Genetics and Genomics Commons^™

Rare Variants Found In Clinical Gene Panels Illuminate The Genetic And Allelic Architecture Of Orofacial Clefting, Kimberly K Diaz Perez, Sarah W Curtis, Alba Sanchis-Juan, Xuefang Zhao, Taylor Head, Samantha Ho, Bridget Carter, Toby Mchenry, Madison R Bishop, Luz C Valencia-Ramirez, Claudia Restrepo, Jacqueline T Hecht, Lina M Uribe, George Wehby, Seth M Weinberg, Terri H Beaty, Jeffrey C Murray, Eleanor Feingold, Mary L Marazita, David J Cutler, Michael P Epstein, Harrison Brand, Elizabeth J Leslie

Faculty, Staff and Student Publications

PURPOSE: Orofacial clefts (OFCs) are common birth defects including cleft lip, cleft lip and palate, and cleft palate. OFCs have heterogeneous etiologies, complicating clinical diagnostics because it is not always apparent if the cause is Mendelian, environmental, or multifactorial. Sequencing is not currently performed for isolated or sporadic OFCs; therefore, we estimated the diagnostic yield for 418 genes in 841 cases and 294 controls.

METHODS: We evaluated 418 genes using genome sequencing and curated variants to assess their pathogenicity using American College of Medical Genetics criteria.

RESULTS: 9.04% of cases and 1.02% of controls had "likely pathogenic" variants (P < .0001), which was almost exclusively driven by heterozygous variants in autosomal genes. Cleft palate (17.6%) and cleft lip and palate (9.09%) cases had the highest yield, whereas cleft lip cases had a 2.80% yield. Out of 39 genes with likely pathogenic variants, 9 genes, including CTNND1 and IRF6, accounted for more than half of the yield (4.64% of cases). Most variants (61.8%) were "variants of uncertain significance", occurring more frequently in cases (P = .004), but no individual gene showed a significant excess of variants of uncertain significance.

CONCLUSION: …

Germline Pathogenic Smarca4 Variants In Neuroblastoma, Leora Witkowski, Kim E Nichols, Marjolijn Jongmans, Nienke Van Engelen, Ronald R De Krijger, Jennifer Herrera-Mullar, Lieve Tytgat, Armita Bahrami, Helen Mar Fan, Aimee L Davidson, Thomas Robertson, Michael Anderson, Martin Hasselblatt, Sharon E Plon, William D Foulkes

Faculty, Staff and Students Publications

Heterozygous germline pathogenic variants (GPVs) in SMARCA4, the gene encoding the ATP-dependent chromatin remodeling protein SMARCA4 (previously known as BRG1), predispose to several rare tumour types, including small cell carcinoma of the ovary, hypercalcemic type, atypical teratoid and malignant rhabdoid tumor, and uterine sarcoma. The increase in germline testing of SMARCA4 in recent years has revealed putative GPVs affecting SMARCA4 in patients with other cancer types. Here we describe 11 patients with neuroblastoma, including four previously unreported cases, all of whom were found to harbour heterozygous germline variants in SMARCA4. Median age at diagnosis was 5 years (range 2 …

Mammalian Aging Driven By Transcription Going Awry, Brenna S Mccauley, Weiwei Dang

Faculty, Staff and Students Publications

The mechanisms that underlie increased cryptic transcription during senescence and aging have been poorly understood. Sen et al. recently identified cryptic transcription start sites (cTSSs) and chromatin state changes that may contribute to cTSS activation in mammals. Their results indicate that enhancer-promoter conversion may drive cryptic transcription in senescence.

Human Glp1r Variants Affecting Glp1r Cell Surface Expression Are Associated With Impaired Glucose Control And Increased Adiposity, Wenwen Gao, Lei Liu, Eunna Huh, Florence Gbahou, Erika Cecon, Masaya Oshima, Ludivine Houzé, Panagiotis Katsonis, Alan Hegron, Zhiran Fan, Guofei Hou, Guillaume Charpentier, Mathilde Boissel, Mehdi Derhourhi, Michel Marre, Beverley Balkau, Philippe Froguel, Raphael Scharfmann, Olivier Lichtarge, Julie Dam, Amélie Bonnefond, Jianfeng Liu, Ralf Jockers

Faculty, Staff and Students Publications

The glucagon-like peptide 1 receptor (GLP1R) is a major drug target with several agonists being prescribed in patients with type 2 diabetes (T2D) and obesity 1, 2. The impact of genetic variability of GLP1R on receptor function and its association with metabolic traits are unclear with conflicting reports. Here, we performed a functional profiling of 60 GLP1R variants across four signaling pathways and revealed an unexpected diversity of phenotypes ranging from defective cell surface expression to complete or pathway-specific gain- (GoF) and loss-of-functions (LoF). The defective insulin secretion of GLP1R LoF variants was rescued by allosteric GLP1R ligands …

Scalable Nanopore Sequencing Of Human Genomes Provides A Comprehensive View Of Haplotype-Resolved Variation And Methylation, Mikhail Kolmogorov, Kimberley J Billingsley, Mira Mastoras, Melissa Meredith, Jean Monlong, Ryan Lorig-Roach, Mobin Asri, Pilar Alvarez Jerez, Laksh Malik, Ramita Dewan, Xylena Reed, Rylee M Genner, Kensuke Daida, Sairam Behera, Kishwar Shafin, Trevor Pesout, Jeshuwin Prabakaran, Paolo Carnevali, Jianzhi Yang, Arang Rhie, Sonja W Scholz, Bryan J Traynor, Karen H Miga, Miten Jain, Winston Timp, Adam M Phillippy, Mark Chaisson, Fritz J Sedlazeck, Cornelis Blauwendraat, Benedict Paten

Faculty, Staff and Students Publications

Long-read sequencing technologies substantially overcome the limitations of short-reads but have not been considered as a feasible replacement for population-scale projects, being a combination of too expensive, not scalable enough or too error-prone. Here we develop an efficient and scalable wet lab and computational protocol, Napu, for Oxford Nanopore Technologies long-read sequencing that seeks to address those limitations. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the National Institutes of Health Center for Alzheimer's and Related Dementias. Using a single PromethION flow cell, we can detect single nucleotide polymorphisms with …

Views Of Adolescents And Young Adults With Cancer And Their Oncologists Toward Patients' Participation In Genomic Research, Amanda M Gutierrez, Jill O Robinson, Robin Raesz-Martinez, Isabel Canfield, Mary A Majumder, Sarah Scollon, Lauren R Desrosiers, Rebecca L Hsu, Wendy Allen-Rhoades, D Williams Parsons, Sharon E Plon, Amy L Mcguire, Janet Malek

Faculty, Staff and Students Publications

Purpose:

With increased use of genomic testing in cancer research and clinical care, it is important to understand the perspectives and decision-making preferences of adolescents and young adults (AYAs) with cancer and their treating oncologists.

Methods:

We conducted an interview substudy of the BASIC3 Study, which enrolled newly diagnosed cancer patients <18 years of age with assent. Of 32 young adults (YAs) with cancer who reached the age of majority (AOM; 18 years) while on study, 12 were successfully approached and all consented to study continuation at AOM. Of those, seven completed an interview. Patients' oncologists, who enrolled and participated in return of clinical genomic results, were also interviewed (n = 12). Interviews were transcribed, deidentified, and analyzed using thematic analysis.

Results:

YAs cited the possibility of helping others and advancing science as major reasons for their assent to initial study enrollment and their willingness to consent at AOM. YAs thought obtaining informed consent from research participants for …

Current Perspectives On Mass Spectrometry-Based Immunopeptidomics: The Computational Angle To Tumor Antigen Discovery, Bing Zhang, Michal Bassani-Sternberg

Faculty, Staff and Students Publications

Identification of tumor antigens presented by the human leucocyte antigen (HLA) molecules is essential for the design of effective and safe cancer immunotherapies that rely on T cell recognition and killing of tumor cells. Mass spectrometry (MS)-based immunopeptidomics enables high-throughput, direct identification of HLA-bound peptides from a variety of cell lines, tumor tissues, and healthy tissues. It involves immunoaffinity purification of HLA complexes followed by MS profiling of the extracted peptides using data-dependent acquisition, data-independent acquisition, or targeted approaches. By incorporating DNA, RNA, and ribosome sequencing data into immunopeptidomics data analysis, the proteogenomic approach provides a powerful means for identifying …

Prevalence Of Pathogenic Germline Variants In Adult-Type Diffuse Glioma, Malcolm F Mcdonald, Lyndsey L Prather, Cassandra R Helfer, Ethan B Ludmir, Alfredo E Echeverria, Shlomit Yust-Katz, Akash J Patel, Benjamin Deneen, Ganesh Rao, Ali Jalali, Shweta U Dhar, Chris I Amos, Jacob J Mandel

Faculty, Staff and Students Publications

BACKGROUND: No consensus germline testing guidelines currently exist for glioma patients, so the prevalence of germline pathogenic variants remains unknown. This study aims to determine the prevalence and type of pathogenic germline variants in adult glioma.

METHODS: A retrospective review at a single institution with paired tumor/normal sequencing from August 2018-April 2022 was performed and corresponding clinical data were collected.

RESULTS: We identified 152 glioma patients of which 15 (9.8%) had pathogenic germline variants. Pathogenic germline variants were seen in 11/84 (13.1%) of Glioblastoma, IDH wild type; 3/42 (7.1%) of Astrocytoma, IDH mutant; and 1/26 (3.8%) of Oligodendroglioma, IDH mutant, …

Neurodevelopmental Deficits And Cell-Type-Specific Transcriptomic Perturbations In A Mouse Model Of Hnrnpu Haploinsufficiency, Sarah A Dugger, Ryan S Dhindsa, Gabriela De Almeida Sampaio, Andrew K Ressler, Elizabeth E Rafikian, Sabrina Petri, Verity A Letts, Jiajie Teoh, Junqiang Ye, Sophie Colombo, Yueqing Peng, Mu Yang, Michael J Boland, Wayne N Frankel, David B Goldstein

Faculty, Staff and Students Publications

Heterozygous de novo loss-of-function mutations in the gene expression regulator HNRNPU cause an early-onset developmental and epileptic encephalopathy. To gain insight into pathological mechanisms and lay the potential groundwork for developing targeted therapies, we characterized the neurophysiologic and cell-type-specific transcriptomic consequences of a mouse model of HNRNPU haploinsufficiency. Heterozygous mutants demonstrated global developmental delay, impaired ultrasonic vocalizations, cognitive dysfunction and increased seizure susceptibility, thus modeling aspects of the human disease. Single-cell RNA-sequencing of hippocampal and neocortical cells revealed widespread, yet modest, dysregulation of gene expression across mutant neuronal subtypes. We observed an increased burden of differentially-expressed genes in mutant excitatory …

Lack Of Methylation Changes In Gjb2 And Rb1 Non-Coding Regions Of Cochlear Implant Patients With Sensorineural Hearing Loss, Angelo Augusto M Sumalde, Ivana V Yang, Talitha Karisse L Yarza, Celina Ann M Tobias-Grasso, Ma Leah C Tantoco, Elizabeth Davidson, Abner L Chan, Mahshid S Azamian, Teresa Luisa G Cruz, Seema R Lalani, Maria Rina T Reyes-Quintos, Eva Maria Cutiongco-De La Paz, Regie Lyn P Santos-Cortez, Charlotte M Chiong

Faculty, Staff and Students Publications

OBJECTIVE: Recent advances in epigenetic studies continue to reveal novel mechanisms of gene regulation and control, however little is known on the role of epigenetics in sensorineural hearing loss (SNHL) in humans. We aimed to investigate the methylation patterns of two regions, one in

METHODS: We investigated an RB1 promoter region that was previously identified as differentially methylated in children with SNHL and lead exposure. Additionally, we investigated a sequence in an enhancer-like region within GJB2 that contains four CpGs in close proximity. Bisulfite conversion was performed on salivary DNA samples from 15 children with SNHL and 45 unrelated ethnically-matched …

In Vivo Crispr/Cas9 Screening Identifies Pbrm1 As A Regulator Of Myeloid Leukemia Development In Mice, Bin E Li, Grace Y Li, Wenqing Cai, Qian Zhu, Davide Seruggia, Yuko Fujiwara, Christopher R Vakoc, Stuart H Orkin

Faculty, Staff and Students Publications

CRISPR/Cas9 screening approaches are powerful tool for identifying in vivo cancer dependencies. Hematopoietic malignancies are genetically complex disorders in which the sequential acquisition of somatic mutations generates clonal diversity. Over time, additional cooperating mutations may drive disease progression. Using an in vivo pooled gene editing screen of epigenetic factors in primary murine hematopoietic stem and progenitor cells (HSPCs), we sought to uncover unrecognized genes that contribute to leukemia progression. We, first, modeled myeloid leukemia in mice by functionally abrogating both Tet2 and Tet3 in HSPCs, followed by transplantation. We, then, performed pooled CRISPR/Cas9 editing of genes encoding epigenetic factors and …

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. …

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 …