Biomedical Informatics Commons^™

High-Coverage Nanopore Sequencing Of Samples From The 1000 Genomes Project To Build A Comprehensive Catalog Of Human Genetic Variation, Jonas A Gustafson, Sophia B Gibson, Nikhita Damaraju, Miranda P G Zalusky, Kendra Hoekzema, David Twesigomwe, Lei Yang, Anthony A Snead, Phillip A Richmond, Wouter De Coster, Nathan D Olson, Andrea Guarracino, Qiuhui Li, Angela L Miller, Joy Goffena, Zachary B Anderson, Sophie H R Storz, Sydney A Ward, Maisha Sinha, Claudia Gonzaga-Jauregui, Wayne E Clarke, Anna O Basile, André Corvelo, Catherine Reeves, Adrienne Helland, Rajeeva Lochan Musunuri, Mahler Revsine, Karynne E Patterson, Cate R Paschal, Christina Zakarian, Sara Goodwin, Tanner D Jensen, Esther Robb, 1000 Genomes Ont Sequencing Consortium, University Of Washington Center For Rare Disease Research (Uw-Crdr), Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium, William Richard Mccombie, Fritz J Sedlazeck, Justin M Zook, Stephen B Montgomery, Erik Garrison, Mikhail Kolmogorov, Michael C Schatz, Richard N Mclaughlin, Harriet Dashnow, Michael C Zody, Matt Loose, Miten Jain, Evan E Eichler, Danny E Miller

Faculty, Staff and Students Publications

Fewer than half of individuals with a suspected Mendelian or monogenic condition receive a precise molecular diagnosis after comprehensive clinical genetic testing. Improvements in data quality and costs have heightened interest in using long-read sequencing (LRS) to streamline clinical genomic testing, but the absence of control data sets for variant filtering and prioritization has made tertiary analysis of LRS data challenging. To address this, the 1000 Genomes Project (1KGP) Oxford Nanopore Technologies Sequencing Consortium aims to generate LRS data from at least 800 of the 1KGP samples. Our goal is to use LRS to identify a broader spectrum of variation …

Leveraging The T2t Assembly To Resolve Rare And Pathogenic Inversions In Reference Genome Gaps, Kristine Bilgrav Saether, Jesper Eisfeldt, Jesse D Bengtsson, Ming Yin Lun, Christopher M Grochowski, Medhat Mahmoud, Hsiao-Tuan Chao, Jill A Rosenfeld, Pengfei Liu, Marlene Ek, Jakob Schuy, Adam Ameur, Hongzheng Dai, Undiagnosed Diseases Network, James Paul Hwang, Fritz J Sedlazeck, Weimin Bi, Ronit Marom, Josephine Wincent, Ann Nordgren, Claudia M B Carvalho, Anna Lindstrand

Faculty, Staff and Students Publications

Chromosomal inversions (INVs) are particularly challenging to detect due to their copy-number neutral state and association with repetitive regions. Inversions represent about 1/20 of all balanced structural chromosome aberrations and can lead to disease by gene disruption or altering regulatory regions of dosage-sensitive genes in cis. Short-read genome sequencing (srGS) can only resolve ∼70% of cytogenetically visible inversions referred to clinical diagnostic laboratories, likely due to breakpoints in repetitive regions. Here, we study 12 inversions by long-read genome sequencing (lrGS) (n = 9) or srGS (n = 3) and resolve nine of them. In four cases, the …

Tumor-Associated Antigen Prediction Using A Single-Sample Gene Expression State Inference Algorithm, Xinpei Yi, Hongwei Zhao, Shunjie Hu, Liangqing Dong, Yongchao Dou, Jing Li, Qiang Gao, Bing Zhang

Faculty, Staff and Students Publications

We developed a Bayesian-based algorithm to infer gene expression states in individual samples and incorporated it into a workflow to identify tumor-associated antigens (TAAs) across 33 cancer types using RNA sequencing (RNA-seq) data from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA). Our analysis identified 212 candidate TAAs, with 78 validated in independent RNA-seq datasets spanning seven cancer types. Eighteen of these TAAs were further corroborated by proteomics data, including 10 linked to liver cancer. We predicted that 38 peptides derived from these 10 TAAs would bind strongly to HLA-A02, the most common HLA allele. Experimental validation confirmed …

Sample Multiplexing For Retinal Single-Cell Rna Sequencing, Justin Ma, Ting-Kuan Chu, Maria Polo-Prieto, Yong H Park, Yumei Li, Rui Chen, Graeme Mardon, Benjamin J Frankfort, Nicholas M Tran

Faculty, Staff and Students Publications

Rare cell populations can be challenging to characterize using microfluidic single-cell RNA sequencing (scRNA-seq) platforms. Typically, the population of interest must be enriched and pooled from multiple biological specimens for efficient collection. However, these practices preclude the resolution of sample origin together with phenotypic data and are problematic in experiments in which biological or technical variation is expected to be high (e.g., disease models, genetic perturbation screens, or human samples). One solution is sample multiplexing whereby each sample is tagged with a unique sequence barcode that is resolved bioinformatically. We have established a scRNA-seq sample multiplexing pipeline for mouse retinal …

Long-Read Sequencing Of An Advanced Cancer Cohort Resolves Rearrangements, Unravels Haplotypes, And Reveals Methylation Landscapes, Kieran O'Neill, Erin Pleasance, Jeremy Fan, Vahid Akbari, Glenn Chang, Katherine Dixon, Veronika Csizmok, Signe Maclennan, Vanessa Porter, Andrew Galbraith, Cameron J Grisdale, Luka Culibrk, John H Dupuis, Richard Corbett, James Hopkins, Reanne Bowlby, Pawan Pandoh, Duane E Smailus, Dean Cheng, Tina Wong, Connor Frey, Yaoqing Shen, Eleanor Lewis, Luis F Paulin, Fritz J Sedlazeck, Jessica M T Nelson, Eric Chuah, Karen L Mungall, Richard A Moore, Robin Coope, Andrew J Mungall, Melissa K Mcconechy, Laura M Williamson, Kasmintan A Schrader, Stephen Yip, Marco A Marra, Janessa Laskin, Steven J M Jones

Faculty, Staff and Students Publications

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can …

Large-Scale Application Of Clingen-Insight Apc-Specific Acmg/Amp Variant Classification Criteria Leads To Substantial Reduction In Vus, Xiaoyu Yin, Marcy Richardson, Andreas Laner, Xuemei Shi, Elisabet Ognedal, Valeria Vasta, Thomas V O Hansen, Marta Pineda, Deborah Ritter, Johan De Dunnen, Emadeldin Hassanin, Wencong Lyman Lin, Ester Borras, Karl Krahn, Margareta Nordling, Alexandra Martins, Khalid Mahmood, Emily Nadeau, Victoria Beshay, Carli Tops, Maurizio Genuardi, Tina Pesaran, Ian M Frayling, Gabriel Capellá, Andrew Latchford, Sean V Tavtigian, Carlo Maj, Sharon E Plon, Marc S Greenblatt, Finlay A Macrae, Isabel Spier, Stefan Aretz

Faculty, Staff and Students Publications

Pathogenic constitutional APC variants underlie familial adenomatous polyposis, the most common hereditary gastrointestinal polyposis syndrome. To improve variant classification and resolve the interpretative challenges of variants of uncertain significance (VUSs), APC-specific variant classification criteria were developed by the ClinGen-InSiGHT Hereditary Colorectal Cancer/Polyposis Variant Curation Expert Panel (VCEP) based on the criteria of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP). A streamlined algorithm using the APC-specific criteria was developed and applied to assess all APC variants in ClinVar and the International Society for Gastrointestinal Hereditary Tumours (InSiGHT) international reference APC Leiden Open Variation …

Estimating The Number Of Polygenic Diseases Among Six Mutually Exclusive Entities Of Non-Tumors And Cancer, C I Edvard Smith, Jan A Burger, Rula Zain

Faculty, Staff and Student Publications

In the era of precision medicine with increasing amounts of sequenced cancer and non-cancer genomes of different ancestries, we here enumerate the resulting polygenic disease entities. Based on the cell number status, we first identified six fundamental types of polygenic illnesses, five of which are non-cancerous. Like complex, non-tumor disorders, neoplasms normally carry alterations in multiple genes, including in 'Drivers' and 'Passengers'. However, tumors also lack certain genetic alterations/epigenetic changes, recently named 'Goners', which are toxic for the neoplasm and potentially constitute therapeutic targets. Drivers are considered essential for malignant transformation, whereas environmental influences vary considerably among both types of …

Xenomake: A Pipeline For Processing And Sorting Xenograft Reads From Spatial Transcriptomic Experiments, Benjamin S Strope, Katherine E Pendleton, William Z Bowie, Gloria V Echeverria, Qian Zhu

Faculty, Staff and Students Publications

SUMMARY: Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provides a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline for the automated handling of spatial xenograft reads. Xenomake handles read processing, alignment, xenograft read sorting, and connects well with downstream spatial analysis packages. We additionally show that Xenomake can correctly assign organism-specific reads, reduce sparsity of data by …

Genetic Regulation Of Human Brain Proteome Reveals Proteins Implicated In Psychiatric Disorders, Jie Luo, Ling Li, Mingming Niu, Dehui Kong, Yi Jiang, Suresh Poudel, Annie W Shieh, Lijun Cheng, Gina Giase, Kay Grennan, Kevin P White, Chao Chen, Sidney H Wang, Dalila Pinto, Yue Wang, Chunyu Liu, Junmin Peng, Xusheng Wang

Faculty, Staff and Student Publications

Psychiatric disorders are highly heritable yet polygenic, potentially involving hundreds of risk genes. Genome-wide association studies have identified hundreds of genomic susceptibility loci with susceptibility to psychiatric disorders; however, the contribution of these loci to the underlying psychopathology and etiology remains elusive. Here we generated deep human brain proteomics data by quantifying 11,608 proteins across 268 subjects using 11-plex tandem mass tag coupled with two-dimensional liquid chromatography-tandem mass spectrometry. Our analysis revealed 788 cis-acting protein quantitative trait loci associated with the expression of 883 proteins at a genome-wide false discovery rate < 5%. In contrast to expression at the transcript level and complex diseases that are found to be mainly influenced by noncoding variants, we found protein expression level tends to be regulated by non-synonymous variants. We also provided evidence of 76 shared regulatory signals between gene expression and protein abundance. Mediation analysis revealed that for most (88%) of the colocalized genes, the expression levels of their corresponding proteins are regulated by cis-pQTLs via gene transcription. Using summary data-based Mendelian randomization analysis, we identified 4 proteins and 19 genes that are causally associated with schizophrenia. We further integrated multiple omics data with network analysis to prioritize candidate genes for schizophrenia risk loci. Collectively, our findings underscore the potential of proteome-wide linkage analysis in gaining mechanistic insights into the pathogenesis of psychiatric disorders.

Allosteric Competition And Inhibition In Ampa Receptors, W Dylan Hale, Alejandra Montaño Romero, Cuauhtemoc U Gonzalez, Vasanthi Jayaraman, Albert Y Lau, Richard L Huganir, Edward C Twomey

Faculty, Staff and Student Publications

Excitatory neurotransmission is principally mediated by α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-subtype ionotropic glutamate receptors (AMPARs). Negative allosteric modulators are therapeutic candidates that inhibit AMPAR activation and can compete with positive modulators to control AMPAR function through unresolved mechanisms. Here we show that allosteric inhibition pushes AMPARs into a distinct state that prevents both activation and positive allosteric modulation. We used cryo-electron microscopy to capture AMPARs bound to glutamate, while a negative allosteric modulator, GYKI-52466, and positive allosteric modulator, cyclothiazide, compete for control of the AMPARs. GYKI-52466 binds in the ion channel collar and inhibits AMPARs by decoupling the ligand-binding domains from the …

Pharmacogenomic Insights In Psychiatric Care: Uncovering Novel Actionability, Allele-Specific Cyp2d6 Copy Number Variation, And Phenoconversion In 15,000 Patients, Jai N Patel, Sarah A Morris, Raul Torres, Brooke Rhead, Chris Vlangos, Daniel J Mueller, Lisa C Brown, Hailey Lefkofsky, Muneer Ali, Francisco M De La Vega, Kathleen C Barnes, Anthony Zoghbi, Joseph D Stanton, Marcus A Badgeley

Faculty, Staff and Students Publications

Pharmacogenomic testing has emerged as an aid in clinical decision making for psychiatric providers, but more data is needed regarding its utility in clinical practice and potential impact on patient care. In this cross-sectional study, we determined the real-world prevalence of pharmacogenomic actionability in patients receiving psychiatric care. Potential actionability was based on the prevalence of CYP2C19 and CYP2D6 phenotypes, including CYP2D6 allele-specific copy number variations (CNVs). Combined actionability additionally incorporated CYP2D6 phenoconversion and the novel CYP2C-TG haplotype in patients with available medication data. Across 15,000 patients receiving clinical pharmacogenomic testing, 65% had potentially actionable CYP2D6 and CYP2C19 phenotypes, and …

Loss-Of-Function In Rbbp5 Results In A Syndromic Neurodevelopmental Disorder Associated With Microcephaly, Yue Huang, Kristy L Jay, Alden Yen-Wen Huang, Jijun Wan, Sharayu V Jangam, Odelia Chorin, Annick Rothschild, Ortal Barel, Milena Mariani, Maria Iascone, Han Xue, Undiagnosed Diseases Network, Jing Huang, Cyril Mignot, Boris Keren, Virginie Saillour, Annelise Y Mah-Som, Stephanie Sacharow, Farrah Rajabi, Carrie Costin, Shinya Yamamoto, Oguz Kanca, Hugo J Bellen, Jill A Rosenfeld, Christina G S Palmer, Stanley F Nelson, Michael F Wangler, Julian A Martinez-Agosto

Faculty, Staff and Students Publications

PURPOSE: Epigenetic dysregulation has been associated with many inherited disorders. RBBP5 (HGNC:9888) encodes a core member of the protein complex that methylates histone 3 lysine-4 and has not been implicated in human disease.

METHODS: We identify 5 unrelated individuals with de novo heterozygous variants in RBBP5. Three nonsense/frameshift and 2 missense variants were identified in probands with neurodevelopmental symptoms, including global developmental delay, intellectual disability, microcephaly, and short stature. Here, we investigate the pathogenicity of the variants through protein structural analysis and transgenic Drosophila models.

RESULTS: Both missense p.(T232I) and p.(E296D) variants affect evolutionarily conserved amino acids located at the …

Tumour-Intrinsic Pdl1 Signals Regulate The Chk2 Dna Damage Response In Cancer Cells And Mediate Resistance To Chk1 Inhibitors, Clare E Murray, Anand V R Kornepati, Carlos Ontiveros, Yiji Liao, Bárbara De La Peña Avalos, Cody M Rogers, Zexuan Liu, Yilun Deng, Haiyan Bai, Suresh Kari, Alvaro S Padron, Jacob T Boyd, Ryan Reyes, Curtis A Clark, Robert S Svatek, Rong Li, Yanfen Hu, Meiling Wang, José R Conejo-Garcia, Lauren A Byers, Kavya Ramkumar, Anil K Sood, Jung-Min Lee, Christin E Burd, Ratna K Vadlamudi, Harshita B Gupta, Weixing Zhao, Eloïse Dray, Patrick Sung, Tyler J Curiel

Faculty, Staff and Student Publications

Background: Aside from the canonical role of PDL1 as a tumour surface-expressed immune checkpoint molecule, tumour-intrinsic PDL1 signals regulate non-canonical immunopathological pathways mediating treatment resistance whose significance, mechanisms, and therapeutic targeting remain incompletely understood. Recent reports implicate tumour-intrinsic PDL1 signals in the DNA damage response (DDR), including promoting homologous recombination DNA damage repair and mRNA stability of DDR proteins, but many mechanistic details remain undefined.

Methods: We genetically depleted PDL1 from transplantable mouse and human cancer cell lines to understand consequences of tumour-intrinsic PDL1 signals in the DNA damage response. We complemented this work with studies of primary human tumours …

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 …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

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% …

Whole Genomes Of Amazonian Uakari Monkeys Reveal Complex Connectivity And Fast Differentiation Driven By High Environmental Dynamism, Núria Hermosilla-Albala, Felipe Ennes Silva, Sebastián Cuadros-Espinoza, Claudia Fontsere, Alejandro Valenzuela-Seba, Harvinder Pawar, Marta Gut, Joanna L Kelley, Sandra Ruibal-Puertas, Pol Alentorn-Moron, Armida Faella, Esther Lizano, Izeni Farias, Tomas Hrbek, Joao Valsecchi, Ivo G Gut, Jeffrey Rogers, Kyle Kai-How Farh, Lukas F K Kuderna, Tomas Marques-Bonet, Jean P Boubli

Faculty, Staff and Students Publications

Despite showing the greatest primate diversity on the planet, genomic studies on Amazonian primates show very little representation in the literature. With 48 geolocalized high coverage whole genomes from wild uakari monkeys, we present the first population-level study on platyrrhines using whole genome data. In a very restricted range of the Amazon rainforest, eight uakari species (Cacajao genus) have been described and categorized into the bald and black uakari groups, based on phenotypic and ecological differences. Despite a slight habitat overlap, we show that posterior to their split 0.92 Mya, bald and black uakaris have remained independent, without gene flow. …

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 …

Molecular Landscape Of Erbb2 Alterations In 3000 Advanced Nsclc Patients, Lingzhi Hong, Sonia Patel, Leylah M Drusbosky, Yuanyuan Xiong, Rongrong Chen, Ruixuan Geng, Simon Heeke, Monique Nilsson, Jia Wu, John V Heymach, Yingyi Wang, Jianjun Zhang, Xiuning Le

Faculty, Staff and Student Publications

ERBB2 (HER2) represents a newly recognized actionable oncogenic driver in non-small cell lung cancer (NSCLC), with approved targeted therapy available. Understanding the landscape of ERBB2 alterations and co-occurring mutations is essential for guiding treatment decisions. We conducted an analysis involving 3000 NSCLC patients with all types of ERBB2 alterations, drawn from two extensive retrospective cohorts: 1281 from Geneplus (Chinese) and 1719 from Guardant360 (the United States, US). The incidence of all types of ERBB2 alterations was found to be 5.6% in the Chinese group and 5.2% in the US group. In both cohorts, among oncogenic alterations of ERBB2, exon 20 …

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 …

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 …

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 …

Pelage Variation And Morphometrics Of Closely Related Callithrix Marmoset Species And Their Hybrids, Joanna Malukiewicz, Kerryn Warren, Vanner Boere, Illaira L C Bandeira, Nelson H A Curi, Fabio T Das Dores, Lilian S Fitorra, Haroldo R Furuya, Claudia S Igayara, Liliane Milanelo, Silvia B Moreira, Camila V Molina, Marcello S Nardi, Patricia A Nicola, Marcelo Passamani, Valeria S Pedro, Luiz C M Pereira, Bruno Petri, Alcides Pissinatti, Adriana Alves Quirino, Jeffrey Rogers, Carlos R Ruiz-Miranda, Daniel L Silva, Ita O Silva, Monique O M Silva, Juliana L Summa, Ticiana Zwarg, Rebecca R Ackermann

Faculty, Staff and Students Publications

BACKGROUND: Hybrids are expected to show greater phenotypic variation than their parental species, yet how hybrid phenotype expression varies with genetic distances in closely-related parental species remains surprisingly understudied. Here, we investigate pelage and morphometric trait variation in anthropogenic hybrids between four species of Brazilian Callithrix marmosets, a relatively recent primate radiation. Marmoset species are distinguishable by pelage phenotype and morphological specializations for eating tree exudates. In this work, we (1) describe qualitative phenotypic pelage differences between parental species and hybrids; (2) test whether significant quantitative differences exist between parental and hybrid morphometric phenotypes; and (3) determine which hybrid morphometic …

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 …

Persistent Tailoring Of Msc Activation Through Genetic Priming, Michael A Beauregard, Guy C Bedford, Daniel A Brenner, Leonardo D Sanchez Solis, Tomoki Nishiguchi, Abhimanyu, Santiago Carrero Longlax, Barun Mahata, Omid Veiseh, Pamela L Wenzel, Andrew R Dinardo, Isaac B Hilton, Michael R Diehl

Faculty, Staff and Student Publications

Mesenchymal stem/stromal cells (MSCs) are an attractive platform for cell therapy due to their safety profile and unique ability to secrete broad arrays of immunomodulatory and regenerative molecules. Yet, MSCs are well known to require preconditioning or priming to boost their therapeutic efficacy. Current priming methods offer limited control over MSC activation, yield transient effects, and often induce the expression of pro-inflammatory effectors that can potentiate immunogenicity. Here, we describe a genetic priming method that can both selectively and sustainably boost MSC potency via the controlled expression of the inflammatory-stimulus-responsive transcription factor interferon response factor 1 (IRF1). MSCs engineered to …