Genetic Structures Commons^™

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

Faculty, Staff and Students Publications

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

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

Faculty, Staff and Students Publications

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

Untargeted Proteomics Enables Ultra-Rapid Variant Prioritisation In Mitochondrial And Other Rare Diseases, Daniella H Hock, Nikeisha J Caruana, Liana N Semcesen, Nicole J Lake, Luke E Formosa, Sumudu S C Amarasekera, Tegan Stait, Simone Tregoning, Leah E Frajman, Adam M Bournazos, David R L Robinson, Megan Ball, Boris Reljic, Bryony Ryder, Mathew J Wallis, Anand Vasudevan, Cara Beck, Heidi Peters, Joy Lee, Natalie B Tan, Mary-Louise Freckmann, Mitomdt Diagnostic Network For Genomics And Omics, Vasiliki Karlaftis, Chantal Attard, Paul Monagle, Amanda Samarasinghe, Rosie Brown, Weimin Bi, Monkol Lek, Robert Mcfarland, Robert W Taylor, Michael T Ryan, Sandra T Cooper, Zornitza Stark, John Christodoulou, Alison G Compton, David R Thorburn, David A Stroud

Faculty, Staff and Students Publications

Background: Only half of individuals with suspected rare diseases receive a genetic diagnosis following genomic testing. A genetic diagnosis allows access to appropriate care, restores reproductive confidence and reduces the number of potentially unnecessary interventions. A major barrier is the lack of disease agnostic functional tests suitable for implementation in routine diagnostics that can provide evidence supporting pathogenicity of novel variants, especially those refractory to RNA sequencing.

Methods: Focusing on mitochondrial disease, we describe an untargeted mass-spectrometry based proteomics pipeline that can quantify proteins encoded by > 50% of Mendelian disease genes and > 80% of known mitochondrial disease genes in clinically …

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

Faculty, Staff and Students Publications

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

Cagi6 Id Panel Challenge: Assessment Of Phenotype And Variant Predictions In 415 Children With Neurodevelopmental Disorders (Ndds), Maria Cristina Aspromonte, Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang, Qi Li, Maggie Haitian Wang, Giulia Babbi, Samuele Bovo, Pier Luigi Martelli, Rita Casadio, Azza Althagafi, Sumyyah Toonsi, Maxat Kulmanov, Robert Hoehndorf, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Su Xian, Wesley Surento, Vikas Pejaver, Sean D Mooney, Uma Sunderam, Rajgopal Srinivasan, Alessandra Murgia, Damiano Piovesan, Silvio C E Tosatto, Emanuela Leonardi

Faculty, Staff and Students Publications

The Genetics of Neurodevelopmental Disorders Lab in Padua provided a new intellectual disability (ID) Panel challenge for computational methods to predict patient phenotypes and their causal variants in the context of the Critical Assessment of the Genome Interpretation, 6th edition (CAGI6). Eight research teams submitted a total of 30 models to predict phenotypes based on the sequences of 74 genes (VCF format) in 415 pediatric patients affected by Neurodevelopmental Disorders (NDDs). NDDs are clinically and genetically heterogeneous conditions, with onset in infant age. Here, we assess the ability and accuracy of computational methods to predict comorbid phenotypes based on clinical …

Predicting The Impact Of Rare Variants On Rna Splicing In Cagi6, Jenny Lord, Carolina Jaramillo Oquendo, Htoo A Wai, Andrew G L Douglas, David J Bunyan, Yaqiong Wang, Zhiqiang Hu, Zishuo Zeng, Daniel Danis, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Yuchen Chang, Richard D Bagnall, Stephen M Mount, Brynja Matthiasardottir, Chiaofeng Lin, Thomas Van Overeem Hansen, Raphael Leman, Alexandra Martins, Claude Houdayer, Sophie Krieger, Constantina Bakolitsa, Yisu Peng, Akash Kamandula, Predrag Radivojac, Diana Baralle

Faculty, Staff and Students Publications

Variants which disrupt splicing are a frequent cause of rare disease that have been under-ascertained clinically. Accurate and efficient methods to predict a variant's impact on splicing are needed to interpret the growing number of variants of unknown significance (VUS) identified by exome and genome sequencing. Here, we present the results of the CAGI6 Splicing VUS challenge, which invited predictions of the splicing impact of 56 variants ascertained clinically and functionally validated to determine splicing impact. The performance of 12 prediction methods, along with SpliceAI and CADD, was compared on the 56 functionally validated variants. The maximum accuracy achieved was …

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

Faculty, Staff and Students Publications

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

Evaluation Of Enzyme Activity Predictions For Variants Of Unknown Significance In Arylsulfatase A, Shantanu Jain, Marena Trinidad, Thanh Binh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R Cedillo, Silvia Berardelli, Buse Özden, Ken Chen, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Sadhna Rana, Swatantra Pradhan, Rajgopal Srinivasan, Rakshanda Sajeed, Dinesh Joshi, Eshel Faraggi, Robert Jernigan, Andrzej Kloczkowski, Jierui Xu, Zigang Song, Selen Özkan, Natàlia Padilla, Xavier De La Cruz, Rocio Acuna-Hidalgo, Andrea Grafmüller, Laura T Jiménez Barrón, Matteo Manfredi, Castrense Savojardo, Giulia Babbi, Pier Luigi Martelli, Rita Casadio, Yuanfei Sun, Shaowen Zhu, Yang Shen, Fabrizio Pucci, Marianne Rooman, Gabriel Cia, Daniele Raimondi, Pauline Hermans, Sofia Kwee, Ella Chen, Courtney Astore, Akash Kamandula, Vikas Pejaver, Rashika Ramola, Michelle Velyunskiy, Daniel Zeiberg, Reet Mishra, Teague Sterling, Jennifer L Goldstein, Jose Lugo-Martinez, Sufyan Kazi, Sindy Li, Kinsey Long, Steven E Brenner, Constantina Bakolitsa, Predrag Radivojac, Dean Suhr, Teryn Suhr, Wyatt T Clark

Faculty, Staff and Students Publications

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfatase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning …

Exome Sequencing In Asian Populations Identifies Low-Frequency And Rare Coding Variation Influencing Parkinson’S Disease Risk, Elaine Gy Chew, Zhehao Liu, Zheng Li, Sun Ju Chung, Michelle M Lian, Moses Tandiono, Yue Jing Heng, Ebonne Y Ng, Louis Cs Tan, Wee Ling Chng, Tiak Ju Tan, Esther Kl Peh, Ying Swan Ho, Xiao Yin Chen, Erin Yt Lim, Chu Hua Chang, Jonavan J Leong, Ting Xuan Peh, Ling Ling Chan, Yinxia Chao, Wing-Lok Au, Kumar M Prakash, Jia Lun Lim, Yi Wen Tay, Vincent Mok, Anne Yy Chan, Juei-Jueng Lin, Beom S Jeon, Kyuyoung Song, Clement C Tham, Chi Pui Pang, Jeeyun Ahn, Kyu Hyung Park, Janey L Wiggs, Tin Aung, Ai Huey Tan, Azlina Ahmad Annuar, Mary B Makarious, Cornelis Blauwendraat, Mike A Nalls, Laurie A Robak, Roy N Alcalay, Ziv Gan-Or, Richard Reynolds, Shen-Yang Lim, Yun Xia, Chiea Chuen Khor, Eng-King Tan, Zhenxun Wang, Jia Nee Foo

Faculty, Staff and Students Publications

Parkinson’s disease (PD) is an incurable, progressive and common movement disorder that is increasing in incidence globally because of population aging. We hypothesized that the landscape of rare, protein-altering variants could provide further insights into disease pathogenesis. Here we performed whole-exome sequencing followed by gene-based tests on 4,298 PD cases and 5,512 controls of Asian ancestry. We showed that GBA1 and SMPD1 were significantly associated with PD risk, with replication in a further 5,585 PD cases and 5,642 controls. We further refined variant classification using in vitro assays and showed that SMPD1 variants with reduced enzymatic activity display the strongest …

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

Faculty, Staff and Students Publications

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

Unveiling Novel Genetic Variants In 370 Challenging Medically Relevant Genes Using The Long Read Sequencing Data Of 41 Samples From 19 Global Populations, Yanfeng Ji, Junfan Zhao, Jiao Gong, Fritz J Sedlazeck, Shaohua Fan

Faculty, Staff and Students Publications

Background: A large number of challenging medically relevant genes (CMRGs) are situated in complex or highly repetitive regions of the human genome, hindering comprehensive characterization of genetic variants using next-generation sequencing technologies. In this study, we employed long-read sequencing technology, extensively utilized in studying complex genomic regions, to characterize genetic alterations, including short variants (single nucleotide variants and short insertions and deletions) and copy number variations, in 370 CMRGs across 41 individuals from 19 global populations.

Results: Our analysis revealed high levels of genetic variants in CMRGs, with 68.73% exhibiting copy number variations and 65.20% containing short variants that may …

A Global Catalog Of Whole-Genome Diversity From 233 Primate Species\, Lukas F K Kuderna, Hong Gao, Mareike C Janiak, Martin Kuhlwilm, Joseph D Orkin, Thomas Bataillon, Shivakumara Manu, Alejandro Valenzuela, Juraj Bergman, Marjolaine Rousselle, Felipe Ennes Silva, Lidia Agueda, Julie Blanc, Marta Gut, Dorien De Vries, Ian Goodhead, R Alan Harris, Muthuswamy Raveendran, Axel Jensen, Idrissa S Chuma, Julie E Horvath, Christina Hvilsom, David Juan, Peter Frandsen, Joshua G Schraiber, Fabiano R De Melo, Fabrício Bertuol, Hazel Byrne, Iracilda Sampaio, Izeni Farias, João Valsecchi, Malu Messias, Maria N F Da Silva, Mihir Trivedi, Rogerio Rossi, Tomas Hrbek, Nicole Andriaholinirina, Clément J Rabarivola, Alphonse Zaramody, Clifford J Jolly, Jane Phillips-Conroy, Gregory Wilkerson, Christian Abee, Joe H Simmons, Eduardo Fernandez-Duque, Sree Kanthaswamy, Fekadu Shiferaw, Dongdong Wu, Long Zhou, Yong Shao, Guojie Zhang, Julius D Keyyu, Sascha Knauf, Minh D Le, Esther Lizano, Stefan Merker, Arcadi Navarro, Tilo Nadler, Chiea Chuen Khor, Jessica Lee, Patrick Tan, Weng Khong Lim, Andrew C Kitchener, Dietmar Zinner, Ivo Gut, Amanda D Melin, Katerina Guschanski, Mikkel Heide Schierup, Robin M D Beck, Govindhaswamy Umapathy, Christian Roos, Jean P Boubli, Jeffrey Rogers, Kyle Kai-How Farh, Tomas Marques Bonet

Faculty, Staff and Students Publications

The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families …

Spectrum Of Ddc Variants Causing Aromatic L-Amino Acid Decarboxylase (Aadc) Deficiency And Pathogenicity Interpretation Using Acmg-Amp/Acgs Recommendations, Nastassja Himmelreich, Riccardo Montioli, Sven F Garbade, Jeffrey Kopesky, Sarah H Elsea, Carla Carducci, Carla B Voltattorni, Nenad Blau

Faculty, Staff and Students Publications

Pathogenic variants in dopa decarboxylase (DDC), the gene encoding the aromatic l-amino acid decarboxylase (AADC) enzyme, lead to a severe deficiency of neurotransmitters, resulting in neurological, neuromuscular, and behavioral manifestations clinically characterized by developmental delays, oculogyric crises, dystonia, and severe neurologic dysfunction in infancy. Historically, therapy has been aimed at compensating for neurotransmitter abnormalities, but response to pharmacologic therapy varies, and in most cases, the therapy shows little or no benefit. A novel human DDC gene therapy was recently approved in the European Union that targets the underlying genetic cause of the disorder, providing a new treatment option for patients …

Exome Analysis Of Rare And Common Variants Within The Nod Signaling Pathway., Gaia Andreoletti, Valentina Shakhnovich, Kathy Christenson, Tracy Coelho, Rachel Haggarty, Nadeem A. Afzal, Akshay Batra, Britt-Sabina Petersen, Matthew Mort, R Mark Beattie, Sarah Ennis

Manuscripts, Articles, Book Chapters and Other Papers

Pediatric inflammatory bowel disease (pIBD) is a chronic heterogeneous disorder. This study looks at the burden of common and rare coding mutations within 41 genes comprising the NOD signaling pathway in pIBD patients. 136 pIBD and 106 control samples underwent whole-exome sequencing. We compared the burden of common, rare and private mutation between these two groups using the SKAT-O test. An independent replication cohort of 33 cases and 111 controls was used to validate significant findings. We observed variation in 40 of 41 genes comprising the NOD signaling pathway. Four genes were significantly associated with disease in the discovery cohort …

Novel Genetic Variants Associated With Child Refractory Esophageal Stricture With Food Allergy By Exome Sequencing., Min Yang, Min Xiong, Huan Chen, Lanlan Geng, Peiyu Chen, Jing Xie, Shui Qing Ye, Ding-You Li, Sitang Gong

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Refractory esophageal stricture (RES) may be attributed to food allergy. Its etiology and pathogenesis are not fully understood. Identification of novel genetic variants associated with this disease by exome sequencing (exome-seq) may provide new mechanistic insights and new therapeutic targets.

METHODS: To identify new and novel disease-associating variants, whole-exome sequencing was performed on an Illumina NGS platform in three children with RES as well as food allergy.

RESULTS: A total of 91,024 variants were identified. By filtering out 'normal variants' against those of the 1000 Genomes Project, we identified 12,741 remaining variants which are potentially associated with RES plus …