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Carballo-Pacoret P, Carracedo A, Rodriguez-Fontenla C. Unraveling the three-dimensional (3D) genome architecture in Neurodevelopmental Disorders (NDDs). Neurogenetics 2024:10.1007/s10048-024-00774-8. [PMID: 39190242 DOI: 10.1007/s10048-024-00774-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/17/2024] [Indexed: 08/28/2024]
Abstract
The human genome, comprising millions of pairs of bases, serves as the blueprint of life, encoding instructions for cellular processes. However, genomes are not merely linear sequences; rather, the complex of DNA and histones, known as chromatin, exhibits complex organization across various levels, which profoundly influence gene expression and cellular function. Central to understanding genome organization is the emerging field of three-dimensional (3D) genome studies. Utilizing advanced techniques such as Hi-C, researchers have unveiled non-random dispositions of genomic elements, highlighting their importance in transcriptional regulation and disease mechanisms. Topologically Associating Domains (TADs), that demarcate regions of chromatin with preferential internal interactions, play crucial roles in gene regulation and are increasingly implicated in various diseases such as cancer and schizophrenia. However, their role in Neurodevelopmental Disorders (NDDs) remains poorly understood. Here, we focus on TADs and 3D conservation across the evolution and between cell types in NDDs. The investigation into genome organization and its impact on disease has led to significant breakthroughs in understanding NDDs etiology such ASD (Autism Spectrum Disorder). By elucidating the wide spectrum of ASD manifestations, researchers aim to uncover the underlying genetic and epigenetic factors contributing to its heterogeneity. Moreover, studies linking TAD disruption to NDDs underscore the importance of spatial genome organization in maintaining proper brain development and function. In summary, this review highlights the intricate interplay between genome organization, transcriptional control, and disease pathology, shedding light on fundamental biological processes and offering insights into the mechanisms underlying NDDs like ASD.
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Affiliation(s)
- P Carballo-Pacoret
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Av Barcelona 31, Santiago de Compostela A Coruña, 15706, Spain
- Grupo de Medicina Xenómica, Facultad de Medicina, Universidad de Santiago de Compostela, San Francisco s/n., Santiago de Compostela, 15782, Spain
| | - A Carracedo
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Av Barcelona 31, Santiago de Compostela A Coruña, 15706, Spain
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Fundación Instituto de Investigación Sanitaria de Santiago de Compostela (FIDIS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Facultad de Medicina, Universidad de Santiago de Compostela, San Francisco s/n., Santiago de Compostela, 15782, Spain
| | - C Rodriguez-Fontenla
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Av Barcelona 31, Santiago de Compostela A Coruña, 15706, Spain.
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Fundación Instituto de Investigación Sanitaria de Santiago de Compostela (FIDIS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain.
- Grupo de Medicina Xenómica, Facultad de Medicina, Universidad de Santiago de Compostela, San Francisco s/n., Santiago de Compostela, 15782, Spain.
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2
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Martin S, Katainen R, Taira A, Välimäki N, Ristimäki A, Seppälä T, Renkonen-Sinisalo L, Lepistö A, Tahkola K, Mattila A, Koskensalo S, Mecklin JP, Rajamäki K, Palin K, Aaltonen LA. Lynch syndrome-associated and sporadic microsatellite unstable colorectal cancers: different patterns of clonal evolution yield highly similar tumours. Hum Mol Genet 2024:ddae124. [PMID: 39180486 DOI: 10.1093/hmg/ddae124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 07/22/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024] Open
Abstract
Microsatellite unstable colorectal cancer (MSI-CRC) can arise through germline mutations in mismatch repair (MMR) genes in individuals with Lynch syndrome (LS), or sporadically through promoter methylation of the MMR gene MLH1. Despite the different origins of hereditary and sporadic MSI tumours, their genomic features have not been extensively compared. A prominent feature of MMR-deficient genomes is the occurrence of many indels in short repeat sequences, an understudied mutation type due to the technical challenges of variant calling in these regions. In this study, we performed whole genome sequencing and RNA-sequencing on 29 sporadic and 14 hereditary MSI-CRCs. We compared the tumour groups by analysing genome-wide mutation densities, microsatellite repeat indels, recurrent protein-coding variants, signatures of single base, doublet base, and indel mutations, and changes in gene expression. We show that the mutational landscapes of hereditary and sporadic MSI-CRCs, including mutational signatures and mutation densities genome-wide and in microsatellites, are highly similar. Only a low number of differentially expressed genes were found, enriched to interferon-γ regulated immune response pathways. Analysis of the variance in allelic fractions of somatic variants in each tumour group revealed higher clonal heterogeneity in sporadic MSI-CRCs. Our results suggest that the differing molecular origins of MMR deficiency in hereditary and sporadic MSI-CRCs do not result in substantial differences in the mutational landscapes of these tumours. The divergent patterns of clonal evolution between the tumour groups may have clinical implications, as high clonal heterogeneity has been associated with decreased tumour immunosurveillance and reduced responsiveness to immunotherapy.
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Affiliation(s)
- Samantha Martin
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Riku Katainen
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Aurora Taira
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Niko Välimäki
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Ari Ristimäki
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Pathology, HUSLAB, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Toni Seppälä
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital and TAYS Cancer Centre, Kuntokatu 2, 33520 Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, 33100 Tampere, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Laura Renkonen-Sinisalo
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
| | - Anna Lepistö
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
| | - Kyösti Tahkola
- Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, 33100 Tampere, Finland
- Department of Surgery, Central Finland Health Care District, Keskussairaalantie 19, 40620 Jyväskylä, Finland
| | - Anne Mattila
- Department of Surgery, Central Finland Health Care District, Keskussairaalantie 19, 40620 Jyväskylä, Finland
| | - Selja Koskensalo
- The HUCH Gastrointestinal Clinic, Helsinki University Central Hospital, Stenbäckinkatu 9A, 00029 Helsinki, Finland
| | - Jukka-Pekka Mecklin
- Department of Education and Research, The Wellbeing Services of Central Finland, Hoitajatie 1, 40620 Jyväskylä, Finland
- Department of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014 Jyväskylä, Finland
| | - Kristiina Rajamäki
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Kimmo Palin
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Lauri A Aaltonen
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
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3
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He H, Leng Y, Cao X, Zhu Y, Li X, Yuan Q, Zhang B, He W, Wei H, Liu X, Xu Q, Guo M, Zhang H, Yang L, Lv Y, Wang X, Shi C, Zhang Z, Chen W, Zhang B, Wang T, Yu X, Qian H, Zhang Q, Dai X, Liu C, Cui Y, Wang Y, Zheng X, Xiong G, Zhou Y, Qian Q, Shang L. The pan-tandem repeat map highlights multiallelic variants underlying gene expression and agronomic traits in rice. Nat Commun 2024; 15:7291. [PMID: 39181885 PMCID: PMC11344853 DOI: 10.1038/s41467-024-51854-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/20/2024] [Indexed: 08/27/2024] Open
Abstract
Tandem repeats (TRs) are genomic regions that tandemly change in repeat number, which are often multiallelic. Their characteristics and contributions to gene expression and quantitative traits in rice are largely unknown. Here, we survey rice TR variations based on 231 genome assemblies and the rice pan-genome graph. We identify 227,391 multiallelic TR loci, including 54,416 TR variations that are absent from the Nipponbare reference genome. Only 1/3 TR variations show strong linkage with nearby bi-allelic variants (SNPs, Indels and PAVs). Using 193 panicle and 202 leaf transcriptomic data, we reveal 485 and 511 TRs act as QTLs independently of other bi-allelic variations to nearby gene expression, respectively. Using plant height and grain width as examples, we identify and validate TRs contributions to rice agronomic trait variations. These findings would enhance our understanding of the functions of multiallelic variants and facilitate rice molecular breeding.
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Affiliation(s)
- Huiying He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yue Leng
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xinglan Cao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China
- Shenzhen Research Institute of Henan university, Shenzhen, 518000, China
| | - Yiwang Zhu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- Institute of Biotechnology, Fujian Academy of Agricultural Sciences/Fujian Provincial Key Laboratory of Genetic Engineering for Agriculture, Fuzhou, 350003, China
| | - Xiaoxia Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Qiaoling Yuan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Bin Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Wenchuang He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Hua Wei
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xiangpei Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Qiang Xu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Mingliang Guo
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Hong Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Longbo Yang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yang Lv
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xianmeng Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Chuanlin Shi
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Zhipeng Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Wu Chen
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Bintao Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Tianyi Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xiaoman Yu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Hongge Qian
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Qianqian Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xiaofan Dai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Congcong Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yan Cui
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yuexing Wang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xiaoming Zheng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Guosheng Xiong
- Academy for Advanced Interdisciplinary Studies, Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yongfeng Zhou
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Qian Qian
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
- Yazhouwan National Laboratory, Sanya, 572024, China.
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China.
| | - Lianguang Shang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
- Yazhouwan National Laboratory, Sanya, 572024, China.
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4
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Loh CA, Shields DA, Schwing A, Evrony GD. High-fidelity, large-scale targeted profiling of microsatellites. Genome Res 2024; 34:1008-1026. [PMID: 39013593 PMCID: PMC11368184 DOI: 10.1101/gr.278785.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 07/11/2024] [Indexed: 07/18/2024]
Abstract
Microsatellites are highly mutable sequences that can serve as markers for relationships among individuals or cells within a population. The accuracy and resolution of reconstructing these relationships depends on the fidelity of microsatellite profiling and the number of microsatellites profiled. However, current methods for targeted profiling of microsatellites incur significant "stutter" artifacts that interfere with accurate genotyping, and sequencing costs preclude whole-genome microsatellite profiling of a large number of samples. We developed a novel method for accurate and cost-effective targeted profiling of a panel of more than 150,000 microsatellites per sample, along with a computational tool for designing large-scale microsatellite panels. Our method addresses the greatest challenge for microsatellite profiling-"stutter" artifacts-with a low-temperature hybridization capture that significantly reduces these artifacts. We also developed a computational tool for accurate genotyping of the resulting microsatellite sequencing data that uses an ensemble approach integrating three microsatellite genotyping tools, which we optimize by analysis of de novo microsatellite mutations in human trios. Altogether, our suite of experimental and computational tools enables high-fidelity, large-scale profiling of microsatellites, which may find utility in diverse applications such as lineage tracing, population genetics, ecology, and forensics.
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Affiliation(s)
- Caitlin A Loh
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Danielle A Shields
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Adam Schwing
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Gilad D Evrony
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA;
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
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5
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Ziaei Jam H, Zook JM, Javadzadeh S, Park J, Sehgal A, Gymrek M. LongTR: genome-wide profiling of genetic variation at tandem repeats from long reads. Genome Biol 2024; 25:176. [PMID: 38965568 PMCID: PMC11229021 DOI: 10.1186/s13059-024-03319-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 06/21/2024] [Indexed: 07/06/2024] Open
Abstract
Tandem repeats are frequent across the human genome, and variation in repeat length has been linked to a variety of traits. Recent improvements in long read sequencing technologies have the potential to greatly improve tandem repeat analysis, especially for long or complex repeats. Here, we introduce LongTR, which accurately genotypes tandem repeats from high-fidelity long reads available from both PacBio and Oxford Nanopore Technologies. LongTR is freely available at https://github.com/gymrek-lab/longtr and https://zenodo.org/doi/10.5281/zenodo.11403979 .
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Affiliation(s)
- Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, USA
| | - Sara Javadzadeh
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Aarushi Sehgal
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
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6
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Tanudisastro HA, Deveson IW, Dashnow H, MacArthur DG. Sequencing and characterizing short tandem repeats in the human genome. Nat Rev Genet 2024; 25:460-475. [PMID: 38366034 DOI: 10.1038/s41576-024-00692-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2023] [Indexed: 02/18/2024]
Abstract
Short tandem repeats (STRs) are highly polymorphic sequences throughout the human genome that are composed of repeated copies of a 1-6-bp motif. Over 1 million variable STR loci are known, some of which regulate gene expression and influence complex traits, such as height. Moreover, variants in at least 60 STR loci cause genetic disorders, including Huntington disease and fragile X syndrome. Accurately identifying and genotyping STR variants is challenging, in particular mapping short reads to repetitive regions and inferring expanded repeat lengths. Recent advances in sequencing technology and computational tools for STR genotyping from sequencing data promise to help overcome this challenge and solve genetically unresolved cases and the 'missing heritability' of polygenic traits. Here, we compare STR genotyping methods, analytical tools and their applications to understand the effect of STR variation on health and disease. We identify emergent opportunities to refine genotyping and quality-control approaches as well as to integrate STRs into variant-calling workflows and large cohort analyses.
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Affiliation(s)
- Hope A Tanudisastro
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Ira W Deveson
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Harriet Dashnow
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA.
| | - Daniel G MacArthur
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
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7
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Rajan-Babu IS, Dolzhenko E, Eberle MA, Friedman JM. Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nat Rev Genet 2024; 25:476-499. [PMID: 38467784 DOI: 10.1038/s41576-024-00696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/13/2024]
Abstract
Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.
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Affiliation(s)
- Indhu-Shree Rajan-Babu
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada.
| | | | | | - Jan M Friedman
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
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8
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Chiu R, Rajan-Babu IS, Friedman JM, Birol I. A comprehensive tandem repeat catalog of the human genome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.19.24309173. [PMID: 38947075 PMCID: PMC11213036 DOI: 10.1101/2024.06.19.24309173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
With the increasing availability of long-read sequencing data, high-quality human genome assemblies, and software for fully characterizing tandem repeats, genome-wide genotyping of tandem repeat loci on a population scale becomes more feasible. Such efforts not only expand our knowledge of the tandem repeat landscape in the human genome but also enhance our ability to differentiate pathogenic tandem repeat mutations from benign polymorphisms. To this end, we analyzed 272 genomes assembled using datasets from three public initiatives that employed different long-read sequencing technologies. Here, we report a catalog of over 18 million tandem repeat loci, many of which were previously unannotated. Some of these loci are highly polymorphic, and many of them reside within coding sequences.
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Affiliation(s)
- Readman Chiu
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - Indhu-Shree Rajan-Babu
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
- BC Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Inanc Birol
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
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9
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Zhang M. STRAS:a snakemake pipeline for genome-wide short tandem repeats annotation and score. Hum Genet 2024; 143:735-738. [PMID: 38507015 DOI: 10.1007/s00439-024-02662-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/13/2024] [Indexed: 03/22/2024]
Abstract
High-throughput whole genome sequencing (WGS) is clinically used in finding single nucleotide variants and small indels. Several bioinformatics tools are developed to call short tandem repeats (STRs) copy numbers from WGS data, such as ExpansionHunter denovo, GangSTR and HipSTR. However, expansion disorders are rare and it is hard to find candidate expansions in single patient sequencing data with ~ 800,000 STRs calls. In this paper I describe a snakemake pipeline for genome-wide STRs Annotation and Score (STRAS) using a Random Forest (RF) model to predict pathogenicity. The predictor was validated by benchmark data from Clinvar and PUBMED. True positive rate was 93.8%. True negative rate was 98.0%.Precision was 98.6% and recall rate was 93.8%. F1-score was 0.961. Sensitivity was 93.8% and specificity was 99.6%. These results showed STRAS could be a useful tool for clinical researchers to find STR loci of interest and filter out neutral STRs. STRAS is freely available at https://github.com/fancheyu5/STRAS .
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Affiliation(s)
- Mengna Zhang
- Molecular Diagnosis Center, The Affiliated Hospital of Chengde Medical University, Chengde, 067000, China.
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10
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Graham JH, Schlachetzki JCM, Yang X, Breuss MW. Genomic Mosaicism of the Brain: Origin, Impact, and Utility. Neurosci Bull 2024; 40:759-776. [PMID: 37898991 PMCID: PMC11178748 DOI: 10.1007/s12264-023-01124-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/16/2023] [Indexed: 10/31/2023] Open
Abstract
Genomic mosaicism describes the phenomenon where some but not all cells within a tissue harbor unique genetic mutations. Traditionally, research focused on the impact of genomic mosaicism on clinical phenotype-motivated by its involvement in cancers and overgrowth syndromes. More recently, we increasingly shifted towards the plethora of neutral mosaic variants that can act as recorders of cellular lineage and environmental exposures. Here, we summarize the current state of the field of genomic mosaicism research with a special emphasis on our current understanding of this phenomenon in brain development and homeostasis. Although the field of genomic mosaicism has a rich history, technological advances in the last decade have changed our approaches and greatly improved our knowledge. We will provide current definitions and an overview of contemporary detection approaches for genomic mosaicism. Finally, we will discuss the impact and utility of genomic mosaicism.
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Affiliation(s)
- Jared H Graham
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA
| | - Johannes C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
| | - Xiaoxu Yang
- Department of Neurosciences, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, 92123, CA, USA
| | - Martin W Breuss
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA.
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11
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Van Deynze K, Mumm C, Maltby CJ, Switzenberg JA, Todd PK, Boyle AP. Enhanced Detection and Genotyping of Disease-Associated Tandem Repeats Using HMMSTR and Targeted Long-Read Sequencing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.01.24306681. [PMID: 38746091 PMCID: PMC11092683 DOI: 10.1101/2024.05.01.24306681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Tandem repeat sequences comprise approximately 8% of the human genome and are linked to more than 50 neurodegenerative disorders. Accurate characterization of disease-associated repeat loci remains resource intensive and often lacks high resolution genotype calls. We introduce a multiplexed, targeted nanopore sequencing panel and HMMSTR, a sequence-based tandem repeat copy number caller. HMMSTR outperforms current signal- and sequence-based callers relative to two assemblies and we show it performs with high accuracy in heterozygous regions and at low read coverage. The flexible panel allows us to capture disease associated regions at an average coverage of >150x. Using these tools, we successfully characterize known or suspected repeat expansions in patient derived samples. In these samples we also identify unexpected expanded alleles at tandem repeat loci not previously associated with the underlying diagnosis. This genotyping approach for tandem repeat expansions is scalable, simple, flexible, and accurate, offering significant potential for diagnostic applications and investigation of expansion co-occurrence in neurodegenerative disorders. Abstract Figure
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12
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Huang Y, Wang M, Liu C, He G. Comprehensive landscape of non-CODIS STRs in global populations provides new insights into challenging DNA profiles. Forensic Sci Int Genet 2024; 70:103010. [PMID: 38271830 DOI: 10.1016/j.fsigen.2024.103010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/13/2024] [Accepted: 01/14/2024] [Indexed: 01/27/2024]
Abstract
The worldwide implementation of short tandem repeats (STR) profiles in forensic genetics necessitated establishing and expanding the CODIS core loci set to facilitated efficient data management and exchange. Currently, the mainstay CODIS STRs are adopted in most general-purpose forensic kits. However, relying solely on these loci failed to yield satisfactory results for challenging tasks, such as bio-geographical ancestry inference, complex DNA mixture profile interpretation, and distant kinship analysis. In this context, non-CODIS STRs are potent supplements to enhance the systematic discriminating power, particularly when combined with the high-throughput next-generation sequencing (NGS) technique. Nevertheless, comprehensive evaluation on non-CODIS STRs in diverse populations was scarce, hindering their further application in routine caseworks. To address this gap, we investigated genetic variations of 178 historically available non-CODIS STRs from ethnolinguistically different worldwide populations and studied their characteristics and forensic potentials via high-coverage whole genome sequencing (WGS) data. Initially, we delineated the genomic properties of these non-CODIS markers through sequence searching, repeat structure scanning, and manual inspection. Subsequent population genetics analysis suggested that these non-CODIS STRs had comparable polymorphism levels and forensic utility to CODIS STRs. Furthermore, we constructed a theoretical next-generation sequencing (NGS) panel comprising 108 STRs (20 CODIS STRs and 88 non-CODIS STRs), and evaluated its performance in inferring bio-geographical ancestry origins, deconvoluting complex DNA mixtures, and differentiating distant kinships using real and simulated datasets. Our findings demonstrated that incorporating supplementary non-CODIS STRs enabled the extrapolation of multidimensional information from a single STR profile, thereby facilitating the analysis of challenging forensic tasks. In conclusion, this study presents an extensive genomic landscape of forensic non-CODIS STRs among global populations, and emphasized the imperative inclusion of additional polymorphic non-CODIS STRs in future NGS-based forensic systems.
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Affiliation(s)
- Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610041, China.
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610041, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China; Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610041, China; Center for Archaeological Science, Sichuan University, Chengdu 610000, China.
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13
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English AC, Dolzhenko E, Ziaei Jam H, McKenzie SK, Olson ND, De Coster W, Park J, Gu B, Wagner J, Eberle MA, Gymrek M, Chaisson MJP, Zook JM, Sedlazeck FJ. Analysis and benchmarking of small and large genomic variants across tandem repeats. Nat Biotechnol 2024:10.1038/s41587-024-02225-z. [PMID: 38671154 DOI: 10.1038/s41587-024-02225-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
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 also present an improved variant comparison method that handles variants greater than 4 bp in length and varying allelic representation. The 8.1% of the genome covered by the TR catalog holds ~24.9% of variants per individual, including 124,728 small and 17,988 large variants for the GIAB HG002 'truth-set' TR benchmark. We demonstrate the utility of this pipeline across short-read and long-read technologies.
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Affiliation(s)
- Adam C English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | | | - Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | | | - Nathan D Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Wouter De Coster
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Bida Gu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Department of Computer Science, Rice University, Houston, TX, USA.
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14
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Cui Y, Ye W, Li JS, Li JJ, Vilain E, Sallam T, Li W. A genome-wide spectrum of tandem repeat expansions in 338,963 humans. Cell 2024; 187:2336-2341.e5. [PMID: 38582080 PMCID: PMC11065452 DOI: 10.1016/j.cell.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/23/2024] [Accepted: 03/05/2024] [Indexed: 04/08/2024]
Abstract
The Genome Aggregation Database (gnomAD), widely recognized as the gold-standard reference map of human genetic variation, has largely overlooked tandem repeat (TR) expansions, despite the fact that TRs constitute ∼6% of our genome and are linked to over 50 human diseases. Here, we introduce the TR-gnomAD (https://wlcb.oit.uci.edu/TRgnomAD), a biobank-scale reference of 0.86 million TRs derived from 338,963 whole-genome sequencing (WGS) samples of diverse ancestries (39.5% non-European samples). TR-gnomAD offers critical insights into ancestry-specific disease prevalence using disparities in TR unit number frequencies among ancestries. Moreover, TR-gnomAD is able to differentiate between common, presumably benign TR expansions, which are prevalent in TR-gnomAD, from those potentially pathogenic TR expansions, which are found more frequently in disease groups than within TR-gnomAD. Together, TR-gnomAD is an invaluable resource for researchers and physicians to interpret TR expansions in individuals with genetic diseases.
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Affiliation(s)
- Ya Cui
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA.
| | - Wenbin Ye
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA
| | - Jason Sheng Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA
| | - Jingyi Jessica Li
- Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California, Irvine, Irvine, CA 92697, USA; Department of Pediatrics, University of California, Irvine, Irvine, CA 92697, USA
| | - Tamer Sallam
- Division of Cardiology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA.
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15
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Oketch JW, Wain LV, Hollox EJ. A comparison of software for analysis of rare and common short tandem repeat (STR) variation using human genome sequences from clinical and population-based samples. PLoS One 2024; 19:e0300545. [PMID: 38558075 PMCID: PMC10984476 DOI: 10.1371/journal.pone.0300545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
Short tandem repeat (STR) variation is an often overlooked source of variation between genomes. STRs comprise about 3% of the human genome and are highly polymorphic. Some cause Mendelian disease, and others affect gene expression. Their contribution to common disease is not well-understood, but recent software tools designed to genotype STRs using short read sequencing data will help address this. Here, we compare software that genotypes common STRs and rarer STR expansions genome-wide, with the aim of applying them to population-scale genomes. By using the Genome-In-A-Bottle (GIAB) consortium and 1000 Genomes Project short-read sequencing data, we compare performance in terms of sequence length, depth, computing resources needed, genotyping accuracy and number of STRs genotyped. To ensure broad applicability of our findings, we also measure genotyping performance against a set of genomes from clinical samples with known STR expansions, and a set of STRs commonly used for forensic identification. We find that HipSTR, ExpansionHunter and GangSTR perform well in genotyping common STRs, including the CODIS 13 core STRs used for forensic analysis. GangSTR and ExpansionHunter outperform HipSTR for genotyping call rate and memory usage. ExpansionHunter denovo (EHdn), STRling and GangSTR outperformed STRetch for detecting expanded STRs, and EHdn and STRling used considerably less processor time compared to GangSTR. Analysis on shared genomic sequence data provided by the GIAB consortium allows future performance comparisons of new software approaches on a common set of data, facilitating comparisons and allowing researchers to choose the best software that fulfils their needs.
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Affiliation(s)
- John W. Oketch
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Louise V. Wain
- Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Edward J. Hollox
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
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16
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Olivucci G, Iovino E, Innella G, Turchetti D, Pippucci T, Magini P. Long read sequencing on its way to the routine diagnostics of genetic diseases. Front Genet 2024; 15:1374860. [PMID: 38510277 PMCID: PMC10951082 DOI: 10.3389/fgene.2024.1374860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing.
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Affiliation(s)
- Giulia Olivucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy
| | - Emanuela Iovino
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giovanni Innella
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniela Turchetti
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Tommaso Pippucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Pamela Magini
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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17
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Verbiest MA, Lundström O, Xia F, Baudis M, Bilgin Sonay T, Anisimova M. Short tandem repeat mutations regulate gene expression in colorectal cancer. Sci Rep 2024; 14:3331. [PMID: 38336885 PMCID: PMC10858039 DOI: 10.1038/s41598-024-53739-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 02/04/2024] [Indexed: 02/12/2024] Open
Abstract
Short tandem repeat (STR) mutations are prevalent in colorectal cancer (CRC), especially in tumours with the microsatellite instability (MSI) phenotype. While STR length variations are known to regulate gene expression under physiological conditions, the functional impact of STR mutations in CRC remains unclear. Here, we integrate STR mutation data with clinical information and gene expression data to study the gene regulatory effects of STR mutations in CRC. We confirm that STR mutability in CRC highly depends on the MSI status, repeat unit size, and repeat length. Furthermore, we present a set of 1244 putative expression STRs (eSTRs) for which the STR length is associated with gene expression levels in CRC tumours. The length of 73 eSTRs is associated with expression levels of cancer-related genes, nine of which are CRC-specific genes. We show that linear models describing eSTR-gene expression relationships allow for predictions of gene expression changes in response to eSTR mutations. Moreover, we found an increased mutability of eSTRs in MSI tumours. Our evidence of gene regulatory roles for eSTRs in CRC highlights a mostly overlooked way through which tumours may modulate their phenotypes. Future extensions of these findings could uncover new STR-based targets in the treatment of cancer.
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Affiliation(s)
- Max A Verbiest
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland.
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Oxana Lundström
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Feifei Xia
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michael Baudis
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Tugce Bilgin Sonay
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Ecology, Evolution and Environmental Biology, Columbia University, New York, USA
| | - Maria Anisimova
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
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18
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Huang Y, Xiao Y, Qu S, Xue J, Zhang L, Wang L, Liang W. Development of a coding SNP panel for tracking the origin of whole-exome sequencing samples. BMC Genomics 2024; 25:142. [PMID: 38317084 PMCID: PMC10840194 DOI: 10.1186/s12864-024-10052-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/25/2024] [Indexed: 02/07/2024] Open
Abstract
Whole-exome sequencing (WES) is widely used to diagnose complex genetic diseases and rare conditions. The implementation of a robust and effective quality control system for sample identification and tracking throughout the WES process is essential. We established a multiplex panel that included 22 coding single-nucleotide polymorphism (cSNP) loci. The personal identification and paternity identification abilities of the panel were evaluated, and a preliminary validation of the practical feasibility of the panel was conducted in a clinical WES case. These results indicate that the cSNP panel could be a useful tool for sample tracking in WES.
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Affiliation(s)
- Yong Huang
- West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, 610041, P.R. China
| | - Yuanyuan Xiao
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
| | - Shengqiu Qu
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
| | - Jiaming Xue
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
| | - Lin Zhang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, 610041, P.R. China
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
| | - Li Wang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, 610041, P.R. China.
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
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19
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Fazal S, Danzi MC, Xu I, Kobren SN, Sunyaev S, Reuter C, Marwaha S, Wheeler M, Dolzhenko E, Lucas F, Wuchty S, Tekin M, Züchner S, Aguiar-Pulido V. RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci. Genome Biol 2024; 25:39. [PMID: 38297326 PMCID: PMC10832122 DOI: 10.1186/s13059-024-03171-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 01/10/2024] [Indexed: 02/02/2024] Open
Abstract
Expansions of tandem repeats (TRs) cause approximately 60 monogenic diseases. We expect that the discovery of additional pathogenic repeat expansions will narrow the diagnostic gap in many diseases. A growing number of TR expansions are being identified, and interpreting them is a challenge. We present RExPRT (Repeat EXpansion Pathogenicity pRediction Tool), a machine learning tool for distinguishing pathogenic from benign TR expansions. Our results demonstrate that an ensemble approach classifies TRs with an average precision of 93% and recall of 83%. RExPRT's high precision will be valuable in large-scale discovery studies, which require prioritization of candidate loci for follow-up studies.
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Affiliation(s)
- Sarah Fazal
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Biomedical Research Building (BRB), Miami, FL, 33136, USA
| | - Matt C Danzi
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Biomedical Research Building (BRB), Miami, FL, 33136, USA
| | - Isaac Xu
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Biomedical Research Building (BRB), Miami, FL, 33136, USA
| | | | - Shamil Sunyaev
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02155, USA
| | - Chloe Reuter
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, 94305, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Shruti Marwaha
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, 94305, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew Wheeler
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, 94305, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Francesca Lucas
- Department of Computer Science, Delft University of Technology, Delft, The Netherlands
| | - Stefan Wuchty
- Department of Computer Science, University of Miami, Miami, FL, USA
- Deptartment of Biology, University of Miami, Miami, FL, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mustafa Tekin
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Biomedical Research Building (BRB), Miami, FL, 33136, USA
| | - Stephan Züchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Biomedical Research Building (BRB), Miami, FL, 33136, USA.
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20
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Lu J, Toro C, Adams DR, Moreno CAM, Lee WP, Leung YY, Harms MB, Vardarajan B, Heinzen EL. LUSTR: a new customizable tool for calling genome-wide germline and somatic short tandem repeat variants. BMC Genomics 2024; 25:115. [PMID: 38279154 PMCID: PMC10811831 DOI: 10.1186/s12864-023-09935-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 12/21/2023] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Short tandem repeats (STRs) are widely distributed across the human genome and are associated with numerous neurological disorders. However, the extent that STRs contribute to disease is likely under-estimated because of the challenges calling these variants in short read next generation sequencing data. Several computational tools have been developed for STR variant calling, but none fully address all of the complexities associated with this variant class. RESULTS Here we introduce LUSTR which is designed to address some of the challenges associated with STR variant calling by enabling more flexibility in defining STR loci, allowing for customizable modules to tailor analyses, and expanding the capability to call somatic and multiallelic STR variants. LUSTR is a user-friendly and easily customizable tool for targeted or unbiased genome-wide STR variant screening that can use either predefined or novel genome builds. Using both simulated and real data sets, we demonstrated that LUSTR accurately infers germline and somatic STR expansions in individuals with and without diseases. CONCLUSIONS LUSTR offers a powerful and user-friendly approach that allows for the identification of STR variants and can facilitate more comprehensive studies evaluating the role of pathogenic STR variants across human diseases.
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Affiliation(s)
- Jinfeng Lu
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- The Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, College of Physicians and Surgeons, Columbia University, The New York Presbyterian Hospital, New York, NY, 10032, USA.
| | - Camilo Toro
- NIH Undiagnosed Diseases Program, National Human Genome Research Institute (NHGRI), National Institutes of Health, Bethesda, MD, 20892, USA
| | - David R Adams
- NIH Undiagnosed Diseases Program, National Human Genome Research Institute (NHGRI), National Institutes of Health, Bethesda, MD, 20892, USA
| | | | - Wan-Ping Lee
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory MedicinePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory MedicinePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mathew B Harms
- Department of Neurology, Division of Neuromuscular Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Badri Vardarajan
- The Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, College of Physicians and Surgeons, Columbia University, The New York Presbyterian Hospital, New York, NY, 10032, USA
| | - Erin L Heinzen
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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21
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Jam HZ, Zook JM, Javadzadeh S, Park J, Sehgal A, Gymrek M. Genome-wide profiling of genetic variation at tandem repeat from long reads. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.20.576266. [PMID: 38328152 PMCID: PMC10849534 DOI: 10.1101/2024.01.20.576266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Tandem repeats are frequent across the human genome, and variation in repeat length has been linked to a variety of traits. Recent improvements in long read sequencing technologies have the potential to greatly improve TR analysis, especially for long or complex repeats. Here we introduce LongTR, which accurately genotypes tandem repeats from high fidelity long reads available from both PacBio and Oxford Nanopore Technologies. LongTR is freely available at https://github.com/gymrek-lab/longtr.
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Affiliation(s)
- Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Justin M. Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA
| | - Sara Javadzadeh
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Aarushi Sehgal
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
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22
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Behera S, Catreux S, Rossi M, Truong S, Huang Z, Ruehle M, Visvanath A, Parnaby G, Roddey C, Onuchic V, Cameron DL, English A, Mehtalia S, Han J, Mehio R, Sedlazeck FJ. Comprehensive and accurate genome analysis at scale using DRAGEN accelerated algorithms. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.02.573821. [PMID: 38260545 PMCID: PMC10802302 DOI: 10.1101/2024.01.02.573821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Research and medical genomics require comprehensive and scalable solutions to drive 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 (e.g., SNV/SV) or location (e.g., repeats). Here we present DRAGEN that utilizes novel methods based on multigenomes, hardware acceleration, and machine learning based variant detection to provide novel insights into individual genomes with ~30min computation time (from raw reads to variant detection). DRAGEN outperforms all other state-of-the-art methods in speed and accuracy across all variant types (SNV, indel, STR, SV, CNV) and further incorporates specialized methods to obtain key insights in medically relevant genes (e.g., HLA, SMN, GBA). We showcase DRAGEN across 3,202 genomes and demonstrate its scalability, accuracy, and innovations to further advance the integration of comprehensive genomics for research and medical applications.
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Affiliation(s)
- Sairam Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | | | | | | | | | | | | | | | | | | | - Adam English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | | | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, TX, USA
- Department of Computer Science, Rice University, TX, USA
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23
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Dolzhenko E, English A, Dashnow H, De Sena Brandine G, Mokveld T, Rowell WJ, Karniski C, Kronenberg Z, Danzi MC, Cheung WA, Bi C, Farrow E, Wenger A, Chua KP, Martínez-Cerdeño V, Bartley TD, Jin P, Nelson DL, Zuchner S, Pastinen T, Quinlan AR, Sedlazeck FJ, Eberle MA. Characterization and visualization of tandem repeats at genome scale. Nat Biotechnol 2024:10.1038/s41587-023-02057-3. [PMID: 38168995 DOI: 10.1038/s41587-023-02057-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 11/06/2023] [Indexed: 01/05/2024]
Abstract
Tandem repeat (TR) variation is associated with gene expression changes and numerous rare monogenic diseases. Although long-read sequencing provides accurate full-length sequences and methylation of TRs, there is still a need for computational methods to profile TRs across the genome. Here we introduce the Tandem Repeat Genotyping Tool (TRGT) and an accompanying TR database. TRGT determines the consensus sequences and methylation levels of specified TRs from PacBio HiFi sequencing data. It also reports reads that support each repeat allele. These reads can be subsequently visualized with a companion TR visualization tool. Assessing 937,122 TRs, TRGT showed a Mendelian concordance of 98.38%, allowing a single repeat unit difference. In six samples with known repeat expansions, TRGT detected all expansions while also identifying methylation signals and mosaicism and providing finer repeat length resolution than existing methods. Additionally, we released a database with allele sequences and methylation levels for 937,122 TRs across 100 genomes.
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Affiliation(s)
| | - Adam English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Harriet Dashnow
- Departments of Human Genetics and Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | | | - Tom Mokveld
- Pacific Biosciences of California, Menlo Park, CA, USA
| | | | | | | | - Matt C Danzi
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Warren A Cheung
- Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Chengpeng Bi
- Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Emily Farrow
- Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Aaron Wenger
- Pacific Biosciences of California, Menlo Park, CA, USA
| | - Khi Pin Chua
- Pacific Biosciences of California, Menlo Park, CA, USA
| | - Verónica Martínez-Cerdeño
- Institute for Pediatric Regenerative Medicine, Shriner's Hospital for Children and UC Davis School of Medicine, Sacramento, CA, USA
- Department of Pathology & Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA, USA
- MIND Institute, UC Davis School of Medicine, Sacramento, CA, USA
| | - Trevor D Bartley
- Institute for Pediatric Regenerative Medicine, Shriner's Hospital for Children and UC Davis School of Medicine, Sacramento, CA, USA
- Department of Pathology & Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA, USA
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - David L Nelson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Stephan Zuchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Tomi Pastinen
- Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Aaron R Quinlan
- Departments of Human Genetics and Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
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24
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Malachowski T, Chandradoss KR, Boya R, Zhou L, Cook AL, Su C, Pham K, Haws SA, Kim JH, Ryu HS, Ge C, Luppino JM, Nguyen SC, Titus KR, Gong W, Wallace O, Joyce EF, Wu H, Rojas LA, Phillips-Cremins JE. Spatially coordinated heterochromatinization of long synaptic genes in fragile X syndrome. Cell 2023; 186:5840-5858.e36. [PMID: 38134876 PMCID: PMC10794044 DOI: 10.1016/j.cell.2023.11.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 07/31/2023] [Accepted: 11/16/2023] [Indexed: 12/24/2023]
Abstract
Short tandem repeat (STR) instability causes transcriptional silencing in several repeat expansion disorders. In fragile X syndrome (FXS), mutation-length expansion of a CGG STR represses FMR1 via local DNA methylation. Here, we find megabase-scale H3K9me3 domains on autosomes and encompassing FMR1 on the X chromosome in FXS patient-derived iPSCs, iPSC-derived neural progenitors, EBV-transformed lymphoblasts, and brain tissue with mutation-length CGG expansion. H3K9me3 domains connect via inter-chromosomal interactions and demarcate severe misfolding of TADs and loops. They harbor long synaptic genes replicating at the end of S phase, replication-stress-induced double-strand breaks, and STRs prone to stepwise somatic instability. CRISPR engineering of the mutation-length CGG to premutation length reverses H3K9me3 on the X chromosome and multiple autosomes, refolds TADs, and restores gene expression. H3K9me3 domains can also arise in normal-length iPSCs created with perturbations linked to genome instability, suggesting their relevance beyond FXS. Our results reveal Mb-scale heterochromatinization and trans interactions among loci susceptible to instability.
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Affiliation(s)
- Thomas Malachowski
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Keerthivasan Raanin Chandradoss
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Boya
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Linda Zhou
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ashley L Cook
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chuanbin Su
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Kenneth Pham
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Spencer A Haws
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ji Hun Kim
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Han-Seul Ryu
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chunmin Ge
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Son C Nguyen
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Katelyn R Titus
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Wanfeng Gong
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Owen Wallace
- Fulcrum Therapeutics Incorporated, Cambridge, MA, USA
| | - Eric F Joyce
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Hao Wu
- Fulcrum Therapeutics Incorporated, Cambridge, MA, USA
| | | | - Jennifer E Phillips-Cremins
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
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25
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Birnbaum R. Rediscovering tandem repeat variation in schizophrenia: challenges and opportunities. Transl Psychiatry 2023; 13:402. [PMID: 38123544 PMCID: PMC10733427 DOI: 10.1038/s41398-023-02689-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Tandem repeats (TRs) are prevalent throughout the genome, constituting at least 3% of the genome, and often highly polymorphic. The high mutation rate of TRs, which can be orders of magnitude higher than single-nucleotide polymorphisms and indels, indicates that they are likely to make significant contributions to phenotypic variation, yet their contribution to schizophrenia has been largely ignored by recent genome-wide association studies (GWAS). Tandem repeat expansions are already known causative factors for over 50 disorders, while common tandem repeat variation is increasingly being identified as significantly associated with complex disease and gene regulation. The current review summarizes key background concepts of tandem repeat variation as pertains to disease risk, elucidating their potential for schizophrenia association. An overview of next-generation sequencing-based methods that may be applied for TR genome-wide identification is provided, and some key methodological challenges in TR analyses are delineated.
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Affiliation(s)
- Rebecca Birnbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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26
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Rajagopal S, Donaldson J, Flower M, Hensman Moss DJ, Tabrizi SJ. Genetic modifiers of repeat expansion disorders. Emerg Top Life Sci 2023; 7:325-337. [PMID: 37861103 PMCID: PMC10754329 DOI: 10.1042/etls20230015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 09/20/2023] [Accepted: 10/09/2023] [Indexed: 10/21/2023]
Abstract
Repeat expansion disorders (REDs) are monogenic diseases caused by a sequence of repetitive DNA expanding above a pathogenic threshold. A common feature of the REDs is a strong genotype-phenotype correlation in which a major determinant of age at onset (AAO) and disease progression is the length of the inherited repeat tract. Over a disease-gene carrier's life, the length of the repeat can expand in somatic cells, through the process of somatic expansion which is hypothesised to drive disease progression. Despite being monogenic, individual REDs are phenotypically variable, and exploring what genetic modifying factors drive this phenotypic variability has illuminated key pathogenic mechanisms that are common to this group of diseases. Disease phenotypes are affected by the cognate gene in which the expansion is found, the location of the repeat sequence in coding or non-coding regions and by the presence of repeat sequence interruptions. Human genetic data, mouse models and in vitro models have implicated the disease-modifying effect of DNA repair pathways via the mechanisms of somatic mutation of the repeat tract. As such, developing an understanding of these pathways in the context of expanded repeats could lead to future disease-modifying therapies for REDs.
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Affiliation(s)
- Sangeerthana Rajagopal
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, U.K
- UK Dementia Research Institute, University College London, London WCC1N 3BG, U.K
| | - Jasmine Donaldson
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, U.K
- UK Dementia Research Institute, University College London, London WCC1N 3BG, U.K
| | - Michael Flower
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, U.K
- UK Dementia Research Institute, University College London, London WCC1N 3BG, U.K
| | - Davina J Hensman Moss
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, U.K
- UK Dementia Research Institute, University College London, London WCC1N 3BG, U.K
- St George's University of London, London SW17 0RE, U.K
| | - Sarah J Tabrizi
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, U.K
- UK Dementia Research Institute, University College London, London WCC1N 3BG, U.K
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27
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Rafehi H, Bennett MF, Bahlo M. Detection and discovery of repeat expansions in ataxia enabled by next-generation sequencing: present and future. Emerg Top Life Sci 2023; 7:349-359. [PMID: 37733280 PMCID: PMC10754322 DOI: 10.1042/etls20230018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/29/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Abstract
Hereditary cerebellar ataxias are a heterogenous group of progressive neurological disorders that are disproportionately caused by repeat expansions (REs) of short tandem repeats (STRs). Genetic diagnosis for RE disorders such as ataxias are difficult as the current gold standard for diagnosis is repeat-primed PCR assays or Southern blots, neither of which are scalable nor readily available for all STR loci. In the last five years, significant advances have been made in our ability to detect STRs and REs in short-read sequencing data, especially whole-genome sequencing. Given the increasing reliance of genomics in diagnosis of rare diseases, the use of established RE detection pipelines for RE disorders is now a highly feasible and practical first-step alternative to molecular testing methods. In addition, many new pathogenic REs have been discovered in recent years by utilising WGS data. Collectively, genomes are an important resource/platform for further advancements in both the discovery and diagnosis of REs that cause ataxia and will lead to much needed improvement in diagnostic rates for patients with hereditary ataxia.
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Affiliation(s)
- Haloom Rafehi
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Mark F Bennett
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
- Epilepsy Research Centre, Department of Medicine, University of Melbourne, Austin Health, Heidelberg, VIC, Australia
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
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28
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Panoyan MA, Wendt FR. The role of tandem repeat expansions in brain disorders. Emerg Top Life Sci 2023; 7:249-263. [PMID: 37401564 DOI: 10.1042/etls20230022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/05/2023] [Accepted: 06/19/2023] [Indexed: 07/05/2023]
Abstract
The human genome contains numerous genetic polymorphisms contributing to different health and disease outcomes. Tandem repeat (TR) loci are highly polymorphic yet under-investigated in large genomic studies, which has prompted research efforts to identify novel variations and gain a deeper understanding of their role in human biology and disease outcomes. We summarize the current understanding of TRs and their implications for human health and disease, including an overview of the challenges encountered when conducting TR analyses and potential solutions to overcome these challenges. By shedding light on these issues, this article aims to contribute to a better understanding of the impact of TRs on the development of new disease treatments.
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Affiliation(s)
- Mary Anne Panoyan
- Department of Anthropology, University of Toronto, Mississauga, ON, Canada
| | - Frank R Wendt
- Department of Anthropology, University of Toronto, Mississauga, ON, Canada
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Forensic Science Program, University of Toronto, Mississauga, ON, Canada
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29
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Chaisson MJP, Sulovari A, Valdmanis PN, Miller DE, Eichler EE. Advances in the discovery and analyses of human tandem repeats. Emerg Top Life Sci 2023; 7:361-381. [PMID: 37905568 PMCID: PMC10806765 DOI: 10.1042/etls20230074] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 11/02/2023]
Abstract
Long-read sequencing platforms provide unparalleled access to the structure and composition of all classes of tandemly repeated DNA from STRs to satellite arrays. This review summarizes our current understanding of their organization within the human genome, their importance with respect to disease, as well as the advances and challenges in understanding their genetic diversity and functional effects. Novel computational methods are being developed to visualize and associate these complex patterns of human variation with disease, expression, and epigenetic differences. We predict accurate characterization of this repeat-rich form of human variation will become increasingly relevant to both basic and clinical human genetics.
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Affiliation(s)
- Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, U.S.A
- The Genomic and Epigenomic Regulation Program, USC Norris Cancer Center, University of Southern California, Los Angeles, CA 90089, U.S.A
| | - Arvis Sulovari
- Computational Biology, Cajal Neuroscience Inc, Seattle, WA 98102, U.S.A
| | - Paul N Valdmanis
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, U.S.A
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, U.S.A
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, U.S.A
| | - Danny E Miller
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, U.S.A
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, U.S.A
- Department of Pediatrics, University of Washington, Seattle, WA 98195, U.S.A
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, U.S.A
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, U.S.A
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30
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Margoliash J, Fuchs S, Li Y, Zhang X, Massarat A, Goren A, Gymrek M. Polymorphic short tandem repeats make widespread contributions to blood and serum traits. CELL GENOMICS 2023; 3:100458. [PMID: 38116119 PMCID: PMC10726533 DOI: 10.1016/j.xgen.2023.100458] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/09/2023] [Accepted: 11/07/2023] [Indexed: 12/21/2023]
Abstract
Short tandem repeats (STRs) are genomic regions consisting of repeated sequences of 1-6 bp in succession. Single-nucleotide polymorphism (SNP)-based genome-wide association studies (GWASs) do not fully capture STR effects. To study these effects, we imputed 445,720 STRs into genotype arrays from 408,153 White British UK Biobank participants and tested for association with 44 blood phenotypes. Using two fine-mapping methods, we identify 119 candidate causal STR-trait associations and estimate that STRs account for 5.2%-7.6% of causal variants identifiable from GWASs for these traits. These are among the strongest associations for multiple phenotypes, including a coding CTG repeat associated with apolipoprotein B levels, a promoter CGG repeat with platelet traits, and an intronic poly(A) repeat with mean platelet volume. Our study suggests that STRs make widespread contributions to complex traits, provides stringently selected candidate causal STRs, and demonstrates the need to consider a more complete view of genetic variation in GWASs.
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Affiliation(s)
- Jonathan Margoliash
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shai Fuchs
- Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Yang Li
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Xuan Zhang
- Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Arya Massarat
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Alon Goren
- Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
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Hannan AJ. Expanding horizons of tandem repeats in biology and medicine: Why 'genomic dark matter' matters. Emerg Top Life Sci 2023; 7:ETLS20230075. [PMID: 38088823 PMCID: PMC10754335 DOI: 10.1042/etls20230075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
Approximately half of the human genome includes repetitive sequences, and these DNA sequences (as well as their transcribed repetitive RNA and translated amino-acid repeat sequences) are known as the repeatome. Within this repeatome there are a couple of million tandem repeats, dispersed throughout the genome. These tandem repeats have been estimated to constitute ∼8% of the entire human genome. These tandem repeats can be located throughout exons, introns and intergenic regions, thus potentially affecting the structure and function of tandemly repetitive DNA, RNA and protein sequences. Over more than three decades, more than 60 monogenic human disorders have been found to be caused by tandem-repeat mutations. These monogenic tandem-repeat disorders include Huntington's disease, a variety of ataxias, amyotrophic lateral sclerosis and frontotemporal dementia, as well as many other neurodegenerative diseases. Furthermore, tandem-repeat disorders can include fragile X syndrome, related fragile X disorders, as well as other neurological and psychiatric disorders. However, these monogenic tandem-repeat disorders, which were discovered via their dominant or recessive modes of inheritance, may represent the 'tip of the iceberg' with respect to tandem-repeat contributions to human disorders. A previous proposal that tandem repeats may contribute to the 'missing heritability' of various common polygenic human disorders has recently been supported by a variety of new evidence. This includes genome-wide studies that associate tandem-repeat mutations with autism, schizophrenia, Parkinson's disease and various types of cancers. In this article, I will discuss how tandem-repeat mutations and polymorphisms could contribute to a wide range of common disorders, along with some of the many major challenges of tandem-repeat biology and medicine. Finally, I will discuss the potential of tandem repeats to be therapeutically targeted, so as to prevent and treat an expanding range of human disorders.
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Affiliation(s)
- Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria 3010, Australia
- Department of Anatomy and Physiology, University of Melbourne, Parkville, Victoria 3010, Australia
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Panoyan MA, Shi Y, Abbatangelo CL, Adler N, Moo-Choy A, Parra EJ, Polimanti R, Hu P, Wendt FR. Exome-wide tandem repeats confer large effects on subcortical volumes in UK Biobank participants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.11.23299818. [PMID: 38168307 PMCID: PMC10760277 DOI: 10.1101/2023.12.11.23299818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The human subcortex is involved in memory and cognition. Structural and functional changes in subcortical regions is implicated in psychiatric conditions. We performed an association study of subcortical volumes using 15,941 tandem repeats (TRs) derived from whole exome sequencing (WES) data in 16,527 unrelated European ancestry participants. We identified 17 loci, most of which were associated with accumbens volume, and nine of which had fine-mapping probability supporting their causal effect on subcortical volume independent of surrounding variation. The most significant association involved NTN1 -[GCGG] N and increased accumbens volume (β=5.93, P=8.16x10 -9 ). Three exonic TRs had large effects on thalamus volume ( LAT2 -[CATC] N β=-949, P=3.84x10 -6 and SLC39A4 -[CAG] N β=-1599, P=2.42x10 -8 ) and pallidum volume ( MCM2 -[AGG] N β=-404.9, P=147x10 -7 ). These genetic effects were consistent measurements of per-repeat expansion/contraction effects on organism fitness. With 3-dimensional modeling, we reinforced these effects to show that the expanded and contracted LAT2 -[CATC] N repeat causes a frameshift mutation that prevents appropriate protein folding. These TRs also exhibited independent effects on several psychiatric symptoms, including LAT2 -[CATC] N and the tiredness/low energy symptom of depression (β=0.340, P=0.003). These findings link genetic variation to tractable biology in the brain and relevant psychiatric symptoms. We also chart one pathway for TR prioritization in future complex trait genetic studies.
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Guo MH, Lee WP, Vardarajan B, Schellenberg GD, Phillips-Cremins J. Polygenic burden of short tandem repeat expansions promote risk for Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.16.23298623. [PMID: 38014121 PMCID: PMC10680900 DOI: 10.1101/2023.11.16.23298623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Studies of the genetics of Alzheimer's disease (AD) have largely focused on single nucleotide variants and short insertions/deletions. However, most of the disease heritability has yet to be uncovered, suggesting that there is substantial genetic risk conferred by other forms of genetic variation. There are over one million short tandem repeats (STRs) in the genome, and their link to AD risk has not been assessed. As pathogenic expansions of STR cause over 30 neurologic diseases, it is important to ascertain whether STRs may also be implicated in AD risk. Here, we genotyped 321,742 polymorphic STR tracts genome-wide using PCR-free whole genome sequencing data from 2,981 individuals (1,489 AD case and 1,492 control individuals). We implemented an approach to identify STR expansions as STRs with tract lengths that are outliers from the population. We then tested for differences in aggregate burden of expansions in case versus control individuals. AD patients had a 1.19-fold increase of STR expansions compared to healthy elderly controls (p=8.27×10-3, two-sided Mann Whitney test). Individuals carrying > 30 STR expansions had 3.62-fold higher odds of having AD and had more severe AD neuropathology. AD STR expansions were highly enriched within active promoters in post-mortem hippocampal brain tissues and particularly within SINE-VNTR-Alu (SVA) retrotransposons. Together, these results demonstrate that expanded STRs within active promoter regions of the genome promote risk of AD.
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Affiliation(s)
- Michael H Guo
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wan-Ping Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Badri Vardarajan
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jennifer Phillips-Cremins
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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English A, Dolzhenko E, Jam HZ, Mckenzie S, Olson ND, De Coster W, Park J, Gu B, Wagner J, Eberle MA, Gymrek M, Chaisson MJP, Zook JM, Sedlazeck FJ. Benchmarking of small and large variants across tandem repeats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.29.564632. [PMID: 37961319 PMCID: PMC10634962 DOI: 10.1101/2023.10.29.564632] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
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, their complexity often excludes them from at-scale studies due to challenges with variant calling, representation, and lack of a genome-wide standard. To promote TR methods development, we create a comprehensive catalog of TR regions and explore its properties across 86 samples. We then curate variants from the GIAB HG002 individual to create a tandem repeat benchmark. We also present a variant comparison method that handles small and large alleles and varying allelic representation. The 8.1% of the genome covered by the TR catalog holds ∼24.9% of variants per individual, including 124,728 small and 17,988 large variants for the GIAB HG002 TR benchmark. We work with the GIAB community to demonstrate the utility of this benchmark across short and long read technologies.
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Ziaei Jam H, Li Y, DeVito R, Mousavi N, Ma N, Lujumba I, Adam Y, Maksimov M, Huang B, Dolzhenko E, Qiu Y, Kakembo FE, Joseph H, Onyido B, Adeyemi J, Bakhtiari M, Park J, Javadzadeh S, Jjingo D, Adebiyi E, Bafna V, Gymrek M. A deep population reference panel of tandem repeat variation. Nat Commun 2023; 14:6711. [PMID: 37872149 PMCID: PMC10593948 DOI: 10.1038/s41467-023-42278-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/05/2023] [Indexed: 10/25/2023] Open
Abstract
Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing from 3550 diverse individuals from the 1000 Genomes Project and H3Africa cohorts. We develop a method, EnsembleTR, to integrate genotypes from four separate methods resulting in high-quality genotypes at more than 1.7 million TR loci. Our catalog reveals novel sequence features influencing TR heterozygosity, identifies population-specific trinucleotide expansions, and finds hundreds of novel eQTL signals. Finally, we generate a phased haplotype panel which can be used to impute most TRs from nearby single nucleotide polymorphisms (SNPs) with high accuracy. Overall, the TR genotypes and reference haplotype panel generated here will serve as valuable resources for future genome-wide and population-wide studies of TRs and their role in human phenotypes.
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Affiliation(s)
- Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Yang Li
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ross DeVito
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Nima Mousavi
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Nichole Ma
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ibra Lujumba
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Yagoub Adam
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Mikhail Maksimov
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Bonnie Huang
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | | | - Yunjiang Qiu
- Illumina Incorporated, San Diego, CA, 92122, USA
| | - Fredrick Elishama Kakembo
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Habi Joseph
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Blessing Onyido
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Jumoke Adeyemi
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Mehrdad Bakhtiari
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Sara Javadzadeh
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Daudi Jjingo
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala, Uganda
- Department of Computer Science, Makerere University, Kampala, Uganda
| | - Ezekiel Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun, 112233, Nigeria
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
- Applied Bioinformatics Division, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, 69120, Germany
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
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36
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Lundström OS, Adriaan Verbiest M, Xia F, Jam HZ, Zlobec I, Anisimova M, Gymrek M. WebSTR: A Population-wide Database of Short Tandem Repeat Variation in Humans. J Mol Biol 2023; 435:168260. [PMID: 37678708 DOI: 10.1016/j.jmb.2023.168260] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/29/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
Short tandem repeats (STRs) are consecutive repetitions of one to six nucleotide motifs. They are hypervariable due to the high prevalence of repeat unit insertions or deletions primarily caused by polymerase slippage during replication. Genetic variation at STRs has been shown to influence a range of traits in humans, including gene expression, cancer risk, and autism. Until recently STRs have been poorly studied since they pose significant challenges to bioinformatics analyses. Moreover, genome-wide analysis of STR variation in population-scale cohorts requires large amounts of data and computational resources. However, the recent advent of genome-wide analysis tools has resulted in multiple large genome-wide datasets of STR variation spanning nearly two million genomic loci in thousands of individuals from diverse populations. Here we present WebSTR, a database of genetic variation and other characteristics of genome-wide STRs across human populations. WebSTR is based on reference panels of more than 1.7 million human STRs created with state of the art repeat annotation methods and can easily be extended to include additional cohorts or species. It currently contains data based on STR genotypes for individuals from the 1000 Genomes Project, H3Africa, the Genotype-Tissue Expression (GTEx) Project and colorectal cancer patients from the TCGA dataset. WebSTR is implemented as a relational database with programmatic access available through an API and a web portal for browsing data. The web portal is publicly available at https://webstr.ucsd.edu.
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Affiliation(s)
- Oxana Sachenkova Lundström
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden; Vildly AB, Kalmar, Sweden; Institute of Computational Life Sciences, School of Life Sciences and Facility Management, Zürich University of Applied Sciences (ZHAW), Waedenswil, Switzerland. https://twitter.com/merenlin
| | - Max Adriaan Verbiest
- Institute of Computational Life Sciences, School of Life Sciences and Facility Management, Zürich University of Applied Sciences (ZHAW), Waedenswil, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Feifei Xia
- Institute of Computational Life Sciences, School of Life Sciences and Facility Management, Zürich University of Applied Sciences (ZHAW), Waedenswil, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland. https://twitter.com/Feifeix97
| | - Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Inti Zlobec
- Institute of Tissue Medicine and Pathology, University of Bern, Switzerland
| | - Maria Anisimova
- Institute of Computational Life Sciences, School of Life Sciences and Facility Management, Zürich University of Applied Sciences (ZHAW), Waedenswil, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA; Department of Medicine, University of California San Diego, La Jolla, CA, USA.
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Liao X, Zhu W, Zhou J, Li H, Xu X, Zhang B, Gao X. Repetitive DNA sequence detection and its role in the human genome. Commun Biol 2023; 6:954. [PMID: 37726397 PMCID: PMC10509279 DOI: 10.1038/s42003-023-05322-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/04/2023] [Indexed: 09/21/2023] Open
Abstract
Repetitive DNA sequences playing critical roles in driving evolution, inducing variation, and regulating gene expression. In this review, we summarized the definition, arrangement, and structural characteristics of repeats. Besides, we introduced diverse biological functions of repeats and reviewed existing methods for automatic repeat detection, classification, and masking. Finally, we analyzed the type, structure, and regulation of repeats in the human genome and their role in the induction of complex diseases. We believe that this review will facilitate a comprehensive understanding of repeats and provide guidance for repeat annotation and in-depth exploration of its association with human diseases.
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Affiliation(s)
- Xingyu Liao
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Wufei Zhu
- Department of Endocrinology, Yichang Central People's Hospital, The First College of Clinical Medical Science, China Three Gorges University, 443000, Yichang, P.R. China
| | - Juexiao Zhou
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Haoyang Li
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Xiaopeng Xu
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Bin Zhang
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Xin Gao
- Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.
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Ichikawa K, Kawahara R, Asano T, Morishita S. A landscape of complex tandem repeats within individual human genomes. Nat Commun 2023; 14:5530. [PMID: 37709751 PMCID: PMC10502081 DOI: 10.1038/s41467-023-41262-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 08/28/2023] [Indexed: 09/16/2023] Open
Abstract
Markedly expanded tandem repeats (TRs) have been correlated with ~60 diseases. TR diversity has been considered a clue toward understanding missing heritability. However, haplotype-resolved long TRs remain mostly hidden or blacked out because their complex structures (TRs composed of various units and minisatellites containing >10-bp units) make them difficult to determine accurately with existing methods. Here, using a high-precision algorithm to determine complex TR structures from long, accurate reads of PacBio HiFi, an investigation of 270 Japanese control samples yields several genome-wide findings. Approximately 322,000 TRs are difficult to impute from the surrounding single-nucleotide variants. Greater genetic divergence of TR loci is significantly correlated with more events of younger replication slippage. Complex TRs are more abundant than single-unit TRs, and a tendency for complex TRs to consist of <10-bp units and single-unit TRs to be minisatellites is statistically significant at loci with ≥500-bp TRs. Of note, 8909 loci with extended TRs (>100b longer than the mode) contain several known disease-associated TRs and are considered candidates for association with disorders. Overall, complex TRs and minisatellites are found to be abundant and diverse, even in genetically small Japanese populations, yielding insights into the landscape of long TRs.
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Affiliation(s)
- Kazuki Ichikawa
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Riki Kawahara
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Takeshi Asano
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Shinichi Morishita
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan.
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Bzikadze AV, Pevzner PA. UniAligner: a parameter-free framework for fast sequence alignment. Nat Methods 2023; 20:1346-1354. [PMID: 37580559 DOI: 10.1038/s41592-023-01970-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 07/05/2023] [Indexed: 08/16/2023]
Abstract
Even though the recent advances in 'complete genomics' revealed the previously inaccessible genomic regions, analysis of variations in centromeres and other extra-long tandem repeats (ETRs) faces an algorithmic challenge since there are currently no tools for accurate sequence comparison of ETRs. Counterintuitively, the classical alignment approaches, such as the Smith-Waterman algorithm, fail to construct biologically adequate alignments of ETRs. We present UniAligner-the parameter-free sequence alignment algorithm with sequence-dependent alignment scoring that automatically changes for any pair of compared sequences. UniAligner prioritizes matches of rare substrings that are more likely to be relevant to the evolutionary relationship between two sequences. We apply UniAligner to estimate the mutation rates in human centromeres, and quantify the extremely high rate of large duplications and deletions in centromeres. This high rate suggests that centromeres may represent some of the most rapidly evolving regions of the human genome with respect to their structural organization.
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Affiliation(s)
- Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA
| | - Pavel A Pevzner
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
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40
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Schuermans N, Verdin H, Ghijsels J, Hellemans M, Debackere E, Bogaert E, Symoens S, Naesens L, Lecomte E, Crosiers D, Bergmans B, Verhoeven K, Poppe B, Laureys G, Herdewyn S, Van Langenhove T, Santens P, De Bleecker JL, Hemelsoet D, Dermaut B. Exome Sequencing and Multigene Panel Testing in 1,411 Patients With Adult-Onset Neurologic Disorders. Neurol Genet 2023; 9:e200071. [PMID: 37152446 PMCID: PMC10160959 DOI: 10.1212/nxg.0000000000200071] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/21/2023] [Indexed: 05/09/2023]
Abstract
Background and Objectives Owing to their extensive clinical and molecular heterogeneity, hereditary neurologic diseases in adults are difficult to diagnose. The current knowledge about the diagnostic yield and clinical utility of exome sequencing (ES) for neurologic diseases in adults is limited. This observational study assesses the diagnostic value of ES and multigene panel analysis in adult-onset neurologic disorders. Methods From January 2019 through April 2022, ES-based multigene panel testing was conducted in 1,411 patients with molecularly unexplained neurologic phenotypes at the Ghent University Hospital. Gene panels were developed for ataxia and spasticity, leukoencephalopathy, movement disorders, paroxysmal episodic disorders, neurodegeneration with brain iron accumulation, progressive myoclonic epilepsy, and amyotrophic lateral sclerosis. Single nucleotide variants, small indels, and copy number variants were analyzed. Across all panels, our analysis covered a total of 725 genes associated with Mendelian inheritance. Results A molecular diagnosis was established in 10% of the cases (144 of 1,411) representing 71 different monogenic disorders. The diagnostic yield depended significantly on the presenting phenotype with the highest yield seen in patients with ataxia or spastic paraparesis (19%). Most of the established diagnoses comprised disorders with an autosomal dominant inheritance (62%), and the most frequently mutated genes were NOTCH3 (13 patients), SPG7 (11 patients), and RFC1 (8 patients). 34% of the disease-causing variants were novel, including a unique likely pathogenic variant in APP (Ghent mutation, p.[Asn698Asp]) in a family presenting with stroke and severe cerebral white matter disease. 7% of the pathogenic variants comprised copy number variants detected in the ES data and confirmed by an independent technique. Discussion ES and multigene panel testing is a powerful and efficient tool to diagnose patients with unexplained, adult-onset neurologic disorders.
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Affiliation(s)
- Nika Schuermans
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Hannah Verdin
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Jody Ghijsels
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Madeleine Hellemans
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Elke Debackere
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Elke Bogaert
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Sofie Symoens
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Leslie Naesens
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Elien Lecomte
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - David Crosiers
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Bruno Bergmans
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Kristof Verhoeven
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Bruce Poppe
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Guy Laureys
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Sarah Herdewyn
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Tim Van Langenhove
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Patrick Santens
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Jan L De Bleecker
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Dimitri Hemelsoet
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
| | - Bart Dermaut
- Center for Medical Genetics (N.S., H.V., J.G., E.D., E.B., S.S., B.P., B.D.), Ghent University Hospital; Department of Biomolecular Medicine (N.S., H.V., J.G., M.H., E.D., E.B., S.S., B.P., B.D.), Faculty of Medicine and Health Sciences, Ghent University; Department of Internal Medicine and Pediatrics (L.N.), Ghent University; Primary Immunodeficiency Research Lab (L.N.), Jeffrey Modell Diagnosis and Research Center, Ghent University Hospital; Department of Neurology (E.L.), O.L.V. Lourdes Hospital, Waregem; Department of Neurology (D.C.), Antwerp University Hospital UZA; Translational Neurosciences (D.C.), Faculty of Medicine and Health Sciences, University of Antwerp; Department of Neurology (B.B., K.V.), AZ Sint-Jan, Bruges; and Department of Neurology (B.B., G.L., S.H., T.V.L., P.S., J.L.D.B., D.H.), Ghent University Hospital, Belgium
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Weisburd B, Tiao G, Rehm HL. Insights from a genome-wide truth set of tandem repeat variation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.05.539588. [PMID: 37214979 PMCID: PMC10197592 DOI: 10.1101/2023.05.05.539588] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Tools for genotyping tandem repeats (TRs) from short read sequencing data have improved significantly over the past decade. Extensive comparisons of these tools to gold standard diagnostic methods like RP-PCR have confirmed their accuracy for tens to hundreds of well-studied loci. However, a scarcity of high-quality orthogonal truth data limited our ability to measure tool accuracy for the millions of other loci throughout the genome. To address this, we developed a TR truth set based on the Synthetic Diploid Benchmark (SynDip). By identifying the subset of insertions and deletions that represent TR expansions or contractions with motifs between 2 and 50 base pairs, we obtained accurate genotypes for 139,795 pure and 6,845 interrupted repeats in a single diploid sample. Our approach did not require running existing genotyping tools on short read or long read sequencing data and provided an alternative, more accurate view of tandem repeat variation. We applied this truth set to compare the strengths and weaknesses of widely-used tools for genotyping TRs, evaluated the completeness of existing genome-wide TR catalogs, and explored the properties of tandem repeat variation throughout the genome. We found that, without filtering, ExpansionHunter had higher accuracy than GangSTR and HipSTR over a wide range of motifs and allele sizes. Also, when errors in allele size occurred, ExpansionHunter tended to overestimate expansion sizes, while GangSTR tended to underestimate them. Additionally, we saw that widely-used TR catalogs miss between 16% and 41% of variant loci in the truth set. These results suggest that genome-wide analyses would benefit from genotyping a larger set of loci as well as further tool development that builds on the strengths of current algorithms. To that end, we developed a new catalog of 2.8 million loci that captures 95% of variant loci in the truth set, and created a modified version of ExpansionHunter that runs 2 to 3x faster than the original while producing the same output.
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Affiliation(s)
- Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Grace Tiao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Heidi L. Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
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Maksimov MO, Wu C, Ashbrook DG, Villani F, Colonna V, Mousavi N, Ma N, Lu L, Pritchard JK, Goren A, Williams RW, Palmer AA, Gymrek M. A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice. Genome Res 2023; 33:689-702. [PMID: 37127331 PMCID: PMC10317118 DOI: 10.1101/gr.277576.122] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 04/26/2023] [Indexed: 05/03/2023]
Abstract
Short tandem repeats (STRs) are a class of rapidly mutating genetic elements typically characterized by repeated units of 1-6 bp. We leveraged whole-genome sequencing data for 152 recombinant inbred (RI) strains from the BXD family of mice to map loci that modulate genome-wide patterns of new mutations arising during parent-to-offspring transmission at STRs. We defined quantitative phenotypes describing the numbers and types of germline STR mutations in each strain and performed quantitative trait locus (QTL) analyses for each of these phenotypes. We identified a locus on Chromosome 13 at which strains inheriting the C57BL/6J (B) haplotype have a higher rate of STR expansions than those inheriting the DBA/2J (D) haplotype. The strongest candidate gene in this locus is Msh3, a known modifier of STR stability in cancer and at pathogenic repeat expansions in mice and humans, as well as a current drug target against Huntington's disease. The D haplotype at this locus harbors a cluster of variants near the 5' end of Msh3, including multiple missense variants near the DNA mismatch recognition domain. In contrast, the B haplotype contains a unique retrotransposon insertion. The rate of expansion covaries positively with Msh3 expression-with higher expression from the B haplotype. Finally, detailed analysis of mutation patterns showed that strains carrying the B allele have higher expansion rates, but slightly lower overall total mutation rates, compared with those with the D allele, particularly at tetranucleotide repeats. Our results suggest an important role for inherited variants in Msh3 in modulating genome-wide patterns of germline mutations at STRs.
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Affiliation(s)
- Mikhail O Maksimov
- Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Cynthia Wu
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California 92093, USA
| | - David G Ashbrook
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Flavia Villani
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Vincenza Colonna
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
- Institute of Genetics and Biophysics, National Research Council, Naples 80111, Italy
| | - Nima Mousavi
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Nichole Ma
- Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
| | - Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Jonathan K Pritchard
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Alon Goren
- Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, California 92093, USA
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Abraham A Palmer
- Institute for Genomic Medicine, University of California San Diego, La Jolla, California 92093, USA
- Department of Psychiatry, Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
| | - Melissa Gymrek
- Department of Medicine, University of California San Diego, La Jolla, California 92093, USA;
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, California 92093, USA
- Department of Biomedical Informatics
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43
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Park J, Kaufman E, Valdmanis PN, Bafna V. TRviz: a Python library for decomposing and visualizing tandem repeat sequences. BIOINFORMATICS ADVANCES 2023; 3:vbad058. [PMID: 37168281 PMCID: PMC10166586 DOI: 10.1093/bioadv/vbad058] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/14/2023] [Accepted: 04/24/2023] [Indexed: 05/13/2023]
Abstract
Summary TRviz is an open-source Python library for decomposing, encoding, aligning and visualizing tandem repeat (TR) sequences. TRviz takes a collection of alleles (TR containing sequences) and one or more motifs as input and generates a plot showing the motif composition of the TR sequences. Availability and implementation TRviz is an open-source Python library and freely available at https://github.com/Jong-hun-Park/trviz. Detailed documentation is available at https://trviz.readthedocs.io. Supplementary information Supplementary data are available at Bioinformatics Advances online.
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Affiliation(s)
- Jonghun Park
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Eli Kaufman
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Paul N Valdmanis
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Vineet Bafna
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
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44
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Olson ND, Wagner J, Dwarshuis N, Miga KH, Sedlazeck FJ, Salit M, Zook JM. Variant calling and benchmarking in an era of complete human genome sequences. Nat Rev Genet 2023:10.1038/s41576-023-00590-0. [PMID: 37059810 DOI: 10.1038/s41576-023-00590-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2023] [Indexed: 04/16/2023]
Abstract
Genetic variant calling from DNA sequencing has enabled understanding of germline variation in hundreds of thousands of humans. Sequencing technologies and variant-calling methods have advanced rapidly, routinely providing reliable variant calls in most of the human genome. We describe how advances in long reads, deep learning, de novo assembly and pangenomes have expanded access to variant calls in increasingly challenging, repetitive genomic regions, including medically relevant regions, and how new benchmark sets and benchmarking methods illuminate their strengths and limitations. Finally, we explore the possible future of more complete characterization of human genome variation in light of the recent completion of a telomere-to-telomere human genome reference assembly and human pangenomes, and we consider the innovations needed to benchmark their newly accessible repetitive regions and complex variants.
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Affiliation(s)
- Nathan D Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nathan Dwarshuis
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Fritz J Sedlazeck
- Baylor College of Medicine, Human Genome Sequencing Center, Houston, TX, USA
| | | | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.
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Shi Y, Niu Y, Zhang P, Luo H, Liu S, Zhang S, Wang J, Li Y, Liu X, Song T, Xu T, He S. Characterization of genome-wide STR variation in 6487 human genomes. Nat Commun 2023; 14:2092. [PMID: 37045857 PMCID: PMC10097659 DOI: 10.1038/s41467-023-37690-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/27/2023] [Indexed: 04/14/2023] Open
Abstract
Short tandem repeats (STRs) are abundant and highly mutagenic in the human genome. Many STR loci have been associated with a range of human genetic disorders. However, most population-scale studies on STR variation in humans have focused on European ancestry cohorts or are limited by sequencing depth. Here, we depicted a comprehensive map of 366,013 polymorphic STRs (pSTRs) constructed from 6487 deeply sequenced genomes, comprising 3983 Chinese samples (~31.5x, NyuWa) and 2504 samples from the 1000 Genomes Project (~33.3x, 1KGP). We found that STR mutations were affected by motif length, chromosome context and epigenetic features. We identified 3273 and 1117 pSTRs whose repeat numbers were associated with gene expression and 3'UTR alternative polyadenylation, respectively. We also implemented population analysis, investigated population differentiated signatures, and genotyped 60 known disease-causing STRs. Overall, this study further extends the scale of STR variation in humans and propels our understanding of the semantics of STRs.
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Affiliation(s)
- Yirong Shi
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yiwei Niu
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peng Zhang
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Huaxia Luo
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Shuai Liu
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Sijia Zhang
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jiajia Wang
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanyan Li
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinyue Liu
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tingrui Song
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China.
| | - Shunmin He
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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46
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Dominguez-Alonso S, Carracedo A, Rodriguez-Fontenla C. The non-coding genome in Autism Spectrum Disorders. Eur J Med Genet 2023; 66:104752. [PMID: 37023975 DOI: 10.1016/j.ejmg.2023.104752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/10/2023] [Accepted: 03/19/2023] [Indexed: 04/08/2023]
Abstract
Autism Spectrum Disorders (ASD) are a group of neurodevelopmental disorders (NDDs) characterized by difficulties in social interaction and communication, repetitive behavior, and restricted interests. While ASD have been proven to have a strong genetic component, current research largely focuses on coding regions of the genome. However, non-coding DNA, which makes up for ∼99% of the human genome, has recently been recognized as an important contributor to the high heritability of ASD, and novel sequencing technologies have been a milestone in opening up new directions for the study of the gene regulatory networks embedded within the non-coding regions. Here, we summarize current progress on the contribution of non-coding alterations to the pathogenesis of ASD and provide an overview of existing methods allowing for the study of their functional relevance, discussing potential ways of unraveling ASD's "missing heritability".
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Affiliation(s)
- S Dominguez-Alonso
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - A Carracedo
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Grupo de Medicina Xenómica, Fundación Instituto de Investigación Sanitaria de Santiago de Compostela (FIDIS), Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - C Rodriguez-Fontenla
- Grupo de Medicina Xenómica, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidad de Santiago de Compostela, Santiago de Compostela, Spain.
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47
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Zajac GJM, Gagliano Taliun SA, Sidore C, Graham SE, Åsvold BO, Brumpton B, Nielsen JB, Zhou W, Gabrielsen M, Skogholt AH, Fritsche LG, Schlessinger D, Cucca F, Hveem K, Willer CJ, Abecasis GR. A fast linkage method for population GWAS cohorts with related individuals. Genet Epidemiol 2023; 47:231-248. [PMID: 36739617 PMCID: PMC10027464 DOI: 10.1002/gepi.22516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/27/2022] [Accepted: 01/24/2023] [Indexed: 02/07/2023]
Abstract
Linkage analysis, a class of methods for detecting co-segregation of genomic segments and traits in families, was used to map disease-causing genes for decades before genotyping arrays and dense SNP genotyping enabled genome-wide association studies in population samples. Population samples often contain related individuals, but the segregation of alleles within families is rarely used because traditional linkage methods are computationally inefficient for larger datasets. Here, we describe Population Linkage, a novel application of Haseman-Elston regression as a method of moments estimator of variance components and their standard errors. We achieve additional computational efficiency by using modern methods for detection of IBD segments and variance component estimation, efficient preprocessing of input data, and minimizing redundant numerical calculations. We also refined variance component models to account for the biases in population-scale methods for IBD segment detection. We ran Population Linkage on four blood lipid traits in over 70,000 individuals from the HUNT and SardiNIA studies, successfully detecting 25 known genetic signals. One notable linkage signal that appeared in both was for low-density lipoprotein (LDL) cholesterol levels in the region near the gene APOE (LOD = 29.3, variance explained = 4.1%). This is the region where the missense variants rs7412 and rs429358, which together make up the ε2, ε3, and ε4 alleles each account for 2.4% and 0.8% of variation in circulating LDL cholesterol. Our results show the potential for linkage analysis and other large-scale applications of method of moments variance components estimation.
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Affiliation(s)
- Gregory JM Zajac
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | - Sarah A Gagliano Taliun
- Department of Medicine and Department of Neurosciences, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Montréal Heart Institute, Montréal, QC H1T 1C8, Canada
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Sarah E Graham
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI
| | - Bjørn Olav Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Jonas B Nielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Maiken Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars G Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | | | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger 7600, Norway
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
- Department of Human Genetics, University of Michigan, Ann Arbor, MI
| | - Gonçalo R Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
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48
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Jam HZ, Li Y, DeVito R, Mousavi N, Ma N, Lujumba I, Adam Y, Maksimov M, Huang B, Dolzhenko E, Qiu Y, Kakembo FE, Joseph H, Onyido B, Adeyemi J, Bakhtiari M, Park J, Javadzadeh S, Jjingo D, Adebiyi E, Bafna V, Gymrek M. A deep population reference panel of tandem repeat variation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.09.531600. [PMID: 36945429 PMCID: PMC10028971 DOI: 10.1101/2023.03.09.531600] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing from 3,550 diverse individuals from the 1000 Genomes Project and H3Africa cohorts. We develop a method, EnsembleTR, to integrate genotypes from four separate methods resulting in high-quality genotypes at more than 1.7 million TR loci. Our catalog reveals novel sequence features influencing TR heterozygosity, identifies population-specific trinucleotide expansions, and finds hundreds of novel eQTL signals. Finally, we generate a phased haplotype panel which can be used to impute most TRs from nearby single nucleotide polymorphisms (SNPs) with high accuracy. Overall, the TR genotypes and reference haplotype panel generated here will serve as valuable resources for future genome-wide and population-wide studies of TRs and their role in human phenotypes.
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Affiliation(s)
- Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Yang Li
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Ross DeVito
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Nima Mousavi
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA
| | - Nichole Ma
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Ibra Lujumba
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala-Uganda
| | - Yagoub Adam
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Mikhail Maksimov
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Bonnie Huang
- Department of Bioengineering, University of California San Diego, La Jolla, CA
| | | | - Yunjiang Qiu
- Illumina Incorporated, San Diego, California 92122, USA
| | - Fredrick Elishama Kakembo
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala-Uganda
| | - Habi Joseph
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala-Uganda
| | - Blessing Onyido
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Jumoke Adeyemi
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
| | - Mehrdad Bakhtiari
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Sara Javadzadeh
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Daudi Jjingo
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, the Infectious Diseases Institute, Makerere University, Kampala-Uganda
- Department of Computer Science, Makerere University, Kampala, Uganda
| | - Ezekiel Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun, 112233, Nigeria
- Department of Computer & Information Sciences, Covenant University, Ota, Ogun, 112233, Nigeria
- Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Covenant University, Ota, Ogun, 112233, Nigeria
- Applied Bioinformatics Division, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, 69120, Germany
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA
- Department of Medicine, University of California San Diego, La Jolla, CA
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49
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Hamanaka K, Yamauchi D, Koshimizu E, Watase K, Mogushi K, Ishikawa K, Mizusawa H, Tsuchida N, Uchiyama Y, Fujita A, Misawa K, Mizuguchi T, Miyatake S, Matsumoto N. Genome-wide identification of tandem repeats associated with splicing variation across 49 tissues in humans. Genome Res 2023; 33:435-447. [PMID: 37307504 PMCID: PMC10078293 DOI: 10.1101/gr.277335.122] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 02/22/2023] [Indexed: 03/29/2023]
Abstract
Tandem repeats (TRs) are one of the largest sources of polymorphism, and their length is associated with gene regulation. Although previous studies reported several tandem repeats regulating gene splicing in cis (spl-TRs), no large-scale study has been conducted. In this study, we established a genome-wide catalog of 9537 spl-TRs with a total of 58,290 significant TR-splicing associations across 49 tissues (false discovery rate 5%) by using Genotype-Tissue expression (GTex) Project data. Regression models explaining splicing variation by using spl-TRs and other flanking variants suggest that at least some of the spl-TRs directly modulate splicing. In our catalog, two spl-TRs are known loci for repeat expansion diseases, spinocerebellar ataxia 6 (SCA6) and 12 (SCA12). Splicing alterations by these spl-TRs were compatible with those observed in SCA6 and SCA12. Thus, our comprehensive spl-TR catalog may help elucidate the pathomechanism of genetic diseases.
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Affiliation(s)
- Kohei Hamanaka
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
| | | | - Eriko Koshimizu
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
| | - Kei Watase
- Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Kaoru Mogushi
- Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan
| | - Kinya Ishikawa
- The Center for Personalized Medicine for Healthy Aging, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 113-8510, Japan
| | - Hidehiro Mizusawa
- Department of Neurology, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8551, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Kanagawa 236-0004, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Kanagawa 236-0004, Japan
| | - Atsushi Fujita
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
| | - Kazuharu Misawa
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
| | - Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
| | - Satoko Miyatake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan
- Clinical Genetics Department, Yokohama City University Hospital, Yokohama, Kanagawa 236-0004, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa 236-0004, Japan;
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50
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VanOudenhove J, Halene S, Mendez L. Is it the time to integrate novel sequencing technologies into clinical practice? Curr Opin Hematol 2023; 30:70-77. [PMID: 36602939 DOI: 10.1097/moh.0000000000000754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
PURPOSE OF REVIEW The aim of this study was to provide insight into how novel next-generation sequencing (NGS) techniques are set to revolutionize clinical practice. RECENT FINDINGS Advances in sequencing technologies have focused on improved capture of mutations and reads and cellular resolution. Both short and long read DNA sequencing technology are being refined and combined in novel ways with other multiomic approaches to gain unprecedented biological insight into disease. Single-cell (sc)DNA-seq and integrated scDNA-seq with immunophenotyping provide granular information on disease composition such as clonal hierarchy, co-mutation status, zygosity, clonal diversity and genotype phenotype correlations. These and other techniques can identify rare cell populations providing the opportunity for increased sensitivity in measurable residual disease monitoring and precise characterization of residual clones permitting distinction of leukemic from pre/nonmalignant clones. SUMMARY Increasing genetics-based mechanistic insights and classification of myeloid diseases along with a decrease in the cost of high-throughput NGS mean novel sequencing technologies are closer to being a reality in standard clinical practice. These technologies are poised to improve diagnostics, our ability to monitor treatment response and minimal residual disease and allow the study of premalignant conditions such as clonal haematopoiesis.
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Affiliation(s)
- Jennifer VanOudenhove
- Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, New Haven, Connecticut, USA
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