1
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Plavskin Y, de Biase MS, Ziv N, Janská L, Zhu YO, Hall DW, Schwarz RF, Tranchina D, Siegal ML. Spontaneous single-nucleotide substitutions and microsatellite mutations have distinct distributions of fitness effects. PLoS Biol 2024; 22:e3002698. [PMID: 38950062 PMCID: PMC11244821 DOI: 10.1371/journal.pbio.3002698] [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: 07/04/2023] [Revised: 07/12/2024] [Accepted: 06/04/2024] [Indexed: 07/03/2024] Open
Abstract
The fitness effects of new mutations determine key properties of evolutionary processes. Beneficial mutations drive evolution, yet selection is also shaped by the frequency of small-effect deleterious mutations, whose combined effect can burden otherwise adaptive lineages and alter evolutionary trajectories and outcomes in clonally evolving organisms such as viruses, microbes, and tumors. The small effect sizes of these important mutations have made accurate measurements of their rates difficult. In microbes, assessing the effect of mutations on growth can be especially instructive, as this complex phenotype is closely linked to fitness in clonally evolving organisms. Here, we perform high-throughput time-lapse microscopy on cells from mutation-accumulation strains to precisely infer the distribution of mutational effects on growth rate in the budding yeast, Saccharomyces cerevisiae. We show that mutational effects on growth rate are overwhelmingly negative, highly skewed towards very small effect sizes, and frequent enough to suggest that deleterious hitchhikers may impose a significant burden on evolving lineages. By using lines that accumulated mutations in either wild-type or slippage repair-defective backgrounds, we further disentangle the effects of 2 common types of mutations, single-nucleotide substitutions and simple sequence repeat indels, and show that they have distinct effects on yeast growth rate. Although the average effect of a simple sequence repeat mutation is very small (approximately 0.3%), many do alter growth rate, implying that this class of frequent mutations has an important evolutionary impact.
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Affiliation(s)
- Yevgeniy Plavskin
- Center for Genomics and Systems Biology, New York University, New York, New York, United States of America
- Department of Biology, New York University, New York, New York, United States of America
| | - Maria Stella de Biase
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Humboldt-Universität zu Berlin, Department of Biology, Berlin, Germany
| | - Naomi Ziv
- Center for Genomics and Systems Biology, New York University, New York, New York, United States of America
- Department of Biology, New York University, New York, New York, United States of America
| | - Libuše Janská
- Center for Genomics and Systems Biology, New York University, New York, New York, United States of America
- Department of Biology, New York University, New York, New York, United States of America
| | - Yuan O. Zhu
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - David W. Hall
- Department of Genetics, University of Georgia, Athens, Georgia, United States of America
| | - Roland F. Schwarz
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Institute for Computational Cancer Biology, Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany
| | - Daniel Tranchina
- Department of Biology, New York University, New York, New York, United States of America
- Courant Math Institute, New York University, New York, New York, United States of America
| | - Mark L. Siegal
- Center for Genomics and Systems Biology, New York University, New York, New York, United States of America
- Department of Biology, New York University, New York, New York, United States of America
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2
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Kim JH, Koh IG, Lee H, Lee GH, Song DY, Kim SW, Kim Y, Han JH, Bong G, Lee J, Byun H, Son JH, Kim YR, Lee Y, Kim JJ, Park JW, Kim IB, Choi JK, Jang JH, Trost B, Lee J, Kim E, Yoo HJ, An JY. Short tandem repeat expansions in cortical layer-specific genes implicate in phenotypic severity and adaptability of autism spectrum disorder. Psychiatry Clin Neurosci 2024; 78:405-415. [PMID: 38751214 DOI: 10.1111/pcn.13676] [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: 10/05/2023] [Revised: 02/14/2024] [Accepted: 04/15/2024] [Indexed: 07/06/2024]
Abstract
AIM Short tandem repeats (STRs) are repetitive DNA sequences and highly mutable in various human disorders. While the involvement of STRs in various genetic disorders has been extensively studied, their role in autism spectrum disorder (ASD) remains largely unexplored. In this study, we aimed to investigate genetic association of STR expansions with ASD using whole genome sequencing (WGS) and identify risk loci associated with ASD phenotypes. METHODS We analyzed WGS data of 634 ASD families and performed genome-wide evaluation for 12,929 STR loci. We found rare STR expansions that exceeded normal repeat lengths in autism cases compared to unaffected controls. By integrating single cell RNA and ATAC sequencing datasets of human postmortem brains, we prioritized STR loci in genes specifically expressed in cortical development stages. A deep learning method was used to predict functionality of ASD-associated STR loci. RESULTS In ASD cases, rare STR expansions predominantly occurred in early cortical layer-specific genes involved in neurodevelopment, highlighting the cellular specificity of STR-associated genes in ASD risk. Leveraging deep learning prediction models, we demonstrated that these STR expansions disrupted the regulatory activity of enhancers and promoters, suggesting a potential mechanism through which they contribute to ASD pathogenesis. We found that individuals with ASD-associated STR expansions exhibited more severe ASD phenotypes and diminished adaptability compared to non-carriers. CONCLUSION Short tandem repeat expansions in cortical layer-specific genes are associated with ASD and could potentially be a risk genetic factor for ASD. Our study is the first to show evidence of STR expansion associated with ASD in an under-investigated population.
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Affiliation(s)
- Jae Hyun Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - In Gyeong Koh
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Hyeji Lee
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Gang-Hee Lee
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Da-Yea Song
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soo-Whee Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Yujin Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Jae Hyun Han
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Guiyoung Bong
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeewon Lee
- Department of Psychiatry, Soonchunhyang University College of Medicine, Asan, Republic of Korea
| | - Heejung Byun
- Department of Neuropsychiatry, Seoul Metropolitan Children's Hospital, Seoul, Republic of Korea
| | - Ji Hyun Son
- Department of Neuropsychiatry, Seoul Metropolitan Children's Hospital, Seoul, Republic of Korea
| | - Ye Rim Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoojeong Lee
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Justine Jaewon Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jung Woo Park
- Center for Biomedical Computing, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Il Bin Kim
- Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Jung Kyoon Choi
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Brett Trost
- Molecular Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Junehawk Lee
- Center for Biomedical Computing, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Eunjoon Kim
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, Republic of Korea
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Hee Jeong Yoo
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea
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3
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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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4
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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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5
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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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6
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Plavskin Y, de Biase MS, Ziv N, Janská L, Zhu YO, Hall DW, Schwarz RF, Tranchina D, Siegal ML. Spontaneous single-nucleotide substitutions and microsatellite mutations have distinct distributions of fitness effects. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.04.547687. [PMID: 37461506 PMCID: PMC10349969 DOI: 10.1101/2023.07.04.547687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
The fitness effects of new mutations determine key properties of evolutionary processes. Beneficial mutations drive evolution, yet selection is also shaped by the frequency of small-effect deleterious mutations, whose combined effect can burden otherwise adaptive lineages and alter evolutionary trajectories and outcomes in clonally evolving organisms such as viruses, microbes, and tumors. The small effect sizes of these important mutations have made accurate measurements of their rates difficult. In microbes, assessing the effect of mutations on growth can be especially instructive, as this complex phenotype is closely linked to fitness in clonally evolving organisms. Here, we perform high-throughput time-lapse microscopy on cells from mutation-accumulation strains to precisely infer the distribution of mutational effects on growth rate in the budding yeast, Saccharomyces cerevisiae. We show that mutational effects on growth rate are overwhelmingly negative, highly skewed towards very small effect sizes, and frequent enough to suggest that deleterious hitchhikers may impose a significant burden on evolving lineages. By using lines that accumulated mutations in either wild-type or slippage repair-defective backgrounds, we further disentangle the effects of two common types of mutations, single-nucleotide substitutions and simple sequence repeat indels, and show that they have distinct effects on yeast growth rate. Although the average effect of a simple sequence repeat mutation is very small (~0.3%), many do alter growth rate, implying that this class of frequent mutations has an important evolutionary impact.
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7
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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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8
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Nautiyal H, Jaiswar A, Jha PK, Dwivedi S. Exploring key genes and pathways associated with sex differences in autism spectrum disorder: integrated bioinformatic analysis. Mamm Genome 2024; 35:280-295. [PMID: 38594551 DOI: 10.1007/s00335-024-10036-5] [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: 12/06/2023] [Accepted: 02/20/2024] [Indexed: 04/11/2024]
Abstract
Autism spectrum disorder (ASD) is a heterogenous neurodevelopmental disorder marked by functional abnormalities in brain that causes social and linguistic difficulties. The incidence of ASD is more prevalent in males compared to females, but the underlying mechanism, as well as molecular indications for identifying sex-specific differences in ASD symptoms remain unknown. Thus, impacting the development of personalized strategy towards pharmacotherapy of ASD. The current study employs an integrated bioinformatic approach to investigate the genes and pathways uniquely associated with sex specific differences in autistic individuals. Based on microarray dataset (GSE6575) extracted from the gene expression omnibus, the dysregulated genes between the autistic and the neurotypical individuals for both sexes were identified. Gene set enrichment analysis was performed to ascertain biological activities linked to the dysregulated genes. Protein-protein interaction network analysis was carried out to identify hub genes. The identified hub genes were examined to determine their functions and involvement in the associated pathways using Enrichr. Additionally, hub genes were validated from autism-associated databases and the potential small molecules targeting the hub genes were identified. The present study utilized whole blood transcriptomic gene expression analysis data and identified 2211 and 958 differentially expressed unique genes in males and females respectively. The functional enrichment analysis revealed that male hub genes were functionally associated with RNA polymerase II mediated transcriptional regulation whereas female hub genes were involved in intracellular signal transduction and cell migration. The top male hub genes exhibited functional enrichment in tyrosine kinase signalling pathway. The pathway enrichment analysis of male hub genes indicates the enrichment of papillomavirus infection. Female hub genes were enriched in androgen receptor signalling pathway and functionally enriched in focal adhesion specific excision repair. Identified drug like candidates targeting these genes may serve as a potential sex specific therapeutics. Wortmannin for males, 5-Fluorouracil for females had the highest scores. Targeted and sex-specific pharmacotherapies may be created for the management of ASD. The current investigation identifies sex-specific molecular signatures derived from whole blood which may serve as a potential peripheral sex-specific biomarkers for ASD. The study also uncovers the possible pharmacological interventions against the selected genes/pathway, providing support in development of therapeutic strategies to mitigate ASD. However, experimental proofs on biological systems are warranted.
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Affiliation(s)
- Himani Nautiyal
- Department of Pharmaceutical Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248001, India
| | - Akanksha Jaiswar
- Laboratory of Human Disease Multiomics, Mossakowski Medical Research Institute Polish Academy of Sciences, Warsaw, Poland
| | - Prabhash Kumar Jha
- Center for Excellence in Vascular Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shubham Dwivedi
- Department of Pharmaceutical Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248001, India.
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9
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Nóbrega IDS, Teles e Silva AL, Yokota-Moreno BY, Sertié AL. The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism. Int J Mol Sci 2024; 25:5816. [PMID: 38892002 PMCID: PMC11172008 DOI: 10.3390/ijms25115816] [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: 04/17/2024] [Revised: 05/17/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Autism spectrum disorder (ASD) is a common and highly heritable neurodevelopmental disorder. During the last 15 years, advances in genomic technologies and the availability of increasingly large patient cohorts have greatly expanded our knowledge of the genetic architecture of ASD and its neurobiological mechanisms. Over two hundred risk regions and genes carrying rare de novo and transmitted high-impact variants have been identified. Additionally, common variants with small individual effect size are also important, and a number of loci are now being uncovered. At the same time, these new insights have highlighted ongoing challenges. In this perspective article, we summarize developments in ASD genetic research and address the enormous impact of large-scale genomic initiatives on ASD gene discovery.
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Affiliation(s)
| | | | | | - Andréa Laurato Sertié
- Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, Rua Comendador Elias Jafet, 755. Morumbi, São Paulo 05653-000, Brazil; (I.d.S.N.); (A.L.T.e.S.); (B.Y.Y.-M.)
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10
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Yoon JG, Lee S, Cho J, Kim N, Kim S, Kim MJ, Kim SY, Moon J, Chae JH. Diagnostic uplift through the implementation of short tandem repeat analysis using exome sequencing. Eur J Hum Genet 2024; 32:584-587. [PMID: 38308084 PMCID: PMC11061289 DOI: 10.1038/s41431-024-01542-w] [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: 09/14/2023] [Revised: 11/22/2023] [Accepted: 01/10/2024] [Indexed: 02/04/2024] Open
Abstract
To date, approximately 50 short tandem repeat (STR) disorders have been identified; yet, clinical laboratories rarely conduct STR analysis on exomes. To assess its diagnostic value, we analyzed STRs in 6099 exomes from 2510 families with mostly suspected neurogenetic disorders. We employed ExpansionHunter and REViewer to detect pathogenic repeat expansions, confirming them using orthogonal methods. Genotype-phenotype correlations led to the diagnosis of thirteen individuals in seven previously undiagnosed families, identifying three autosomal dominant disorders: dentatorubral-pallidoluysian atrophy (n = 3), spinocerebellar ataxia type 7 (n = 2), and myotonic dystrophy type 1 (n = 2), resulting in a diagnostic gain of 0.28% (7/2510). Additionally, we found expanded ATXN1 alleles (≥39 repeats) with varying patterns of CAT interruptions in twelve individuals, accounting for approximately 0.19% in the Korean population. Our study underscores the importance of integrating STR analysis into exome sequencing pipeline, broadening the application of exome sequencing for STR assessments.
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Affiliation(s)
- Jihoon G Yoon
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seungbok Lee
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Jaeso Cho
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Narae Kim
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sheehyun Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Man Jin Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soo Yeon Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Jangsup Moon
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea.
| | - Jong-Hee Chae
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea.
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11
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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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12
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Fehlings DL, Zarrei M, Engchuan W, Sondheimer N, Thiruvahindrapuram B, MacDonald JR, Higginbotham EJ, Thapa R, Behlim T, Aimola S, Switzer L, Ng P, Wei J, Danthi PS, Pellecchia G, Lamoureux S, Ho K, Pereira SL, de Rijke J, Sung WWL, Mowjoodi A, Howe JL, Nalpathamkalam T, Manshaei R, Ghaffari S, Whitney J, Patel RV, Hamdan O, Shaath R, Trost B, Knights S, Samdup D, McCormick A, Hunt C, Kirton A, Kawamura A, Mesterman R, Gorter JW, Dlamini N, Merico D, Hilali M, Hirschfeld K, Grover K, Bautista NX, Han K, Marshall CR, Yuen RKC, Subbarao P, Azad MB, Turvey SE, Mandhane P, Moraes TJ, Simons E, Maxwell G, Shevell M, Costain G, Michaud JL, Hamdan FF, Gauthier J, Uguen K, Stavropoulos DJ, Wintle RF, Oskoui M, Scherer SW. Comprehensive whole-genome sequence analyses provide insights into the genomic architecture of cerebral palsy. Nat Genet 2024; 56:585-594. [PMID: 38553553 DOI: 10.1038/s41588-024-01686-x] [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: 12/23/2022] [Accepted: 02/13/2024] [Indexed: 04/17/2024]
Abstract
We performed whole-genome sequencing (WGS) in 327 children with cerebral palsy (CP) and their biological parents. We classified 37 of 327 (11.3%) children as having pathogenic/likely pathogenic (P/LP) variants and 58 of 327 (17.7%) as having variants of uncertain significance. Multiple classes of P/LP variants included single-nucleotide variants (SNVs)/indels (6.7%), copy number variations (3.4%) and mitochondrial mutations (1.5%). The COL4A1 gene had the most P/LP SNVs. We also analyzed two pediatric control cohorts (n = 203 trios and n = 89 sib-pair families) to provide a baseline for de novo mutation rates and genetic burden analyses, the latter of which demonstrated associations between de novo deleterious variants and genes related to the nervous system. An enrichment analysis revealed previously undescribed plausible candidate CP genes (SMOC1, KDM5B, BCL11A and CYP51A1). A multifactorial CP risk profile and substantial presence of P/LP variants combine to support WGS in the diagnostic work-up across all CP and related phenotypes.
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Affiliation(s)
- Darcy L Fehlings
- Division of Developmental Paediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Mehdi Zarrei
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Worrawat Engchuan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Neal Sondheimer
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | | | - Jeffrey R MacDonald
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Edward J Higginbotham
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ritesh Thapa
- Division of Developmental Paediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Tarannum Behlim
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
| | - Sabrina Aimola
- Division of Developmental Paediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Lauren Switzer
- Division of Developmental Paediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Pamela Ng
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
| | - John Wei
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Prakroothi S Danthi
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Giovanna Pellecchia
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sylvia Lamoureux
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Karen Ho
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sergio L Pereira
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jill de Rijke
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Wilson W L Sung
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Alireza Mowjoodi
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jennifer L Howe
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Thomas Nalpathamkalam
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Roozbeh Manshaei
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Siavash Ghaffari
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Joseph Whitney
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Rohan V Patel
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Omar Hamdan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Rulan Shaath
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Brett Trost
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Shannon Knights
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Grandview Children's Centre, Oshawa, Ontario, Canada
| | - Dawa Samdup
- Department of Pediatrics, Queen's University, Kingston, Ontario, Canada
| | - Anna McCormick
- Children's Hospital of Eastern Ontario and University of Ottawa, Ottawa, Ontario, Canada
| | - Carolyn Hunt
- Grandview Children's Centre, Oshawa, Ontario, Canada
| | - Adam Kirton
- Department of Pediatrics, Department of Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Anne Kawamura
- Division of Developmental Paediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ronit Mesterman
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Jan Willem Gorter
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Nomazulu Dlamini
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Neurosciences and Mental Health Program, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Daniele Merico
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Deep Genomics Inc., Toronto, Ontario, Canada
- Vevo Therapeutics Inc., San Francisco, CA, USA
| | - Murto Hilali
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kyle Hirschfeld
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kritika Grover
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nelson X Bautista
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kara Han
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Christian R Marshall
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ryan K C Yuen
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Padmaja Subbarao
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Stuart E Turvey
- Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Piush Mandhane
- Faculty of Medicine & Dentistry, Pediatrics Department, University of Alberta, Edmonton, Alberta, Canada
| | - Theo J Moraes
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Program in Translation Medicine & Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elinor Simons
- Department of Pediatrics and Child Health, Section of Allergy and Clinical Immunology, University of Manitoba, Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - George Maxwell
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Falls Church, VA, USA
| | - Michael Shevell
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
- Departments of Pediatrics and Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
| | - Gregory Costain
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jacques L Michaud
- Departments of Pediatrics and Neurosciences, Université de Montréal, Montréal, Québec, Canada
- CHU Sainte-Justine Azrieli Research Center, Montréal, Québec, Canada
| | - Fadi F Hamdan
- CHU Sainte-Justine Azrieli Research Center, Montréal, Québec, Canada
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
| | - Julie Gauthier
- CHU Sainte-Justine Azrieli Research Center, Montréal, Québec, Canada
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
| | - Kevin Uguen
- CHU Sainte-Justine Azrieli Research Center, Montréal, Québec, Canada
| | - Dimitri J Stavropoulos
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Richard F Wintle
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Maryam Oskoui
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
- Departments of Pediatrics and Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.
- Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario, Canada.
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13
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Xiong J, He Z, Wang L, Fan C, Chao J. DNA Origami-Enabled Gene Localization of Repetitive Sequences. J Am Chem Soc 2024; 146:6317-6325. [PMID: 38391280 DOI: 10.1021/jacs.4c00039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Repetitive sequences, which make up over 50% of human DNA, have diverse applications in disease diagnosis, forensic identification, paternity testing, and population genetic analysis due to their crucial functions for gene regulation. However, representative detection technologies such as sequencing and fluorescence imaging suffer from time-consuming protocols, high cost, and inaccuracy of the position and order of repetitive sequences. Here, we develop a precise and cost-effective strategy that combines the high resolution of atomic force microscopy with the shape customizability of DNA origami for repetitive sequence-specific gene localization. "Tri-block" DNA structures were specifically designed to connect repetitive sequences to DNA origami tags, thereby revealing precise genetic information in terms of position and sequence for high-resolution and high-precision visualization of repetitive sequences. More importantly, we achieved the results of simultaneous detection of different DNA repetitive sequences on the gene template with a resolution of ∼6.5 nm (19 nt). This strategy is characterized by high efficiency, high precision, low operational complexity, and low labor/time costs, providing a powerful complement to sequencing technologies for gene localization of repetitive sequences.
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Affiliation(s)
- Jinxin Xiong
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhimei He
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Lianhui Wang
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Jie Chao
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
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14
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Mitina A, Khan M, Lesurf R, Yin Y, Engchuan W, Hamdan O, Pellecchia G, Trost B, Backstrom I, Guo K, Pallotto LM, Lam Doong PH, Wang Z, Nalpathamkalam T, Thiruvahindrapuram B, Papaz T, Pearson CE, Ragoussis J, Subbarao P, Azad MB, Turvey SE, Mandhane P, Moraes TJ, Simons E, Scherer SW, Lougheed J, Mondal T, Smythe J, Altamirano-Diaz L, Oechslin E, Mital S, Yuen RKC. Genome-wide enhancer-associated tandem repeats are expanded in cardiomyopathy. EBioMedicine 2024; 101:105027. [PMID: 38418263 PMCID: PMC10944212 DOI: 10.1016/j.ebiom.2024.105027] [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: 09/29/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Cardiomyopathy is a clinically and genetically heterogeneous heart condition that can lead to heart failure and sudden cardiac death in childhood. While it has a strong genetic basis, the genetic aetiology for over 50% of cardiomyopathy cases remains unknown. METHODS In this study, we analyse the characteristics of tandem repeats from genome sequence data of unrelated individuals diagnosed with cardiomyopathy from Canada and the United Kingdom (n = 1216) and compare them to those found in the general population. We perform burden analysis to identify genomic and epigenomic features that are impacted by rare tandem repeat expansions (TREs), and enrichment analysis to identify functional pathways that are involved in the TRE-associated genes in cardiomyopathy. We use Oxford Nanopore targeted long-read sequencing to validate repeat size and methylation status of one of the most recurrent TREs. We also compare the TRE-associated genes to those that are dysregulated in the heart tissues of individuals with cardiomyopathy. FINDINGS We demonstrate that tandem repeats that are rarely expanded in the general population are predominantly expanded in cardiomyopathy. We find that rare TREs are disproportionately present in constrained genes near transcriptional start sites, have high GC content, and frequently overlap active enhancer H3K27ac marks, where expansion-related DNA methylation may reduce gene expression. We demonstrate the gene silencing effect of expanded CGG tandem repeats in DIP2B through promoter hypermethylation. We show that the enhancer-associated loci are found in genes that are highly expressed in human cardiomyocytes and are differentially expressed in the left ventricle of the heart in individuals with cardiomyopathy. INTERPRETATION Our findings highlight the underrecognized contribution of rare tandem repeat expansions to the risk of cardiomyopathy and suggest that rare TREs contribute to ∼4% of cardiomyopathy risk. FUNDING Government of Ontario (RKCY), The Canadian Institutes of Health Research PJT 175329 (RKCY), The Azrieli Foundation (RKCY), SickKids Catalyst Scholar in Genetics (RKCY), The University of Toronto McLaughlin Centre (RKCY, SM), Ted Rogers Centre for Heart Research (SM), Data Sciences Institute at the University of Toronto (SM), The Canadian Institutes of Health Research PJT 175034 (SM), The Canadian Institutes of Health Research ENP 161429 under the frame of ERA PerMed (SM, RL), Heart and Stroke Foundation of Ontario & Robert M Freedom Chair in Cardiovascular Science (SM), Bitove Family Professorship of Adult Congenital Heart Disease (EO), Canada Foundation for Innovation (SWS, JR), Canada Research Chair (PS), Genome Canada (PS, JR), The Canadian Institutes of Health Research (PS).
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Affiliation(s)
- Aleksandra Mitina
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Mahreen Khan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada
| | - Robert Lesurf
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Yue Yin
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Worrawat Engchuan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Omar Hamdan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Giovanna Pellecchia
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Brett Trost
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Ian Backstrom
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Keyi Guo
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Linda M Pallotto
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Phoenix Hoi Lam Doong
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Zhuozhi Wang
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Thomas Nalpathamkalam
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Bhooma Thiruvahindrapuram
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Tanya Papaz
- Ted Rogers Centre for Heart Research; Toronto, Ontario, Canada; Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto; Toronto, Ontario, Canada
| | - Christopher E Pearson
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada
| | - Jiannis Ragoussis
- McGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, Quebec, Canada
| | - Padmaja Subbarao
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada; Program in Translation Medicine & Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Stuart E Turvey
- Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Piushkumar Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Theo J Moraes
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Program in Translation Medicine & Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elinor Simons
- Department of Pediatrics and Child Health, Section of Allergy and Clinical Immunology, University of Manitoba, Winnipeg, Manitoba, Canada; Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Stephen W Scherer
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jane Lougheed
- Division of Cardiology, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Tapas Mondal
- Division of Cardiology, Department of Pediatrics, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - John Smythe
- Division of Cardiology, Department of Pediatrics, Kingston General Hospital, Kingston, Ontario, Canada
| | - Luis Altamirano-Diaz
- Division of Cardiology, Department of Pediatrics, London Health Sciences Centre, London, Ontario, Canada
| | - Erwin Oechslin
- Division of Cardiology, Toronto Adult Congenital Heart Disease Program at Peter Munk Cardiac Centre, Department of Medicine, University Health Network, and University of Toronto, Toronto, Ontario, Canada
| | - Seema Mital
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Ted Rogers Centre for Heart Research; Toronto, Ontario, Canada; Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto; Toronto, Ontario, Canada.
| | - Ryan K C Yuen
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada.
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15
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Fazzari V, Moo-Choy A, Panoyan MA, Abbatangelo CL, Polimanti R, Novroski NM, Wendt FR. Multi-ancestry tandem repeat association study of hair colour using exome-wide sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.24.581865. [PMID: 38464141 PMCID: PMC10925195 DOI: 10.1101/2024.02.24.581865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Hair colour variation is influenced by hundreds of positions across the human genome but this genetic contribution has only been narrowly explored. Genome-wide association studies identified single nucleotide polymorphisms (SNPs) influencing hair colour but the biology underlying these associations is challenging to interpret. We report 16 tandem repeats (TRs) with effects on different models of hair colour plus two TRs associated with hair colour in diverse ancestry groups. Several of these TRs expand or contract amino acid coding regions of their localized protein such that structure, and by extension function, may be altered. We also demonstrate that independent of SNP variation, these TRs can be used to great an additive polygenic score that predicts darker hair colour. This work adds to the growing body of evidence regarding TR influence on human traits with relatively large and independent effects relative to surrounding SNP variation.
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16
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Hannan AJ. Repeating themes of plastic genes and therapeutic schemes targeting the 'tandem repeatome'. Brain Commun 2024; 6:fcae047. [PMID: 38449715 PMCID: PMC10917440 DOI: 10.1093/braincomms/fcae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 01/24/2024] [Accepted: 02/17/2024] [Indexed: 03/08/2024] Open
Abstract
This scientific commentary refers to 'Modification of Huntington's disease by short tandem repeats' by Hong et al. (https://doi.org/10.1093/braincomms/fcae016) in Brain Communications.
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Affiliation(s)
- Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
- Department of Anatomy and Physiology, University of Melbourne, Parkville, Australia
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17
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Sun J, Noss S, Banerjee D, Das M, Girirajan S. Strategies for dissecting the complexity of neurodevelopmental disorders. Trends Genet 2024; 40:187-202. [PMID: 37949722 PMCID: PMC10872993 DOI: 10.1016/j.tig.2023.10.009] [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: 05/27/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
Neurodevelopmental disorders (NDDs) are associated with a wide range of clinical features, affecting multiple pathways involved in brain development and function. Recent advances in high-throughput sequencing have unveiled numerous genetic variants associated with NDDs, which further contribute to disease complexity and make it challenging to infer disease causation and underlying mechanisms. Herein, we review current strategies for dissecting the complexity of NDDs using model organisms, induced pluripotent stem cells, single-cell sequencing technologies, and massively parallel reporter assays. We further highlight single-cell CRISPR-based screening techniques that allow genomic investigation of cellular transcriptomes with high efficiency, accuracy, and throughput. Overall, we provide an integrated review of experimental approaches that can be applicable for investigating a broad range of complex disorders.
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Affiliation(s)
- Jiawan Sun
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Serena Noss
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Deepro Banerjee
- Bioinformatics and Genomics Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Maitreya Das
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Santhosh Girirajan
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA; Bioinformatics and Genomics Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Anthropology, Pennsylvania State University, University Park, PA 16802, USA.
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18
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Hong EP, Ramos EM, Aziz NA, Massey TH, McAllister B, Lobanov S, Jones L, Holmans P, Kwak S, Orth M, Ciosi M, Lomeikaite V, Monckton DG, Long JD, Lucente D, Wheeler VC, Gillis T, MacDonald ME, Sequeiros J, Gusella JF, Lee JM. Modification of Huntington's disease by short tandem repeats. Brain Commun 2024; 6:fcae016. [PMID: 38449714 PMCID: PMC10917446 DOI: 10.1093/braincomms/fcae016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/20/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024] Open
Abstract
Expansions of glutamine-coding CAG trinucleotide repeats cause a number of neurodegenerative diseases, including Huntington's disease and several of spinocerebellar ataxias. In general, age-at-onset of the polyglutamine diseases is inversely correlated with the size of the respective inherited expanded CAG repeat. Expanded CAG repeats are also somatically unstable in certain tissues, and age-at-onset of Huntington's disease corrected for individual HTT CAG repeat length (i.e. residual age-at-onset), is modified by repeat instability-related DNA maintenance/repair genes as demonstrated by recent genome-wide association studies. Modification of one polyglutamine disease (e.g. Huntington's disease) by the repeat length of another (e.g. ATXN3, CAG expansions in which cause spinocerebellar ataxia 3) has also been hypothesized. Consequently, we determined whether age-at-onset in Huntington's disease is modified by the CAG repeats of other polyglutamine disease genes. We found that the CAG measured repeat sizes of other polyglutamine disease genes that were polymorphic in Huntington's disease participants but did not influence Huntington's disease age-at-onset. Additional analysis focusing specifically on ATXN3 in a larger sample set (n = 1388) confirmed the lack of association between Huntington's disease residual age-at-onset and ATXN3 CAG repeat length. Additionally, neither our Huntington's disease onset modifier genome-wide association studies single nucleotide polymorphism data nor imputed short tandem repeat data supported the involvement of other polyglutamine disease genes in modifying Huntington's disease. By contrast, our genome-wide association studies based on imputed short tandem repeats revealed significant modification signals for other genomic regions. Together, our short tandem repeat genome-wide association studies show that modification of Huntington's disease is associated with short tandem repeats that do not involve other polyglutamine disease-causing genes, refining the landscape of Huntington's disease modification and highlighting the importance of rigorous data analysis, especially in genetic studies testing candidate modifiers.
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Affiliation(s)
- Eun Pyo Hong
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Eliana Marisa Ramos
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - N Ahmad Aziz
- Population & Clinical Neuroepidemiology, German Center for Neurodegenerative Diseases, 53127 Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn D-53113, Germany
| | - Thomas H Massey
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Branduff McAllister
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Sergey Lobanov
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Lesley Jones
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Peter Holmans
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Seung Kwak
- Molecular System Biology, CHDI Foundation, Princeton, NJ 08540, USA
| | - Michael Orth
- University Hospital of Old Age Psychiatry and Psychotherapy, Bern University, CH-3000 Bern 60, Switzerland
| | - Marc Ciosi
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Vilija Lomeikaite
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Darren G Monckton
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine and Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Diane Lucente
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Vanessa C Wheeler
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Tammy Gillis
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Jorge Sequeiros
- UnIGENe, IBMC—Institute for Molecular and Cell Biology, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 420-135, Portugal
- ICBAS School of Medicine and Biomedical Sciences, University of Porto, Porto 420-135, Portugal
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
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19
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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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20
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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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21
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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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22
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Mehmetbeyoglu E, Duman A, Taheri S, Ozkul Y, Rassoulzadegan M. From Data to Insights: Machine Learning Empowers Prognostic Biomarker Prediction in Autism. J Pers Med 2023; 13:1713. [PMID: 38138941 PMCID: PMC10744627 DOI: 10.3390/jpm13121713] [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: 11/10/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Autism Spectrum Disorder (ASD) poses significant challenges to society and science due to its impact on communication, social interaction, and repetitive behavior patterns in affected children. The Autism and Developmental Disabilities Monitoring (ADDM) Network continuously monitors ASD prevalence and characteristics. In 2020, ASD prevalence was estimated at 1 in 36 children, with higher rates than previous estimates. This study focuses on ongoing ASD research conducted by Erciyes University. Serum samples from 45 ASD patients and 21 unrelated control participants were analyzed to assess the expression of 372 microRNAs (miRNAs). Six miRNAs (miR-19a-3p, miR-361-5p, miR-3613-3p, miR-150-5p, miR-126-3p, and miR-499a-5p) exhibited significant downregulation in all ASD patients compared to healthy controls. The current study endeavors to identify dependable diagnostic biomarkers for ASD, addressing the pressing need for non-invasive, accurate, and cost-effective diagnostic tools, as current methods are subjective and time-intensive. A pivotal discovery in this study is the potential diagnostic value of miR-126-3p, offering the promise of earlier and more accurate ASD diagnoses, potentially leading to improved intervention outcomes. Leveraging machine learning, such as the K-nearest neighbors (KNN) model, presents a promising avenue for precise ASD diagnosis using miRNA biomarkers.
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Affiliation(s)
- Ecmel Mehmetbeyoglu
- Department of Cancer and Genetics, Cardiff University, Cardiff CF14 4XN, UK
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38280, Turkey; (S.T.); (Y.O.); (M.R.)
| | - Abdulkerim Duman
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;
| | - Serpil Taheri
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38280, Turkey; (S.T.); (Y.O.); (M.R.)
- Department of Medical Biology, Erciyes University, Kayseri 38280, Turkey
| | - Yusuf Ozkul
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38280, Turkey; (S.T.); (Y.O.); (M.R.)
- Department of Medical Genetics, Erciyes University, Kayseri 38280, Turkey
| | - Minoo Rassoulzadegan
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38280, Turkey; (S.T.); (Y.O.); (M.R.)
- Inserm-CNRS, Université Côte d’Azur, 06107 Nice, France
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23
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Annear DJ, Kooy RF. Unravelling the link between neurodevelopmental disorders and short tandem CGG-repeat expansions. Emerg Top Life Sci 2023; 7:265-275. [PMID: 37768318 PMCID: PMC10754333 DOI: 10.1042/etls20230021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/23/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023]
Abstract
Neurodevelopmental disorders (NDDs) encompass a diverse group of disorders characterised by impaired cognitive abilities and developmental challenges. Short tandem repeats (STRs), repetitive DNA sequences found throughout the human genome, have emerged as potential contributors to NDDs. Specifically, the CGG trinucleotide repeat has been implicated in a wide range of NDDs, including Fragile X Syndrome (FXS), the most common inherited form of intellectual disability and autism. This review focuses on CGG STR expansions associated with NDDs and their impact on gene expression through repeat expansion-mediated epigenetic silencing. We explore the molecular mechanisms underlying CGG-repeat expansion and the resulting epigenetic modifications, such as DNA hypermethylation and gene silencing. Additionally, we discuss the involvement of other CGG STRs in neurodevelopmental diseases. Several examples, including FMR1, AFF2, AFF3, XYLT1, FRA10AC1, CBL, and DIP2B, highlight the complex relationship between CGG STR expansions and NDDs. Furthermore, recent advancements in this field are highlighted, shedding light on potential future research directions. Understanding the role of STRs, particularly CGG-repeats, in NDDs has the potential to uncover novel diagnostic and therapeutic strategies for these challenging disorders.
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Affiliation(s)
- Dale J Annear
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - R Frank Kooy
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
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24
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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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25
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Read JL, Davies KC, Thompson GC, Delatycki MB, Lockhart PJ. Challenges facing repeat expansion identification, characterisation, and the pathway to discovery. Emerg Top Life Sci 2023; 7:339-348. [PMID: 37888797 PMCID: PMC10754332 DOI: 10.1042/etls20230019] [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: 07/31/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023]
Abstract
Tandem repeat DNA sequences constitute a significant proportion of the human genome. While previously considered to be functionally inert, these sequences are now broadly accepted as important contributors to genetic diversity. However, the polymorphic nature of these sequences can lead to expansion beyond a gene-specific threshold, causing disease. More than 50 pathogenic repeat expansions have been identified to date, many of which have been discovered in the last decade as a result of advances in sequencing technologies and associated bioinformatic tools. Commonly utilised diagnostic platforms including Sanger sequencing, capillary array electrophoresis, and Southern blot are generally low throughput and are often unable to accurately determine repeat size, composition, and epigenetic signature, which are important when characterising repeat expansions. The rapid advances in bioinformatic tools designed specifically to interrogate short-read sequencing and the development of long-read single molecule sequencing is enabling a new generation of high throughput testing for repeat expansion disorders. In this review, we discuss some of the challenges surrounding the identification and characterisation of disease-causing repeat expansions and the technological advances that are poised to translate the promise of genomic medicine to individuals and families affected by these disorders.
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Affiliation(s)
- Justin L Read
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Kayli C Davies
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Genevieve C Thompson
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Martin B Delatycki
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Parkville, Victoria, Australia
| | - Paul J Lockhart
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
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26
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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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27
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Jadhav B, Garg P, van Vugt JJFA, Ibanez K, Gagliardi D, Lee W, Shadrina M, Mokveld T, Dolzhenko E, Martin-Trujillo A, Gies SL, Rocca C, Barbosa M, Jain M, Lahiri N, Lachlan K, Houlden H, Paten B, Veldink J, Tucci A, Sharp AJ. A phenome-wide association study of methylated GC-rich repeats identifies a GCC repeat expansion in AFF3 as a significant cause of intellectual disability. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.03.23289461. [PMID: 37205357 PMCID: PMC10187445 DOI: 10.1101/2023.05.03.23289461] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
GC-rich tandem repeat expansions (TREs) are often associated with DNA methylation, gene silencing and folate-sensitive fragile sites and underlie several congenital and late-onset disorders. Through a combination of DNA methylation profiling and tandem repeat genotyping, we identified 24 methylated TREs and investigated their effects on human traits using PheWAS in 168,641 individuals from the UK Biobank, identifying 156 significant TRE:trait associations involving 17 different TREs. Of these, a GCC expansion in the promoter of AFF3 was linked with a 2.4-fold reduced probability of completing secondary education, an effect size comparable to several recurrent pathogenic microdeletions. In a cohort of 6,371 probands with neurodevelopmental problems of suspected genetic etiology, we observed a significant enrichment of AFF3 expansions compared to controls. With a population prevalence that is at least 5-fold higher than the TRE that causes fragile X syndrome, AFF3 expansions represent a significant cause of neurodevelopmental delay.
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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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Abdi M, Aliyev E, Trost B, Kohailan M, Aamer W, Syed N, Shaath R, Gandhi GD, Engchuan W, Howe J, Thiruvahindrapuram B, Geng M, Whitney J, Syed A, Lakshmi J, Hussein S, Albashir N, Hussein A, Poggiolini I, Elhag SF, Palaniswamy S, Kambouris M, de Fatima Janjua M, Tahir MOE, Nazeer A, Shahwar D, Azeem MW, Mokrab Y, Aati NA, Akil A, Scherer SW, Kamal M, Fakhro KA. Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study. Genome Med 2023; 15:81. [PMID: 37805537 PMCID: PMC10560429 DOI: 10.1186/s13073-023-01228-w] [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: 03/02/2023] [Accepted: 09/04/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social and communication skills, restricted interests, and repetitive behaviors. The prevalence of ASD among children in Qatar was recently estimated to be 1.1%, though the genetic architecture underlying ASD both in Qatar and the greater Middle East has been largely unexplored. Here, we describe the first genomic data release from the BARAKA-Qatar Study-a nationwide program building a broadly consented biorepository of individuals with ASD and their families available for sample and data sharing and multi-omics research. METHODS In this first release, we present a comprehensive analysis of whole-genome sequencing (WGS) data of the first 100 families (372 individuals), investigating the genetic architecture, including single-nucleotide variants (SNVs), copy number variants (CNVs), tandem repeat expansions (TREs), as well as mitochondrial DNA variants (mtDNA) segregating with ASD in local families. RESULTS Overall, we identify potentially pathogenic variants in known genes or regions in 27 out of 100 families (27%), of which 11 variants (40.7%) were classified as pathogenic or likely-pathogenic based on American College of Medical Genetics (ACMG) guidelines. Dominant variants, including de novo and inherited, contributed to 15 (55.6%) of these families, consisting of SNVs/indels (66.7%), CNVs (13.3%), TREs (13.3%), and mtDNA variants (6.7%). Moreover, homozygous variants were found in 7 families (25.9%), with a sixfold increase in homozygous burden in consanguineous versus non-consanguineous families (13.6% and 1.8%, respectively). Furthermore, 28 novel ASD candidate genes were identified in 20 families, 23 of which had recurrent hits in MSSNG and SSC cohorts. CONCLUSIONS This study illustrates the value of ASD studies in under-represented populations and the importance of WGS as a comprehensive tool for establishing a molecular diagnosis for families with ASD. Moreover, it uncovers a significant role for recessive variation in ASD architecture in consanguineous settings and provides a unique resource of Middle Eastern genomes for future research to the global ASD community.
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Affiliation(s)
- Mona Abdi
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | - Elbay Aliyev
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | - Brett Trost
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Waleed Aamer
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | - Najeeb Syed
- Genomics Data Science Core, Sidra Medicine, Doha, Qatar
| | - Rulan Shaath
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | | | - Worrawat Engchuan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jennifer Howe
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Bhooma Thiruvahindrapuram
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Melissa Geng
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Joe Whitney
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Amira Syed
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | | | - Sura Hussein
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | | | - Amal Hussein
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | | | - Saba F Elhag
- Department of Genetics, Sidra Medicine, Doha, Qatar
- Hamad Medical Corporation, Doha, Qatar
| | | | - Marios Kambouris
- Pathology and Laboratory Medicine Department, Genetics Division, Sidra Medicine, Doha, Qatar
| | | | | | - Ahsan Nazeer
- Department of Psychiatry, Sidra Medicine, Doha, Qatar
- Weill Cornell Medicine, Doha, Qatar
| | - Durre Shahwar
- Department of Psychiatry, Sidra Medicine, Doha, Qatar
- Weill Cornell Medicine, Doha, Qatar
| | - Muhammad Waqar Azeem
- Department of Psychiatry, Sidra Medicine, Doha, Qatar
- Weill Cornell Medicine, Doha, Qatar
| | - Younes Mokrab
- Department of Genetics, Sidra Medicine, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
- Qatar University, Doha, Qatar
| | | | - Ammira Akil
- Department of Genetics, Sidra Medicine, Doha, Qatar
| | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- McLaughlin Centre, University of Toronto, Toronto, ON, Canada
| | - Madeeha Kamal
- Department of Pediatrics, Sidra Medicine, Doha, Qatar
| | - Khalid A Fakhro
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
- Department of Genetics, Sidra Medicine, Doha, Qatar.
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar.
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30
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Vorstman JAS, Scherer SW. Contemplating syndromic autism. Genet Med 2023; 25:100919. [PMID: 37330697 DOI: 10.1016/j.gim.2023.100919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 06/19/2023] Open
Affiliation(s)
- Jacob A S Vorstman
- Department of Psychiatry, Hospital for Sick Children University of Toronto, Toronto, ON, Canada; Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON, Canada.
| | - Stephen W Scherer
- Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON, Canada; McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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Horton CA, Alexandari AM, Hayes MGB, Marklund E, Schaepe JM, Aditham AK, Shah N, Suzuki PH, Shrikumar A, Afek A, Greenleaf WJ, Gordân R, Zeitlinger J, Kundaje A, Fordyce PM. Short tandem repeats bind transcription factors to tune eukaryotic gene expression. Science 2023; 381:eadd1250. [PMID: 37733848 DOI: 10.1126/science.add1250] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/26/2023] [Indexed: 09/23/2023]
Abstract
Short tandem repeats (STRs) are enriched in eukaryotic cis-regulatory elements and alter gene expression, yet how they regulate transcription remains unknown. We found that STRs modulate transcription factor (TF)-DNA affinities and apparent on-rates by about 70-fold by directly binding TF DNA-binding domains, with energetic impacts exceeding many consensus motif mutations. STRs maximize the number of weakly preferred microstates near target sites, thereby increasing TF density, with impacts well predicted by statistical mechanics. Confirming that STRs also affect TF binding in cells, neural networks trained only on in vivo occupancies predicted effects identical to those observed in vitro. Approximately 90% of TFs preferentially bound STRs that need not resemble known motifs, providing a cis-regulatory mechanism to target TFs to genomic sites.
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Affiliation(s)
- Connor A Horton
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Amr M Alexandari
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Michael G B Hayes
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Emil Marklund
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Julia M Schaepe
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Arjun K Aditham
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- ChEM-H Institute, Stanford University, Stanford, CA 94305, USA
| | - Nilay Shah
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Peter H Suzuki
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Avanti Shrikumar
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Ariel Afek
- Center for Genomic and Computational Biology, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | | | - Raluca Gordân
- Center for Genomic and Computational Biology, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Computer Science, Duke University, Durham, NC 27708, USA
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Julia Zeitlinger
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
- The University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Polly M Fordyce
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- ChEM-H Institute, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94110, USA
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32
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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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33
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Lowther C, Valkanas E, Giordano JL, Wang HZ, Currall BB, O'Keefe K, Pierce-Hoffman E, Kurtas NE, Whelan CW, Hao SP, Weisburd B, Jalili V, Fu J, Wong I, Collins RL, Zhao X, Austin-Tse CA, Evangelista E, Lemire G, Aggarwal VS, Lucente D, Gauthier LD, Tolonen C, Sahakian N, Stevens C, An JY, Dong S, Norton ME, MacKenzie TC, Devlin B, Gilmore K, Powell BC, Brandt A, Vetrini F, DiVito M, Sanders SJ, MacArthur DG, Hodge JC, O'Donnell-Luria A, Rehm HL, Vora NL, Levy B, Brand H, Wapner RJ, Talkowski ME. Systematic evaluation of genome sequencing for the diagnostic assessment of autism spectrum disorder and fetal structural anomalies. Am J Hum Genet 2023; 110:1454-1469. [PMID: 37595579 PMCID: PMC10502737 DOI: 10.1016/j.ajhg.2023.07.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/20/2023] Open
Abstract
Short-read genome sequencing (GS) holds the promise of becoming the primary diagnostic approach for the assessment of autism spectrum disorder (ASD) and fetal structural anomalies (FSAs). However, few studies have comprehensively evaluated its performance against current standard-of-care diagnostic tests: karyotype, chromosomal microarray (CMA), and exome sequencing (ES). To assess the clinical utility of GS, we compared its diagnostic yield against these three tests in 1,612 quartet families including an individual with ASD and in 295 prenatal families. Our GS analytic framework identified a diagnostic variant in 7.8% of ASD probands, almost 2-fold more than CMA (4.3%) and 3-fold more than ES (2.7%). However, when we systematically captured copy-number variants (CNVs) from the exome data, the diagnostic yield of ES (7.4%) was brought much closer to, but did not surpass, GS. Similarly, we estimated that GS could achieve an overall diagnostic yield of 46.1% in unselected FSAs, representing a 17.2% increased yield over karyotype, 14.1% over CMA, and 4.1% over ES with CNV calling or 36.1% increase without CNV discovery. Overall, GS provided an added diagnostic yield of 0.4% and 0.8% beyond the combination of all three standard-of-care tests in ASD and FSAs, respectively. This corresponded to nine GS unique diagnostic variants, including sequence variants in exons not captured by ES, structural variants (SVs) inaccessible to existing standard-of-care tests, and SVs where the resolution of GS changed variant classification. Overall, this large-scale evaluation demonstrated that GS significantly outperforms each individual standard-of-care test while also outperforming the combination of all three tests, thus warranting consideration as the first-tier diagnostic approach for the assessment of ASD and FSAs.
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Affiliation(s)
- Chelsea Lowther
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Elise Valkanas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jessica L Giordano
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Harold Z Wang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin B Currall
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Kathryn O'Keefe
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Emma Pierce-Hoffman
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nehir E Kurtas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christopher W Whelan
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie P Hao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ben Weisburd
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vahid Jalili
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jack Fu
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Isaac Wong
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Xuefang Zhao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christina A Austin-Tse
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Emily Evangelista
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gabrielle Lemire
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vimla S Aggarwal
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Diane Lucente
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nareh Sahakian
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christine Stevens
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joon-Yong An
- School of Biosystem and Biomedical Science, Korea University, Seoul, South Korea
| | - Shan Dong
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mary E Norton
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Tippi C MacKenzie
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelly Gilmore
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bradford C Powell
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alicia Brandt
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Francesco Vetrini
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle DiVito
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Stephan J Sanders
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel G MacArthur
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Centre for Population Genomics, Garvan Institute of Medical Research, and University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Jennelle C Hodge
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Anne O'Donnell-Luria
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Heidi L Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Neeta L Vora
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brynn Levy
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Ronald J Wapner
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Michael E Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
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Sznajder L, Khan M, Tadross M, Ciesiołka A, Nutter C, Taylor K, Pearson C, Sobczak K, Lewis M, Swanson M, Yuen R. Autistic traits in myotonic dystrophy type 1 due to MBNL inhibition and RNA mis-splicing. RESEARCH SQUARE 2023:rs.3.rs-3221704. [PMID: 37645891 PMCID: PMC10462192 DOI: 10.21203/rs.3.rs-3221704/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Tandem repeat expansions are enriched in autism spectrum disorder, including CTG expansion in the DMPK gene that underlines myotonic muscular dystrophy type 1. Although the clinical connection of autism to myotonic dystrophy is corroborated, the molecular links remained unknown. Here, we show a mechanistic path of autism via repeat expansion in myotonic dystrophy. We found that inhibition of muscleblind-like (MBNL) splicing factors by expanded CUG RNAs alerts the splicing of autism-risk genes during brain development especially a class of autism-relevant microexons. To provide in vivo evidence that the CTG expansion and MBNL inhibition axis leads to the presentation of autistic traits, we demonstrate that CTG expansion and MBNL-null mouse models recapitulate autism-relevant mis-splicing profiles and demonstrate social deficits. Our findings indicate that DMPK CTG expansion-associated autism arises from developmental mis-splicing. Understanding this pathomechanistic connection provides an opportunity for greater in-depth investigations of mechanistic threads in autism.
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Fujino Y, Ueyama M, Ishiguro T, Ozawa D, Ito H, Sugiki T, Murata A, Ishiguro A, Gendron T, Mori K, Tokuda E, Taminato T, Konno T, Koyama A, Kawabe Y, Takeuchi T, Furukawa Y, Fujiwara T, Ikeda M, Mizuno T, Mochizuki H, Mizusawa H, Wada K, Ishikawa K, Onodera O, Nakatani K, Petrucelli L, Taguchi H, Nagai Y. FUS regulates RAN translation through modulating the G-quadruplex structure of GGGGCC repeat RNA in C9orf72-linked ALS/FTD. eLife 2023; 12:RP84338. [PMID: 37461319 PMCID: PMC10393046 DOI: 10.7554/elife.84338] [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] [Indexed: 07/20/2023] Open
Abstract
Abnormal expansions of GGGGCC repeat sequence in the noncoding region of the C9orf72 gene is the most common cause of familial amyotrophic lateral sclerosis and frontotemporal dementia (C9-ALS/FTD). The expanded repeat sequence is translated into dipeptide repeat proteins (DPRs) by noncanonical repeat-associated non-AUG (RAN) translation. Since DPRs play central roles in the pathogenesis of C9-ALS/FTD, we here investigate the regulatory mechanisms of RAN translation, focusing on the effects of RNA-binding proteins (RBPs) targeting GGGGCC repeat RNAs. Using C9-ALS/FTD model flies, we demonstrated that the ALS/FTD-linked RBP FUS suppresses RAN translation and neurodegeneration in an RNA-binding activity-dependent manner. Moreover, we found that FUS directly binds to and modulates the G-quadruplex structure of GGGGCC repeat RNA as an RNA chaperone, resulting in the suppression of RAN translation in vitro. These results reveal a previously unrecognized regulatory mechanism of RAN translation by G-quadruplex-targeting RBPs, providing therapeutic insights for C9-ALS/FTD and other repeat expansion diseases.
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Grants
- Scientific Research on Innovative Areas (Brain Protein Aging and Dementia Control) 17H05699 Ministry of Education, Culture, Sports, Science and Technology
- Scientific Research on Innovative Areas (Brain Protein Aging and Dementia Control) 17H05705 Ministry of Education, Culture, Sports, Science and Technology
- Transformative Research Areas (A) (Multifaceted Proteins) 20H05927 Ministry of Education, Culture, Sports, Science and Technology
- Strategic Research Program for Brain Sciences 11013026 Ministry of Education, Culture, Sports, Science and Technology
- Scientific Research (B) 21H02840 Japan Society for the Promotion of Science
- Scientific Research (B) 20H03602 Japan Society for the Promotion of Science
- Scientific Research (C) 15K09331 Japan Society for the Promotion of Science
- Scientific Research (C) 19K07823 Japan Society for the Promotion of Science
- Scientific Research (C) 17K07291 Japan Society for the Promotion of Science
- Young Scientists (A) 17H05091 Japan Society for the Promotion of Science
- Young Scientists (B) 25860733 Japan Society for the Promotion of Science
- Challenging Exploratory Research 24659438 Japan Society for the Promotion of Science
- Challenging Exploratory Research 18K19515 Japan Society for the Promotion of Science
- Health Labor Sciences Research Grant for Research on Development of New Drugs H24-Soyaku-Sogo-002 Ministry of Health, Labor and Welfare, Japan
- Strategic Research Program for Brain Sciences JP15dm0107026 Japan Agency for Medical Research and Development
- Strategic Research Program for Brain Sciences JP20dm0107061 Japan Agency for Medical Research and Development
- Practical Research Projects for Rare/Intractable Diseases JP16ek0109018 Japan Agency for Medical Research and Development
- Practical Research Projects for Rare/Intractable Diseases JP19ek0109222 Japan Agency for Medical Research and Development
- Practical Research Projects for Rare/Intractable Diseases JP20ek0109316 Japan Agency for Medical Research and Development
- Platform Project for Supporting Drug Discovery and Life Science Research JP19am0101072 Japan Agency for Medical Research and Development
- Intramural Research Grants for Neurological and Psychiatric Disorders 27-7 National Center of Neurology and Psychiatry
- Intramural Research Grants for Neurological and Psychiatric Disorders 27-9 National Center of Neurology and Psychiatry
- Intramural Research Grants for Neurological and Psychiatric Disorders 30-3 National Center of Neurology and Psychiatry
- Intramural Research Grants for Neurological and Psychiatric Disorders 30-9 National Center of Neurology and Psychiatry
- Intramural Research Grants for Neurological and Psychiatric Disorders 3-9 National Center of Neurology and Psychiatry
- IBC Grant H28 Japan Amyotrophic Lateral Sclerosis Association
- 2017 Takeda Science Foundation
- 2016 Takeda Science Foundation
- 2018 SENSHIN Medical Research Foundation
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Affiliation(s)
- Yuzo Fujino
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Morio Ueyama
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Taro Ishiguro
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Daisaku Ozawa
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hayato Ito
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan
| | - Toshihiko Sugiki
- Laboratory of Molecular Biophysics, Institute for Protein Research, Osaka University, Osaka, Japan
| | - Asako Murata
- Department of Regulatory Bioorganic Chemistry, The Institute of Scientific and28 Industrial Research, Osaka University, Osaka, Japan
| | - Akira Ishiguro
- Research Center for Micro-nano Technology, Hosei University, Tokyo, Japan
| | - Tania Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, United States
| | - Kohji Mori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Eiichi Tokuda
- Department of Chemistry, Keio University, Kanagawa, Japan
| | - Tomoya Taminato
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takuya Konno
- Department of Neurology, Clinical Neuroscience Branch, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akihide Koyama
- Department of Neurology, Clinical Neuroscience Branch, Brain Research Institute, Niigata University, Niigata, Japan
| | - Yuya Kawabe
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Toshihide Takeuchi
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan
- Life Science Research Institute, Kindai University, Osaka, Japan
| | | | - Toshimichi Fujiwara
- Laboratory of Molecular Biophysics, Institute for Protein Research, Osaka University, Osaka, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Toshiki Mizuno
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hideki Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hidehiro Mizusawa
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Keiji Wada
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kinya Ishikawa
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Osamu Onodera
- Department of Neurology, Clinical Neuroscience Branch, Brain Research Institute, Niigata University, Niigata, Japan
| | - Kazuhiko Nakatani
- Department of Regulatory Bioorganic Chemistry, The Institute of Scientific and28 Industrial Research, Osaka University, Osaka, Japan
| | | | - Hideki Taguchi
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, Kanagawa, Japan
| | - Yoshitaka Nagai
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Neurology, Osaka University Graduate School of Medicine, Osaka, Japan
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36
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Henden L, Fearnley LG, Grima N, McCann EP, Dobson-Stone C, Fitzpatrick L, Friend K, Hobson L, Chan Moi Fat S, Rowe DB, D'Silva S, Kwok JB, Halliday GM, Kiernan MC, Mazumder S, Timmins HC, Zoing M, Pamphlett R, Adams L, Bahlo M, Blair IP, Williams KL. Short tandem repeat expansions in sporadic amyotrophic lateral sclerosis and frontotemporal dementia. SCIENCE ADVANCES 2023; 9:eade2044. [PMID: 37146135 PMCID: PMC10162670 DOI: 10.1126/sciadv.ade2044] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Pathogenic short tandem repeat (STR) expansions cause over 20 neurodegenerative diseases. To determine the contribution of STRs in sporadic amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), we used ExpansionHunter, REviewer, and polymerase chain reaction validation to assess 21 neurodegenerative disease-associated STRs in whole-genome sequencing data from 608 patients with sporadic ALS, 68 patients with sporadic FTD, and 4703 matched controls. We also propose a data-derived outlier detection method for defining allele thresholds in rare STRs. Excluding C9orf72 repeat expansions, 17.6% of clinically diagnosed ALS and FTD cases had at least one expanded STR allele reported to be pathogenic or intermediate for another neurodegenerative disease. We identified and validated 162 disease-relevant STR expansions in C9orf72 (ALS/FTD), ATXN1 [spinal cerebellar ataxia type 1 (SCA1)], ATXN2 (SCA2), ATXN8 (SCA8), TBP (SCA17), HTT (Huntington's disease), DMPK [myotonic dystrophy type 1 (DM1)], CNBP (DM2), and FMR1 (fragile-X disorders). Our findings suggest clinical and pathological pleiotropy of neurodegenerative disease genes and highlight their importance in ALS and FTD.
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Affiliation(s)
- Lyndal Henden
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Liam G Fearnley
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Natalie Grima
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Emily P McCann
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Carol Dobson-Stone
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Lauren Fitzpatrick
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Kathryn Friend
- SA Pathology, Women's and Children's Hospital, North Adelaide, SA 5006, Australia
| | - Lynne Hobson
- SA Pathology, Women's and Children's Hospital, North Adelaide, SA 5006, Australia
| | - Sandrine Chan Moi Fat
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Dominic B Rowe
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
- Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW 2109, Australia
| | - Susan D'Silva
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
- Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW 2109, Australia
| | - John B Kwok
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Glenda M Halliday
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Srestha Mazumder
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Hannah C Timmins
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Margaret Zoing
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Roger Pamphlett
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Discipline of Pathology, The University of Sydney, Sydney, NSW 2050, Australia
- Department of Neuropathology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Lorel Adams
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, 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, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Ian P Blair
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Kelly L Williams
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
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37
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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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38
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Cleary S, Teskey G, Mathews C, Sachachar RJ, Nicolson R, Weksberg R, Anagnostou E, Bowdish DME, Foster JA. Assessment of a multisite standardized biospecimen collection protocol for immune phenotyping in neurodevelopmental disorders. Sci Rep 2023; 13:6971. [PMID: 37117247 PMCID: PMC10147654 DOI: 10.1038/s41598-023-33380-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 04/12/2023] [Indexed: 04/30/2023] Open
Abstract
Multisite collection and preservation of peripheral blood mononuclear cells (PBMCs) for centralized analysis is an indispensable strategy for large cohort immune phenotyping studies. However, the absence of cross-site standardized protocols introduces unnecessary sample variance. Here we describe the protocol implemented by the Province of Ontario Neurodevelopmental Disorders (POND) Network's immune platform for the multisite collection, processing, and cryopreservation of PBMCs. We outline quality control standards and evaluate the performance of our PBMC processing and storage protocol. We also describe the Child Immune History Questionnaire results, an assessment tool evaluating pre-existing immune conditions in children with neurodevelopmental disorders (NDDs). Cell viability was assessed in samples from 178 participants based on strict quality control criteria. Overall, 83.1% of samples passed quality control standards. Samples collected and processed at the same site had higher quality control pass rates than samples that were collected and subsequently shipped to another site for processing. We investigated if freezer time impacted sample viability and found no difference in mean freezer time between samples that passed and failed quality control. The Child Immune History Questionnaire had a response rate of 87.1%. The described protocol produces viable samples that may be used in future immune phenotyping experiments.
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Affiliation(s)
- Shane Cleary
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- The Research Institute at St. Joe's, Hamilton, ON, Canada
| | - Grace Teskey
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Craig Mathews
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- The Research Institute at St. Joe's, Hamilton, ON, Canada
| | - Russell J Sachachar
- Department of Psychiatry, University of Toronto, The Hospital for Sick Children, Toronto, ON, Canada
| | - Robert Nicolson
- Lawson Health Research Institute and Western University, London, ON, Canada
| | - Rosanna Weksberg
- Division of Clinical and Metabolic Genetics and Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- Departments of Pediatrics, University of Toronto, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Institiute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Departments of Pediatrics, University of Toronto, Toronto, ON, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Dawn M E Bowdish
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON, Canada
| | - Jane A Foster
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
- The Research Institute at St. Joe's, Hamilton, ON, Canada.
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39
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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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40
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Wright SE, Todd PK. Native functions of short tandem repeats. eLife 2023; 12:e84043. [PMID: 36940239 PMCID: PMC10027321 DOI: 10.7554/elife.84043] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 03/08/2023] [Indexed: 03/21/2023] Open
Abstract
Over a third of the human genome is comprised of repetitive sequences, including more than a million short tandem repeats (STRs). While studies of the pathologic consequences of repeat expansions that cause syndromic human diseases are extensive, the potential native functions of STRs are often ignored. Here, we summarize a growing body of research into the normal biological functions for repetitive elements across the genome, with a particular focus on the roles of STRs in regulating gene expression. We propose reconceptualizing the pathogenic consequences of repeat expansions as aberrancies in normal gene regulation. From this altered viewpoint, we predict that future work will reveal broader roles for STRs in neuronal function and as risk alleles for more common human neurological diseases.
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Affiliation(s)
- Shannon E Wright
- Department of Neurology, University of Michigan–Ann ArborAnn ArborUnited States
- Neuroscience Graduate Program, University of Michigan–Ann ArborAnn ArborUnited States
- Department of Neuroscience, Picower InstituteCambridgeUnited States
| | - Peter K Todd
- Department of Neurology, University of Michigan–Ann ArborAnn ArborUnited States
- VA Ann Arbor Healthcare SystemAnn ArborUnited States
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41
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Ikemoto K, Fujimoto H, Fujimoto A. Localized assembly for long reads enables genome-wide analysis of repetitive regions at single-base resolution in human genomes. Hum Genomics 2023; 17:21. [PMID: 36895025 PMCID: PMC9996862 DOI: 10.1186/s40246-023-00467-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/01/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Long-read sequencing technologies have the potential to overcome the limitations of short reads and provide a comprehensive picture of the human genome. However, the characterization of repetitive sequences by reconstructing genomic structures at high resolution solely from long reads remains difficult. Here, we developed a localized assembly method (LoMA) that constructs highly accurate consensus sequences (CSs) from long reads. METHODS We developed LoMA by combining minimap2, MAFFT, and our algorithm, which classifies diploid haplotypes based on structural variants and CSs. Using this tool, we analyzed two human samples (NA18943 and NA19240) sequenced with the Oxford Nanopore sequencer. We defined target regions in each genome based on mapping patterns and then constructed a high-quality catalog of the human insertion solely from the long-read data. RESULTS The assessment of LoMA showed a high accuracy of CSs (error rate < 0.3%) compared with raw data (error rate > 8%) and superiority to a previous study. The genome-wide analysis of NA18943 and NA19240 identified 5516 and 6542 insertions (≥ 100 bp), respectively. Most insertions (~ 80%) were derived from tandem repeats and transposable elements. We also detected processed pseudogenes, insertions in transposable elements, and long insertions (> 10 kbp). Finally, our analysis suggested that short tandem duplications are associated with gene expression and transposons. CONCLUSIONS Our analysis showed that LoMA constructs high-quality sequences from long reads with substantial errors. This study revealed the true structures of the insertions with high accuracy and inferred the mechanisms for the insertions, thus contributing to future human genome studies. LoMA is available at our GitHub page: https://github.com/kolikem/loma .
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Affiliation(s)
- Ko Ikemoto
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, Japan
| | - Hinano Fujimoto
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, Japan
| | - Akihiro Fujimoto
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, Japan.
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42
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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: 8] [Impact Index Per Article: 8.0] [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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43
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Hara T, Owada Y, Takata A. Genetics of bipolar disorder: insights into its complex architecture and biology from common and rare variants. J Hum Genet 2023; 68:183-191. [PMID: 35614313 DOI: 10.1038/s10038-022-01046-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 11/09/2022]
Abstract
Bipolar disorder (BD) is a common mental disorder characterized by recurrent mood episodes, which causes major socioeconomic burdens globally. Though its disease pathogenesis is largely unknown, the high heritability of BD indicates strong contributions from genetic factors. In this review, we summarize the recent achievements in the genetics of BD, particularly those from genome-wide association study (GWAS) of common variants and next-generation sequencing analysis of rare variants. These include the identification of dozens of robust disease-associated loci, deepening of our understanding of the biology of BD, objective description of correlations with other psychiatric disorders and behavioral traits, formulation of methods for predicting disease risk and drug response, and the discovery of a single gene associated with bipolar disorder and schizophrenia spectrum with a large effect size. On the other hand, the findings to date have not yet made a clear contribution to the improvement of clinical psychiatry of BD. We overview the remaining challenges as well as possible paths to resolve them, referring to studies of other major neuropsychiatric disorders.
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Affiliation(s)
- Tomonori Hara
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.,Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Yuji Owada
- Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Atsushi Takata
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.
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44
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Calluori S, Stark R, Pearson BL. Gene-Environment Interactions in Repeat Expansion Diseases: Mechanisms of Environmentally Induced Repeat Instability. Biomedicines 2023; 11:515. [PMID: 36831049 PMCID: PMC9953593 DOI: 10.3390/biomedicines11020515] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Short tandem repeats (STRs) are units of 1-6 base pairs that occur in tandem repetition to form a repeat tract. STRs exhibit repeat instability, which generates expansions or contractions of the repeat tract. Over 50 diseases, primarily affecting the central nervous system and muscles, are characterized by repeat instability. Longer repeat tracts are typically associated with earlier age of onset and increased disease severity. Environmental exposures are suspected to play a role in the pathogenesis of repeat expansion diseases. Here, we review the current knowledge of mechanisms of environmentally induced repeat instability in repeat expansion diseases. The current evidence demonstrates that environmental factors modulate repeat instability via DNA damage and induction of DNA repair pathways, with distinct mechanisms for repeat expansion and contraction. Of particular note, oxidative stress is a key mediator of environmentally induced repeat instability. The preliminary evidence suggests epigenetic modifications as potential mediators of environmentally induced repeat instability. Future research incorporating an array of environmental exposures, new human cohorts, and improved model systems, with a continued focus on cell-types, tissues, and critical windows, will aid in identifying mechanisms of environmentally induced repeat instability. Identifying environmental modulators of repeat instability and their mechanisms of action will inform preventions, therapies, and public health measures.
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Affiliation(s)
- Stephanie Calluori
- Department of Environmental Health Sciences, Mailman School of Public Health Columbia University, New York, NY 10032, USA
- Barnard College of Columbia University, 3009 Broadway, New York, NY 10027, USA
| | - Rebecca Stark
- Department of Environmental Health Sciences, Mailman School of Public Health Columbia University, New York, NY 10032, USA
| | - Brandon L. Pearson
- Department of Environmental Health Sciences, Mailman School of Public Health Columbia University, New York, NY 10032, USA
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45
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Unexpected diagnosis of myotonic dystrophy type 2 repeat expansion by genome sequencing. Eur J Hum Genet 2023; 31:122-124. [PMID: 35945246 PMCID: PMC9823003 DOI: 10.1038/s41431-022-01166-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 05/29/2022] [Accepted: 07/21/2022] [Indexed: 02/08/2023] Open
Abstract
Several neurological disorders, such as myotonic dystrophy are caused by expansions of short tandem repeats (STRs) which can be difficult to detect by molecular tools. Methodological advances have made repeat expansion (RE) detection with whole genome sequencing (WGS) feasible. We recruited a multi-generational family (family A) ascertained for genetic studies of autism spectrum disorder. WGS was performed on seven children from four nuclear families from family A and analyzed for REs of STRs known to cause neurological disorders. We detected an expansion of a heterozygous intronic CCTG STR in CNBP in two siblings. This STR causes myotonic dystrophy type 2 (DM2). The expansion did not segregate with the ASD phenotype. Repeat-primed PCR showed that the DM2 CCTG motif was expanded above the pathogenic threshold in both children and their mother. On subsequent examination, the mother had mild features of DM2. We show that screening of STRs in WGS datasets has diagnostic utility, both in the clinical and research domain, with potential management and genetic counseling implications.
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46
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Rare tandem repeat expansions associate with genes involved in synaptic and neuronal signaling functions in schizophrenia. Mol Psychiatry 2023; 28:475-482. [PMID: 36380236 PMCID: PMC9812781 DOI: 10.1038/s41380-022-01857-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 11/17/2022]
Abstract
Tandem repeat expansions (TREs) are associated with over 60 monogenic disorders and have recently been implicated in complex disorders such as cancer and autism spectrum disorder. The role of TREs in schizophrenia is now emerging. In this study, we have performed a genome-wide investigation of TREs in schizophrenia. Using genome sequence data from 1154 Swedish schizophrenia cases and 934 ancestry-matched population controls, we have detected genome-wide rare (<0.1% population frequency) TREs that have motifs with a length of 2-20 base pairs. We find that the proportion of individuals carrying rare TREs is significantly higher in the schizophrenia group. There is a significantly higher burden of rare TREs in schizophrenia cases than in controls in genic regions, particularly in postsynaptic genes, in genes overlapping brain expression quantitative trait loci, and in brain-expressed genes that are differentially expressed between schizophrenia cases and controls. We demonstrate that TRE-associated genes are more constrained and primarily impact synaptic and neuronal signaling functions. These results have been replicated in an independent Canadian sample that consisted of 252 schizophrenia cases of European ancestry and 222 ancestry-matched controls. Our results support the involvement of rare TREs in schizophrenia etiology.
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47
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Recurrent repeat expansions in human cancer genomes. Nature 2023; 613:96-102. [PMID: 36517591 DOI: 10.1038/s41586-022-05515-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/02/2022] [Indexed: 12/16/2022]
Abstract
Expansion of a single repetitive DNA sequence, termed a tandem repeat (TR), is known to cause more than 50 diseases1,2. However, repeat expansions are often not explored beyond neurological and neurodegenerative disorders. In some cancers, mutations accumulate in short tracts of TRs, a phenomenon termed microsatellite instability; however, larger repeat expansions have not been systematically analysed in cancer3-8. Here we identified TR expansions in 2,622 cancer genomes spanning 29 cancer types. In seven cancer types, we found 160 recurrent repeat expansions (rREs), most of which (155/160) were subtype specific. We found that rREs were non-uniformly distributed in the genome with enrichment near candidate cis-regulatory elements, suggesting a potential role in gene regulation. One rRE, a GAAA-repeat expansion, located near a regulatory element in the first intron of UGT2B7 was detected in 34% of renal cell carcinoma samples and was validated by long-read DNA sequencing. Moreover, in preliminary experiments, treating cells that harbour this rRE with a GAAA-targeting molecule led to a dose-dependent decrease in cell proliferation. Overall, our results suggest that rREs may be an important but unexplored source of genetic variation in human cancer, and we provide a comprehensive catalogue for further study.
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48
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Dashnow H, Pedersen BS, Hiatt L, Brown J, Beecroft SJ, Ravenscroft G, LaCroix AJ, Lamont P, Roxburgh RH, Rodrigues MJ, Davis M, Mefford HC, Laing NG, Quinlan AR. STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci. Genome Biol 2022; 23:257. [PMID: 36517892 PMCID: PMC9753380 DOI: 10.1186/s13059-022-02826-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
Expansions of short tandem repeats (STRs) cause many rare diseases. Expansion detection is challenging with short-read DNA sequencing data since supporting reads are often mapped incorrectly. Detection is particularly difficult for "novel" STRs, which include new motifs at known loci or STRs absent from the reference genome. We developed STRling to efficiently count k-mers to recover informative reads and call expansions at known and novel STR loci. STRling is sensitive to known STR disease loci, has a low false discovery rate, and resolves novel STR expansions to base-pair position accuracy. It is fast, scalable, open-source, and available at: github.com/quinlan-lab/STRling .
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Affiliation(s)
- Harriet Dashnow
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA
| | - Brent S. Pedersen
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA ,grid.7692.a0000000090126352Utrecht University Medical Center, Utrecht, The Netherlands
| | - Laurel Hiatt
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA
| | - Joe Brown
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA
| | - Sarah J. Beecroft
- Pawsey Supercomputing Research Centre, Kensington, WA Australia ,grid.1012.20000 0004 1936 7910Harry Perkins Institute of Medical Research and Centre for Medical Research, University of Western Australia, Perth, WA Australia
| | - Gianina Ravenscroft
- grid.1012.20000 0004 1936 7910Harry Perkins Institute of Medical Research and Centre for Medical Research, University of Western Australia, Perth, WA Australia
| | - Amy J. LaCroix
- grid.34477.330000000122986657Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195 USA
| | - Phillipa Lamont
- grid.416195.e0000 0004 0453 3875Neurogenetic Unit, Royal Perth Hospital, Perth, WA Australia
| | - Richard H. Roxburgh
- grid.414055.10000 0000 9027 2851Neurology, Auckland City Hospital, Auckland, New Zealand
| | - Miriam J. Rodrigues
- grid.414055.10000 0000 9027 2851Neurology, Auckland City Hospital, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Mark Davis
- grid.413880.60000 0004 0453 2856Neurogenetics Unit, Department of Diagnostic Genomics, PathWest Laboratory Medicine, Western Australian Department of Health, Nedlands, Australia
| | - Heather C. Mefford
- grid.34477.330000000122986657Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195 USA
| | - Nigel G. Laing
- grid.1012.20000 0004 1936 7910Harry Perkins Institute of Medical Research and Centre for Medical Research, University of Western Australia, Perth, WA Australia ,grid.413880.60000 0004 0453 2856Neurogenetics Unit, Department of Diagnostic Genomics, PathWest Laboratory Medicine, Western Australian Department of Health, Nedlands, Australia
| | - Aaron R. Quinlan
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA
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49
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Steely CJ, Watkins WS, Baird L, Jorde LB. The mutational dynamics of short tandem repeats in large, multigenerational families. Genome Biol 2022; 23:253. [PMID: 36510265 PMCID: PMC9743774 DOI: 10.1186/s13059-022-02818-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Short tandem repeats (STRs) compose approximately 3% of the genome, and mutations at STR loci have been linked to dozens of human diseases including amyotrophic lateral sclerosis, Friedreich ataxia, Huntington disease, and fragile X syndrome. Improving our understanding of these mutations would increase our knowledge of the mutational dynamics of the genome and may uncover additional loci that contribute to disease. To estimate the genome-wide pattern of mutations at STR loci, we analyze blood-derived whole-genome sequencing data for 544 individuals from 29 three-generation CEPH pedigrees. These pedigrees contain both sets of grandparents, the parents, and an average of 9 grandchildren per family. RESULTS We use HipSTR to identify de novo STR mutations in the 2nd generation of these pedigrees and require transmission to the third generation for validation. Analyzing approximately 1.6 million STR loci, we estimate the empirical de novo STR mutation rate to be 5.24 × 10-5 mutations per locus per generation. Perfect repeats mutate about 2 × more often than imperfect repeats. De novo STRs are significantly enriched in Alu elements. CONCLUSIONS Approximately 30% of new STR mutations occur within Alu elements, which compose only 11% of the genome, but only 10% are found in LINE-1 insertions, which compose 17% of the genome. Phasing these mutations to the parent of origin shows that parental transmission biases vary among families. We estimate the average number of de novo genome-wide STR mutations per individual to be approximately 85, which is similar to the average number of observed de novo single nucleotide variants.
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Affiliation(s)
- Cody J. Steely
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
| | - W. Scott Watkins
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
| | - Lisa Baird
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
| | - Lynn B. Jorde
- grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
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50
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Maihofer AX, Engchuan W, Huguet G, Klein M, MacDonald JR, Shanta O, Thiruvahindrapuram B, Jean-Louis M, Saci Z, Jacquemont S, Scherer SW, Ketema E, Aiello AE, Amstadter AB, Avdibegović E, Babic D, Baker DG, Bisson JI, Boks MP, Bolger EA, Bryant RA, Bustamante AC, Caldas-de-Almeida JM, Cardoso G, Deckert J, Delahanty DL, Domschke K, Dunlop BW, Dzubur-Kulenovic A, Evans A, Feeny NC, Franz CE, Gautam A, Geuze E, Goci A, Hammamieh R, Jakovljevic M, Jett M, Jones I, Kaufman ML, Kessler RC, King AP, Kremen WS, Lawford BR, Lebois LAM, Lewis C, Liberzon I, Linnstaedt SD, Lugonja B, Luykx JJ, Lyons MJ, Mavissakalian MR, McLaughlin KA, McLean SA, Mehta D, Mellor R, Morris CP, Muhie S, Orcutt HK, Peverill M, Ratanatharathorn A, Risbrough VB, Rizzo A, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rutten BPF, Schijven D, Seng JS, Sheerin CM, Sorenson MA, Teicher MH, Uddin M, Ursano RJ, Vinkers CH, Voisey J, Weber H, Winternitz S, Xavier M, Yang R, McD Young R, Zoellner LA, Salem RM, Shaffer RA, Wu T, Ressler KJ, Stein MB, Koenen KC, Sebat J, Nievergelt CM. Rare copy number variation in posttraumatic stress disorder. Mol Psychiatry 2022; 27:5062-5069. [PMID: 36131047 PMCID: PMC9763110 DOI: 10.1038/s41380-022-01776-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/24/2022] [Accepted: 09/02/2022] [Indexed: 01/27/2023]
Abstract
Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24-71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. The total distance covered by deletions crossing over known neurodevelopmental CNV regions was significant (beta = 0.029, SE = 0.005, P = 6.3 × 10-8). The genome-wide neurodevelopmental CNV burden identified explains 0.034% of the variation in PTSD symptoms. The 15q11.2 BP1-BP2 microdeletion region was significantly associated with PTSD (beta = 0.0206, SE = 0.0056, P = 0.0002). No individual significant genes interrupted by CNV were identified. 22 gene pathways related to the function of the nervous system and brain were significant in pathway analysis (FDR q < 0.05), but these associations were not significant once NDD regions were removed. A larger sample size, better detection methods, and annotated resources of CNV are needed to explore this relationship further.
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Affiliation(s)
- Adam X Maihofer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA.
| | - Worrawat Engchuan
- The Hospital for Sick Children, Genetics and Genome Biology, Toronto, Ontario, Canada
- The Hospital for Sick Children, The Centre for Applied Genomics, Toronto, Ontario, Canada
| | - Guillaume Huguet
- Centre Hospitalier Universitaire Sainte-Justine Centre de Recherche, Montreal, Quebec, Canada
| | - Marieke Klein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey R MacDonald
- The Hospital for Sick Children, Genetics and Genome Biology, Toronto, Ontario, Canada
| | - Omar Shanta
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
| | | | - Martineau Jean-Louis
- Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine Centre de Recherche, Montreal, Quebec, Canada
| | - Zohra Saci
- Centre Hospitalier Universitaire Sainte-Justine Centre de Recherche, Montreal, Quebec, Canada
| | - Sebastien Jacquemont
- Centre Hospitalier Universitaire Sainte-Justine Centre de Recherche, Montreal, Quebec, Canada
- Department of Genetics, Centre Hospitalier Universitaire Vaudois, Lausanne, Vaud, Switzerland
- Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Stephen W Scherer
- The Hospital for Sick Children, Genetics and Genome Biology, Toronto, Ontario, Canada
- University of Toronto, McLaughlin Centre, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Ketema
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Allison E Aiello
- Department of Epidemiology, Robert N Butler Columbia Aging Center, Columbia University, New York, NY, USA
| | - Ananda B Amstadter
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Esmina Avdibegović
- Department of Psychiatry, University Clinical Center of Tuzla, Tuzla, Bosnia and Herzegovina
| | - Dragan Babic
- Department of Psychiatry, University Clinical Center of Mostar, Mostar, Bosnia and Herzegovina
| | - Dewleen G Baker
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Psychiatry Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Jonathan I Bisson
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, National Centre for Mental Health, Cardiff, South Glamorgan, UK
| | - Marco P Boks
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Elizabeth A Bolger
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Richard A Bryant
- Department of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Angela C Bustamante
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | - Graça Cardoso
- Lisbon Institute of Global Mental Health and Comprehensive Health Research Centre, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Jurgen Deckert
- University Hospital of Wuerzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Wuerzburg, Germany
| | - Douglas L Delahanty
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
- Research and Sponsored Programs, Kent State University, Kent, OH, USA
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany
- Faculty of Medicine, Centre for Basics in Neuromodulation, University of Freiburg, Freiburg, Germany
| | - Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Alma Dzubur-Kulenovic
- Department of Psychiatry, University Clinical Center of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Alexandra Evans
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, National Centre for Mental Health, Cardiff, South Glamorgan, UK
| | - Norah C Feeny
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Aarti Gautam
- Walter Reed Army Institute of Research, Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Silver Spring, MD, USA
| | - Elbert Geuze
- Netherlands Ministry of Defence, Brain Research and Innovation Centre, Utrecht, the Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Aferdita Goci
- Department of Psychiatry, University Clinical Centre of Kosovo, Prishtina, Kosovo
| | - Rasha Hammamieh
- Walter Reed Army Institute of Research, Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Silver Spring, MD, USA
| | - Miro Jakovljevic
- Department of Psychiatry, University Hospital Center of Zagreb, Zagreb, Croatia
| | - Marti Jett
- US Medical Research & Development Comm, Fort Detrick, MD, USA
- Walter Reed Army Institute of Research, Headquarter, Silver Spring, MD, USA
| | - Ian Jones
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, National Centre for Mental Health, Cardiff, South Glamorgan, UK
| | - Milissa L Kaufman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Anthony P King
- Ohio State University, College of Medicine, Institute for Behavioral Medicine Research, Columbus, OH, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Bruce R Lawford
- School of Biomedical Sciences, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Lauren A M Lebois
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Catrin Lewis
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, National Centre for Mental Health, Cardiff, South Glamorgan, UK
| | - Israel Liberzon
- Department of Psychiatry and Behavioral Sciences, Texas A&M University College of Medicine, Bryan, TX, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bozo Lugonja
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, National Centre for Mental Health, Cardiff, South Glamorgan, UK
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Michael J Lyons
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | | | | | - Samuel A McLean
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Emergency Medicine, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
| | - Divya Mehta
- School of Biomedical Sciences, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, QLD, Australia
| | - Rebecca Mellor
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, QLD, Australia
| | - Charles Phillip Morris
- School of Biomedical Sciences, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Seid Muhie
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Holly K Orcutt
- Department of Psychology, Northern Illinois University, DeKalb, IL, USA
| | - Matthew Peverill
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Andrew Ratanatharathorn
- Department of Epidemiology, Columbia University Mailmain School of Public Health, New York, NY, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Victoria B Risbrough
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Albert Rizzo
- University of Southern California, Institute for Creative Technologies, Los Angeles, CA, USA
| | - Andrea L Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alex O Rothbaum
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Barbara O Rothbaum
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Peter Roy-Byrne
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Kenneth J Ruggiero
- Department of Nursing and Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, Maastricht Universitair Medisch Centrum, School for Mental Health and Neuroscience, Maastricht, Limburg, the Netherlands
| | - Dick Schijven
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Julia S Seng
- University of Michigan, School of Nursing, Ann Arbor, MI, USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
- Department of Women's and Gender Studies, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Institute for Research on Women and Gender, Ann Arbor, MI, USA
| | - Christina M Sheerin
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Michael A Sorenson
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Martin H Teicher
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, MA, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Christiaan H Vinkers
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Joanne Voisey
- School of Biomedical Sciences, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, QLD, Australia
| | - Heike Weber
- University Hospital of Wuerzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Wuerzburg, Germany
| | - Sherry Winternitz
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Miguel Xavier
- Universidade Nova de Lisboa, Nova Medical School, Lisboa, Portugal
| | - Ruoting Yang
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Ross McD Young
- Queensland University of Technology, School of Clinical Sciences, Kelvin Grove, QLD, Australia
- University of the Sunshine Coast, The Chancellory, Sippy Downs, QLD, Australia
| | - Lori A Zoellner
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Rany M Salem
- University of California San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, CA, USA
| | - Richard A Shaffer
- Department of Epidemiology and Health Sciences, Naval Health Research Center, San Diego, CA, USA
| | - Tianying Wu
- Division of Epidemiology and Biostatistics, San Diego State University, School of Public Health, San Diego, CA, USA
- University of California, San Diego, Moores Cancer Center, San Diego, CA, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
- University of California San Diego, School of Public Health, La Jolla, CA, USA
| | - Karestan C Koenen
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Epidemiology, Harvard T. H. School of Public Health, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan Sebat
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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