Genetics and Genomics Commons^™

Dynamic Dysregulation Of Retrotransposons In Neurodegenerative Diseases At The Single-Cell Level\, Wankun Deng, Citu Citu, Andi Liu, Zhongming Zhao

Faculty, Staff and Student Publications

Retrotransposable elements (RTEs) are common mobile genetic elements comprising ∼42% of the human genome. RTEs play critical roles in gene regulation and function, but how they are specifically involved in complex diseases is largely unknown. Here, we investigate the cellular heterogeneity of RTEs using 12 single-cell transcriptome profiles covering three neurodegenerative diseases, Alzheimer's disease (AD), Parkinson's disease, and multiple sclerosis. We identify cell type marker RTEs in neurons, astrocytes, oligodendrocytes, and oligodendrocyte precursor cells that are related to these diseases. The differential expression analysis reveals the landscape of dysregulated RTE expression, especially L1s, in excitatory neurons of multiple neurodegenerative diseases. …

Identification Of Allele-Specific Kiv-2 Repeats And Impact On Lp(A) Measurements For Cardiovascular Disease Risk, Sairam Behera, Jonathan R Belyeu, Xiao Chen, Luis F Paulin, Ngoc Quynh H Nguyen, Emma Newman, Medhat Mahmoud, Vipin K Menon, Qibin Qi, Parag Joshi, Santica Marcovina, Massimiliano Rossi, Eric Roller, James Han, Vitor Onuchic, Christy L Avery, Christie M Ballantyne, Carlos J Rodriguez, Robert C Kaplan, Donna M Muzny, Ginger A Metcalf, Richard A Gibbs, Bing Yu, Eric Boerwinkle, Michael A Eberle, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase approximately 50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 …

The Giab Genomic Stratifications Resource For Human Reference Genomes, Nathan Dwarshuis, Divya Kalra, Jennifer Mcdaniel, Philippe Sanio, Pilar Alvarez Jerez, Bharati Jadhav, Wenyu Eddy Huang, Rajarshi Mondal, Ben Busby, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Sina Majidian, Justin M Zook

Faculty, Staff and Students Publications

Despite the growing variety of sequencing and variant-calling tools, no workflow performs equally well across the entire human genome. Understanding context-dependent performance is critical for enabling researchers, clinicians, and developers to make informed tradeoffs when selecting sequencing hardware and software. Here we describe a set of “stratifications,” which are BED files that define distinct contexts throughout the genome. We define these for GRCh37/38 as well as the new T2T-CHM13 reference, adding many new hard-to-sequence regions which are critical for understanding performance as the field progresses. Specifically, we highlight the increase in hard-to-map and GC-rich stratifications in CHM13 relative to the …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Larp1 Haploinsufficiency Is Associated With An Autosomal Dominant Neurodevelopmental Disorder, James Chettle, Raymond J Louie, Olivia Larner, Robert Best, Kevin Chen, Josephine Morris, Zinaida Dedeic, Anna Childers, R Curtis Rogers, Barbara R Dupont, Cindy Skinner, Sébastien Küry, Kevin Uguen, Marc Planes, Danielle Monteil, Megan Li, Aviva Eliyahu, Lior Greenbaum, Nofar Mor, Thomas Besnard, Bertrand Isidor, Benjamin Cogné, Alyssa Blesson, Anne Comi, Ingrid M Wentzensen, Blake Vuocolo, Seema R Lalani, Roberta Sierra, Lori Berry, Kent Carter, Stephan J Sanders, Sarah P Blagden

Faculty, Staff and Students Publications

Autism spectrum disorder (ASD) is a neurodevelopmental disorder (NDD) that affects approximately 4% of males and 1% of females in the United States. While causes of ASD are multi-factorial, single rare genetic variants contribute to around 20% of cases. Here, we report a case series of seven unrelated probands (6 males, 1 female) with ASD or another variable NDD phenotype attributed to de novo heterozygous loss of function or missense variants in the gene LARP1 (La ribonucleoprotein 1). LARP1 encodes an RNA-binding protein that post-transcriptionally regulates the stability and translation of thousands of mRNAs, including those regulating cellular metabolism and …

Single-Cell Somatic Copy Number Variants In Brain Using Different Amplification Methods And Reference Genomes, Ester Kalef-Ezra, Zeliha Gozde Turan, Diego Perez-Rodriguez, Ida Bomann, Sairam Behera, Caoimhe Morley, Sonja W Scholz, Zane Jaunmuktane, Jonas Demeulemeester, Fritz J Sedlazeck, Christos Proukakis

Faculty, Staff and Students Publications

The presence of somatic mutations, including copy number variants (CNVs), in the brain is well recognized. Comprehensive study requires single-cell whole genome amplification, with several methods available, prior to sequencing. Here we compare PicoPLEX with two recent adaptations of multiple displacement amplification (MDA): primary template-directed amplification (PTA) and droplet MDA, across 93 human brain cortical nuclei. We demonstrate different properties for each, with PTA providing the broadest amplification, PicoPLEX the most even, and distinct chimeric profiles. Furthermore, we perform CNV calling on two brains with multiple system atrophy and one control brain using different reference genomes. We find that 20.6% …

Psychological Distress Among Ethnically Diverse Participants From Eastern And Southern Africa, Kester B B Tindi, Allan Kalungi, Eugene Kinyanda, Bizu Gelaye, Alicia R Martin, Ronald Galiwango, Wilber Ssembajjwe, Fred Kirumira, Adele Pretorius, Anne Stevenson, Charles R J C Newton, Dan J Stein, Elizabeth G Atkinson, Emanuel K Mwesiga, Joseph Kyebuzibwa, Lori B Chibnik, Lukoye Atwoli, Mark Baker, Melkam Alemayehu, Rehema M Mwende, Rocky E Stroud, Solomon Teferra, Stella Gichuru, Symon M Kariuki, Zukiswa Zingela, Moffat Nyirenda, Segun Fatumo, Dickens H Akena

Faculty, Staff and Students Publications

IMPORTANCE: Psychological distress is characterized by anxiety and depressive symptoms. Although prior research has investigated the occurrence and factors associated with psychological distress in low- and middle-income countries, including those in Africa, these studies' findings are not very generalizable and have focused on different kinds of population groups.

OBJECTIVE: To investigate the prevalence and characteristics (sociodemographic, psychosocial, and clinical) associated with psychological distress among African participants.

DESIGN, SETTING, AND PARTICIPANTS: This case-control study analyzed data of participants in the Neuropsychiatric Genetics in African Populations-Psychosis (NeuroGAP-Psychosis) study, which recruited from general outpatient clinics in Eastern (Uganda, Kenya, and Ethiopia) and Southern …

Decoding Complex Inherited Phenotypes In Rare Disorders: The Decipherd Initiative For Rare Undiagnosed Diseases In Chile, M Cecilia Poli, Boris Rebolledo-Jaramillo, Catalina Lagos, Joan Orellana, Gabriela Moreno, Luz M Martín, Gonzalo Encina, Daniela Böhme, Víctor Faundes, M Jesús Zavala, Trinidad Hasbún, Sara Fischer, Florencia Brito, Diego Araya, Manuel Lira, Javiera De La Cruz, Camila Astudillo, Guillermo Lay-Son, Carolina Cares, Mariana Aracena, Esteban San Martin, Zeynep Coban-Akdemir, Jennifer E Posey, James R Lupski, Gabriela M Repetto

Faculty, Staff and Students Publications

Rare diseases affect millions of people worldwide, and most have a genetic etiology. The incorporation of next-generation sequencing into clinical settings, particularly exome and genome sequencing, has resulted in an unprecedented improvement in diagnosis and discovery in the past decade. Nevertheless, these tools are unavailable in many countries, increasing health care gaps between high- and low-and-middle-income countries and prolonging the "diagnostic odyssey" for patients. To advance genomic diagnoses in a setting of limited genomic resources, we developed DECIPHERD, an undiagnosed diseases program in Chile. DECIPHERD was implemented in two phases: training and local development. The training phase relied on international …

Detection Of Mosaic And Population-Level Structural Variants With Sniffles2, Moritz Smolka, Luis F Paulin, Christopher M Grochowski, Dominic W Horner, Medhat Mahmoud, Sairam Behera, Ester Kalef-Ezra, Mira Gandhi, Karl Hong, Davut Pehlivan, Sonja W Scholz, Claudia M B Carvalho, Christos Proukakis, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Calling structural variations (SVs) is technically challenging, but using long reads remains the most accurate way to identify complex genomic alterations. Here we present Sniffles2, which improves over current methods by implementing a repeat aware clustering coupled with a fast consensus sequence and coverage-adaptive filtering. Sniffles2 is 11.8 times faster and 29% more accurate than state-of-the-art SV callers across different coverages (5-50×), sequencing technologies (ONT and HiFi) and SV types. Furthermore, Sniffles2 solves the problem of family-level to population-level SV calling to produce fully genotyped VCF files. Across 11 probands, we accurately identified causative SVs around MECP2, including highly complex …

Olfactory Deficit And Gastrointestinal Dysfunction Precede Motor Abnormalities In Alpha-Synuclein G51d Knock-In Mice, Youngdoo Kim, Joseph Mcinnes, Jiyoen Kim, Yan Hong Wei Liang, Surabi Veeraragavan, Alexandra Rae Garza, Benjamin David Webst Belfort, Benjamin Arenkiel, Rodney Samaco, Huda Yahya Zoghbi

Faculty, Staff and Students Publications

Many Parkinson’s disease (PD) models overexpress α-Synuclein using heterologous promoters, which is adequate to demonstrate that excessive α-Synuclein is toxic but not ideal for learning the precise ontogeny of the disease pathogenesis, specifically where the disease starts and how it progresses. To answer these questions, it is beneficial to generate a mouse model expressing a disease-causing mutation under the endogenous promoter. Here, we generated three Snca knock-in mice. Among them, homozygous Snca^G51D mice develop motor deficits by 9 mo of age. These mice exhibit olfactory and gastrointestinal abnormalities by 6 mo. They lose dopaminergic neurons and have reduced dopamine …

Impact And Characterization Of Serial Structural Variations Across Humans And Great Apes, Wolfram Höps, Tobias Rausch, Michael Jendrusch, Jan O Korbel, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Modern sequencing technology enables the systematic detection of complex structural variation (SV) across genomes. However, extensive DNA rearrangements arising through a series of mutations, a phenomenon we refer to as serial SV (sSV), remain underexplored, posing a challenge for SV discovery. Here, we present NAHRwhals ( https://github.com/WHops/NAHRwhals ), a method to infer repeat-mediated series of SVs in long-read genomic assemblies. Applying NAHRwhals to haplotype-resolved human genomes from 28 individuals reveals 37 sSV loci of various length and complexity. These sSVs explain otherwise cryptic variation in medically relevant regions such as the TPSAB1 gene, 8p23.1, 22q11 and Sotos syndrome regions. Comparisons …

Project Give: Using A Virtual Genetics Service Platform To Reduce Health Inequities And Improve Access To Genomic Care In An Underserved Region Of Texas, Blake Vuocolo, Roberta Sierra, Daniel Brooks, Christopher Holder, Lauren Urbanski, Keila Rodriguez, Jose David Gamez, Surya Narayan Mulukutla, Ana Hernandez, Alberto Allegre, Humberto Hidalgo, Sarah Rodriguez, Sandy Magallan, Jeremy Gibson, Juan Carlos Bernini, Melanie Watson, Robert Nelson, Lizbeth Mellin-Sanchez, Nancy Garcia, Lori Berry, Hongzheng Dai, Claudia Soler-Alfonso, Kent Carter, Brendan Lee, Seema R Lalani

Faculty, Staff and Students Publications

BACKGROUND: The utilization of genomic information to improve health outcomes is progressively becoming more common in clinical practice. Nonetheless, disparities persist in accessing genetic services among ethnic minorities, individuals with low socioeconomic status, and other vulnerable populations. The Rio Grande Valley (RGV) at the Texas-Mexico border is predominantly Hispanic/Latino with a high poverty rate and very limited access to genetic services. Funded by the National Center for Advancing Translational Sciences, Project GIVE (Genetic Inclusion by Virtual Evaluation) was launched in 2022 to reduce the time to diagnosis and increase provider knowledge of genomics in this region, with the goal of …

Identification Of A Clade-Specific Hla-C*03:02 Ctl Epitope Gy9 Derived From The Hiv-1 P17 Matrix Protein, Samuel Kyobe, Savannah Mwesigwa, Gyaviira Nkurunungi, Gaone Retshabile, Moses Egesa, Eric Katagirya, Marion Amujal, Busisiwe C Mlotshwa, Lesedi Williams, Hakim Sendagire, On Behalf Of The Cafgen Consortium, Dithan Kiragga, Graeme Mardon, Mogomotsi Matshaba, Neil A Hanchard, Jacqueline Kyosiimire-Lugemwa, David Robinson

Faculty, Staff and Students Publications

Efforts towards an effective HIV-1 vaccine have remained mainly unsuccessful. There is increasing evidence for a potential role of HLA-C-restricted CD8+ T cell responses in HIV-1 control, including our recent report of HLA-C*03:02 among African children. However, there are no documented optimal HIV-1 CD8+ T cell epitopes restricted by HLA-C*03:02; additionally, the structural influence of HLA-C*03:02 on epitope binding is undetermined. Immunoinformatics approaches provide a fast and inexpensive method to discover HLA-restricted epitopes. Here, we employed immunopeptidomics to identify HLA-C*03:02 CD8+ T cell epitopes. We identified a clade-specific Gag-derived GY9 (GTEELRSLY) HIV-1 p17 matrix epitope potentially restricted to HLA-C*03:02. Residues …

Folate Metabolism And Risk Of Childhood Acute Lymphoblastic Leukemia: A Genetic Pathway Analysis From The Childhood Cancer And Leukemia International Consortium, Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels

Faculty, Staff and Students Publications

BACKGROUND: Prenatal folate supplementation has been consistently associated with a reduced risk of childhood acute lymphoblastic leukemia (ALL). Previous germline genetic studies examining the one carbon (folate) metabolism pathway were limited in sample size, scope, and population diversity and led to inconclusive results.

METHODS: We evaluated whether ∼2,900 single-nucleotide polymorphisms (SNP) within 46 candidate genes involved in the folate metabolism pathway influence the risk of childhood ALL, using genome-wide data from nine case-control studies in the Childhood Cancer and Leukemia International Consortium (n = 9,058 cases including 4,510 children of European ancestry, 3,018 Latinx, and 1,406 Asians, and 92,364 controls). …

Setrusumab For The Treatment Of Osteogenesis Imperfecta: 12-Month Results From The Phase 2b Asteroid Study, Francis H Glorieux, Bente Langdahl, Roland Chapurlat, Suzanne Jan De Beur, Vernon Reid Sutton, Kenneth E S Poole, Kathryn M Dahir, Eric S Orwoll, Bettina M Willie, Nicholas Mikolajewicz, Elizabeth Zimmermann, Seyedmahdi Hosseinitabatabaei, Michael S Ominsky, Chris Saville, James Clancy, Alastair Mackinnon, Arun Mistry, Muhammad K Javaid

Faculty, Staff and Students Publications

Osteogenesis imperfecta (OI) is a rare genetic disorder commonly caused by variants of the type I collagen genes COL1A1 and COL1A2. OI is associated with increased bone fragility, bone deformities, bone pain, and reduced growth. Setrusumab, a neutralizing antibody to sclerostin, increased areal bone mineral density (aBMD) in a 21-week phase 2a dose escalation study. The phase 2b Asteroid (NCT03118570) study evaluated the efficacy and safety of setrusumab in adults. Adults with a clinical diagnosis of OI type I, III, or IV, a pathogenic variant in COL1A1/A2, and a recent fragility fracture were randomized 1:1:1:1 to receive 2, 8, or …

Psychosocial Outcomes Of Pain And Pain Management In Adults With Osteogenesis Imperfecta: A Qualitative Study, Whitney S Shepherd, Andrew D Wiese, Hannah E Cho, W Conor Rork, M Usman Baig, Kristin M Kostick, Dianne Nguyen, Erin M Carter, Members Of The Bbdc, Chaya N Murali, Marie-Eve Robinson, Sophie C Schneider, Brendan Lee, V Reid Sutton, Eric A Storch

Faculty, Staff and Students Publications

Objectives

Osteogenesis imperfecta (OI) is a genetic disorder characterized by bone fragility and fractures, short stature, dental abnormalities, hearing loss, scoliosis, and chronic pain. Despite a growing literature on the functional outcomes of OI, limited research has explicitly examined the psychosocial outcomes of pain within OI.

Methods

Adults with OI (N=15) were interviewed to understand pain-related experiences through a thematic analysis of semi-structured interview data. Research team members, genetic research experts, and OI clinicians developed an interview guide focused on topics related to pain and mental health challenges. Participants’ transcripts were coded by two independent coders; codes were then merged …

Emerin Deficiency Drives Mcf7 Cells To An Invasive Phenotype, Emily Hansen, Christal Rolling, Matthew Wang, James M Holaska

Rowan-Virtua School of Osteopathic Medicine Departmental Research

During metastasis, cancer cells traverse the vasculature by squeezing through very small gaps in the endothelium. Thus, nuclei in metastatic cancer cells must become more malleable to move through these gaps. Our lab showed invasive breast cancer cells have 50% less emerin protein resulting in smaller, misshapen nuclei, and higher metastasis rates than non-cancerous controls. Thus, emerin deficiency was predicted to cause increased nuclear compliance, cell migration, and metastasis. We tested this hypothesis by downregulating emerin in noninvasive MCF7 cells and found emerin knockdown causes smaller, dysmorphic nuclei, resulting in increased impeded cell migration. Emerin reduction in invasive breast cancer …

Whole Genome And Reverse Protein Phase Array Landscapes Of Patient Derived Osteosarcoma Xenograft Models, Chia-Chin Wu, Licai Huang, Zhongting Zhang, Zhenlin Ju, Xingzhi Song, E Anders Kolb, Wendong Zhang, Jonathan Gill, Min Ha, Malcolm A Smith, Peter Houghton, Christopher L Morton, Raushan Kurmasheva, John Maris, Yael Mosse, Yiling Lu, Richard Gorlick, P Andrew Futreal, Hannah C Beird

Faculty, Staff and Student Publications

Osteosarcoma is the most common primary bone malignancy in children and young adults, and it has few treatment options. As a result, there has been little improvement in survival outcomes in the past few decades. The need for models to test novel therapies is especially great in this disease since it is both rare and does not respond to most therapies. To address this, an NCI-funded consortium has characterized and utilized a panel of patient-derived xenograft models of osteosarcoma for drug testing. The exomes, transcriptomes, and copy number landscapes of these models have been presented previously. This study now adds …

The Complex Molecular Epileptogenesis Landscape Of Glioblastoma, Victoria Soeung, Ralph B Puchalski, Jeffrey L Noebels

Faculty, Staff and Students Publications

The cortical microenvironment surrounding malignant glioblastoma is a source of depolarizing crosstalk favoring hyperexcitability, tumor expansion, and immune evasion. Neosynaptogenesis, excess glutamate, and altered intrinsic membrane currents contribute to excitability dyshomeostasis, yet only half of the cases develop seizures, suggesting that tumor and host genomics, along with location, rather than mass effect, play a critical role. We analyzed the spatial contours and expression of 358 clinically validated human epilepsy genes in the human glioblastoma transcriptome compared to non-tumor adult and developing cortex datasets. Nearly half, including dosage-sensitive genes whose expression levels are securely linked to monogenic epilepsy, are strikingly enriched …

3d Chromatin Architecture, Brd4, And Mediator Have Distinct Roles In Regulating Genome-Wide Transcriptional Bursting And Gene Network, Pawel Trzaskoma, Seolkyoung Jung, Aleksandra Pękowska, Christopher H Bohrer, Xiang Wang, Faiza Naz, Stefania Dell'orso, Wendy D Dubois, Ana Olivera, Supriya V Vartak, Yongbing Zhao, Subhashree Nayak, Andrew Overmiller, Maria I Morasso, Vittorio Sartorelli, Daniel R Larson, Carson C Chow, Rafael Casellas, John J O'Shea

Faculty, Staff and Student Publications

Discontinuous transcription is evolutionarily conserved and a fundamental feature of gene regulation; yet, the exact mechanisms underlying transcriptional bursting are unresolved. Analyses of bursting transcriptome-wide have focused on the role of cis-regulatory elements, but other factors that regulate this process remain elusive. We applied mathematical modeling to single-cell RNA sequencing data to infer bursting dynamics transcriptome-wide under multiple conditions to identify possible molecular mechanisms. We found that Mediator complex subunit 26 (MED26) primarily regulates frequency, MYC regulates burst size, while cohesin and Bromodomain-containing protein 4 (BRD4) can modulate both. Despite comparable effects on RNA levels among these perturbations, acute depletion …

Diagnostic Utility Of Dna Methylation Analysis In Genetically Unsolved Pediatric Epilepsies And Chd2 Episignature Refinement, Christy W Laflamme, Cassandra Rastin, Soham Sengupta, Helen E Pennington, Sophie J Russ-Hall, Amy L Schneider, Emily S Bonkowski, Edith P Almanza Fuerte, Talia J Allan, Miranda Perez-Galey Zalusky, Joy Goffena, Sophia B Gibson, Denis M Nyaga, Nico Lieffering, Malavika Hebbar, Emily V Walker, Daniel Darnell, Scott R Olsen, Pandurang Kolekar, Mohamed Nadhir Djekidel, Wojciech Rosikiewicz, Haley Mcconkey, Jennifer Kerkhof, Michael A Levy, Raissa Relator, Dorit Lev, Tally Lerman-Sagie, Kristen L Park, Marielle Alders, Gerarda Cappuccio, Nicolas Chatron, Leigh Demain, David Genevieve, Gaetan Lesca, Tony Roscioli, Damien Sanlaville, Matthew L Tedder, Sachin Gupta, Elizabeth A Jones, Monika Weisz-Hubshman, Shamika Ketkar, Hongzheng Dai, Kim C Worley, Jill A Rosenfeld, Hsiao-Tuan Chao, Undiagnosed Diseases Network, Geoffrey Neale, Gemma L Carvill, University Of Washington Center For Rare Disease Research, Zhaoming Wang, Samuel F Berkovic, Lynette G Sadleir, Danny E Miller, Ingrid E Scheffer, Bekim Sadikovic, Heather C Mefford

Faculty, Staff and Students Publications

Sequence-based genetic testing identifies causative variants in ~ 50% of individuals with developmental and epileptic encephalopathies (DEEs). Aberrant changes in DNA methylation are implicated in various neurodevelopmental disorders but remain unstudied in DEEs. We interrogate the diagnostic utility of genome-wide DNA methylation array analysis on peripheral blood samples from 582 individuals with genetically unsolved DEEs. We identify rare differentially methylated regions (DMRs) and explanatory episignatures to uncover causative and candidate genetic etiologies in 12 individuals. Using long-read sequencing, we identify DNA variants underlying rare DMRs, including one balanced translocation, three CG-rich repeat expansions, and four copy number variants. We also …

De Novo Variants In The Rnu4-2 Snrna Cause A Frequent Neurodevelopmental Syndrome, Yuyang Chen, Ruebena Dawes, Hyung Chul Kim, Alicia Ljungdahl, Sarah L Stenton, Susan Walker, Jenny Lord, Gabrielle Lemire, Alexandra C Martin-Geary, Vijay S Ganesh, Jialan Ma, Jamie M Ellingford, Erwan Delage, Elston N D'Souza, Shan Dong, David R Adams, Kirsten Allan, Madhura Bakshi, Erin E Baldwin, Seth I Berger, Jonathan A Bernstein, Ishita Bhatnagar, Ed Blair, Natasha J Brown, Lindsay C Burrage, Kimberly Chapman, David J Coman, Alison G Compton, Chloe A Cunningham, Precilla D'Souza, Petr Danecek, Emmanuèle C Délot, Kerith-Rae Dias, Ellen R Elias, Frances Elmslie, Care-Anne Evans, Lisa Ewans, Kimberly Ezell, Jamie L Fraser, Lyndon Gallacher, Casie A Genetti, Anne Goriely, Christina L Grant, Tobias Haack, Jenny E Higgs, Anjali G Hinch, Matthew E Hurles, Alma Kuechler, Katherine L Lachlan, Seema R Lalani, François Lecoquierre, Elsa Leitão, Anna Le Fevre, Richard J Leventer, Jan E Liebelt, Sarah Lindsay, Paul J Lockhart, Alan S Ma, Ellen F Macnamara, Sahar Mansour, Taylor M Maurer, Hector R Mendez, Kay Metcalfe, Stephen B Montgomery, Mariya Moosajee, Marie-Cécile Nassogne, Serena Neumann, Michael O'Donoghue, Melanie O'Leary, Elizabeth E Palmer, Nikhil Pattani, John Phillips, Georgia Pitsava, Ryan Pysar, Heidi L Rehm, Chloe M Reuter, Nicole Revencu, Angelika Riess, Rocio Rius, Lance Rodan, Tony Roscioli, Jill A Rosenfeld, Rani Sachdev, Charles J Shaw-Smith, Cas Simons, Sanjay M Sisodiya, Penny Snell, Laura St Clair, Zornitza Stark, Helen S Stewart, Tiong Yang Tan, Natalie B Tan, Suzanna E L Temple, David R Thorburn, Cynthia J Tifft, Eloise Uebergang, Grace E Vannoy, Pradeep Vasudevan, Eric Vilain, David H Viskochil, Laura Wedd, Matthew T Wheeler, Susan M White, Monica Wojcik, Lynne A Wolfe, Zoe Wolfenson, Caroline F Wright, Changrui Xiao, David Zocche, John L Rubenstein, Eirene Markenscoff-Papadimitriou, Sebastian M Fica, Diana Baralle, Christel Depienne, Daniel G Macarthur, Joanna M M Howson, Stephan J Sanders, Anne O'Donnell-Luria, Nicola Whiffin

Faculty, Staff and Students Publications

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of …

Cardiomyopathy, An Uncommon Phenotype Of Congenital Disorders Of Glycosylation: Recommendations For Baseline Screening And Follow-Up Evaluation, Roni Zemet, Kyle D Hope, Andrew C Edmondson, Rameen Shah, Maria Patino, Abigail M Yesso, Justin H Berger, Kyriakie Sarafoglou, Austin Larson, Christina Lam, Eva Morava, Fernando Scaglia

Faculty, Staff and Students Publications

Introduction:

Congenital disorders of glycosylation (CDG) are a continuously expanding group of monogenic disorders that disrupt glycoprotein and glycolipid biosynthesis, leading to multi-systemic manifestations. These disorders are categorized into various groups depending on which part of the glycosylation process is impaired. The cardiac manifestations in CDG can significantly differ, not only across different types but also among individuals with the same genetic cause of CDG. Cardiomyopathy is an important phenotype in CDG. The clinical manifestations and progression of cardiomyopathy in CDG patients have not been well characterized. This study aims to delineate common patterns of cardiomyopathy across a range of …

Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yulin Dai, Toshiyuki Itai, Guangsheng Pei, Fangfang Yan, Yan Chu, Xiaoqian Jiang, Seth M Weinberg, Nandita Mukhopadhyay, Mary L Marazita, Lukas M Simon, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Orofacial clefts (OFCs) are among the most common human congenital birth defects. Previous multiethnic studies have identified dozens of associated loci for both cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP). Although several nearby genes have been highlighted, the "casual" variants are largely unknown. Here, we developed DeepFace, a convolutional neural network model, to assess the functional impact of variants by SNP activity difference (SAD) scores. The DeepFace model is trained with 204 epigenomic assays from crucial human embryonic craniofacial developmental stages of post-conception week (pcw) 4 to pcw 10. The Pearson correlation coefficient between …

Single-Cell Total-Rna Profiling Unveils Regulatory Hubs Of Transcription Factors, Yichi Niu, Jiayi Luo, Chenghang Zong

Faculty, Staff and Students Publications

Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from unspliced RNA to spliced RNA (i.e., mature RNA) to degradation. To feed this kinetic analysis, simultaneous measurement of unspliced RNA and spliced RNA in single cells is greatly desired. However, the majority of single-cell RNA-seq chemistry primarily captures mature RNA species to measure gene expressions. Here, we develop a one-step total-RNA chemistry-based single-cell RNA-seq method: snapTotal-seq. We benchmark this method with multiple single-cell RNA-seq assays in their performance in kinetic analysis of cell cycle by RNA velocity. Next, with LASSO regression …

Monoallelic De Novo Ajap1 Loss-Of-Function Variants Disrupt Trans-Synaptic Control Of Neurotransmitter Release, Simon Früh, Sami Boudkkazi, Peter Koppensteiner, Vita Sereikaite, Li-Yuan Chen, Diego Fernandez-Fernandez, Pascal D Rem, Daniel Ulrich, Jochen Schwenk, Ziyang Chen, Elodie Le Monnier, Thorsten Fritzius, Sabrina M Innocenti, Valérie Besseyrias, Luca Trovò, Michal Stawarski, Emanuela Argilli, Elliott H Sherr, Bregje Van Bon, Erik-Jan Kamsteeg, Maria Iascone, Alba Pilotta, Maria R Cutrì, Mahshid S Azamian, Andrés Hernández-García, Seema R Lalani, Jill A Rosenfeld, Xiaonan Zhao, Tiphanie P Vogel, Herda Ona, Daryl A Scott, Peter Scheiffele, Kristian Strømgaard, Mehdi Tafti, Martin Gassmann, Bernd Fakler, Ryuichi Shigemoto, Bernhard Bettler

Faculty, Staff and Students Publications

Adherens junction–associated protein 1 (AJAP1) has been implicated in brain diseases; however, a pathogenic mechanism has not been identified. AJAP1 is widely expressed in neurons and binds to γ-aminobutyric acid type B receptors (GBRs), which inhibit neurotransmitter release at most synapses in the brain. Here, we show that AJAP1 is selectively expressed in dendrites and trans-synaptically recruits GBRs to presynaptic sites of neurons expressing AJAP1. We have identified several monoallelic AJAP1 variants in individuals with epilepsy and/or neurodevelopmental disorders. Specifically, we show that the variant p.(W183C) lacks binding to GBRs, resulting in the inability to recruit them. Ultrastructural analysis revealed …

Psmd11 Loss-Of-Function Variants Correlate With A Neurobehavioral Phenotype, Obesity, And Increased Interferon Response, Wallid Deb, Cory Rosenfelt, Virginie Vignard, Jonas Johannes Papendorf, Sophie Möller, Martin Wendlandt, Maja Studencka-Turski, Benjamin Cogné, Thomas Besnard, Léa Ruffier, Bérénice Toutain, Léa Poirier, Silvestre Cuinat, Amy Kritzer, Amy Crunk, Janette Dimonda, Jaime Vengoechea, Sandra Mercier, Lotte Kleinendorst, Mieke M Van Haelst, Linda Zuurbier, Telma Sulem, Hildigunnur Katrínardóttir, Rún Friðriksdóttir, Patrick Sulem, Kari Stefansson, Berglind Jonsdottir, Shimriet Zeidler, Margje Sinnema, Alexander P A Stegmann, Natali Naveh, Cara M Skraban, Christopher Gray, Jill R Murrell, Sedat Isikay, Davut Pehlivan, Daniel G Calame, Jennifer E Posey, Mathilde Nizon, Kirsty Mcwalter, James R Lupski, Bertrand Isidor, François V Bolduc, Stéphane Bézieau, Elke Krüger, Sébastien Küry, Frédéric Ebstein

Faculty, Staff and Students Publications

Primary proteasomopathies have recently emerged as a new class of rare early-onset neurodevelopmental disorders (NDDs) caused by pathogenic variants in the PSMB1, PSMC1, PSMC3, or PSMD12 proteasome genes. Proteasomes are large multi-subunit protein complexes that maintain cellular protein homeostasis by clearing ubiquitin-tagged damaged, misfolded, or unnecessary proteins. In this study, we have identified PSMD11 as an additional proteasome gene in which pathogenic variation is associated with an NDD-causing proteasomopathy. PSMD11 loss-of-function variants caused early-onset syndromic intellectual disability and neurodevelopmental delay with recurrent obesity in 10 unrelated children. Our findings demonstrate that the cognitive impairment observed in these individuals could be …

Inverted Triplications Formed By Iterative Template Switches Generate Structural Variant Diversity At Genomic Disorder Loci, Christopher M Grochowski, Jesse D Bengtsson, Haowei Du, Mira Gandhi, Ming Yin Lun, Michele G Mehaffey, Kyunghee Park, Wolfram Höps, Eva Benito, Patrick Hasenfeld, Jan O Korbel, Medhat Mahmoud, Luis F Paulin, Shalini N Jhangiani, James Paul Hwang, Sravya V Bhamidipati, Donna M Muzny, Jawid M Fatih, Richard A Gibbs, Matthew Pendleton, Eoghan Harrington, Sissel Juul, Anna Lindstrand, Fritz J Sedlazeck, Davut Pehlivan, James R Lupski, Claudia M B Carvalho

Faculty, Staff and Students Publications

The duplication-triplication/inverted-duplication (DUP-TRP/INV-DUP) structure is a complex genomic rearrangement (CGR). Although it has been identified as an important pathogenic DNA mutation signature in genomic disorders and cancer genomes, its architecture remains unresolved. Here, we studied the genomic architecture of DUP-TRP/INV-DUP by investigating the DNA of 24 patients identified by array comparative genomic hybridization (aCGH) on whom we found evidence for the existence of 4 out of 4 predicted structural variant (SV) haplotypes. Using a combination of short-read genome sequencing (GS), long-read GS, optical genome mapping, and single-cell DNA template strand sequencing (strand-seq), the haplotype structure was resolved in 18 samples. …