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Billes A, Pujalte M, Jedraszak G, Amsallem D, Boudry-Labis E, Boute O, Bouquillon S, Brischoux-Boucher E, Callier P, Coutton C, Denizet ALA, Dieterich K, Kuentz P, Lespinasse J, Mazel B, Morin G, Amram F, Pennamen P, Rio M, Piard J, Putoux A, Rama M, Roze-Guillaumey V, Schluth-Bolard C, Till M, Trouvé C, Vieville G, Rooryck C, Sanlaville D, Chatron N. Possible incomplete penetrance of Xq28 int22h-1/int22h-2 duplication. Clin Genet 2024; 106:234-246. [PMID: 38561231 DOI: 10.1111/cge.14525] [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: 12/03/2023] [Revised: 03/16/2024] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
Xq28 int22h-1/int22h-2 duplication is the result of non-allelic homologous recombination between int22h-1/int22h-2 repeats separated by 0.5 Mb. It is responsible for a syndromic form of intellectual disability (ID), with recurrent infections and atopic diseases. Minor defects, nonspecific facial dysmorphic features, and overweight have also been described. Half of female carriers have been reported with ID, whereas all reported evaluated born males present mild to moderate ID, suggesting complete penetrance. We collected data on 15 families from eight university hospitals. Among them, 40 patients, 21 females (one fetus), and 19 males (two fetuses), were carriers of typical or atypical Xq28 int22h-1/int22h-2 duplication. Twenty-one individuals were considered asymptomatic (16 females and 5 males), without significantly higher rate of recurrent infections, atopia, overweight, or facial dysmorphism. Approximately 67% live-born males and 23% live-born female carriers of the typical duplication did not have obvious signs of intellectual disability, suggesting previously undescribed incomplete penetrance or low expression in certain carriers. The possibility of a second-hit or modifying factors to this possible susceptibility locus is yet to be studied but a possible observational bias should be considered in assessing such challenging X-chromosome copy number gains. Additional segregation studies should help to quantify this newly described incomplete penetrance.
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Affiliation(s)
- Alexis Billes
- CHU Amiens Picardie, Service de Génétique Clinique, Amiens, France
- CHU Amiens Picardie, Laboratoire de Génétique Constitutionnelle, Amiens, France
| | - Mathilde Pujalte
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
| | - Guillaume Jedraszak
- CHU Amiens Picardie, Laboratoire de Génétique Constitutionnelle, Amiens, France
- CHU Amiens Picardie, Département de génétique, UR4666 HEMATIM, CURS, Université Picardie Jules Verne, Amiens, France
| | - Daniel Amsallem
- Service de Neuropédiatrie, CHU de Besançon, Besançon, France
| | - Elise Boudry-Labis
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, Centre Hospitalier Universitaire de Lille, Lille, France
| | - Odile Boute
- Génétique Clinique, Centre Hospitalier Universitaire de Lille, Hôpital Jeanne de Flandre, Lille, France
| | - Sonia Bouquillon
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, Centre Hospitalier Universitaire de Lille, Lille, France
| | - Elise Brischoux-Boucher
- Centre de Génétique Humaine - CHU de Besançon, Université de Bourgogne-Franche-Comté, Besançon, France
| | - Patrick Callier
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Unité Fonctionnelle Innovation diagnostique dans les maladies rares, laboratoire de génétique chromosomique et moléculaire, Plateau Technique de Biologie, CHU Dijon Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Charles Coutton
- Service de Génétique, Génomique, et Procréation, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, France
- INSERM 1209, CNRS UMR 5309, Institut pour l'Avancée des Biosciences (IAB), Université Grenoble Alpes, Grenoble, France
| | - Anne-Laude Avice Denizet
- Centre de Génétique Humaine - CHU de Besançon, Université de Bourgogne-Franche-Comté, Besançon, France
| | - Klaus Dieterich
- Université Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Medical Genetics, Grenoble Institute of Neurosciences, Grenoble, France
- CHU Grenoble, UM Génétique Chromosomique, Grenoble, France
| | - Paul Kuentz
- Oncobiologie Génétique Bioinformatique, PCBio, CHU de Besançon, Besançon, France
- UFR Des Sciences de Santé, INSERM-Université de Bourgogne UMR1231 GAD "Génétique des Anomalies du Développement", FHUTRANSLAD, Dijon, France
| | - James Lespinasse
- Centre Hospitalier de Chambéry, Service de Cytogénétique, Chambéry, France
| | - Benoît Mazel
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs, FHUTRANSLAD - CHU Dijon Bourgogne, Dijon, France
| | - Gilles Morin
- CHU Amiens Picardie, Service de Génétique Clinique, Amiens, France
| | - Florence Amram
- CHU Amiens Picardie, Service de Génétique Clinique, Amiens, France
| | - Perrine Pennamen
- CHU Bordeaux, Laboratoire de Génétique Biologique, Bordeaux, France
| | - Marlène Rio
- Université Paris Cité, Institut Imagine, Inserm U1163, Paris, France
- Service de Médecine Génomique des maladies rares, AP-HP, Centre Hôpital Necker-Enfants Malades, Paris, France
| | - Juliette Piard
- Centre de Génétique Humaine - CHU de Besançon, Université de Bourgogne-Franche-Comté, Besançon, France
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
| | - Audrey Putoux
- Hospices Civils de Lyon, Service de Génétique, Groupement Hospitalier Est, Bron, France
- Equipe GENDEV, Centre de Recherche en Neurosciences de Lyon, INSERM U1028 CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - Mélanie Rama
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, Centre Hospitalier Universitaire de Lille, Lille, France
| | | | - Caroline Schluth-Bolard
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Institute NeuroMyoGène, Laboratoire Physiopathologie et Génétique du Neurone et du Muscle, CNRS UMR 5261-INSERM U1315, Université de Lyon - Université Claude Bernard Lyon 1, Lyon, France
- Laboratoire de Diagnostic Génétique, Institut de Génétique Médicale d'Alsace, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Marianne Till
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
| | - Chloé Trouvé
- Centre de Génétique Humaine - CHU de Besançon, Université de Bourgogne-Franche-Comté, Besançon, France
| | - Gaëlle Vieville
- Département de Génétique et Procréation, Hôpital Couple Enfant, CHU Grenoble-Alpes, Grenoble, France
| | - Caroline Rooryck
- CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
- Univ. Bordeaux, Maladies Rares: Génétique et Métabolisme (MRGM), U 1211 INSERM, Bordeaux, France
| | - Damien Sanlaville
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Institute NeuroMyoGène, Laboratoire Physiopathologie et Génétique du Neurone et du Muscle, CNRS UMR 5261-INSERM U1315, Université de Lyon - Université Claude Bernard Lyon 1, Lyon, France
| | - Nicolas Chatron
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Institute NeuroMyoGène, Laboratoire Physiopathologie et Génétique du Neurone et du Muscle, CNRS UMR 5261-INSERM U1315, Université de Lyon - Université Claude Bernard Lyon 1, Lyon, France
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2
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Rojas de Oliveira H, Chud TCS, Oliveira GA, Hermisdorff IC, Narayana SG, Rochus CM, Butty AM, Malchiodi F, Stothard P, Miglior F, Baes CF, Schenkel FS. Genome-wide association analyses reveal copy number variant regions associated with reproduction and disease traits in Canadian Holstein cattle. J Dairy Sci 2024; 107:7052-7063. [PMID: 38788846 DOI: 10.3168/jds.2023-24295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 04/01/2024] [Indexed: 05/26/2024]
Abstract
This study aimed to evaluate the impact of copy number variants (CNV) on 13 reproduction and 12 disease traits in Holstein cattle. Intensity signal files containing log R ratio and B allele frequency information from 13,730 Holstein animals genotyped with a 95K SNP panel, and 8,467 Holstein animals genotyped with a 50K SNP panel were used to identify the CNVs. Subsequently, the identified CNVs were validated using whole-genome sequence data from 126 animals, resulting in 870 high-confidence copy number variant regions (CNVR) on 12,131 animals. Out of these, 54 CNVR had frequencies higher than or equal to 1% in the population and were used in the genome-wide association analysis (one CNVR at a time, including the G matrix). Results revealed that 4 CNVR were significantly associated with at least one of the traits analyzed in this study. Specifically, 2 CNVR were associated with 3 reproduction traits (i.e., calf survival, first service to conception, and nonreturn rate), and 2 CNVR were associated with 2 disease traits (i.e., metritis and retained placenta). These CNVR harbored genes implicated in immune response, cellular signaling, and neuronal development, supporting their potential involvement in these traits. Further investigations to unravel the mechanistic and functional implications of these CNVR on the mentioned traits are warranted.
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Affiliation(s)
- Hinayah Rojas de Oliveira
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1.
| | - Tatiane C S Chud
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1
| | - Gerson A Oliveira
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1
| | - Isis C Hermisdorff
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1
| | - Saranya G Narayana
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1; Lactanet, Guelph, ON, Canada N1K 1E5
| | - Christina M Rochus
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1
| | | | - Francesca Malchiodi
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1; Semex, Guelph, ON, Canada N1H 6J2
| | - Paul Stothard
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2H1
| | - Filippo Miglior
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1; Lactanet, Guelph, ON, Canada N1K 1E5
| | - Christine F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland 3012
| | - Flavio S Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1.
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3
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Wendelborn C, Anger M, Schickhardt C. Promoting Data Sharing: The Moral Obligations of Public Funding Agencies. SCIENCE AND ENGINEERING ETHICS 2024; 30:35. [PMID: 39105890 PMCID: PMC11303567 DOI: 10.1007/s11948-024-00491-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 06/08/2024] [Indexed: 08/07/2024]
Abstract
Sharing research data has great potential to benefit science and society. However, data sharing is still not common practice. Since public research funding agencies have a particular impact on research and researchers, the question arises: Are public funding agencies morally obligated to promote data sharing? We argue from a research ethics perspective that public funding agencies have several pro tanto obligations requiring them to promote data sharing. However, there are also pro tanto obligations that speak against promoting data sharing in general as well as with regard to particular instruments of such promotion. We examine and weigh these obligations and conclude that all things considered funders ought to promote the sharing of data. Even the instrument of mandatory data sharing policies can be justified under certain conditions.
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Affiliation(s)
- Christian Wendelborn
- Section for Translational Medical Ethics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany.
- University of Konstanz, Konstanz, Germany.
| | - Michael Anger
- Section for Translational Medical Ethics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Christoph Schickhardt
- Section for Translational Medical Ethics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
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4
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Kamitaki N, Hujoel MLA, Mukamel RE, Gebara E, McCarroll SA, Loh PR. A sequence of SVA retrotransposon insertions in ASIP shaped human pigmentation. Nat Genet 2024; 56:1583-1591. [PMID: 39048794 PMCID: PMC11319198 DOI: 10.1038/s41588-024-01841-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 06/21/2024] [Indexed: 07/27/2024]
Abstract
Retrotransposons comprise about 45% of the human genome1, but their contributions to human trait variation and evolution are only beginning to be explored2,3. Here, we find that a sequence of SVA retrotransposon insertions in an early intron of the ASIP (agouti signaling protein) gene has probably shaped human pigmentation several times. In the UK Biobank (n = 169,641), a recent 3.3-kb SVA insertion polymorphism associated strongly with lighter skin pigmentation (0.22 [0.21-0.23] s.d.; P = 2.8 × 10-351) and increased skin cancer risk (odds ratio = 1.23 [1.18-1.27]; P = 1.3 × 10-28), appearing to underlie one of the strongest common genetic influences on these phenotypes within European populations4-6. ASIP expression in skin displayed the same association pattern, with the SVA insertion allele exhibiting 2.2-fold (1.9-2.6) increased expression. This effect had an unusual apparent mechanism: an earlier, nonpolymorphic, human-specific SVA retrotransposon 3.9 kb upstream appeared to have caused ASIP hypofunction by nonproductive splicing, which the new (polymorphic) SVA insertion largely eliminated. Extended haplotype homozygosity indicated that the insertion allele has risen to allele frequencies up to 11% in European populations over the past several thousand years. These results indicate that a sequence of retrotransposon insertions contributed to a species-wide increase, then a local decrease, of human pigmentation.
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Affiliation(s)
- Nolan Kamitaki
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| | - Margaux L A Hujoel
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ronen E Mukamel
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edward Gebara
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Steven A McCarroll
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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5
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Kidd JM. Mobile element insertions affect human pigmentation and skin cancer risk. Nat Genet 2024:10.1038/s41588-024-01849-w. [PMID: 39048793 DOI: 10.1038/s41588-024-01849-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Affiliation(s)
- Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
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6
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Roy S, Mukhopadhyay A. A randomized optimal k-mer indexing approach for efficient parallel genome sequence compression. Gene 2024; 907:148235. [PMID: 38342250 DOI: 10.1016/j.gene.2024.148235] [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: 08/23/2023] [Revised: 01/13/2024] [Accepted: 01/30/2024] [Indexed: 02/13/2024]
Abstract
Next Generation Sequencing (NGS) technology generates massive amounts of genome sequence that increases rapidly over time. As a result, there is a growing need for efficient compression algorithms to facilitate the processing, storage, transmission, and analysis of large-scale genome sequences. Over the past 31 years, numerous state-of-the-art compression algorithms have been developed. The performance of any compression algorithm is measured by three main compression metrics: compression ratio, time, and memory usage. Existing k-mer hash indexing systems take more time, due to the decision-making process based on compression results. In this paper, we propose a two-phase reference genome compression algorithm using optimal k-mer length (RGCOK). Reference-based compression takes advantage of the inter-similarity between chromosomes of the same species. RGCOK achieves this by finding the optimal k-mer length for matching, using a randomization method and hashing. The performance of RGCOK was evaluated on three different benchmark data sets: novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Homo sapiens, and other species sequences using an Amazon AWS virtual cloud machine. Experiments showed that the optimal k-mer finding time by RGCOK is around 45.28 min, whereas the time for existing state-of-the-art algorithms HiRGC, SCCG, and HRCM ranges from 58 min to 8.97 h.
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Affiliation(s)
- Subhankar Roy
- Department of Computer Science and Engineering, Academy of Technology, Adisaptagram, Hooghly 712121, West Bengal, India.
| | - Anirban Mukhopadhyay
- Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia 741235, West Bengal, India.
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7
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Sjodin BMF, Schmidt DA, Galbreath KE, Russello MA. Putative climate adaptation in American pikas (Ochotona princeps) is associated with copy number variation across environmental gradients. Sci Rep 2024; 14:8568. [PMID: 38609461 PMCID: PMC11014952 DOI: 10.1038/s41598-024-59157-6] [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: 11/17/2023] [Accepted: 04/08/2024] [Indexed: 04/14/2024] Open
Abstract
Improved understanding of the genetic basis of adaptation to climate change is necessary for maintaining global biodiversity moving forward. Studies to date have largely focused on sequence variation, yet there is growing evidence that suggests that changes in genome structure may be an even more significant source of adaptive potential. The American pika (Ochotona princeps) is an alpine specialist that shows some evidence of adaptation to climate along elevational gradients, but previous work has been limited to single nucleotide polymorphism based analyses within a fraction of the species range. Here, we investigated the role of copy number variation underlying patterns of local adaptation in the American pika using genome-wide data previously collected across the entire species range. We identified 37-193 putative copy number variants (CNVs) associated with environmental variation (temperature, precipitation, solar radiation) within each of the six major American pika lineages, with patterns of divergence largely following elevational and latitudinal gradients. Genes associated (n = 158) with independent annotations across lineages, variables, and/or CNVs had functions related to mitochondrial structure/function, immune response, hypoxia, olfaction, and DNA repair. Some of these genes have been previously linked to putative high elevation and/or climate adaptation in other species, suggesting they may serve as important targets in future studies.
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Affiliation(s)
- Bryson M F Sjodin
- Department of Biology, The University of British Columbia, 3247 University Way, Kelowna, BC, V1V 1V7, Canada
| | - Danielle A Schmidt
- Department of Biology, The University of British Columbia, 3247 University Way, Kelowna, BC, V1V 1V7, Canada
| | - Kurt E Galbreath
- Department of Biology, Northern Michigan University, 1401 Presque Isle Ave, Marquette, MI, 49855, USA
| | - Michael A Russello
- Department of Biology, The University of British Columbia, 3247 University Way, Kelowna, BC, V1V 1V7, Canada.
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Alfayyadh MM, Maksemous N, Sutherland HG, Lea RA, Griffiths LR. Unravelling the Genetic Landscape of Hemiplegic Migraine: Exploring Innovative Strategies and Emerging Approaches. Genes (Basel) 2024; 15:443. [PMID: 38674378 PMCID: PMC11049430 DOI: 10.3390/genes15040443] [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: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
Migraine is a severe, debilitating neurovascular disorder. Hemiplegic migraine (HM) is a rare and debilitating neurological condition with a strong genetic basis. Sequencing technologies have improved the diagnosis and our understanding of the molecular pathophysiology of HM. Linkage analysis and sequencing studies in HM families have identified pathogenic variants in ion channels and related genes, including CACNA1A, ATP1A2, and SCN1A, that cause HM. However, approximately 75% of HM patients are negative for these mutations, indicating there are other genes involved in disease causation. In this review, we explored our current understanding of the genetics of HM. The evidence presented herein summarises the current knowledge of the genetics of HM, which can be expanded further to explain the remaining heritability of this debilitating condition. Innovative bioinformatics and computational strategies to cover the entire genetic spectrum of HM are also discussed in this review.
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Affiliation(s)
| | | | | | | | - Lyn R. Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia; (M.M.A.); (N.M.); (H.G.S.); (R.A.L.)
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9
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Wu Z, Li T, Jiang Z, Zheng J, Gu Y, Liu Y, Liu Y, Xie Z. Human pangenome analysis of sequences missing from the reference genome reveals their widespread evolutionary, phenotypic, and functional roles. Nucleic Acids Res 2024; 52:2212-2230. [PMID: 38364871 PMCID: PMC10954445 DOI: 10.1093/nar/gkae086] [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: 05/30/2023] [Revised: 01/18/2024] [Accepted: 01/27/2024] [Indexed: 02/18/2024] Open
Abstract
Nonreference sequences (NRSs) are DNA sequences present in global populations but absent in the current human reference genome. However, the extent and functional significance of NRSs in the human genomes and populations remains unclear. Here, we de novo assembled 539 genomes from five genetically divergent human populations using long-read sequencing technology, resulting in the identification of 5.1 million NRSs. These were merged into 45284 unique NRSs, with 29.7% being novel discoveries. Among these NRSs, 38.7% were common across the five populations, and 35.6% were population specific. The use of a graph-based pangenome approach allowed for the detection of 565 transcript expression quantitative trait loci on NRSs, with 426 of these being novel findings. Moreover, 26 NRS candidates displayed evidence of adaptive selection within human populations. Genes situated in close proximity to or intersecting with these candidates may be associated with metabolism and type 2 diabetes. Genome-wide association studies revealed 14 NRSs to be significantly associated with eight phenotypes. Additionally, 154 NRSs were found to be in strong linkage disequilibrium with 258 phenotype-associated SNPs in the GWAS catalogue. Our work expands the understanding of human NRSs and provides novel insights into their functions, facilitating evolutionary and biomedical researches.
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Affiliation(s)
- Zhikun Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Tong Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Zehang Jiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Jingjing Zheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yizhou Gu
- Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China
- University of Wisconsin-Madison, WI, USA
| | - Yizhi Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China
| | - Zhi Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China
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10
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Xu C, Shao J. High-throughput omics technologies in inflammatory bowel disease. Clin Chim Acta 2024; 555:117828. [PMID: 38355001 DOI: 10.1016/j.cca.2024.117828] [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: 07/23/2023] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 02/16/2024]
Abstract
Inflammatory bowel disease (IBD) is a chronic, relapsing intestinal disease. Elucidation of the pathogenic mechanisms of IBD requires high-throughput technologies (HTTs) to effectively obtain and analyze large amounts of data. Recently, HTTs have been widely used in IBD, including genomics, transcriptomics, proteomics, microbiomics, metabolomics and single-cell sequencing. When combined with endoscopy, the application of these technologies can provide an in-depth understanding on the alterations of intestinal microbe diversity and abundance, the abnormalities of signaling pathway-mediated immune responses and functionality, and the evaluation of therapeutic effects, improving the accuracy of early diagnosis and treatment of IBD. This review comprehensively summarizes the development and advancement of HTTs, and also highlights the challenges and future directions of these technologies in IBD research. Although HTTs have made striking breakthrough in IBD, more standardized methods and large-scale dataset processing are still needed to achieve the goal of personalized medicine.
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Affiliation(s)
- Chen Xu
- Laboratory of Anti-infection and Immunity, College of Integrated Chinese and Western Medicine (College of Life Science), Anhui University of Chinese Medicine, Zhijing Building, 350 Longzihu Road, Xinzhan District, Hefei 230012, Anhui, PR China
| | - Jing Shao
- Laboratory of Anti-infection and Immunity, College of Integrated Chinese and Western Medicine (College of Life Science), Anhui University of Chinese Medicine, Zhijing Building, 350 Longzihu Road, Xinzhan District, Hefei 230012, Anhui, PR China; Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Zhijing Building, 350 Longzihu Road, Xinzhan District, Hefei 230012, Anhui, PR China.
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11
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Shin YJ, Lee JH. Exploring the Molecular and Developmental Dynamics of Endothelial Cell Differentiation. Int J Stem Cells 2024; 17:15-29. [PMID: 37879853 PMCID: PMC10899884 DOI: 10.15283/ijsc23086] [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: 06/11/2023] [Revised: 08/06/2023] [Accepted: 09/05/2023] [Indexed: 10/27/2023] Open
Abstract
The development and differentiation of endothelial cells (ECs) are fundamental processes with significant implications for both health and disease. ECs, which are found in all organs and blood vessels, play a crucial role in facilitating nutrient and waste exchange and maintaining proper vessel function. Understanding the intricate signaling pathways involved in EC development holds great promise for enhancing vascularization, tissue engineering, and vascular regeneration. Hematopoietic stem cells originating from hemogenic ECs, give rise to diverse immune cell populations, and the interaction between ECs and immune cells is vital for maintaining vascular integrity and regulating immune responses. Dysregulation of vascular development pathways can lead to various diseases, including cancer, where tumor-specific ECs promote tumor growth through angiogenesis. Recent advancements in single-cell genomics and in vivo genetic labeling have shed light on EC development, plasticity, and heterogeneity, uncovering tissue-specific gene expression and crucial signaling pathways. This review explores the potential of ECs in various applications, presenting novel opportunities for advancing vascular medicine and treatment strategies.
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Affiliation(s)
- Yu Jung Shin
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Jung Hyun Lee
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Dermatology, School of Medicine, University of Washington, Seattle, WA, USA
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12
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Mishra S, Knupp A, Kinoshita C, Williams CA, Rose SE, Martinez R, Theofilas P, Young JE. Pharmacologic enhancement of retromer rescues endosomal pathology induced by defects in the Alzheimer's gene SORL1. Stem Cell Reports 2023; 18:2434-2450. [PMID: 37949073 PMCID: PMC10724056 DOI: 10.1016/j.stemcr.2023.10.011] [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: 09/22/2022] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
The SORL1 gene (SORLA) is strongly associated with risk of developing Alzheimer's disease (AD). SORLA is a regulator of endosomal trafficking in neurons and interacts with retromer, a complex that is a "master conductor" of endosomal trafficking. Small molecules can increase retromer expression in vitro, enhancing its function. We treated hiPSC-derived cortical neurons that are either fully deficient, haploinsufficient, or that harbor one copy of SORL1 variants linked to AD with TPT-260, a retromer-enhancing molecule. We show significant increases in retromer subunit VPS26B expression. We tested whether endosomal, amyloid, and TAU pathologies were corrected. We observed that the degree of rescue by TPT-260 treatment depended on the number of copies of functional SORL1 and which SORL1 variant was expressed. Using a disease-relevant preclinical model, our work illuminates how the SORL1-retromer pathway can be therapeutically harnessed.
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Affiliation(s)
- Swati Mishra
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Allison Knupp
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Chizuru Kinoshita
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - C Andrew Williams
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Shannon E Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Refugio Martinez
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Panos Theofilas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA.
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13
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Nakamae K, Bono H. DANGER analysis: risk-averse on/off-target assessment for CRISPR editing without a reference genome. BIOINFORMATICS ADVANCES 2023; 3:vbad114. [PMID: 37661945 PMCID: PMC10469126 DOI: 10.1093/bioadv/vbad114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/11/2023] [Accepted: 08/22/2023] [Indexed: 09/05/2023]
Abstract
Motivation The CRISPR-Cas9 system has successfully achieved site-specific gene editing in organisms ranging from humans to bacteria. The technology efficiently generates mutants, allowing for phenotypic analysis of the on-target gene. However, some conventional studies did not investigate whether deleterious off-target effects partially affect the phenotype. Results Herein, we present a novel phenotypic assessment of CRISPR-mediated gene editing: Deleterious and ANticipatable Guides Evaluated by RNA-sequencing (DANGER) analysis. Using RNA-seq data, this bioinformatics pipeline can elucidate genomic on/off-target sites on mRNA-transcribed regions related to expression changes and then quantify phenotypic risk at the gene ontology term level. We demonstrated the risk-averse on/off-target assessment in RNA-seq data from gene-edited samples of human cells and zebrafish brains. Our DANGER analysis successfully detected off-target sites, and it quantitatively evaluated the potential contribution of deleterious off-targets to the transcriptome phenotypes of the edited mutants. Notably, DANGER analysis harnessed de novo transcriptome assembly to perform risk-averse on/off-target assessments without a reference genome. Thus, our resources would help assess genome editing in non-model organisms, individual human genomes, and atypical genomes from diseases and viruses. In conclusion, DANGER analysis facilitates the safer design of genome editing in all organisms with a transcriptome. Availability and implementation The Script for the DANGER analysis pipeline is available at https://github.com/KazukiNakamae/DANGER_analysis. In addition, the software provides a tutorial on reproducing the results presented in this article on the Readme page. The Docker image of DANGER_analysis is also available at https://hub.docker.com/repository/docker/kazukinakamae/dangeranalysis/general.
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Affiliation(s)
- Kazuki Nakamae
- Laboratory of Bio-DX, Genome Editing Innovation Center, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-0046, Japan
- Research and Development Department, PtBio Inc., 3-10-23 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-0046, Japan
| | - Hidemasa Bono
- Laboratory of Bio-DX, Genome Editing Innovation Center, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-0046, Japan
- Laboratory of Genome Informatics, Graduate School of Integrated Sciences for Life, Hiroshima University, 3-10-23 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-0046, Japan
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14
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Shin YJ, Evitts KM, Jin S, Howard C, Sharp-Milgrom M, Schwarze-Taufiq T, Kinoshita C, Young JE, Zheng Y. Amyloid beta peptides (Aβ) from Alzheimer's disease neuronal secretome induce endothelial activation in a human cerebral microvessel model. Neurobiol Dis 2023; 181:106125. [PMID: 37062307 PMCID: PMC11460993 DOI: 10.1016/j.nbd.2023.106125] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/19/2023] [Accepted: 04/12/2023] [Indexed: 04/18/2023] Open
Abstract
In Alzheimer's disease (AD), secretion and deposition of amyloid beta peptides (Aβ) have been associated with blood-brain barrier dysfunction. However, the role of Aβ in endothelial cell (EC) dysfunction remains elusive. Here we investigated AD mediated EC activation by studying the effect of Aβ secreted from human induced pluripotent stem cell-derived cortical neurons (hiPSC-CN) harboring a familial AD mutation (Swe+/+) on human brain microvascular endothelial cells (HBMECs) in 2D and 3D perfusable microvessels. We demonstrated that increased Aβ levels in Swe+/+ conditioned media (CM) led to stress fiber formation and upregulation of genes associated with endothelial inflammation and immune-adhesion. Perfusion of Aβ-rich Swe+/+ CM induced acute formation of von Willebrand factor (VWF) fibers in the vessel lumen, which was attenuated by reducing Aβ levels in CM. Our findings suggest that Aβ peptides can trigger rapid inflammatory and thrombogenic responses within cerebral microvessels, which may exacerbate AD pathology.
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Affiliation(s)
- Yu Jung Shin
- Department of Bioengineering, University of Washington, Seattle, WA 98109, United States of America; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America
| | - Kira M Evitts
- Department of Bioengineering, University of Washington, Seattle, WA 98109, United States of America; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America
| | - Solhee Jin
- Department of Bioengineering, University of Washington, Seattle, WA 98109, United States of America
| | - Caitlin Howard
- Department of Bioengineering, University of Washington, Seattle, WA 98109, United States of America; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America
| | - Margaret Sharp-Milgrom
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, United States of America
| | - Tiara Schwarze-Taufiq
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, United States of America
| | - Chizuru Kinoshita
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, United States of America
| | - Jessica E Young
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, United States of America.
| | - Ying Zheng
- Department of Bioengineering, University of Washington, Seattle, WA 98109, United States of America; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, United States of America.
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15
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Ahmed OY, Rossi M, Gagie T, Boucher C, Langmead B. SPUMONI 2: improved classification using a pangenome index of minimizer digests. Genome Biol 2023; 24:122. [PMID: 37202771 PMCID: PMC10197461 DOI: 10.1186/s13059-023-02958-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 05/03/2023] [Indexed: 05/20/2023] Open
Abstract
Genomics analyses use large reference sequence collections, like pangenomes or taxonomic databases. SPUMONI 2 is an efficient tool for sequence classification of both short and long reads. It performs multi-class classification using a novel sampled document array. By incorporating minimizers, SPUMONI 2's index is 65 times smaller than minimap2's for a mock community pangenome. SPUMONI 2 achieves a speed improvement of 3-fold compared to SPUMONI and 15-fold compared to minimap2. We show SPUMONI 2 achieves an advantageous mix of accuracy and efficiency in practical scenarios such as adaptive sampling, contamination detection and multi-class metagenomics classification.
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Affiliation(s)
- Omar Y. Ahmed
- Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - Massimiliano Rossi
- Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL USA
| | - Travis Gagie
- Faculty of Computer Science, Dalhousie University, Halifax, NS Canada
| | - Christina Boucher
- Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL USA
| | - Ben Langmead
- Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
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16
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Akpoviri FI, Baharum SN, Zainol ZA. Digital Sequence Information and the Access and Benefit-Sharing Obligation of the Convention on Biological Diversity. NANOETHICS 2023; 17:1. [PMID: 37008389 PMCID: PMC10043851 DOI: 10.1007/s11569-023-00436-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 01/25/2023] [Indexed: 06/19/2023]
Abstract
With the advent of synthetic biology, scientists are increasingly relying on digital sequence information, instead of physical genetic resources. This article examines the potential impact of this shift on the access and benefit-sharing (ABS) regime of the Convention on Biological Diversity (CBD) and the Nagoya Protocol. These treaties require benefit-sharing with the owners of genetic resources. However, whether "genetic resources" include digital sequence information is unsettled. The CBD conceives genetic resources as genetic material containing functional units of heredity. "Material" implies tangibility, and for some scholars, "functional units of heredity," undefined in both treaties, mean full-coding sequences. This article argues that digital sequence information obtained from physical genetic resources, full-coding or not, should be treated as genetic resources. Literal construction of the CBD risks eroding its usefulness and the ABS regime. This is because through bioinformatics, sequence information can easily be obtained from genetic resources for utilization, without physically moving them or concluding ABS agreement with owners. The CBD must evolve with scientific progress also because sequence functionality depends on the state of knowledge. These arguments are vindicated by domestic ABS laws equating genetic information with genetic resources; Nagoya Protocol provisions deeming research exploiting the genetic composition of genetic resources as utilization of genetic resources; and CBD provisions requiring the sharing of benefits from the utilization of genetic resources. Moreover, treaty interpretation and case law demand that generic, scientific terms, such as "genetic resources" and "functional units of heredity" be interpreted in an evolutionary manner to capture scientific developments.
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17
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Mahlke MA, Lumerman L, Ly P, Nechemia-Arbely Y. Epigenetic centromere identity is precisely maintained through DNA replication but is uniquely specified among human cells. Life Sci Alliance 2023; 6:e202201807. [PMID: 36596606 PMCID: PMC9811134 DOI: 10.26508/lsa.202201807] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/05/2023] Open
Abstract
Centromere identity is defined and maintained epigenetically by the presence of the histone variant CENP-A. How centromeric CENP-A position is specified and precisely maintained through DNA replication is not fully understood. The recently released Telomere-to-Telomere (T2T) genome assembly containing the first complete human centromere sequences provides a new resource for examining CENP-A position. Mapping CENP-A position in clones of the same cell line to the T2T assembly identified highly similar CENP-A position after multiple cell divisions. In contrast, centromeric CENP-A epialleles were evident at several centromeres of different human cell lines, demonstrating the location of CENP-A enrichment and the site of kinetochore recruitment vary among human cells. Across the cell cycle, CENP-A molecules deposited in G1 phase are maintained in their precise position through DNA replication. Thus, despite CENP-A dilution during DNA replication, CENP-A is precisely reloaded onto the same sequences within the daughter centromeres, maintaining unique centromere identity among human cells.
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Affiliation(s)
- Megan A Mahlke
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lior Lumerman
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter Ly
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yael Nechemia-Arbely
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
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18
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Hoehe MR, Herwig R. Analysis of 1276 Haplotype-Resolved Genomes Allows Characterization of Cis- and Trans-Abundant Genes. Methods Mol Biol 2023; 2590:237-272. [PMID: 36335503 DOI: 10.1007/978-1-0716-2819-5_15] [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] [Indexed: 06/16/2023]
Abstract
Many methods for haplotyping have materialized, but their application on a significant scale has been rare to date. Here we summarize analyses that were carried out in 1092 genomes from the 1000 Genomes Consortium and validated in an unprecedented number of 184 PGP genomes that have been experimentally haplotype-resolved by application of the Long-Fragment Read (LFR) technology. These analyses provided first insights into the diplotypic nature of human genomes and its potential functional implications. Thus, protein-changing variants were not randomly distributed between the two homologues of 18,121 autosomal protein-coding genes but occurred significantly more frequently in cis than in trans configurations in virtually each of the 1276 phased genomes. This resulted in global cis/trans ratios of ~60:40, establishing "cis abundance" as a universal characteristic of diploid human genomes. This phenomenon was based on two different classes of genes, a larger one exhibiting cis configurations of protein-changing variants in excess, so-called "cis-abundant" genes, and a smaller one of "trans-abundant" genes. These two gene classes, which together constitute a common diplotypic exome, were further functionally distinguished by means of gene ontology (GO) and pathway enrichment analysis. Moreover, they were distinguishable in terms of their effects on the human interactome, where they constitute distinct cis and trans modules, as shown with network propagation on a large integrated protein-protein interaction network. These analyses, recently performed with updated database and analysis tools, further consolidated the characterization of cis- and trans-abundant genes while expanding previous results. In this chapter, we present the key results along with the materials and methods to motivate readers to investigate these findings independently and gain further insights into the diplotypic nature of genes and genomes.
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Affiliation(s)
- Margret R Hoehe
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
| | - Ralf Herwig
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
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19
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Bansal V. HapCUT2: A Method for Phasing Genomes Using Experimental Sequence Data. Methods Mol Biol 2023; 2590:139-147. [PMID: 36335497 DOI: 10.1007/978-1-0716-2819-5_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Rapid advances in high-throughput DNA sequencing technologies have enabled variant discovery from whole-genome sequencing (WGS) datasets; however linking variants on a chromosome together into haplotypes, also known as haplotype phasing, remains difficult. Human genomes are diploid and haplotype phasing is crucial for the complete interpretation and analysis of genetic variation.Hapcut2 ( https://github.com/vibansal/HapCUT2 ) is an open-source software for phasing diploid genomes using sequence data generated using different sequencing technologies and experimental methods. In this article, we give an overview of the algorithm used by Hapcut2 and describe how to use Hapcut2 for haplotype phasing of individual genomes using different types of sequence data.
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Affiliation(s)
- Vikas Bansal
- School of Medicine, University of California San Diego, La Jolla, CA, USA.
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20
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Alam K, Zhao Y, Lu X, Gong K, Zhong L, Hao J, Islam MM, Islam S, Li G, Zhang Y, Li R, Li A. Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites. BMC Microbiol 2022; 22:323. [PMID: 36581815 PMCID: PMC9801586 DOI: 10.1186/s12866-022-02692-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 11/04/2022] [Indexed: 12/31/2022] Open
Abstract
Recent years, Burkholderia species have emerged as a new source of natural products (NPs) with increasing attractions. Genome mining suggests the Burkholderia genomes include many natural product biosynthetic gene clusters (BGCs) which are new targets for drug discovery. In order to collect more Burkholderia, here, a strain S-53 was isolated from the soil samples on a mountain area in Changde, P.R. China and verified by comparative genetic analysis to belong to Burkholderia. The complete genome of Burkholderia strain S-53 is 8.2 Mbps in size with an average G + C content of 66.35%. Its taxonomy was both characterized by 16S rRNA- and whole genome-based phylogenetic trees. Bioinformatic prediction in silico revealed it has a total of 15 NP BGCs, some of which may encode unknown products. It is expectable that availability of these BGCs will speed up the identification of new secondary metabolites from Burkholderia and help us understand how sophisticated BGC regulation works.
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Affiliation(s)
- Khorshed Alam
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Yiming Zhao
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Xuefei Lu
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Kai Gong
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Lin Zhong
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Jinfang Hao
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Md. Mahmudul Islam
- Department of Microbiology, Rajshahi Institute of Biosciences (RIB), Affi. University of Rajshahi, Rajshahi, 6212 Bangladesh
| | - Saiful Islam
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Chattogram Laboratories, Chattogram, 4220 Bangladesh
| | - Geng Li
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Youming Zhang
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Ruijuan Li
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
| | - Aiying Li
- Helmholtz International Lab for Anti-Infectives, State Key Laboratory of Microbial Technology, Shandong University-Helmholtz Institute of Biotechnology, Shandong University, Qingdao, 266237 People’s Republic of China
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21
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Rerkasem A, Nantakool S, Wilson BC, Mangklabruks A, Boonyapranai K, Mutirangura A, Derraik JGB, Rerkasem K. Associations between maternal plasma zinc concentrations in late pregnancy and LINE-1 and Alu methylation loci in the young adult offspring. PLoS One 2022; 17:e0279630. [PMID: 36584155 PMCID: PMC9803117 DOI: 10.1371/journal.pone.0279630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 12/12/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND In animal models, prenatal zinc deficiency induced epigenetic changes in the fetus, but data in humans are lacking. We aimed to examine associations between maternal zinc levels during pregnancy and DNA methylation in LINE-1 and Alu repetitive sequences in young adult offspring, as well as anthropometry and cardiometabolic parameters. METHODS Participants were 74 pregnant women from the Chiang Mai Low Birth Weight cohort, and their offspring followed up at 20 years of age. Maternal plasma zinc concentrations were measured at approximately 36 weeks of gestation. DNA methylation levels in LINE-1 and Alu repetitive sequences were measured in the offspring, as well as anthropometry and cardiometabolic parameters (lipid profile, blood pressure, and glucose metabolism). RESULTS Over half of mothers (39/74; 53%) were zinc deficient (<50 μg/dL) during their third trimester of pregnancy. Maternal zinc concentrations during pregnancy were associated with LINE-1 DNA methylation levels in adult offspring. Specifically, lower prenatal zinc concentrations were associated with: 1) lower levels of total LINE-1 methylation; 2) lower levels of LINE-1 hypermethylation loci; and 3) higher levels of LINE-1 partial methylation loci. Prenatal zinc concentrations were not associated with Alu methylation levels, nor with any anthropometric or cardiometabolic parameters in adult offspring. However, we observed associations between Alu and LINE-1 methylation patterns and cardiometabolic outcomes in offspring, namely total cholesterol levels and diastolic blood pressure, respectively. CONCLUSIONS Lower maternal zinc concentrations late in gestation were associated with changes in DNA methylation in later life. Thus, zinc deficiency during pregnancy may induce alterations in total LINE-1 methylation and LINE-1 hypermethylation loci. These results suggest a possible epigenetic link between zinc deficiency during pregnancy and long-term outcomes in the offspring.
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Affiliation(s)
- Amaraporn Rerkasem
- Environmental—Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Sothida Nantakool
- Environmental—Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Brooke C. Wilson
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Ampica Mangklabruks
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kongsak Boonyapranai
- Environmental—Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Apiwat Mutirangura
- Center of Excellence of Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - José G. B. Derraik
- Environmental—Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
- Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- * E-mail: (KR); (JGBD)
| | - Kittipan Rerkasem
- Environmental—Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
- Clinical Surgical Research Centre, Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- * E-mail: (KR); (JGBD)
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22
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Wu L, Xie X, Li Y, Liang T, Zhong H, Yang L, Xi Y, Zhang J, Ding Y, Wu Q. Gut microbiota as an antioxidant system in centenarians associated with high antioxidant activities of gut-resident Lactobacillus. NPJ Biofilms Microbiomes 2022; 8:102. [PMID: 36564415 PMCID: PMC9789086 DOI: 10.1038/s41522-022-00366-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 12/08/2022] [Indexed: 12/25/2022] Open
Abstract
The gut microbiota plays an important role in human health and longevity, and the gut microbiota of centenarians shows unique characteristics. Nowadays, most microbial research on longevity is usually limited to the bioinformatics level, lacking validating information on culturing functional microorganisms. Here, we combined metagenomic sequencing and large-scale in vitro culture to reveal the unique gut microbial structure of the world's longevity town-Jiaoling, China, centenarians and people of different ages. Functional strains were isolated and screened in vitro, and the possible relationship between gut microbes and longevity was explored and validated in vivo. 247 healthy Cantonese natives of different ages participated in the study, including 18 centenarians. Compared with young adults, the gut microbiota of centenarians exhibits higher microbial diversity, xenobiotics biodegradation and metabolism, oxidoreductases, and multiple species (the potential probiotics Lactobacillus, Akkermansia, the methanogenic Methanobrevibacter, gut butyrate-producing members Roseburia, and SCFA-producing species uncl Clostridiales, uncl Ruminococcaceae) known to be beneficial to host metabolism. These species are constantly changing with age. We also isolated 2055 strains from these samples by large-scale in vitro culture, most of which were detected by metagenomics, with clear complementarity between the two approaches. We also screened an age-related gut-resident Lactobacillus with independent intellectual property rights, and its metabolite (L-ascorbic acid) and itself have good antioxidant effects. Our findings underscore the existence of age-related trajectories in the human gut microbiota, and that distinct gut microbiota and gut-resident as antioxidant systems may contribute to health and longevity.
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Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
- The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong, China
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Ying Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Haojie Zhong
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
- The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong, China
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou, Guangdong, China.
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China.
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23
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Trost B, Thiruvahindrapuram B, Chan AJS, Engchuan W, Higginbotham EJ, Howe JL, Loureiro LO, Reuter MS, Roshandel D, Whitney J, Zarrei M, Bookman M, Somerville C, Shaath R, Abdi M, Aliyev E, Patel RV, Nalpathamkalam T, Pellecchia G, Hamdan O, Kaur G, Wang Z, MacDonald JR, Wei J, Sung WWL, Lamoureux S, Hoang N, Selvanayagam T, Deflaux N, Geng M, Ghaffari S, Bates J, Young EJ, Ding Q, Shum C, D'Abate L, Bradley CA, Rutherford A, Aguda V, Apresto B, Chen N, Desai S, Du X, Fong MLY, Pullenayegum S, Samler K, Wang T, Ho K, Paton T, Pereira SL, Herbrick JA, Wintle RF, Fuerth J, Noppornpitak J, Ward H, Magee P, Al Baz A, Kajendirarajah U, Kapadia S, Vlasblom J, Valluri M, Green J, Seifer V, Quirbach M, Rennie O, Kelley E, Masjedi N, Lord C, Szego MJ, Zawati MH, Lang M, Strug LJ, Marshall CR, Costain G, Calli K, Iaboni A, Yusuf A, Ambrozewicz P, Gallagher L, Amaral DG, Brian J, Elsabbagh M, Georgiades S, Messinger DS, Ozonoff S, Sebat J, Sjaarda C, Smith IM, Szatmari P, Zwaigenbaum L, Kushki A, Frazier TW, Vorstman JAS, Fakhro KA, Fernandez BA, Lewis MES, Weksberg R, Fiume M, Yuen RKC, Anagnostou E, Sondheimer N, Glazer D, Hartley DM, Scherer SW. Genomic architecture of autism from comprehensive whole-genome sequence annotation. Cell 2022; 185:4409-4427.e18. [PMID: 36368308 PMCID: PMC10726699 DOI: 10.1016/j.cell.2022.10.009] [Citation(s) in RCA: 85] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/30/2022] [Accepted: 10/07/2022] [Indexed: 11/11/2022]
Abstract
Fully understanding autism spectrum disorder (ASD) genetics requires whole-genome sequencing (WGS). We present the latest release of the Autism Speaks MSSNG resource, which includes WGS data from 5,100 individuals with ASD and 6,212 non-ASD parents and siblings (total n = 11,312). Examining a wide variety of genetic variants in MSSNG and the Simons Simplex Collection (SSC; n = 9,205), we identified ASD-associated rare variants in 718/5,100 individuals with ASD from MSSNG (14.1%) and 350/2,419 from SSC (14.5%). Considering genomic architecture, 52% were nuclear sequence-level variants, 46% were nuclear structural variants (including copy-number variants, inversions, large insertions, uniparental isodisomies, and tandem repeat expansions), and 2% were mitochondrial variants. Our study provides a guidebook for exploring genotype-phenotype correlations in families who carry ASD-associated rare variants and serves as an entry point to the expanded studies required to dissect the etiology in the ∼85% of the ASD population that remain idiopathic.
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Affiliation(s)
- Brett Trost
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | | | - Ada J S Chan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Worrawat Engchuan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Edward J Higginbotham
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Jennifer L Howe
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Livia O Loureiro
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Miriam S Reuter
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; CGEn, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Delnaz Roshandel
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Joe Whitney
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Mehdi Zarrei
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | | | - Cherith Somerville
- Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Rulan Shaath
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Mona Abdi
- Department of Human Genetics, Sidra Medicine, Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Elbay Aliyev
- Department of Human Genetics, Sidra Medicine, Doha, Qatar
| | - Rohan V Patel
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Thomas Nalpathamkalam
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Giovanna Pellecchia
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Omar Hamdan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Gaganjot Kaur
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Zhuozhi Wang
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Jeffrey R MacDonald
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - John Wei
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Wilson W L Sung
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sylvia Lamoureux
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Ny Hoang
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Autism Research Unit, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Genetic Counselling, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Thanuja Selvanayagam
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Autism Research Unit, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Genetic Counselling, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Nicole Deflaux
- Verily Life Sciences, South San Francisco, CA 94080, USA
| | - Melissa Geng
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Siavash Ghaffari
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - John Bates
- Verily Life Sciences, South San Francisco, CA 94080, USA
| | - Edwin J Young
- Genome Diagnostics, Department of Paediatric Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Laboratory Medicine and Pathobiology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Qiliang Ding
- Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Carole Shum
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Lia D'Abate
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Clarrisa A Bradley
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Annabel Rutherford
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Vernie Aguda
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Beverly Apresto
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Nan Chen
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sachin Desai
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Xiaoyan Du
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Matthew L Y Fong
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sanjeev Pullenayegum
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Kozue Samler
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Ting Wang
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Karen Ho
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Tara Paton
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sergio L Pereira
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Jo-Anne Herbrick
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Richard F Wintle
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | | | | | | | | | | | | | | | | | | | | | | | | | - Olivia Rennie
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen's University, Kingston, ON K7L 3N6, Canada; Department of Psychiatry, Queen's University, Kingston, ON K7L 7X3, Canada
| | - Nina Masjedi
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Catherine Lord
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Michael J Szego
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, ON M5G 1V7, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Ma'n H Zawati
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
| | - Michael Lang
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
| | - Lisa J Strug
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Statistical Sciences, University of Toronto, Toronto, ON M5S 3G3, Canada
| | - Christian R Marshall
- Genome Diagnostics, Department of Paediatric Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Gregory Costain
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Pediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Kristina Calli
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada; BC Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Alana Iaboni
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON M4G 1R8, Canada
| | - Afiqah Yusuf
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Patricia Ambrozewicz
- Autism Research Unit, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Psychology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Louise Gallagher
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin 2, Ireland; Department of Psychiatry, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Child, Youth and Family Services, The Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - David G Amaral
- MIND Institute, University of California, Davis, Sacramento, CA 95817, USA; Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA 95817, USA
| | - Jessica Brian
- Department of Pediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada; Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON M4G 1R8, Canada
| | - Mayada Elsabbagh
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Stelios Georgiades
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON L8N 3K7, Canada
| | | | - Sally Ozonoff
- MIND Institute, University of California, Davis, Sacramento, CA 95817, USA; Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA 95817, USA
| | - Jonathan Sebat
- Department of Psychiatry and Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Calvin Sjaarda
- Department of Psychiatry, Queen's University, Kingston, ON K7L 7X3, Canada; Queen's Genomics Lab at Ongwanada, Queen's University, Kingston, ON K7M 8A6, Canada
| | - Isabel M Smith
- Department of Pediatrics, Dalhousie University, Halifax, NS B3H 4R2, Canada; IWK Health Centre, Halifax, NS B3K 6R8, Canada
| | - Peter Szatmari
- Department of Psychiatry, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Azadeh Kushki
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON M4G 1R8, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada
| | - Thomas W Frazier
- Autism Speaks, Princeton, NJ 08540, USA; Department of Psychology, John Carroll University, Cleveland, OH 44118, USA
| | - Jacob A S Vorstman
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Khalid A Fakhro
- Department of Human Genetics, Sidra Medicine, Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar; Department of Genetic Medicine, Weill Cornell Medical College in Qatar, Doha, Qatar
| | - Bridget A Fernandez
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA; Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA
| | - M E Suzanne Lewis
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada; BC Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Rosanna Weksberg
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Department of Pediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | | | - Ryan K C Yuen
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Evdokia Anagnostou
- Department of Pediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada; Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON M4G 1R8, Canada
| | - Neal Sondheimer
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Pediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - David Glazer
- Verily Life Sciences, South San Francisco, CA 94080, USA
| | | | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; McLaughlin Centre, Toronto, ON M5G 0A4, Canada.
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24
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Mazrouee S. ARHap: Association Rule Haplotype Phasing. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:3281-3294. [PMID: 34648456 DOI: 10.1109/tcbb.2021.3119955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This article proposes a novel approach for Individual Human phasing through discovery of interesting hidden relations among single variant sites. The proposed framework, called ARHap, learns strong association rules among variant loci on the genome and develops a combinatorial approach for fast and accurate haplotype phasing based on the discovered associations. ARHap is composed of two main modules or processing phases. In the first phase, called association rule learning, ARHap identifies quantitative association rules from a collection of DNA reads of the organism under study, resulting in a set of strong rules that reveal the inter-dependency of alleles. In the next phase, called haplotype reconstruction, we develop algorithms to utilize the learned rules to construct highly reliable haplotypes at individual single nucleotide polymorphism (SNP) sites. ARHap has several features that lead to both fast and accurate haplotyping. It uses an incremental haplotype reconstruction approach that enables us to generate association rules according to the unreconstructed SNP sites during each round of the algorithm. During each round, the association rule learning module generates rules while constraining the length of the rules and limiting the rules to those that contribute to reconstruction of unreconstructed sites only. The framework begins by generating rules of small size and highly strong. The rule length can increase and/or criteria about strongness of the rule are adjusted gradually, during subsequent rounds, if some SNP sites have remained unreconstructed. This adaptive approach, which uses feedback from haplotype reconstruction module, eliminates generation of rules that do not contribute to haplotype reconstruction as well as weak rules that may introduce error in the final haplotypes. Extensive experimental analyses on datasets representing diploid organisms demonstrate superiority of ARHap in diploid haplotyping compared to the state-of-the-art algorithms. In particular, we show that this novel approach to haplotype phasing not only is fast but also achieves significantly better accuracy performance compared to other read-based computational approaches.
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25
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Chaiwongkot A, Buranapraditkun S, Chujan S, Kitkumthorn N. LINE-1 and Alu Methylation in hrHPV-Associated Precancerous Cervical Samples. Asian Pac J Cancer Prev 2022; 23:3443-3448. [PMID: 36308370 PMCID: PMC9924340 DOI: 10.31557/apjcp.2022.23.10.3443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Indexed: 02/18/2023] Open
Abstract
OBJECTIVE This study was conducted to determine global DNA methylation patterns in cervical cells cytologically identified as atypical squamous cells of unknown significance (ASCUS) with a normal, LSIL, or HSIL histopathological result. METHODS Methylation patterns of long interspersed nuclear elements (LINE-1) and short interspersed element (Alu) sequences were assessed using the combined bisulfite restriction analysis (COBRA) method in cervical samples with cytology-diagnosed cervical lesions. RESULTS In cervical precancerous lesions with hrHPV positive, the percentage of overall (mC) and mCmC LINE-1 methylation levels showed a stepwise increase from hrHPV positive normal to HSIL with significant differences (p<0.001). However, both methylation levels were significantly higher in hrHPV negative normal than in hrHPV positive normal (p<0.001). The overall (mC) Alu methylation in hrHPV positive LSIL and HSIL was lower than in hrHPV positive normal, with a significant difference (p<0.05). Remarkably, the percentage of uCmC and mCuC of LINE-1 and Alu in three different hrHPV positive cervical lesions showed a stepwise decrease from hrHPV positive normal, LSIL and HSIL, respectively. Furthermore, receiver operating characteristic (ROC) curve analyses revealed that the LINE-1 mC and mCmC patterns have high sensitivity and specificity for distinguishing HSIL from normal/LSIL in hrHPV positive cases at the appropriate cutoff levels. CONCLUSION We have demonstrated the LINE-1 and Alu methylation data in normal and premalignant cervical epithelia. LINE-1 hypomethylation was found in hrHPV positive normal cells, with lower methylation levels associated with cancer features. In cytologically diagnosed Atypical Squamous Cells of Unknown Significance (ASCUS), the levels of mC and the mCmC pattern could be utilized in concert with hrHPV detection to classify the ASCUS sample prior to colposcopy.
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Affiliation(s)
- Arkom Chaiwongkot
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand. ,Center of Excellence in Applied Medical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Supranee Buranapraditkun
- Division of Allergy and Clinical Immunology, Department of Medicine, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Thai Red Cross Society, Bangkok 10330, Thailand. ,Center of Excellence in Vaccine Research and Development (Chula Vaccine Research Center-Chula VRC), Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand. ,Thai Pediatric Gastroenterology, Hepatology and Immunology (TPGHAI) Research Unit King.
| | - Suthipong Chujan
- Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, The Thai Red Cross Society, Bangkok 10330, Thailand..
| | - Nakarin Kitkumthorn
- Department of Oral Biology, Faculty of Dentistry, Mahidol University, Bangkok 10400, Thailand. ,For Correspondence:
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26
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Zhang Z, Peng M, Wen Y, Chai Y, Liang J, Yang P, Liu X, Li J, Huang Y, Li L, Huang W, Qi Z, Yang G, Chen F, Shi Q, Li Z, Ru B, Lei C, Wang E, Huang Y. Copy number variation of
EIF4A2
loci related to phenotypic traits in Chinese cattle. Vet Med Sci 2022; 8:2147-2156. [PMID: 36052549 PMCID: PMC9514498 DOI: 10.1002/vms3.875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Mengyang Peng
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Yifan Wen
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Yanan Chai
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Juntong Liang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Peng Yang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Xian Liu
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Jungang Li
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Yajun Huang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Lijuan Li
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Weihong Huang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Zengfang Qi
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Guojie Yang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Fuying Chen
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Qiaoting Shi
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Chuzhao Lei
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
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27
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Abstract
Genetic diseases disrupt the functionality of an infant's genome during fetal-neonatal adaptation and represent a leading cause of neonatal and infant mortality in the United States. Due to disease acuity, gene locus and allelic heterogeneity, and overlapping and diverse clinical phenotypes, diagnostic genome sequencing in neonatal intensive care units has required the development of methods to shorten turnaround times and improve genomic interpretation. From 2012 to 2021, 31 clinical studies documented the diagnostic and clinical utility of first-tier rapid or ultrarapid whole-genome sequencing through cost-effective identification of pathogenic genomic variants that change medical management, suggest new therapeutic strategies, and refine prognoses. Genomic diagnosis also permits prediction of reproductive recurrence risk for parents and surviving probands. Using implementation science and quality improvement, deployment of a genomic learning healthcare system will contribute to a reduction of neonatal and infant mortality through the integration of genome sequencing into best-practice neonatal intensive care.
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Affiliation(s)
- Stephen F. Kingsmore
- Rady Children’s Hospital Institute for Genomic Medicine, Rady Children’s Hospital-San Diego
| | - F. Sessions Cole
- Division of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St. Louis
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28
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Löytynoja A. Thousands of human mutation clusters are explained by short-range template switching. Genome Res 2022; 32:1437-1447. [PMID: 35760560 PMCID: PMC9435742 DOI: 10.1101/gr.276478.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 06/21/2022] [Indexed: 02/03/2023]
Abstract
Variation within human genomes is unevenly distributed, and variants show spatial clustering. DNA replication-related template switching is a poorly known mutational mechanism capable of causing major chromosomal rearrangements as well as creating short inverted sequence copies that appear as local mutation clusters in sequence comparisons. In this study, haplotype-resolved genome assemblies representing 25 human populations and multinucleotide variants aggregated from 140,000 human sequencing experiments were reanalyzed. Local template switching could explain thousands of complex mutation clusters across the human genome, the loci segregating within and between populations. During the study, computational tools were developed for identification of template switch events using both short-read sequencing data and genotype data, and for genotyping candidate loci using short-read data. The characteristics of template-switch mutations complicate their detection, and widely used analysis pipelines for short-read sequencing data, normally capable of identifying single nucleotide changes, were found to miss template-switch mutations of tens of base pairs, potentially invalidating medical genetic studies searching for a causative allele behind genetic diseases. Combined with the massive sequencing data now available for humans, the novel tools described here enable building catalogs of affected loci and studying the cellular mechanisms behind template switching in both healthy organisms and disease.
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Affiliation(s)
- Ari Löytynoja
- Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland
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29
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A classical revival: Human satellite DNAs enter the genomics era. Semin Cell Dev Biol 2022; 128:2-14. [PMID: 35487859 DOI: 10.1016/j.semcdb.2022.04.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 12/30/2022]
Abstract
The classical human satellite DNAs, also referred to as human satellites 1, 2 and 3 (HSat1, HSat2, HSat3, or collectively HSat1-3), occur on most human chromosomes as large, pericentromeric tandem repeat arrays, which together constitute roughly 3% of the human genome (100 megabases, on average). Even though HSat1-3 were among the first human DNA sequences to be isolated and characterized at the dawn of molecular biology, they have remained almost entirely missing from the human genome reference assembly for 20 years, hindering studies of their sequence, regulation, and potential structural roles in the nucleus. Recently, the Telomere-to-Telomere Consortium produced the first truly complete assembly of a human genome, paving the way for new studies of HSat1-3 with modern genomic tools. This review provides an account of the history and current understanding of HSat1-3, with a view towards future studies of their evolution and roles in health and disease.
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30
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Yao H, Hu G, Liu S, Fang H, Ji Y. SparkGC: Spark based genome compression for large collections of genomes. BMC Bioinformatics 2022; 23:297. [PMID: 35879669 PMCID: PMC9310413 DOI: 10.1186/s12859-022-04825-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/06/2022] [Indexed: 11/23/2022] Open
Abstract
Since the completion of the Human Genome Project at the turn of the century, there has been an unprecedented proliferation of sequencing data. One of the consequences is that it becomes extremely difficult to store, backup, and migrate enormous amount of genomic datasets, not to mention they continue to expand as the cost of sequencing decreases. Herein, a much more efficient and scalable program to perform genome compression is required urgently. In this manuscript, we propose a new Apache Spark based Genome Compression method called SparkGC that can run efficiently and cost-effectively on a scalable computational cluster to compress large collections of genomes. SparkGC uses Spark’s in-memory computation capabilities to reduce compression time by keeping data active in memory between the first-order and second-order compression. The evaluation shows that the compression ratio of SparkGC is better than the best state-of-the-art methods, at least better by 30%. The compression speed is also at least 3.8 times that of the best state-of-the-art methods on only one worker node and scales quite well with the number of nodes. SparkGC is of significant benefit to genomic data storage and transmission. The source code of SparkGC is publicly available at https://github.com/haichangyao/SparkGC.
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Affiliation(s)
- Haichang Yao
- School of Computer and Software, Nanjing Vocational University of Industry Technology, Nanjing, 210023, China
| | - Guangyong Hu
- School of Computer and Software, Nanjing Vocational University of Industry Technology, Nanjing, 210023, China
| | - Shangdong Liu
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Houzhi Fang
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Yimu Ji
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China. .,Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing, 210003, China. .,Institute of High Performance Computing and Bigdata, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
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31
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He Q, Tang L. Sub-5 nm nanogap electrodes towards single-molecular biosensing. Biosens Bioelectron 2022; 213:114486. [PMID: 35749816 DOI: 10.1016/j.bios.2022.114486] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 11/02/2022]
Abstract
Nanogap electrodes (NGEs) with sub-5 nm gap has been widely used in single-molecule sensing and sequencing, with the characteristics of label-free, high sensitivity, rapid detection and low-cost. However, the fabrication of sub-5 nm gap electrodes with high controllability and reproducibility still remains a great challenge that impedes the experimental research and the commercialization of the nanogap device. Here, we review the common currently used fabrication methods of nanogap electrodes, such as gap narrowing deposition, mechanical controllable break junctions and the fabrication methods combined with nanopore or nanochannel. We then highlight the typical applications of nanogap electrodes in biological/chemical sensing fields, including single molecule recognition, single molecule sequencing and chemical kinetics analysis. Finally, the challenges of nanogap electrodes in single molecule sensing/sequencing are outlined and the future directions for sensing perspectives are suggested.
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Affiliation(s)
- Qiuxiang He
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Longhua Tang
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
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32
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El Hadi C, Ayoub G, Bachir Y, Haykal M, Jalkh N, Kourie HR. Polygenic and Network-Based Studies in Risk Identification and Demystification of cancer. Expert Rev Mol Diagn 2022; 22:427-438. [PMID: 35400274 DOI: 10.1080/14737159.2022.2065195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Diseases were initially thought to be the consequence of a single gene mutation. Advances in DNA sequencing tools and our understanding of gene behavior have revealed that complex diseases, such as cancer, are the product of genes cooperating with each other and with their environment in orchestrated communication networks. Seeing that the function of individual genes is still used to analyze cancer, the shift to using functionally interacting groups of genes as a new unit of study holds promise for demystifying cancer. AREAS COVERED The literature search focused on three types of cancer, namely breast, lung, and prostate, but arguments from other cancers were also included. The aim was to prove that multigene analyses can accurately predict and prognosticate cancer risk, subtype cancer for more personalized and effective treatments, and discover anti-cancer therapies. Computational intelligence is being harnessed to analyze this type of data and is proving indispensable to scientific progress. EXPERT OPINION In the future, comprehensive profiling of all kinds of patient data (e.g., serum molecules, environmental exposures) can be used to build universal networks that should help us elucidate the molecular mechanisms underlying diseases and provide appropriate preventive measures, ensuring lifelong health and longevity.
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Affiliation(s)
| | - George Ayoub
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Yara Bachir
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Michèle Haykal
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Nadine Jalkh
- Medical Genetics Unit, Technology and Health division, Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Hampig Raphael Kourie
- Department of Hematology-Oncology, Hotel Dieu de France University Hospital, Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
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33
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Giles Doran C, Pennington SR. Copy number alteration signatures as biomarkers in cancer: a review. Biomark Med 2022; 16:371-386. [PMID: 35195030 DOI: 10.2217/bmm-2021-0476] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Within certain cancers, extensive copy number alterations (CNAs) contribute to a complex and heterogenic genomic profile. This makes it difficult to understand and unravel the distinct molecular dynamics shaping the disease while preventing clinically effective patient stratification. CNA signature analysis represents a novel genomic stratification tool for probing this complexity, offering an intricate framework for deriving CNA patterns at the molecular level. This allows the underlying genomic mechanisms of specific cancers to be revealed, leading to the potential identification of therapeutic targets and prognostic associations. This review outlines the molecular and methodological basis of CNA signatures and focuses on recent advances highlighting their clinical utility, limitations and prospective future as novel diagnostic and prognostic cancer biomarkers.
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Affiliation(s)
- Conor Giles Doran
- UCD Conway Institute, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - Stephen R Pennington
- UCD Conway Institute, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
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34
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Altemose N, Glennis A, Bzikadze AV, Sidhwani P, Langley SA, Caldas GV, Hoyt SJ, Uralsky L, Ryabov FD, Shew CJ, Sauria MEG, Borchers M, Gershman A, Mikheenko A, Shepelev VA, Dvorkina T, Kunyavskaya O, Vollger MR, Rhie A, McCartney AM, Asri M, Lorig-Roach R, Shafin K, Aganezov S, Olson D, de Lima LG, Potapova T, Hartley GA, Haukness M, Kerpedjiev P, Gusev F, Tigyi K, Brooks S, Young A, Nurk S, Koren S, Salama SR, Paten B, Rogaev EI, Streets A, Karpen GH, Dernburg AF, Sullivan BA, Straight AF, Wheeler TJ, Gerton JL, Eichler EE, Phillippy AM, Timp W, Dennis MY, O'Neill RJ, Zook JM, Schatz MC, Pevzner PA, Diekhans M, Langley CH, Alexandrov IA, Miga KH. Complete genomic and epigenetic maps of human centromeres. Science 2022; 376:eabl4178. [PMID: 35357911 PMCID: PMC9233505 DOI: 10.1126/science.abl4178] [Citation(s) in RCA: 203] [Impact Index Per Article: 101.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Existing human genome assemblies have almost entirely excluded repetitive sequences within and near centromeres, limiting our understanding of their organization, evolution, and functions, which include facilitating proper chromosome segregation. Now, a complete, telomere-to-telomere human genome assembly (T2T-CHM13) has enabled us to comprehensively characterize pericentromeric and centromeric repeats, which constitute 6.2% of the genome (189.9 megabases). Detailed maps of these regions revealed multimegabase structural rearrangements, including in active centromeric repeat arrays. Analysis of centromere-associated sequences uncovered a strong relationship between the position of the centromere and the evolution of the surrounding DNA through layered repeat expansions. Furthermore, comparisons of chromosome X centromeres across a diverse panel of individuals illuminated high degrees of structural, epigenetic, and sequence variation in these complex and rapidly evolving regions.
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Affiliation(s)
- Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - A. Glennis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Andrey V. Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
| | - Pragya Sidhwani
- Department of Biochemistry, Stanford University, Stanford, CA, USA
| | - Sasha A. Langley
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Gina V. Caldas
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Savannah J. Hoyt
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Lev Uralsky
- Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Moscow, Russia
| | | | - Colin J. Shew
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA
| | | | | | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | | | - Tatiana Dvorkina
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Olga Kunyavskaya
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ann M. McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ryan Lorig-Roach
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Sergey Aganezov
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel Olson
- Department of Computer Science, University of Montana, Missoula, MT. USA
| | | | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Gabrielle A. Hartley
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Fedor Gusev
- Vavilov Institute of General Genetics, Moscow, Russia
| | - Kristof Tigyi
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Shelise Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alice Young
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sofie R. Salama
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, CA, USA
| | - Evgeny I. Rogaev
- Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Moscow, Russia
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Aaron Streets
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Gary H. Karpen
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- BioEngineering and BioMedical Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Abby F. Dernburg
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
| | - Beth A. Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | | | - Travis J. Wheeler
- Department of Computer Science, University of Montana, Missoula, MT. USA
| | - Jennifer L. Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical School, Department of Biochemistry and Molecular Biology and Cancer Center, University of Kansas, Kansas City, KS, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Rachel J. O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Justin M. Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel A. Pevzner
- Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Charles H. Langley
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Ivan A. Alexandrov
- Vavilov Institute of General Genetics, Moscow, Russia
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
- Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, CA, USA
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35
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Abstract
The complete, ungapped sequence of the short arms of human acrocentric chromosomes (SAACs) is still unknown almost 20 years after the near completion of the Human Genome Project. Yet these short arms of Chromosomes 13, 14, 15, 21, and 22 contain the ribosomal DNA (rDNA) genes, which are of paramount importance for human biology. The sequences of SAACs show an extensive variation in the copy number of the various repetitive elements, the full extent of which is currently unknown. In addition, the full spectrum of repeated sequences, their organization, and the low copy number functional elements are also unknown. The Telomere-to-Telomere (T2T) Project using mainly long-read sequence technology has recently completed the assembly of the genome from a hydatidiform mole, CHM13, and has thus established a baseline reference for further studies on the organization, variation, functional annotation, and impact in human disorders of all the previously unknown genomic segments, including the SAACs. The publication of the initial results of the T2T Project will update and improve the reference genome for a better understanding of the evolution and function of the human genome.
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Affiliation(s)
- Stylianos E Antonarakis
- Department of Genetic Medicine and Development, University of Geneva Medical Faculty, 1211 Geneva, Switzerland
- Foundation Campus Biotech, 1202 Geneva, Switzerland
- Medigenome, Swiss Institute of Genomic Medicine, 1207 Geneva, Switzerland
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36
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Kim HS, Jeon S, Kim Y, Kim C, Bhak J, Bhak J. KOREF_S1: phased, parental trio-binned Korean reference genome using long reads and Hi-C sequencing methods. Gigascience 2022; 11:giac022. [PMID: 35333300 PMCID: PMC8952264 DOI: 10.1093/gigascience/giac022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 12/10/2021] [Accepted: 02/13/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND KOREF is the Korean reference genome, which was constructed with various sequencing technologies including long reads, short reads, and optical mapping methods. It is also the first East Asian multiomic reference genome accompanied by extensive clinical information, time-series and multiomic data, and parental sequencing data. However, it was still not a chromosome-scale reference. Here, we updated the previous KOREF assembly to a new chromosome-level haploid assembly of KOREF, KOREF_S1v2.1. Oxford Nanopore Technologies (ONT) PromethION, Pacific Biosciences HiFi-CCS, and Hi-C technology were used to build the most accurate East Asian reference assembled so far. RESULTS We produced 705 Gb ONT reads and 114 Gb Pacific Biosciences HiFi reads, and corrected ONT reads by Pacific Biosciences reads. The corrected ultra-long reads reached higher accuracy of 1.4% base errors than the previous KOREF_S1v1.0, which was mainly built with short reads. KOREF has parental genome information, and we successfully phased it using a trio-binning method, acquiring a near-complete haploid-assembly. The final assembly resulted in total length of 2.9 Gb with an N50 of 150 Mb, and the longest scaffold covered 97.3% of GRCh38's chromosome 2. In addition, the final assembly showed high base accuracy, with <0.01% base errors. CONCLUSIONS KOREF_S1v2.1 is the first chromosome-scale haploid assembly of the Korean reference genome with high contiguity and accuracy. Our study provides useful resources of the Korean reference genome and demonstrates a new strategy of hybrid assembly that combines ONT's PromethION and PacBio's HiFi-CCS.
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Affiliation(s)
- Hui-su Kim
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Sungwon Jeon
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Clinomics Inc., Ulsan 44919, Republic of Korea
| | - Yeonkyung Kim
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Clinomics Inc., Ulsan 44919, Republic of Korea
| | - Changjae Kim
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Clinomics Inc., Ulsan 44919, Republic of Korea
| | - Jihun Bhak
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Jong Bhak
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Clinomics Inc., Ulsan 44919, Republic of Korea
- Personal Genomics Institute, Genome Research Foundation, Cheongju 28160, Republic of Korea
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37
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Smetana J, Brož P. National Genome Initiatives in Europe and the United Kingdom in the Era of Whole-Genome Sequencing: A Comprehensive Review. Genes (Basel) 2022; 13:556. [PMID: 35328109 PMCID: PMC8953625 DOI: 10.3390/genes13030556] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 12/04/2022] Open
Abstract
Identification of genomic variability in population plays an important role in the clinical diagnostics of human genetic diseases. Thanks to rapid technological development in the field of massive parallel sequencing technologies, also known as next-generation sequencing (NGS), complex genomic analyses are now easier and cheaper than ever before, which consequently leads to more effective utilization of these techniques in clinical practice. However, interpretation of data from NGS is still challenging due to several issues caused by natural variability of DNA sequences in human populations. Therefore, development and realization of projects focused on description of genetic variability of local population (often called "national or digital genome") with a NGS technique is one of the best approaches to address this problem. The next step of the process is to share such data via publicly available databases. Such databases are important for the interpretation of variants with unknown significance or (likely) pathogenic variants in rare diseases or cancer or generally for identification of pathological variants in a patient's genome. In this paper, we have compiled an overview of published results of local genome sequencing projects from United Kingdom and Europe together with future plans and perspectives for newly announced ones.
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Affiliation(s)
- Jan Smetana
- Institute of Food Science and Biotechnology, Faculty of Chemistry, Brno University of Technology, 61200 Brno, Czech Republic
| | - Petr Brož
- Department of Genetics and Molecular Biology, Institute of Experimental Biology, Faculty of Science, Masaryk University, 61137 Brno, Czech Republic;
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38
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Babu G, Bin Islam S, Khan MA. A review on the genetic polymorphisms and susceptibility of cancer patients in Bangladesh. Mol Biol Rep 2022; 49:6725-6739. [PMID: 35277785 DOI: 10.1007/s11033-022-07282-8] [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: 12/06/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 10/18/2022]
Abstract
Cancer is one of the major health burdens worldwide, and genetic polymorphisms in individuals are closely associated with cancer susceptibility. Like in many other developing countries, the risk of cancer is increasing among Bangladeshi population. Genetic polymorphisms in xenobiotic metabolic enzymes (CYP1A1, CYP2A6, CYP3A4, CYP3A5, NAT2, SULT1A), cell cycle regulatory proteins (TP53, HER2, MDM2, miR-218-2, TGFB), cell signaling protein (CDH1), DNA repair proteins (BRCA1, BRCA2, EXO1, RAD51, XRCC2, ECCR1, ERCC4, XPC, ERCC2), and others (HLA-DRB1, INSIG2, GCNT1P5) have been found to be associated with various cancers like cancers of breast, bladder, cervix, colon, lung, prostate, etc. in different studies with Bangladeshi population. In this review article, we have discussed these gene polymorphisms associated with cancers in the Bangladeshi population, and also made a comparison with other ethnic groups. This will probably be helpful in understanding drug effects, drug resistance, and personalized medicine in the population of this region.
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Affiliation(s)
- Golap Babu
- Department of Biochemistry and Molecular Biology, Jahangirnagar University, 1342, Dhaka, Bangladesh
| | - Shad Bin Islam
- Bachelor in Medicine and Surgery Program, Affiliated hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Md Asaduzzaman Khan
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, 646000, Luzhou, Sichuan, China.
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Mishra S, Knupp A, Szabo MP, Williams CA, Kinoshita C, Hailey DW, Wang Y, Andersen OM, Young JE. The Alzheimer's gene SORL1 is a regulator of endosomal traffic and recycling in human neurons. Cell Mol Life Sci 2022; 79:162. [PMID: 35226190 PMCID: PMC8885486 DOI: 10.1007/s00018-022-04182-9] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/24/2022] [Accepted: 01/31/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Loss of the Sortilin-related receptor 1 (SORL1) gene seems to act as a causal event for Alzheimer's disease (AD). Recent studies have established that loss of SORL1, as well as mutations in autosomal dominant AD genes APP and PSEN1/2, pathogenically converge by swelling early endosomes, AD's cytopathological hallmark. Acting together with the retromer trafficking complex, SORL1 has been shown to regulate the recycling of the amyloid precursor protein (APP) out of the endosome, contributing to endosomal swelling and to APP misprocessing. We hypothesized that SORL1 plays a broader role in neuronal endosomal recycling and used human induced pluripotent stem cell-derived neurons (hiPSC-Ns) to test this hypothesis. We examined endosomal recycling of three transmembrane proteins linked to AD pathophysiology: APP, the BDNF receptor Tropomyosin-related kinase B (TRKB), and the glutamate receptor subunit AMPA1 (GLUA1). METHODS We used isogenic hiPSCs engineered to have SORL1 depleted or to have enhanced SORL1 expression. We differentiated neurons from these cell lines and mapped the trafficking of APP, TRKB and GLUA1 within the endosomal network using confocal microscopy. We also performed cell surface recycling and lysosomal degradation assays to assess the functionality of the endosomal network in both SORL1-depleted and -overexpressing neurons. The functional impact of GLUA1 recycling was determined by measuring synaptic activity. Finally, we analyzed alterations in gene expression in SORL1-depleted neurons using RNA sequencing. RESULTS We find that as with APP, endosomal trafficking of GLUA1 and TRKB is impaired by loss of SORL1. We show that trafficking of all three cargoes to late endosomes and lysosomes is affected by manipulating SORL1 expression. We also show that depletion of SORL1 significantly impacts the endosomal recycling pathway for APP and GLUA1 at the level of the recycling endosome and trafficking to the cell surface. This has a functional effect on neuronal activity as shown by multi-electrode array (MEA). Conversely, increased SORL1 expression enhances endosomal recycling for APP and GLUA1. Our unbiased transcriptomic data further support SORL1's role in endosomal recycling. We observe altered expression networks that regulate cell surface trafficking and neurotrophic signaling in SORL1-depleted neurons. CONCLUSION Collectively, and together with other recent observations, these findings suggest that one role for SORL1 is to contribute to endosomal degradation and recycling pathways in neurons, a conclusion that has both pathogenic and therapeutic implications for Alzheimer's disease.
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Affiliation(s)
- Swati Mishra
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Allison Knupp
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Marcell P. Szabo
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Charles A. Williams
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Chizuru Kinoshita
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Dale W. Hailey
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
| | - Yuliang Wang
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98195 USA
| | - Olav M. Andersen
- Department of Biomedicine, Danish Research Institute of Translational Neuroscience (DANDRITE), Aarhus University, Aarhus, Denmark
| | - Jessica E. Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195 USA
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Wang N, Lysenkov V, Orte K, Kairisto V, Aakko J, Khan S, Elo LL. Tool evaluation for the detection of variably sized indels from next generation whole genome and targeted sequencing data. PLoS Comput Biol 2022; 18:e1009269. [PMID: 35176018 PMCID: PMC8916674 DOI: 10.1371/journal.pcbi.1009269] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 03/11/2022] [Accepted: 01/30/2022] [Indexed: 11/18/2022] Open
Abstract
Insertions and deletions (indels) in human genomes are associated with a wide range of phenotypes, including various clinical disorders. High-throughput, next generation sequencing (NGS) technologies enable the detection of short genetic variants, such as single nucleotide variants (SNVs) and indels. However, the variant calling accuracy for indels remains considerably lower than for SNVs. Here we present a comparative study of the performance of variant calling tools for indel calling, evaluated with a wide repertoire of NGS datasets. While there is no single optimal tool to suit all circumstances, our results demonstrate that the choice of variant calling tool greatly impacts the precision and recall of indel calling. Furthermore, to reliably detect indels, it is essential to choose NGS technologies that offer a long read length and high coverage coupled with specific variant calling tools.
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Affiliation(s)
- Ning Wang
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Vladislav Lysenkov
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Katri Orte
- Department of Pathology, Laboratory Division, Turku University Hospital, Turku, Finland
- Department of Genomics, Laboratory Division, Turku University Hospital, Turku, Finland
| | - Veli Kairisto
- Department of Genomics, Laboratory Division, Turku University Hospital, Turku, Finland
| | - Juhani Aakko
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Sofia Khan
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- * E-mail: (SK); (LLE)
| | - Laura L. Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- Institute of Biomedicine, University of Turku, Finland
- * E-mail: (SK); (LLE)
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41
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Ashraf MF, Hou D, Hussain Q, Imran M, Pei J, Ali M, Shehzad A, Anwar M, Noman A, Waseem M, Lin X. Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance. Int J Mol Sci 2022; 23:651. [PMID: 35054836 PMCID: PMC8775971 DOI: 10.3390/ijms23020651] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/23/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023] Open
Abstract
Crop production is a serious challenge to provide food for the 10 billion individuals forecasted to live across the globe in 2050. The scientists' emphasize establishing an equilibrium among diversity and quality of crops by enhancing yield to fulfill the increasing demand for food supply sustainably. The exploitation of genetic resources using genomics and metabolomics strategies can help generate resilient plants against stressors in the future. The innovation of the next-generation sequencing (NGS) strategies laid the foundation to unveil various plants' genetic potential and help us to understand the domestication process to unmask the genetic potential among wild-type plants to utilize for crop improvement. Nowadays, NGS is generating massive genomic resources using wild-type and domesticated plants grown under normal and harsh environments to explore the stress regulatory factors and determine the key metabolites. Improved food nutritional value is also the key to eradicating malnutrition problems around the globe, which could be attained by employing the knowledge gained through NGS and metabolomics to achieve suitability in crop yield. Advanced technologies can further enhance our understanding in defining the strategy to obtain a specific phenotype of a crop. Integration among bioinformatic tools and molecular techniques, such as marker-assisted, QTLs mapping, creation of reference genome, de novo genome assembly, pan- and/or super-pan-genomes, etc., will boost breeding programs. The current article provides sequential progress in NGS technologies, a broad application of NGS, enhancement of genetic manipulation resources, and understanding the crop response to stress by producing plant metabolites. The NGS and metabolomics utilization in generating stress-tolerant plants/crops without deteriorating a natural ecosystem is considered a sustainable way to improve agriculture production. This highlighted knowledge also provides useful research that explores the suitable resources for agriculture sustainability.
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Affiliation(s)
- Muhammad Furqan Ashraf
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 666 Wusu Street, Lin’An, Hangzhou 311300, China; (M.F.A.); (D.H.); (Q.H.); (J.P.)
| | - Dan Hou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 666 Wusu Street, Lin’An, Hangzhou 311300, China; (M.F.A.); (D.H.); (Q.H.); (J.P.)
| | - Quaid Hussain
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 666 Wusu Street, Lin’An, Hangzhou 311300, China; (M.F.A.); (D.H.); (Q.H.); (J.P.)
| | - Muhammad Imran
- Colleges of Agriculture and Horticulture, South China Agricultural University, Guangzhou 510642, China; (M.I.); (M.W.)
| | - Jialong Pei
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 666 Wusu Street, Lin’An, Hangzhou 311300, China; (M.F.A.); (D.H.); (Q.H.); (J.P.)
| | - Mohsin Ali
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China;
| | - Aamar Shehzad
- Maize Research Station, AARI, Faisalabad 38000, Pakistan;
| | - Muhammad Anwar
- Guangdong Technology Research Center for Marine Algal Bioengineering, Guangdong Key Laboratory of Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China;
| | - Ali Noman
- Department of Botany, Government College University, Faisalabad 38000, Pakistan;
| | - Muhammad Waseem
- Colleges of Agriculture and Horticulture, South China Agricultural University, Guangzhou 510642, China; (M.I.); (M.W.)
| | - Xinchun Lin
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 666 Wusu Street, Lin’An, Hangzhou 311300, China; (M.F.A.); (D.H.); (Q.H.); (J.P.)
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Hua LL, Casas C, Mikawa T. Mitotic Antipairing of Homologous Chromosomes. Results Probl Cell Differ 2022; 70:191-220. [PMID: 36348108 PMCID: PMC9731508 DOI: 10.1007/978-3-031-06573-6_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Chromosome organization is highly dynamic and plays an essential role during cell function. It was recently found that pairs of the homologous chromosomes are continuously separated at mitosis and display a haploid (1n) chromosome set, or "antipairing," organization in human cells. Here, we provide an introduction to the current knowledge of homologous antipairing in humans and its implications in human disease.
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Affiliation(s)
- Lisa L. Hua
- Department of Biology, Sonoma State University, San Francisco
| | - Christian Casas
- Department of Biology, Sonoma State University, San Francisco
| | - Takashi Mikawa
- Department of Anatomy, Cardiovascular Research Institute, University of California, San Francisco,Corresponding author:
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Abstract
We are entering a new era in genomics where entire centromeric regions are accurately represented in human reference assemblies. Access to these high-resolution maps will enable new surveys of sequence and epigenetic variation in the population and offer new insight into satellite array genomics and centromere function. Here, we focus on the sequence organization and evolution of alpha satellites, which are credited as the genetic and genomic definition of human centromeres due to their interaction with inner kinetochore proteins and their importance in the development of human artificial chromosome assays. We provide an overview of alpha satellite repeat structure and array organization in the context of these high-quality reference data sets; discuss the emergence of variation-based surveys; and provide perspective on the role of this new source of genetic and epigenetic variation in the context of chromosome biology, genome instability, and human disease.
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Affiliation(s)
- Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, California 95064, USA; .,Department of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA
| | - Ivan A Alexandrov
- Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia; .,Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199004, Russia.,Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 119071, Russia
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44
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Genomic Studies of White-Rot Fungus Cerrena unicolor SP02 Provide Insights into Food Safety Value-Added Utilization of Non-Food Lignocellulosic Biomass. J Fungi (Basel) 2021; 7:jof7100835. [PMID: 34682256 PMCID: PMC8541250 DOI: 10.3390/jof7100835] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 09/21/2021] [Accepted: 10/03/2021] [Indexed: 01/03/2023] Open
Abstract
Cerrena unicolor is an ecologically and biotechnologically important wood-degrading basidiomycete with high lignocellulose degrading ability. Biological and genetic investigations are limited in the Cerrena genus and, thus, hinder genetic modification and commercial use. The aim of the present study was to provide a global understanding through genomic and experimental research about lignocellulosic biomass utilization by Cerrena unicolor. In this study, we reported the genome sequence of C. unicolor SP02 by using the Illumina and PacBio 20 platforms to obtain trustworthy assembly and annotation. This is the combinational 2nd and 3rd genome sequencing and assembly of C. unicolor species. The generated genome was 42.79 Mb in size with an N50 contig size of 2.48 Mb, a G + C content of 47.43%, and encoding of 12,277 predicted genes. The genes encoding various lignocellulolytic enzymes including laccase, lignin peroxidase, manganese peroxidase, cytochromes P450, cellulase, xylanase, α-amylase, and pectinase involved in the degradation of lignin, cellulose, xylan, starch, pectin, and chitin that showed the C. unicolor SP02 potentially have a wide range of applications in lignocellulosic biomass conversion. Genome-scale metabolic analysis opened up a valuable resource for a better understanding of carbohydrate-active enzymes (CAZymes) and oxidoreductases that provide insights into the genetic basis and molecular mechanisms for lignocellulosic degradation. The C. unicolor SP02 model can be used for the development of efficient microbial cell factories in lignocellulosic industries. The understanding of the genetic material of C. unicolor SP02 coding for the lignocellulolytic enzymes will significantly benefit us in genetic manipulation, site-directed mutagenesis, and industrial biotechnology.
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45
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Youk J, Kwon HW, Kim R, Ju YS. Dissecting single-cell genomes through the clonal organoid technique. Exp Mol Med 2021; 53:1503-1511. [PMID: 34663940 PMCID: PMC8569207 DOI: 10.1038/s12276-021-00680-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/13/2021] [Indexed: 12/11/2022] Open
Abstract
The revolution in genome sequencing technologies has enabled the comprehensive detection of genomic variations in human cells, including inherited germline polymorphisms, de novo mutations, and postzygotic mutations. When these technologies are combined with techniques for isolating and expanding single-cell DNA, the landscape of somatic mosaicism in an individual body can be systematically revealed at a single-cell resolution. Here, we summarize three strategies (whole-genome amplification, microdissection of clonal patches in the tissue, and in vitro clonal expansion of single cells) that are currently applied for single-cell mutational analyses. Among these approaches, in vitro clonal expansion, particularly via adult stem cell-derived organoid culture technologies, yields the most sensitive and precise catalog of somatic mutations in single cells. Moreover, because it produces living mutant cells, downstream validation experiments and multiomics profiling are possible. Through the synergistic combination of organoid culture and genome sequencing, researchers can track genome changes at a single-cell resolution, which will lead to new discoveries that were previously impossible.
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Affiliation(s)
- Jeonghwan Youk
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
- GENOME INSIGHT Inc, Daejeon, 34051, Republic of Korea
| | - Hyun Woo Kwon
- Department of Nuclear Medicine, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Ryul Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Young Seok Ju
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- GENOME INSIGHT Inc, Daejeon, 34051, Republic of Korea.
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Trost B, Loureiro LO, Scherer SW. Discovery of genomic variation across a generation. Hum Mol Genet 2021; 30:R174-R186. [PMID: 34296264 PMCID: PMC8490016 DOI: 10.1093/hmg/ddab209] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/09/2021] [Accepted: 07/19/2021] [Indexed: 11/12/2022] Open
Abstract
Over the past 30 years (the timespan of a generation), advances in genomics technologies have revealed tremendous and unexpected variation in the human genome and have provided increasingly accurate answers to long-standing questions of how much genetic variation exists in human populations and to what degree the DNA complement changes between parents and offspring. Tracking the characteristics of these inherited and spontaneous (or de novo) variations has been the basis of the study of human genetic disease. From genome-wide microarray and next-generation sequencing scans, we now know that each human genome contains over 3 million single nucleotide variants when compared with the ~ 3 billion base pairs in the human reference genome, along with roughly an order of magnitude more DNA—approximately 30 megabase pairs (Mb)—being ‘structurally variable’, mostly in the form of indels and copy number changes. Additional large-scale variations include balanced inversions (average of 18 Mb) and complex, difficult-to-resolve alterations. Collectively, ~1% of an individual’s genome will differ from the human reference sequence. When comparing across a generation, fewer than 100 new genetic variants are typically detected in the euchromatic portion of a child’s genome. Driven by increasingly higher-resolution and higher-throughput sequencing technologies, newer and more accurate databases of genetic variation (for instance, more comprehensive structural variation data and phasing of combinations of variants along chromosomes) of worldwide populations will emerge to underpin the next era of discovery in human molecular genetics.
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Affiliation(s)
- Brett Trost
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Livia O Loureiro
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.,McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
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47
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Karimi E, Mahmoudian F, Reyes SOL, Bargir UA, Madkaikar M, Artac H, Sabzevari A, Lu N, Azizi G, Abolhassani H. Approach to genetic diagnosis of inborn errors of immunity through next-generation sequencing. Mol Immunol 2021; 137:57-66. [PMID: 34216999 DOI: 10.1016/j.molimm.2021.06.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/18/2021] [Accepted: 06/23/2021] [Indexed: 01/02/2023]
Abstract
Patients with inborn errors of immunity (IEI) present with a heterogeneous clinical and immunological phenotype, therefore a correct molecular diagnosis is crucial for the classification and subsequent therapeutic management. On the other hand, IEI are a group of rare congenital diseases with highly diverse features and, in most cases, an as yet unknown genetic etiology. Next generation sequencing has facilitated genetic examinations of rare inherited disorders during the recent years, thus allowing a suitable molecular diagnosis in the IEI patients. This review aimed to investigate the current findings about these techniques in the field of IEI, suggesting an efficient stepwise approach to molecular diagnosis of inborn errors of immunity.
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Affiliation(s)
- Esmat Karimi
- Department of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ, 85721, USA; Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Science, Tehran, Iran
| | - Fatemeh Mahmoudian
- Department of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Saul O Lugo Reyes
- Immune Deficiencies Lab, National Institute of Pediatrics, Mexico City, Mexico
| | - Umair Ahmed Bargir
- Department of Pediatric Immunology and Leukocyte Biology, ICMR-National Institute of Immunohaematology, Mumbai, India
| | - Manisha Madkaikar
- Department of Pediatric Immunology and Leukocyte Biology, ICMR-National Institute of Immunohaematology, Mumbai, India
| | - Hasibe Artac
- Department of Pediatric Immunology and Allergy, Faculty of Medicine, Selcuk University, Konya, Turkey
| | - Araz Sabzevari
- CinnaGen Medical Biotechnology Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Na Lu
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Gholamreza Azizi
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
| | - Hassan Abolhassani
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Science, Tehran, Iran; Division of Clinical Immunology, Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden; Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden.
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48
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Al-Ward H, Liu CY, Liu N, Shaher F, Al-Nusaif M, Mao J, Xu H. Voltage-Gated Sodium Channel β1 Gene: An Overview. Hum Hered 2021; 85:101-109. [PMID: 34038903 DOI: 10.1159/000516388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 04/01/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Voltage-gated sodium channels are protein complexes composed of 2 subunits, namely, pore-forming α- and regulatory β-subunits. A β-subunit consists of 5 proteins encoded by 4 genes (i.e., SCN1B-SCN4B). SUMMARY β1-Subunits regulate sodium ion channel functions, including gating properties, subcellular localization, and kinetics. Key Message: Sodium channel β1- and its variant β1B-subunits are encoded by SCN1B. These variants are associated with many human diseases, such as epilepsy, Brugada syndrome, Dravet syndrome, and cancers. On the basis of previous research, we aimed to provide an overview of the structure, expression, and involvement of SCN1B in physiological processes and focused on its role in diseases.
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Affiliation(s)
- Hisham Al-Ward
- Department of Biochemistry and Molecular Biology, Jiamusi University School of Basic Medical Sciences, Jiamusi, China
| | - Chun-Yang Liu
- Department of Biochemistry and Molecular Biology, Ankang University School of Medicine, Ankang, China
| | - Ning Liu
- Department of Biochemistry and Molecular Biology, Jiamusi University School of Basic Medical Sciences, Jiamusi, China
| | - Fahmi Shaher
- Department of Pathophysiology, Jiamusi University School of Basic Medical Sciences, Jiamusi, China
| | - Murad Al-Nusaif
- Department of Neurology, Dalian Medical University, Dalian, China
| | - Jing Mao
- Department of Biochemistry and Molecular Biology, Jiamusi University School of Basic Medical Sciences, Jiamusi, China
| | - Hui Xu
- Department of Biochemistry and Molecular Biology, Jiamusi University School of Basic Medical Sciences, Jiamusi, China
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Roberts R, Fair J. Genetics, its role in preventing the pandemic of coronary artery disease. Clin Cardiol 2021; 44:771-779. [PMID: 34080689 PMCID: PMC8207986 DOI: 10.1002/clc.23627] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/23/2021] [Accepted: 04/30/2021] [Indexed: 01/14/2023] Open
Abstract
Epidemiologists have claimed for decades that about 50% of predisposition for coronary artery disease (CAD) is genetic. Advances in technology made possible the discovery of hundreds of genetic risk variants predisposing to CAD. Multiple clinical trials have shown that cardiac events can be prevented by drugs to lower plasma low-density lipoprotein cholesterol (LDL-C). A major barrier to primary prevention is the lack of markers to identify those individuals at risk prior to the development of symptoms of the disease. Conventional risk factors are age-dependent, occurring mostly in the sixth or seventh decade, which is less than desirable for early primary prevention. A polygenic risk score, derived from the number of genetic risk variants predisposing to CAD inherited by an individual, has been evaluated in over 1 million individuals. The risk for CAD is stratified into high, intermediate, and low. Polygenic risk scores derived from retrospective genotyping of several clinical trials evaluating the effect of statin therapy or PCSK9 inhibitors show the genetic risk is reduced 40%-50% by decreasing plasma LDL-C. Prospective randomized placebo-controlled clinical trials document a 40%-50% reduction in cardiac events in individuals at high genetic risk associated with favorable lifestyle changes and increased physical activity. The polygenic risk score is not age-dependent and remains the same throughout life. Thus, the GRS is superior to conventional risk factors in identifying asymptomatic individuals at risk for CAD early in life for primary prevention. These results indicate clinical embracement of the GRS in primary prevention would be a paradigm shift in the treatment of the number one killer, CAD.
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Affiliation(s)
- Robert Roberts
- College of Medicine, Phoenix, St. Joseph's Hospital and Medical Center, The University of Arizona, Phoenix, Arizona, USA
| | - Jacques Fair
- College of Medicine, Phoenix, St. Joseph's Hospital and Medical Center, The University of Arizona, Phoenix, Arizona, USA
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Abstract
Hypertrophic cardiomyopathy (HCM) is a genetic disease of the myocardium characterized by a hypertrophic left ventricle with a preserved or increased ejection fraction. Cardiac hypertrophy is often asymmetrical, which is associated with left ventricular outflow tract obstruction. Myocyte hypertrophy, disarray, and myocardial fibrosis constitute the histological features of HCM. HCM is a relatively benign disease but an important cause of sudden cardiac death in the young and heart failure in the elderly. Pathogenic variants (PVs) in genes encoding protein constituents of the sarcomeres are the main causes of HCM. PVs exhibit a gradient of effect sizes, as reflected in their penetrance and variable phenotypic expression of HCM. MYH7 and MYBPC3, encoding β-myosin heavy chain and myosin binding protein C, respectively, are the two most common causal genes and responsible for ≈40% of all HCM cases but a higher percentage of HCM in large families. PVs in genes encoding protein components of the thin filaments are responsible for ≈5% of the HCM cases. Whereas pathogenicity of the genetic variants in large families has been firmly established, ascertainment causality of the PVs in small families and sporadic cases is challenging. In the latter category, PVs are best considered as probabilistic determinants of HCM. Deciphering the genetic basis of HCM has enabled routine genetic testing and has partially elucidated the underpinning mechanism of HCM as increased number of the myosin molecules that are strongly bound to actin. The discoveries have led to the development of mavacamten that targets binding of the myosin molecule to actin filaments and imparts beneficial clinical effects. In the coming years, the yield of the genetic testing is expected to be improved and the so-called missing causal gene be identified. The advances are also expected to enable development of additional specific therapies and editing of the mutations in HCM.
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Affiliation(s)
- A J Marian
- Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston
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