum of side effects, called immune-related adverse events (irAEs), which can cause significant morbidity and quickly progress to severe or life-threatening events if not treated promptly. Identifying predictive biomarkers for irAEs before immunotherapy initiation is therefore a critical area of research. Polymorphisms within the T-cell receptor beta (TCRB) variable (TRBV) gene have been implicated in autoimmune disease and may be mechanistically linked to irAEs. However, the repetitive nature of the TCRB locus and incomplete genome assembly has hampered the evaluation of TRBV polymorphisms in the …

Genetic Analysis Of Crossover Defective Mouse Spermatocytes Reveals Discrete Crossover Precursor Intermediates, Tolkappiyan Prem Kumar

Dissertations and Theses (Open Access)

In healthy, non-replicating somatic cells of diploid organisms, like humans and mice, there are two copies of each chromosome, one from each parent. However, the germ cells of these organisms, the oocytes, and the sperm, have only one copy of each chromosome, thus ensuring that when haploid oocytes and sperm fuse to form a zygote, a diploid number of chromosomes is restored. The reduction of a diploid number of chromosomes to a haploid number of chromosomes takes place during meiosis. The meiotic cell cycle consists of two rounds of cell division, Meiosis I and Meiosis II. Meiosis I create haploid …