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Kalbfleisch TS, Smith ML, Ciosek JL, Li K, Doris PA. Three decades of rat genomics: approaching the finish(ed) line. Physiol Genomics 2024; 56:807-818. [PMID: 39348459 DOI: 10.1152/physiolgenomics.00110.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 09/11/2024] [Accepted: 09/26/2024] [Indexed: 10/02/2024] Open
Abstract
The rat, Rattus norvegicus, has provided an important model for investigation of a range of characteristics of biomedical importance. Here we survey the origins of this species, its introduction into laboratory research, and the emergence of genetic and genomic methods that utilize this model organism. Genomic studies have yielded important progress and provided new insight into several biologically important traits. However, some studies have been impeded by the lack of a complete and accurate reference genome for this species. New sequencing and genome assembly methods applied to the rat have resulted in a new reference genome assembly, GRCr8, which is a near telomere-to-telomere assembly of high base-level accuracy that incorporates several elements not captured in prior assemblies. As genome assembly methods continue to advance and production costs become a less significant obstacle, genome assemblies for multiple inbred rat strains are emerging. These assemblies will allow a rat pangenome assembly to be constructed that captures all the genetic variations in strains selected for their utility in research and will overcome reference bias, a limitation associated with reliance on a single reference assembly. By this means, the full utility of this model organism to genomic studies will begin to be revealed.
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Affiliation(s)
- Theodore S Kalbfleisch
- Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, United States
| | - Melissa L Smith
- Department of Biochemistry and Molecular Biology, University of Louisville School of Medicine, Louisville, Kentucky, United States
| | - Julia L Ciosek
- Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, United States
| | - Kai Li
- Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, United States
| | - Peter A Doris
- Center for Human Genetics, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, United States
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2
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Potapova T, Kostos P, McKinney S, Borchers M, Haug J, Guarracino A, Solar S, Gogol M, Monfort Anez G, de Lima LG, Wang Y, Hall K, Hoffman S, Garrison E, Phillippy AM, Gerton JL. Epigenetic control and inheritance of rDNA arrays. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.13.612795. [PMID: 39372739 PMCID: PMC11451732 DOI: 10.1101/2024.09.13.612795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Ribosomal RNA (rRNA) genes exist in multiple copies arranged in tandem arrays known as ribosomal DNA (rDNA). The total number of gene copies is variable, and the mechanisms buffering this copy number variation remain unresolved. We surveyed the number, distribution, and activity of rDNA arrays at the level of individual chromosomes across multiple human and primate genomes. Each individual possessed a unique fingerprint of copy number distribution and activity of rDNA arrays. In some cases, entire rDNA arrays were transcriptionally silent. Silent rDNA arrays showed reduced association with the nucleolus and decreased interchromosomal interactions, indicating that the nucleolar organizer function of rDNA depends on transcriptional activity. Methyl-sequencing of flow-sorted chromosomes, combined with long read sequencing, showed epigenetic modification of rDNA promoter and coding region by DNA methylation. Silent arrays were in a closed chromatin state, as indicated by the accessibility profiles derived from Fiber-seq. Removing DNA methylation restored the transcriptional activity of silent arrays. Array activity status remained stable through the iPS cell re-programming. Family trio analysis demonstrated that the inactive rDNA haplotype can be traced to one of the parental genomes, suggesting that the epigenetic state of rDNA arrays may be heritable. We propose that the dosage of rRNA genes is epigenetically regulated by DNA methylation, and these methylation patterns specify nucleolar organizer function and can propagate transgenerationally.
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Affiliation(s)
- Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Paxton Kostos
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Sean McKinney
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | | | - Jeff Haug
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Steven Solar
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Madelaine Gogol
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | | | | | - Yan Wang
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Kate Hall
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | | | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer L. Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS, USA
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3
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Suzuki Y, Usui H, Katayama E, Sato A, Nakamura N, Nakada E, Omoto A, Okayama J, Sato M, Nagasawa A, Hirosawa A, Shozu M, Koga K. Single-nucleotide polymorphism array and fluorescence in situ hybridization analysis to decode the cytogenetic profile of atypical partial hydatidiform moles diagnosed by short tandem repeat polymorphism analysis. Genes Chromosomes Cancer 2024; 63:e23220. [PMID: 38780072 DOI: 10.1002/gcc.23220] [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: 09/23/2023] [Revised: 11/28/2023] [Accepted: 12/18/2023] [Indexed: 05/25/2024] Open
Abstract
Accurate diagnosis of partial hydatidiform moles (PHMs) is crucial for improving outcomes of gestational trophoblastic neoplasia. The use of short tandem repeat (STR) polymorphism analysis to distinguish between PHM and hydropic abortuses is instrumental; however, its diagnostic power has not been comprehensively assessed. Herein, we evaluated the diagnostic efficacy of STR in differentiating between PHM and hydropic abortus, thus providing an opportunity for early measurement of human chorionic gonadotropin for PHMs. We reviewed charts of STR polymorphism analysis performed on fresh villous specimens and patient blood samples using a commercial kit for 16 loci. The genetic classification of 79 PHMs was confirmed. STR was reliable in differentiating PHMs when at least 15 loci were available. Typically, PHMs are characterized by their triploidy, including two paternal and one maternal haploid contribution. In our sample, seven PHMs lacked the three-allelic loci, requiring fluorescence in situ hybridization (FISH) analysis to investigate imbalanced biparental conceptus and single-nucleotide polymorphism array analysis to reveal cytogenetic details. Of these PHMs, two, three, and one were identified as androgenetic/biparental mosaics (diploids), monospermic diandric monogynic triploids, and a typical dispermic diandric monogynic triploid, respectively. The remaining case was monospermic origin, but its ploidy details could not be available. Therefore, STR differentiated PHM from a biparental diploid abortus in most cases. However, PHM diagnosis may be compromised when STR is used as the sole method for cases displaying distinct cytogenetic patterns lacking the three-allelic loci, including androgenetic/biparental mosaicism. Therefore, FISH should be considered to confirm the diagnosis.
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Affiliation(s)
- Yoshiya Suzuki
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Hirokazu Usui
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
- Department of Obstetrics and Gynecology, Reproductive Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Eri Katayama
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Asuka Sato
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Natsuko Nakamura
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Emiri Nakada
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Akiko Omoto
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
- Department of Obstetrics and Gynecology, Reproductive Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Jun Okayama
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Mika Sato
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Akiko Nagasawa
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Akiko Hirosawa
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
| | - Makio Shozu
- Department of Obstetrics and Gynecology, Reproductive Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Kaori Koga
- Department of Obstetrics and Gynecology, Chiba University Hospital, Chiba University, Chiba, Japan
- Department of Obstetrics and Gynecology, Reproductive Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
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4
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Yang L, Metzger GA, Padilla Del Valle R, Delgadillo Rubalcaba D, McLaughlin RN. Evolutionary insights from profiling LINE-1 activity at allelic resolution in a single human genome. EMBO J 2024; 43:112-131. [PMID: 38177314 PMCID: PMC10883270 DOI: 10.1038/s44318-023-00007-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/18/2023] [Accepted: 11/10/2023] [Indexed: 01/06/2024] Open
Abstract
Transposable elements have created the majority of the sequence in many genomes. In mammals, LINE-1 retrotransposons have been expanding for more than 100 million years as distinct, consecutive lineages; however, the drivers of this recurrent lineage emergence and disappearance are unknown. Most human genome assemblies provide a record of this ancient evolution, but fail to resolve ongoing LINE-1 retrotranspositions. Utilizing the human CHM1 long-read-based haploid assembly, we identified and cloned all full-length, intact LINE-1s, and found 29 LINE-1s with measurable in vitro retrotransposition activity. Among individuals, these LINE-1s varied in their presence, their allelic sequences, and their activity. We found that recently retrotransposed LINE-1s tend to be active in vitro and polymorphic in the population relative to more ancient LINE-1s. However, some rare allelic forms of old LINE-1s retain activity, suggesting older lineages can persist longer than expected. Finally, in LINE-1s with in vitro activity and in vivo fitness, we identified mutations that may have increased replication in ancient genomes and may prove promising candidates for mechanistic investigations of the drivers of LINE-1 evolution and which LINE-1 sequences contribute to human disease.
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Affiliation(s)
- Lei Yang
- Pacific Northwest Research Institute, Seattle, WA, USA
| | | | - Ricky Padilla Del Valle
- Pacific Northwest Research Institute, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, USA
| | | | - Richard N McLaughlin
- Pacific Northwest Research Institute, Seattle, WA, USA.
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, USA.
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5
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He Y, Chu Y, Guo S, Hu J, Li R, Zheng Y, Ma X, Du Z, Zhao L, Yu W, Xue J, Bian W, Yang F, Chen X, Zhang P, Wu R, Ma Y, Shao C, Chen J, Wang J, Li J, Wu J, Hu X, Long Q, Jiang M, Ye H, Song S, Li G, Wei Y, Xu Y, Ma Y, Chen Y, Wang K, Bao J, Xi W, Wang F, Ni W, Zhang M, Yu Y, Li S, Kang Y, Gao Z. T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:1085-1100. [PMID: 37595788 PMCID: PMC11082261 DOI: 10.1016/j.gpb.2023.08.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/01/2023] [Accepted: 08/08/2023] [Indexed: 08/20/2023]
Abstract
Since its initial release in 2001, the human reference genome has undergone continuous improvement in quality, and the recently released telomere-to-telomere (T2T) version - T2T-CHM13 - reaches its highest level of continuity and accuracy after 20 years of effort by working on a simplified, nearly homozygous genome of a hydatidiform mole cell line. Here, to provide an authentic complete diploid human genome reference for the Han Chinese, the largest population in the world, we assembled the genome of a male Han Chinese individual, T2T-YAO, which includes T2T assemblies of all the 22 + X + M and 22 + Y chromosomes in both haploids. The quality of T2T-YAO is much better than those of all currently available diploid assemblies, and its haploid version, T2T-YAO-hp, generated by selecting the better assembly for each autosome, reaches the top quality of fewer than one error per 29.5 Mb, even higher than that of T2T-CHM13. Derived from an individual living in the aboriginal region of the Han population, T2T-YAO shows clear ancestry and potential genetic continuity from the ancient ancestors. Each haplotype of T2T-YAO possesses ∼ 330-Mb exclusive sequences, ∼ 3100 unique genes, and tens of thousands of nucleotide and structural variations as compared with CHM13, highlighting the necessity of a population-stratified reference genome. The construction of T2T-YAO, an accurate and authentic representative of the Chinese population, would enable precise delineation of genomic variations and advance our understandings in the hereditability of diseases and phenotypes, especially within the context of the unique variations of the Chinese population.
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Affiliation(s)
- Yukun He
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China
| | - Yanan Chu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Shuming Guo
- Linfen Clinical Medicine Research Center, Linfen 041000, China; Institute of Chest and Lung Diseases, Shanxi Medical University, Taiyuan 030001, China
| | - Jiang Hu
- GrandOmics Biosciences Co., Ltd, Wuhan 430076, China
| | - Ran Li
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Yali Zheng
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Xinqian Ma
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Zhenglin Du
- Institute of PSI Genomics, Wenzhou 325024, China
| | - Lili Zhao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Wenyi Yu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Jianbo Xue
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Wenjie Bian
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Feifei Yang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Xi Chen
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Pingan Zhang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Rihan Wu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Yifan Ma
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Changjun Shao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Jing Chen
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Jian Wang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Jiwei Li
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Jing Wu
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Xiaoyi Hu
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Qiuyue Long
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Mingzheng Jiang
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Hongli Ye
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Shixu Song
- Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
| | - Guangyao Li
- Linfen Clinical Medicine Research Center, Linfen 041000, China
| | - Yue Wei
- Linfen Clinical Medicine Research Center, Linfen 041000, China
| | - Yu Xu
- Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yanliang Ma
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Yanwen Chen
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Keqiang Wang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Jing Bao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Wen Xi
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Fang Wang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Wentao Ni
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Moqin Zhang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Yan Yu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Shengnan Li
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China
| | - Yu Kang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100490, China.
| | - Zhancheng Gao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China; Institute of Chest and Lung Diseases, Shanxi Medical University, Taiyuan 030001, China; Beijing Key Laboratory of Genome and Precision Medicine Technologies, Beijing 100101, China.
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6
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van Dijk EL, Naquin D, Gorrichon K, Jaszczyszyn Y, Ouazahrou R, Thermes C, Hernandez C. Genomics in the long-read sequencing era. Trends Genet 2023; 39:649-671. [PMID: 37230864 DOI: 10.1016/j.tig.2023.04.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023]
Abstract
Long-read sequencing (LRS) technologies have provided extremely powerful tools to explore genomes. While in the early years these methods suffered technical limitations, they have recently made significant progress in terms of read length, throughput, and accuracy and bioinformatics tools have strongly improved. Here, we aim to review the current status of LRS technologies, the development of novel methods, and the impact on genomics research. We will explore the most impactful recent findings made possible by these technologies focusing on high-resolution sequencing of genomes and transcriptomes and the direct detection of DNA and RNA modifications. We will also discuss how LRS methods promise a more comprehensive understanding of human genetic variation, transcriptomics, and epigenetics for the coming years.
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Affiliation(s)
- Erwin L van Dijk
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France.
| | - Delphine Naquin
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Kévin Gorrichon
- National Center of Human Genomics Research (CNRGH), 91000 Évry-Courcouronnes, France
| | - Yan Jaszczyszyn
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Rania Ouazahrou
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Claude Thermes
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Céline Hernandez
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
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7
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Laufer VA, Glover TW, Wilson TE. Applications of advanced technologies for detecting genomic structural variation. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2023; 792:108475. [PMID: 37931775 PMCID: PMC10792551 DOI: 10.1016/j.mrrev.2023.108475] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/07/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023]
Abstract
Chromosomal structural variation (SV) encompasses a heterogenous class of genetic variants that exerts strong influences on human health and disease. Despite their importance, many structural variants (SVs) have remained poorly characterized at even a basic level, a discrepancy predicated upon the technical limitations of prior genomic assays. However, recent advances in genomic technology can identify and localize SVs accurately, opening new questions regarding SV risk factors and their impacts in humans. Here, we first define and classify human SVs and their generative mechanisms, highlighting characteristics leveraged by various SV assays. We next examine the first-ever gapless assembly of the human genome and the technical process of assembling it, which required third-generation sequencing technologies to resolve structurally complex loci. The new portions of that "telomere-to-telomere" and subsequent pangenome assemblies highlight aspects of SV biology likely to develop in the near-term. We consider the strengths and limitations of the most promising new SV technologies and when they or longstanding approaches are best suited to meeting salient goals in the study of human SV in population-scale genomics research, clinical, and public health contexts. It is a watershed time in our understanding of human SV when new approaches are expected to fundamentally change genomic applications.
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Affiliation(s)
- Vincent A Laufer
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
| | - Thomas W Glover
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
| | - Thomas E Wilson
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
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8
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Nurk S, Koren S, Rhie A, Rautiainen M, Bzikadze AV, Mikheenko A, Vollger MR, Altemose N, Uralsky L, Gershman A, Aganezov S, Hoyt SJ, Diekhans M, Logsdon GA, Alonge M, Antonarakis SE, Borchers M, Bouffard GG, Brooks SY, Caldas GV, Chen NC, Cheng H, Chin CS, Chow W, de Lima LG, Dishuck PC, Durbin R, Dvorkina T, Fiddes IT, Formenti G, Fulton RS, Fungtammasan A, Garrison E, Grady PG, Graves-Lindsay TA, Hall IM, Hansen NF, Hartley GA, Haukness M, Howe K, Hunkapiller MW, Jain C, Jain M, Jarvis ED, Kerpedjiev P, Kirsche M, Kolmogorov M, Korlach J, Kremitzki M, Li H, Maduro VV, Marschall T, McCartney AM, McDaniel J, Miller DE, Mullikin JC, Myers EW, Olson ND, Paten B, Peluso P, Pevzner PA, Porubsky D, Potapova T, Rogaev EI, Rosenfeld JA, Salzberg SL, Schneider VA, Sedlazeck FJ, Shafin K, Shew CJ, Shumate A, Sims Y, Smit AFA, Soto DC, Sović I, Storer JM, Streets A, Sullivan BA, Thibaud-Nissen F, Torrance J, Wagner J, Walenz BP, Wenger A, Wood JMD, Xiao C, Yan SM, Young AC, Zarate S, Surti U, McCoy RC, Dennis MY, Alexandrov IA, Gerton JL, O’Neill RJ, Timp W, Zook JM, Schatz MC, Eichler EE, Miga KH, Phillippy AM. The complete sequence of a human genome. Science 2022; 376:44-53. [PMID: 35357919 PMCID: PMC9186530 DOI: 10.1126/science.abj6987] [Citation(s) in RCA: 1194] [Impact Index Per Article: 597.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Since its initial release in 2000, the human reference genome has covered only the euchromatic fraction of the genome, leaving important heterochromatic regions unfinished. Addressing the remaining 8% of the genome, the Telomere-to-Telomere (T2T) Consortium presents a complete 3.055 billion-base pair sequence of a human genome, T2T-CHM13, that includes gapless assemblies for all chromosomes except Y, corrects errors in the prior references, and introduces nearly 200 million base pairs of sequence containing 1956 gene predictions, 99 of which are predicted to be protein coding. The completed regions include all centromeric satellite arrays, recent segmental duplications, and the short arms of all five acrocentric chromosomes, unlocking these complex regions of the genome to variational and functional studies.
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Affiliation(s)
- 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
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Andrey V. Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego; La Jolla, CA, USA
| | - Alla Mikheenko
- 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
| | - Nicolas Altemose
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA, USA
| | - Lev Uralsky
- Sirius University of Science and Technology; Sochi, Russia
- Vavilov Institute of General Genetics; Moscow, Russia
| | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University; Baltimore, MD, USA
| | - Sergey Aganezov
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Savannah J. Hoyt
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Glennis A. Logsdon
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Michael Alonge
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | | | | | - Gerard G. Bouffard
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Shelise Y. Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Gina V. Caldas
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute; Boston, MA
- Department of Biomedical Informatics, Harvard Medical School; Boston, MA
| | | | | | | | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Richard Durbin
- Wellcome Sanger Institute; Cambridge, UK
- Department of Genetics, University of Cambridge; Cambridge, UK
| | - Tatiana Dvorkina
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University; Saint Petersburg, Russia
| | | | - Giulio Formenti
- Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab, The Rockefeller University; New York, NY, USA
- Howard Hughes Medical Institute; Chevy Chase, MD, USA
| | - Robert S. Fulton
- Department of Genetics, Washington University School of Medicine; St. Louis, MO, USA
| | | | - Erik Garrison
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
- University of Tennessee Health Science Center; Memphis, TN, USA
| | - Patrick G.S. Grady
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | | | - Ira M. Hall
- Department of Genetics, Yale University School of Medicine; New Haven, CT, USA
| | - Nancy F. Hansen
- Comparative Genomics Analysis Unit, Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Gabrielle A. Hartley
- Institute for Systems Genomics and 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
| | | | | | - Chirag Jain
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
- Department of Computational and Data Sciences, Indian Institute of Science; Bangalore KA, India
| | - Miten Jain
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Erich D. Jarvis
- Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab, The Rockefeller University; New York, NY, USA
- Howard Hughes Medical Institute; Chevy Chase, MD, USA
| | | | - Melanie Kirsche
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California, San Diego; San Diego, CA, USA
| | | | - Milinn Kremitzki
- McDonnell Genome Institute, Washington University in St. Louis; St. Louis, MO, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute; Boston, MA
- Department of Biomedical Informatics, Harvard Medical School; Boston, MA
| | - Valerie V. Maduro
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Tobias Marschall
- Heinrich Heine University Düsseldorf, Medical Faculty, Institute for Medical Biometry and Bioinformatics; Düsseldorf, Germany
| | - Ann M. McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Danny E. Miller
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children’s Hospital; Seattle, WA, USA
| | - James C. Mullikin
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
- Comparative Genomics Analysis Unit, Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Eugene W. Myers
- Max-Planck Institute of Molecular Cell Biology and Genetics; Dresden, Germany
| | - Nathan D. Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | | | - Pavel A. Pevzner
- Department of Computer Science and Engineering, University of California, San Diego; San Diego, CA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research; Kansas City, MO, 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
| | | | - Steven L. Salzberg
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine; Houston TX, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Colin J. Shew
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA
| | - Ying Sims
- Wellcome Sanger Institute; Cambridge, UK
| | | | - Daniela C. Soto
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Ivan Sović
- Pacific Biosciences; Menlo Park, CA, USA
- Digital BioLogic d.o.o.; Ivanić-Grad, Croatia
| | | | - Aaron Streets
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA, USA
- Chan Zuckerberg Biohub; San Francisco, CA, USA
| | - Beth A. Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine; Durham, NC, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | | | - Justin Wagner
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Brian P. Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | | | | | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | - Stephanie M. Yan
- Department of Biology, Johns Hopkins University; Baltimore, MD, USA
| | - Alice C. Young
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh; Pittsburgh, PA, USA
| | - Rajiv C. McCoy
- Department of Biology, Johns Hopkins University; Baltimore, MD, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Ivan A. Alexandrov
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University; Saint Petersburg, Russia
- Vavilov Institute of General Genetics; Moscow, Russia
- Research Center of Biotechnology of the Russian Academy of Sciences; Moscow, Russia
| | - Jennifer L. Gerton
- Stowers Institute for Medical Research; Kansas City, MO, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical School; Kansas City, MO, USA
| | - Rachel J. O’Neill
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, 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
| | - 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
- Department of Biology, Johns Hopkins University; Baltimore, MD, 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
| | - 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
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
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9
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Edwards MM, Zuccaro MV, Sagi I, Ding Q, Vershkov D, Benvenisty N, Egli D, Koren A. Delayed DNA replication in haploid human embryonic stem cells. Genome Res 2021; 31:2155-2169. [PMID: 34810218 PMCID: PMC8647822 DOI: 10.1101/gr.275953.121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022]
Abstract
Haploid human embryonic stem cells (ESCs) provide a powerful genetic system but diploidize at high rates. We hypothesized that diploidization results from aberrant DNA replication. To test this, we profiled DNA replication timing in isogenic haploid and diploid ESCs. The greatest difference was the earlier replication of the X Chromosome in haploids, consistent with the lack of X-Chromosome inactivation. We also identified 21 autosomal regions that had delayed replication in haploids, extending beyond the normal S phase and into G2/M. Haploid-delays comprised a unique set of quiescent genomic regions that are also underreplicated in polyploid placental cells. The same delays were observed in female ESCs with two active X Chromosomes, suggesting that increased X-Chromosome dosage may cause delayed autosomal replication. We propose that incomplete replication at the onset of mitosis could prevent cell division and result in re-entry into the cell cycle and whole genome duplication.
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Affiliation(s)
- Matthew M Edwards
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
| | - Michael V Zuccaro
- Department of Pediatrics and Naomi Berrie Diabetes Center, Columbia University, New York, New York 10032, USA
- Columbia University Stem Cell Initiative, New York, New York 10032, USA
| | - Ido Sagi
- The Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel
| | - Qiliang Ding
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
| | - Dan Vershkov
- The Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel
| | - Nissim Benvenisty
- The Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel
| | - Dieter Egli
- Department of Pediatrics and Naomi Berrie Diabetes Center, Columbia University, New York, New York 10032, USA
- Columbia University Stem Cell Initiative, New York, New York 10032, USA
| | - Amnon Koren
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
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10
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Giacometti C, Bellan E, Ambrosi A, Dei Tos AP, Cassaro M, Ludwig K. "While there is p57, there is hope." The past and the present of diagnosis in first trimester abortions: Diagnostic dilemmas and algorithmic approaches. A review. Placenta 2021; 116:31-37. [PMID: 33714612 DOI: 10.1016/j.placenta.2021.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/29/2021] [Accepted: 02/18/2021] [Indexed: 11/18/2022]
Abstract
Distinction of hydatidiform moles (HM) from non-molar (NM) specimens and subclassification of HM as complete hydatidiform mole (CHM) versus partial hydatidiform mole (PHM) are important for clinical practice and investigational studies. The issue of diagnostic reproducibility is still unsolved, the lack of diagnostic accuracy based on morphology is substantial with an important interobserver variability, even between experienced gynecologic pathologists. Many ancillary techniques have been investigated in the last years to refine HM diagnosis. p57 (a paternally imprinted, maternally expressed gene) immunohistochemistry, based on the unique genetics of CHM (purely androgenetic), PHM (diandric triploid), and NM specimens (biparental, with allelic balance) can identify CHMs, which lack p57 expression because of a lack of maternal DNA. However, although its role in HM diagnosis is pivotal, it does not allow the distinction of PHM from NM specimens, both of which express p57 due to the presence of maternal DNA. Molecular genotyping, which compares villous and decidual DNA patterns to determine the parental source and ratios of polymorphic alleles, distinguishes purely androgenetic CHM from diandric triploid PHM, and both of these from NM specimens. Beyond the claim of establishing a "diagnostic truth", exceptions and peculiar genetic scenarios in the origin of rare CHM and PHM should be kept in mind when approaching any ancillary technique. An algorithmic approach, even in settings with limited resources, can help the pathologists in the diagnostic dilemma of diagnosis of first trimester abortions.
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Affiliation(s)
- Cinzia Giacometti
- Department of Services, Pathology Unit, ULSS 6 "Euganea", Via P. Cosma, 1 - 35012 Camposampiero (Padua), Italy.
| | - Elena Bellan
- Department of Medicine, Pathology Unit, University of Padua, Via A. Gabelli, 61 - 35128, Padua, Italy.
| | - Alessandro Ambrosi
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina, 58- 20132, Milan, Italy.
| | - Angelo Paolo Dei Tos
- Department of Medicine, Pathology Unit, University of Padua, Via A. Gabelli, 61 - 35128, Padua, Italy.
| | - Mauro Cassaro
- Department of Services, Pathology Unit, ULSS 6 "Euganea", Via P. Cosma, 1 - 35012 Camposampiero (Padua), Italy.
| | - Kathrin Ludwig
- Department of Medicine - Pathology & Cytopathology Unit, Padua University Hospital, Via Giustiniani, 2 - 35121 Padua, Italy.
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11
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King JR, Wilson ML, Hetey S, Kiraly P, Matsuo K, Castaneda AV, Toth E, Krenacs T, Hupuczi P, Mhawech-Fauceglia P, Balogh A, Szilagyi A, Matko J, Papp Z, Roman LD, Cortessis VK, Than NG. Dysregulation of Placental Functions and Immune Pathways in Complete Hydatidiform Moles. Int J Mol Sci 2019; 20:E4999. [PMID: 31658584 PMCID: PMC6829352 DOI: 10.3390/ijms20204999] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 12/17/2022] Open
Abstract
Gene expression studies of molar pregnancy have been limited to a small number of candidate loci. We analyzed high-dimensional RNA and protein data to characterize molecular features of complete hydatidiform moles (CHMs) and corresponding pathologic pathways. CHMs and first trimester placentas were collected, histopathologically examined, then flash-frozen or paraffin-embedded. Frozen CHMs and control placentas were subjected to RNA-Seq, with resulting data and published placental RNA-Seq data subjected to bioinformatics analyses. Paraffin-embedded tissues from CHMs and control placentas were used for tissue microarray (TMA) construction, immunohistochemistry, and immunoscoring for galectin-14. Of the 14,022 protein-coding genes expressed in all samples, 3,729 were differentially expressed (DE) in CHMs, of which 72% were up-regulated. DE genes were enriched in placenta-specific genes (OR = 1.88, p = 0.0001), of which 79% were down-regulated, imprinted genes (OR = 2.38, p = 1.54 × 10-6), and immune genes (OR = 1.82, p = 7.34 × 10-18), of which 73% were up-regulated. DNA methylation-related enzymes and histone demethylases were dysregulated. "Cytokine-cytokine receptor interaction" was the most impacted of 38 dysregulated pathways, among which 17 were immune-related pathways. TMA-based immunoscoring validated the lower expression of galectin-14 in CHM. In conclusion, placental functions were down-regulated, imprinted gene expression was altered, and immune pathways were activated, indicating complex dysregulation of placental developmental and immune processes in CHMs.
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Affiliation(s)
- Jennifer R King
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Melissa L Wilson
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Szabolcs Hetey
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
| | - Peter Kiraly
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
| | - Koji Matsuo
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Antonio V Castaneda
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Eszter Toth
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
| | - Tibor Krenacs
- First Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary.
| | - Petronella Hupuczi
- Maternity Private Clinic of Obstetrics and Gynecology, H-1126 Budapest, Hungary.
| | - Paulette Mhawech-Fauceglia
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Andrea Balogh
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
| | - Andras Szilagyi
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
| | - Janos Matko
- Department of Immunology, Institute of Biology, Eotvos Lorand University, H-1117 Budapest, Hungary.
| | - Zoltan Papp
- Maternity Private Clinic of Obstetrics and Gynecology, H-1126 Budapest, Hungary.
- Department of Obstetrics and Gynecology, Semmelweis University, H-1088 Budapest, Hungary.
| | - Lynda D Roman
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Victoria K Cortessis
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Nandor Gabor Than
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
- First Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary.
- Maternity Private Clinic of Obstetrics and Gynecology, H-1126 Budapest, Hungary.
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12
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Usui H, Nakabayashi K, Maehara K, Hata K, Shozu M. Genome-wide single nucleotide polymorphism array analysis unveils the origin of heterozygous androgenetic complete moles. Sci Rep 2019; 9:12542. [PMID: 31467376 PMCID: PMC6715694 DOI: 10.1038/s41598-019-49047-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 08/19/2019] [Indexed: 11/17/2022] Open
Abstract
Hydatidiform moles are abnormal pregnancies, which show trophoblastic hyperplasia. Most often, the nuclear genome in complete hydatidiform moles (CHMs) is composed of only paternal chromosomes. Diploid androgenetic conceptuses can be divided into homozygous and heterozygous CHMs. Heterozygous CHMs originate from two sperms or a diploid sperm, the distinction of which has not been established. Here, we assessed the origin of heterozygous CHMs using single nucleotide polymorphism (SNP) array. Thirteen heterozygous CHMs were analysed using B allele frequency (BAF) plotting to determine the centromeric zygosity status of all chromosomes. One case was from the duplication of a single sperm with an XY chromosome. In the other twelve cases, centromeric zygosity was random, i.e. mixed status. Thus, the twelve heterozygous CHMs were considered to be of dispermic origin but not diploid sperm origin. BAF plotting of SNP array can be a powerful tool to estimate the type of hydatidiform moles.
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Affiliation(s)
- Hirokazu Usui
- Department of Reproductive Medicine, Graduate School of Medicine, Chiba University, Chiba, Chiba, 260-8670, Japan.
| | - Kazuhiko Nakabayashi
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya, Tokyo, 157-8535, Japan
| | - Kayoko Maehara
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya, Tokyo, 157-8535, Japan.,Department of Nutrition, Graduate School of Health Sciences, Kio University, Kitakatsuragi, Nara, 635-0832, Japan
| | - Kenichiro Hata
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya, Tokyo, 157-8535, Japan
| | - Makio Shozu
- Department of Reproductive Medicine, Graduate School of Medicine, Chiba University, Chiba, Chiba, 260-8670, Japan
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13
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Maggiolini FAM, Cantsilieris S, D’Addabbo P, Manganelli M, Coe BP, Dumont BL, Sanders AD, Pang AWC, Vollger MR, Palumbo O, Palumbo P, Accadia M, Carella M, Eichler EE, Antonacci F. Genomic inversions and GOLGA core duplicons underlie disease instability at the 15q25 locus. PLoS Genet 2019; 15:e1008075. [PMID: 30917130 PMCID: PMC6436712 DOI: 10.1371/journal.pgen.1008075] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 03/07/2019] [Indexed: 11/19/2022] Open
Abstract
Human chromosome 15q25 is involved in several disease-associated structural rearrangements, including microdeletions and chromosomal markers with inverted duplications. Using comparative fluorescence in situ hybridization, strand-sequencing, single-molecule, real-time sequencing and Bionano optical mapping analyses, we investigated the organization of the 15q25 region in human and nonhuman primates. We found that two independent inversions occurred in this region after the fission event that gave rise to phylogenetic chromosomes XIV and XV in humans and great apes. One of these inversions is still polymorphic in the human population today and may confer differential susceptibility to 15q25 microdeletions and inverted duplications. The inversion breakpoints map within segmental duplications containing core duplicons of the GOLGA gene family and correspond to the site of an ancestral centromere, which became inactivated about 25 million years ago. The inactivation of this centromere likely released segmental duplications from recombination repression typical of centromeric regions. We hypothesize that this increased the frequency of ectopic recombination creating a hotspot of hominid inversions where dispersed GOLGA core elements now predispose this region to recurrent genomic rearrangements associated with disease.
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Affiliation(s)
| | - Stuart Cantsilieris
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, United States of America
| | - Pietro D’Addabbo
- Dipartimento di Biologia, Università degli Studi di Bari “Aldo Moro”, Bari, Italy
| | - Michele Manganelli
- Dipartimento di Biologia, Università degli Studi di Bari “Aldo Moro”, Bari, Italy
| | - Bradley P. Coe
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, United States of America
| | - Beth L. Dumont
- The Jackson Laboratory, Bar Harbor, ME, United States of America
| | - Ashley D. Sanders
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, Heidelberg, Germany
| | | | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, United States of America
| | - Orazio Palumbo
- Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy
| | - Pietro Palumbo
- Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy
| | - Maria Accadia
- Medical Genetics Service, Hospital “Cardinale G. Panico”, Via San Pio X n°4, Tricase, LE, Italy
| | - Massimo Carella
- Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, United States of America
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, United States of America
| | - Francesca Antonacci
- Dipartimento di Biologia, Università degli Studi di Bari “Aldo Moro”, Bari, Italy
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14
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Audano PA, Sulovari A, Graves-Lindsay TA, Cantsilieris S, Sorensen M, Welch AE, Dougherty ML, Nelson BJ, Shah A, Dutcher SK, Warren WC, Magrini V, McGrath SD, Li YI, Wilson RK, Eichler EE. Characterizing the Major Structural Variant Alleles of the Human Genome. Cell 2019; 176:663-675.e19. [PMID: 30661756 PMCID: PMC6438697 DOI: 10.1016/j.cell.2018.12.019] [Citation(s) in RCA: 285] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 09/01/2018] [Accepted: 12/12/2018] [Indexed: 12/17/2022]
Abstract
In order to provide a comprehensive resource for human structural variants (SVs), we generated long-read sequence data and analyzed SVs for fifteen human genomes. We sequence resolved 99,604 insertions, deletions, and inversions including 2,238 (1.6 Mbp) that are shared among all discovery genomes with an additional 13,053 (6.9 Mbp) present in the majority, indicating minor alleles or errors in the reference. Genotyping in 440 additional genomes confirms the most common SVs in unique euchromatin are now sequence resolved. We report a ninefold SV bias toward the last 5 Mbp of human chromosomes with nearly 55% of all VNTRs (variable number of tandem repeats) mapping to this portion of the genome. We identify SVs affecting coding and noncoding regulatory loci improving annotation and interpretation of functional variation. These data provide the framework to construct a canonical human reference and a resource for developing advanced representations capable of capturing allelic diversity.
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Affiliation(s)
- Peter A Audano
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Tina A Graves-Lindsay
- McDonnell Genome Institute, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Stuart Cantsilieris
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Melanie Sorensen
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - AnneMarie E Welch
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Max L Dougherty
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Bradley J Nelson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Ankeeta Shah
- Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL 60637, USA
| | - Susan K Dutcher
- McDonnell Genome Institute, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Wesley C Warren
- McDonnell Genome Institute, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Vincent Magrini
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA; The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Sean D McGrath
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA
| | - Yang I Li
- Section of Genetic Medicine, University of Chicago, Chicago, IL 60637, USA; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Richard K Wilson
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA; The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
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15
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Clinical and genetic-epigenetic aspects of recurrent hydatidiform mole: A review of literature. Taiwan J Obstet Gynecol 2018; 57:1-6. [DOI: 10.1016/j.tjog.2017.12.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2017] [Indexed: 11/19/2022] Open
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16
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Ogeh D, Badge R. A pipeline for local assembly of minisatellite alleles from single-molecule sequencing data. Bioinformatics 2017; 33:650-653. [PMID: 27998939 PMCID: PMC5408865 DOI: 10.1093/bioinformatics/btw687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 10/28/2016] [Indexed: 12/22/2022] Open
Abstract
Motivation The advent of Next Generation Sequencing (NGS) has led to the generation of enormous volumes of short read sequence data, cheaply and in reasonable time scales. Nevertheless, the quality of genome assemblies generated using NGS technologies has been greatly affected, compared to those generated using Sanger DNA sequencing. This is largely due to the inability of short read sequence data to scaffold repetitive structures, creating gaps, inversions and rearrangements and resulting in assemblies that are, at best, draft forms. Third generation single-molecule sequencing (SMS) technologies (e.g. Pacific Biosciences Single Molecule Real Time (SMRT) system) address this challenge by generating sequences with increased read lengths, offering the prospect to better recover these complex repetitive structures, concomitantly improving assembly quality. Results Here, we evaluate the ability of SMS data (specifically human genome Pacific Biosciences SMRT data) to recover poorly represented repetitive sequences (specifically, GC-rich human minisatellites). To do this we designed a pipeline for the collection, processing and local assembly of single-molecule sequence data to form accurate contiguous local reconstructions. Our results show the recovery of an allele of the non-coding minisatellite MS1 (located on chromosome 1 at 1p33-35) at greater than 97% identity to reference (GRCh38) from the unprocessed sequence data of a haploid complete hydatidiform mole (CHM1) cell line. Furthermore, our assembly revealed an allele of over 500 repeat units; much larger than the reference (GRCh38), but consistent in structure with naturally occurring alleles that are segregating in human populations. This local assembly's reconstruction was validated with the release of the whole genome assemblies GCA_001297185.1 and GCA_000772585.3, where this allele occurs. Additionally, application of this pipeline to coding minisatellites in the PRDM9 and ZNF93 genes enabled recovery of high identity allele structures for these sequence regions whose length was confirmed by PCR from cell line genomic DNA. The internal repeat structure of the PRDM9 allele recovered was consistent with common human-specific alleles. Availability and Implementation Code available at https://github.com/ndliberial/smrt_pipeline. Contact dno2@le.ac.uk.
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Affiliation(s)
- Denye Ogeh
- Department of Genetics, University of Leicester, Leicester, UK
- To whom correspondence should be addressed.
| | - Richard Badge
- Department of Genetics, University of Leicester, Leicester, UK
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17
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Schneider VA, Graves-Lindsay T, Howe K, Bouk N, Chen HC, Kitts PA, Murphy TD, Pruitt KD, Thibaud-Nissen F, Albracht D, Fulton RS, Kremitzki M, Magrini V, Markovic C, McGrath S, Steinberg KM, Auger K, Chow W, Collins J, Harden G, Hubbard T, Pelan S, Simpson JT, Threadgold G, Torrance J, Wood JM, Clarke L, Koren S, Boitano M, Peluso P, Li H, Chin CS, Phillippy AM, Durbin R, Wilson RK, Flicek P, Eichler EE, Church DM. Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly. Genome Res 2017; 27:849-864. [PMID: 28396521 PMCID: PMC5411779 DOI: 10.1101/gr.213611.116] [Citation(s) in RCA: 569] [Impact Index Per Article: 81.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 03/14/2017] [Indexed: 11/24/2022]
Abstract
The human reference genome assembly plays a central role in nearly all aspects of today's basic and clinical research. GRCh38 is the first coordinate-changing assembly update since 2009; it reflects the resolution of roughly 1000 issues and encompasses modifications ranging from thousands of single base changes to megabase-scale path reorganizations, gap closures, and localization of previously orphaned sequences. We developed a new approach to sequence generation for targeted base updates and used data from new genome mapping technologies and single haplotype resources to identify and resolve larger assembly issues. For the first time, the reference assembly contains sequence-based representations for the centromeres. We also expanded the number of alternate loci to create a reference that provides a more robust representation of human population variation. We demonstrate that the updates render the reference an improved annotation substrate, alter read alignments in unchanged regions, and impact variant interpretation at clinically relevant loci. We additionally evaluated a collection of new de novo long-read haploid assemblies and conclude that although the new assemblies compare favorably to the reference with respect to continuity, error rate, and gene completeness, the reference still provides the best representation for complex genomic regions and coding sequences. We assert that the collected updates in GRCh38 make the newer assembly a more robust substrate for comprehensive analyses that will promote our understanding of human biology and advance our efforts to improve health.
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Affiliation(s)
- Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Tina Graves-Lindsay
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Kerstin Howe
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Nathan Bouk
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Hsiu-Chuan Chen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Paul A Kitts
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Derek Albracht
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Robert S Fulton
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Milinn Kremitzki
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Vincent Magrini
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Chris Markovic
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Sean McGrath
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | | | - Kate Auger
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - William Chow
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Joanna Collins
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Glenn Harden
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Timothy Hubbard
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Sarah Pelan
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Jared T Simpson
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Glen Threadgold
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - James Torrance
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Jonathan M Wood
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | | | - Paul Peluso
- Pacific Biosciences, Menlo Park, California 94025, USA
| | - Heng Li
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | | | - Adam M Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Richard Durbin
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Richard K Wilson
- McDonnell Genome Institute at Washington University, St. Louis, Missouri 63018, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
| | - Deanna M Church
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
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18
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Dennis MY, Harshman L, Nelson BJ, Penn O, Cantsilieris S, Huddleston J, Antonacci F, Penewit K, Denman L, Raja A, Baker C, Mark K, Malig M, Janke N, Espinoza C, Stessman HAF, Nuttle X, Hoekzema K, Lindsay-Graves TA, Wilson RK, Eichler EE. The evolution and population diversity of human-specific segmental duplications. Nat Ecol Evol 2017; 1:69. [PMID: 28580430 PMCID: PMC5450946 DOI: 10.1038/s41559-016-0069] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Segmental duplications contribute to human evolution, adaptation and genomic instability but are often poorly characterized. We investigate the evolution, genetic variation and coding potential of human-specific segmental duplications (HSDs). We identify 218 HSDs based on analysis of 322 deeply sequenced archaic and contemporary hominid genomes. We sequence 550 human and nonhuman primate genomic clones to reconstruct the evolution of the largest, most complex regions with protein-coding potential (n=80 genes/33 gene families). We show that HSDs are non-randomly organized, associate preferentially with ancestral ape duplications termed “core duplicons”, and evolved primarily in an interspersed inverted orientation. In addition to Homo sapiens-specific gene expansions (e.g., TCAF1/2), we highlight ten gene families (e.g., ARHGAP11B and SRGAP2C) where copy number never returns to the ancestral state, there is evidence of mRNA splicing, and no common gene-disruptive mutations are observed in the general population. Such duplicates are candidates for the evolution of human-specific adaptive traits.
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Affiliation(s)
- Megan Y Dennis
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA 95616, USA.,Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Lana Harshman
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Bradley J Nelson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Osnat Penn
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Stuart Cantsilieris
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - John Huddleston
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Francesca Antonacci
- Dipartimento di Biologia, Università degli Studi di Bari "Aldo Moro", Bari 70125, Italy
| | - Kelsi Penewit
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Laura Denman
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Archana Raja
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Carl Baker
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Kenneth Mark
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Maika Malig
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Nicolette Janke
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Claudia Espinoza
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Holly A F Stessman
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Xander Nuttle
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Tina A Lindsay-Graves
- McDonnell Genome Institute at Washington University, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Richard K Wilson
- McDonnell Genome Institute at Washington University, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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19
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Steinberg KM, Schneider VA, Graves-Lindsay TA, Fulton RS, Agarwala R, Huddleston J, Shiryev SA, Morgulis A, Surti U, Warren WC, Church DM, Eichler EE, Wilson RK. Single haplotype assembly of the human genome from a hydatidiform mole. Genome Res 2014; 24:2066-76. [PMID: 25373144 PMCID: PMC4248323 DOI: 10.1101/gr.180893.114] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
A complete reference assembly is essential for accurately interpreting individual genomes and associating variation with phenotypes. While the current human reference genome sequence is of very high quality, gaps and misassemblies remain due to biological and technical complexities. Large repetitive sequences and complex allelic diversity are the two main drivers of assembly error. Although increasing the length of sequence reads and library fragments can improve assembly, even the longest available reads do not resolve all regions. In order to overcome the issue of allelic diversity, we used genomic DNA from an essentially haploid hydatidiform mole, CHM1. We utilized several resources from this DNA including a set of end-sequenced and indexed BAC clones and 100× Illumina whole-genome shotgun (WGS) sequence coverage. We used the WGS sequence and the GRCh37 reference assembly to create an assembly of the CHM1 genome. We subsequently incorporated 382 finished BAC clone sequences to generate a draft assembly, CHM1_1.1 (NCBI AssemblyDB GCA_000306695.2). Analysis of gene, repetitive element, and segmental duplication content show this assembly to be of excellent quality and contiguity. However, comparison to assembly-independent resources, such as BAC clone end sequences and PacBio long reads, indicate misassembled regions. Most of these regions are enriched for structural variation and segmental duplication, and can be resolved in the future. This publicly available assembly will be integrated into the Genome Reference Consortium curation framework for further improvement, with the ultimate goal being a completely finished gap-free assembly.
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Affiliation(s)
| | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | | | - Robert S Fulton
- The Genome Institute at Washington University, St. Louis, Missouri 63108, USA
| | - Richa Agarwala
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - John Huddleston
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
| | - Sergey A Shiryev
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Aleksandr Morgulis
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Urvashi Surti
- Department of Pathology and Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - Wesley C Warren
- The Genome Institute at Washington University, St. Louis, Missouri 63108, USA
| | | | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
| | - Richard K Wilson
- The Genome Institute at Washington University, St. Louis, Missouri 63108, USA
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20
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Kim HK, Park WC, Lee KM, Hwang HL, Park SY, Sorn S, Chandra V, Kim KG, Yoon WB, Bae JS, Shin HD, Shin JY, Seoh JY, Kim JI, Hong KM. Targeted next-generation sequencing at copy-number breakpoints for personalized analysis of rearranged ends in solid tumors. PLoS One 2014; 9:e100089. [PMID: 24937453 PMCID: PMC4061055 DOI: 10.1371/journal.pone.0100089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2014] [Accepted: 05/20/2014] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The concept of the utilization of rearranged ends for development of personalized biomarkers has attracted much attention owing to its clinical applicability. Although targeted next-generation sequencing (NGS) for recurrent rearrangements has been successful in hematologic malignancies, its application to solid tumors is problematic due to the paucity of recurrent translocations. However, copy-number breakpoints (CNBs), which are abundant in solid tumors, can be utilized for identification of rearranged ends. METHOD As a proof of concept, we performed targeted next-generation sequencing at copy-number breakpoints (TNGS-CNB) in nine colon cancer cases including seven primary cancers and two cell lines, COLO205 and SW620. For deduction of CNBs, we developed a novel competitive single-nucleotide polymorphism (cSNP) microarray method entailing CNB-region refinement by competitor DNA. RESULT Using TNGS-CNB, 19 specific rearrangements out of 91 CNBs (20.9%) were identified, and two polymerase chain reaction (PCR)-amplifiable rearrangements were obtained in six cases (66.7%). And significantly, TNGS-CNB, with its high positive identification rate (82.6%) of PCR-amplifiable rearrangements at candidate sites (19/23), just from filtering of aligned sequences, requires little effort for validation. CONCLUSION Our results indicate that TNGS-CNB, with its utility for identification of rearrangements in solid tumors, can be successfully applied in the clinical laboratory for cancer-relapse and therapy-response monitoring.
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Affiliation(s)
- Hyun-Kyoung Kim
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
- Department of Microbiology, Ewha Womans University School of Medicine, Seoul, Korea
| | - Won Cheol Park
- Department of Surgery, Wonkwang University School of Medicine, Iksan, Korea
| | - Kwang Man Lee
- Department of Surgery, Wonkwang University School of Medicine, Iksan, Korea
| | - Hai-Li Hwang
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Seong-Yeol Park
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Sungbin Sorn
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Vishal Chandra
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Kwang Gi Kim
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Woong-Bae Yoon
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
| | - Joon Seol Bae
- Laboratory of Translational Genomics, Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
| | - Hyoung Doo Shin
- Department of Life Science, Sogang University, Seoul, Korea
- Department of Genetic Epidemiology, SNP Genetics, Inc., Seoul, Korea
| | - Jong-Yeon Shin
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea
| | - Ju-Young Seoh
- Department of Microbiology, Ewha Womans University School of Medicine, Seoul, Korea
| | - Jong-Il Kim
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Kyeong-Man Hong
- Research Institute, National Cancer Center, Ilsandong-gu, Goyang, Korea
- * E-mail:
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21
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Dennis MY, Nuttle X, Sudmant PH, Antonacci F, Graves TA, Nefedov M, Rosenfeld JA, Sajjadian S, Malig M, Kotkiewicz H, Curry CJ, Shafer S, Shaffer LG, de Jong PJ, Wilson RK, Eichler EE. Evolution of human-specific neural SRGAP2 genes by incomplete segmental duplication. Cell 2012; 149:912-22. [PMID: 22559943 DOI: 10.1016/j.cell.2012.03.033] [Citation(s) in RCA: 266] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2011] [Revised: 02/17/2012] [Accepted: 03/01/2012] [Indexed: 10/28/2022]
Abstract
Gene duplication is an important source of phenotypic change and adaptive evolution. We leverage a haploid hydatidiform mole to identify highly identical sequences missing from the reference genome, confirming that the cortical development gene Slit-Robo Rho GTPase-activating protein 2 (SRGAP2) duplicated three times exclusively in humans. We show that the promoter and first nine exons of SRGAP2 duplicated from 1q32.1 (SRGAP2A) to 1q21.1 (SRGAP2B) ∼3.4 million years ago (mya). Two larger duplications later copied SRGAP2B to chromosome 1p12 (SRGAP2C) and to proximal 1q21.1 (SRGAP2D) ∼2.4 and ∼1 mya, respectively. Sequence and expression analyses show that SRGAP2C is the most likely duplicate to encode a functional protein and is among the most fixed human-specific duplicate genes. Our data suggest a mechanism where incomplete duplication created a novel gene function-antagonizing parental SRGAP2 function-immediately "at birth" 2-3 mya, which is a time corresponding to the transition from Australopithecus to Homo and the beginning of neocortex expansion.
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Affiliation(s)
- Megan Y Dennis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, 98195, USA
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22
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Abstract
Gestational trophoblastic disease consists of well-defined diagnostic entities of proliferative disorder of the placenta, of which hydatidiform moles are common lesions. Even with available ancillary studies, including ploidy and immunohistochemistry analyses, histological diagnosis of molar pregnancies can be challenging in a significant percentage of the cases. Reliable diagnostic approaches with improved sensitivity and specificity are highly desirable. Recently, PCR-based short tandem repeat DNA genotyping has emerged as a powerful diagnostic measure in the workup of gestational trophoblastic disorders, particularly hydatidiform moles.
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Affiliation(s)
- Pei Hui
- Department of Pathology, Yale University School of Medicine, BML 254B, 310 Cedar Street, New Haven, CT 06520-8023, USA.
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23
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A large and complex structural polymorphism at 16p12.1 underlies microdeletion disease risk. Nat Genet 2010; 42:745-50. [PMID: 20729854 PMCID: PMC2930074 DOI: 10.1038/ng.643] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2010] [Accepted: 07/15/2010] [Indexed: 01/11/2023]
Abstract
There is a complex relationship between the evolution of segmental duplications and rearrangements associated with human disease. We performed a detailed analysis of one region on chromosome 16p12.1 associated with neurocognitive disease and identified one of the largest structural inconsistencies with the human reference assembly. Various genomic analyses show that all examined humans are homozygously inverted relative to the reference genome for a 1.1-Mbp region on 16p12.1. We determined that this assembly discrepancy stems from two common structural configurations with worldwide frequencies of 17.6% (S1) and 82.4% (S2). This polymorphism arose from the rapid integration of segmental duplications, precipitating two local inversions within the human lineage over the last 10 million years. The two human haplotypes differ by 333 kbp of additional duplicated sequence present in S2 but not in S1. Importantly, we show that the S2 configuration harbors directly oriented duplications specifically predisposing this chromosome to disease rearrangement.
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Gestational choriocarcinoma analyzed by polymerase chain reaction amplification of polymorphic VNTR and human leukocyte antigen regions. Int J Gynaecol Obstet 2010; 110:152-4. [DOI: 10.1016/j.ijgo.2010.03.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2009] [Revised: 03/03/2010] [Accepted: 03/15/2010] [Indexed: 11/23/2022]
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Morales C, Soler A, Mademont-Soler I, Sánchez A. The unresolved origin of uniparental diploid cell lines. Fertil Steril 2010. [DOI: 10.1016/j.fertnstert.2009.10.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Diagnosis and Subclassification of Hydatidiform Moles Using p57 Immunohistochemistry and Molecular Genotyping: Validation and Prospective Analysis in Routine and Consultation Practice Settings With Development of an Algorithmic Approach. Am J Surg Pathol 2009; 33:805-17. [DOI: 10.1097/pas.0b013e318191f309] [Citation(s) in RCA: 96] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Higasa K, Kukita Y, Kato K, Wake N, Tahira T, Hayashi K. Evaluation of haplotype inference using definitive haplotype data obtained from complete hydatidiform moles, and its significance for the analyses of positively selected regions. PLoS Genet 2009; 5:e1000468. [PMID: 19424418 PMCID: PMC2670534 DOI: 10.1371/journal.pgen.1000468] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2008] [Accepted: 04/06/2009] [Indexed: 11/18/2022] Open
Abstract
The haplotype map constructed by the HapMap Project is a valuable resource in the genetic studies of disease genes, population structure, and evolution. In the Project, Caucasian and African haplotypes are fairly accurately inferred, based mainly on the rules of Mendelian inheritance using the genotypes of trios. However, the Asian haplotypes are inferred from the genotypes of unrelated individuals based on population genetics, and are less accurate. Thus, the effects of this inaccuracy on downstream analyses needs to be assessed. We determined true Japanese haplotypes by genotyping 100 complete hydatidiform moles (CHM), each carrying a genome derived from a single sperm, using Affymetrix 500 K Arrays. We then assessed how inferred haplotypes can differ from true haplotypes, by phasing pseudo-individualized true haplotypes using the programs PHASE, fastPHASE, and Beagle. We found that, at various genomic regions, especially the MHC locus, the expansion of extended haplotype homozygosity (EHH), which is a measure of positive selection, is obscured when inferred Asian haplotype data is used to detect the expansion. We then mapped the genome using a new statistic, XDiHH, which directly detects the difference between the true and inferred haplotypes, in the determination of EHH expansion. We also show that the true haplotype data presented here is useful to assess and improve the accuracy of phasing of Asian genotypes.
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Affiliation(s)
- Koichiro Higasa
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Yoji Kukita
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Kiyoko Kato
- Division of Molecular and Cell Therapeutics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Norio Wake
- Division of Molecular and Cell Therapeutics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Tomoko Tahira
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Kenshi Hayashi
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- * E-mail:
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Higasa K, Miyatake K, Kukita Y, Tahira T, Hayashi K. D-HaploDB: a database of definitive haplotypes determined by genotyping complete hydatidiform mole samples. Nucleic Acids Res 2006; 35:D685-9. [PMID: 17166862 PMCID: PMC1781173 DOI: 10.1093/nar/gkl848] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The Definitive Haplotype Database (D-HaploDB) is a web-accessible resource of genome-wide definitive haplotypes determined from a collection of Japanese complete hydatidiform moles (CHMs), each of which carries a genome derived from a single sperm. Currently, the database contains genotypes for 281 439 common SNPs from 74 CHMs which were determined by a high-throughput array-based oligonucleotide hybridization technique. The database also presents maps of haplotype blocks and linkage disequilibrium bins together with tagSNPs that might prove useful for association studies of disease genes. Cryptic relatedness among the samples in this study is unlikely, because the formation of a CHM is a maternal event of rare sporadic occurrence, and its genotype is that of the incoming sperm. This is demonstrated by the absence of long extended shared haplotypes (ESHs). The D-HaploDB is freely accessible via the Internet at http://orca.gen.kyushu-u.ac.jp.
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Affiliation(s)
| | | | | | | | - Kenshi Hayashi
- To whom correspondence should be addressed. Tel: +81 92 642 6171; Fax: +81 92 632 2375; E-mail:
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Kukita Y, Miyatake K, Stokowski R, Hinds D, Higasa K, Wake N, Hirakawa T, Kato H, Matsuda T, Pant K, Cox D, Tahira T, Hayashi K. Genome-wide definitive haplotypes determined using a collection of complete hydatidiform moles. Genome Res 2006; 15:1511-8. [PMID: 16251461 PMCID: PMC1310639 DOI: 10.1101/gr.4371105] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
We present genome-wide definitive haplotypes, determined using a collection of 74 Japanese complete hydatidiform moles, each carrying a genome derived from a single sperm. The haplotypes incorporate 281,439 common SNPs, genotyped with a high throughput array-based oligonucleotide hybridization technique. Comparison of haplotypes inferred from pseudoindividuals (constructed from randomized mole pairs) with those of moles showed some switch errors in resolution of phases by the computational inference method. The effects of these errors on local haplotype structure and selection of tag SNPs are discussed. We also show that definitive haplotypes of moles may be useful for elucidation of long-range haplotype structure, and should be more effective for detecting extended haplotype homozygosity indicative of positive selection.
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Affiliation(s)
- Yoji Kukita
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Fukuoka 812-8582, Japan
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Lai CYL, Chan KYK, Khoo US, Ngan HYS, Xue WC, Chiu PM, Tsao SW, Cheung ANY. Analysis of gestational trophoblastic disease by genotyping and chromosome in situ hybridization. Mod Pathol 2004; 17:40-8. [PMID: 14631372 DOI: 10.1038/modpathol.3800010] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Hydatidiform mole is classified into partial and complete subtypes according to histopathological and genetic criteria. Distinction between the two by histology alone may be difficult. Genetically, a complete mole is diploid without maternal contribution, whereas a partial mole is triploid with a maternal chromosome complement. To assess the accuracy of histological diagnosis by correlating with the genetic composition, we performed fluorescent microsatellite genotyping to detect the presence or absence of maternal genome in a hydatidiform mole and carried out chromosome in situ hybridization to analyze the ploidy. For genotyping analysis, paraffin sections of 36 complete and nine partial moles, diagnosed according to histological criteria, were microdissected and DNA was separately extracted from the decidua and molar villi. Six pairs of primers that flank polymorphic microsatellite repeat sequences on five different chromosomes were used. In all, 34 cases, including 31 complete moles and three partial moles diagnosed histologically, showed no maternal contribution by genotyping; thus these could be genetically considered as complete mole. The other 11 cases (five complete moles and six partial moles previously diagnosed by histology) showed the presence of maternal contribution and were genetically diagnosed as partial moles. The genotyping results correlated with histological evaluation in 88% (37/45) of hydatidiform mole and correlated with chromosome in situ hybridization findings in all the cases, that is, triploid hydatidiform moles had maternal-derived alleles, while diploid hydatidiform moles were purely androgenetic. Compared with genetic diagnosis, histological evaluation was more reliable for the diagnosis of a complete mole (91%, 31/34) than that of a partial mole (55%, 6/11) (P=0.0033). Seven complete moles and three partial moles diagnosed genetically developed gestational trophoblastic neoplasia. To conclude, genotyping and chromosome in situ hybridization can provide reliable adjunct to histology for the classification of a hydatidiform mole, especially in cases with difficult histological evaluation and early gestational age. As a partial mole still carries a risk of developing gestational trophoblastic neoplasia, follow-up is considered necessary for both complete and partial moles.
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Affiliation(s)
- Caroline Y L Lai
- Department of Pathology, The University of Hong Kong, Hong Kong, China
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Kennedy GC, Matsuzaki H, Dong S, Liu WM, Huang J, Liu G, Su X, Cao M, Chen W, Zhang J, Liu W, Yang G, Di X, Ryder T, He Z, Surti U, Phillips MS, Boyce-Jacino MT, Fodor SPA, Jones KW. Large-scale genotyping of complex DNA. Nat Biotechnol 2003; 21:1233-7. [PMID: 12960966 DOI: 10.1038/nbt869] [Citation(s) in RCA: 449] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2003] [Accepted: 07/16/2003] [Indexed: 02/07/2023]
Abstract
Genetic studies aimed at understanding the molecular basis of complex human phenotypes require the genotyping of many thousands of single-nucleotide polymorphisms (SNPs) across large numbers of individuals. Public efforts have so far identified over two million common human SNPs; however, the scoring of these SNPs is labor-intensive and requires a substantial amount of automation. Here we describe a simple but effective approach, termed whole-genome sampling analysis (WGSA), for genotyping thousands of SNPs simultaneously in a complex DNA sample without locus-specific primers or automation. Our method amplifies highly reproducible fractions of the genome across multiple DNA samples and calls genotypes at >99% accuracy. We rapidly genotyped 14,548 SNPs in three different human populations and identified a subset of them with significant allele frequency differences between groups. We also determined the ancestral allele for 8,386 SNPs by genotyping chimpanzee and gorilla DNA. WGSA is highly scaleable and enables the creation of ultrahigh density SNP maps for use in genetic studies.
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Affiliation(s)
- Giulia C Kennedy
- Affymetrix, 3380 Central Expressway, Santa Clara, California 95051, USA.
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Weston GC, Ponnampalam A, Vollenhoven BJ, Healy DL, Rogers PAW. Genomics in obstetrics and gynaecology. Aust N Z J Obstet Gynaecol 2003; 43:264-72. [PMID: 14714710 DOI: 10.1046/j.0004-8666.2003.00085.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
With the Human Genome Project complete, and microarray technology progressing rapidly, the study of whole genomes has become a reality. The emerging field of genomics is full of promise, has become a cornerstone of commercial drug development, and looks certain to make a major contribution to clinical practice in the future. There is an increasing number of genomic studies concerned with obstetric and gynaecological conditions. Despite this, clinicians in their busy practices often lack a basic understanding of genomics and the tools involved in generating genome-based information. In the present review, we aim to provide the clinician with a basic overview of genomics--what it is, what tools it uses, and how it may benefit our patients. The existing published reports on genomic studies in the reproductive field is reviewed.
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Affiliation(s)
- Gareth C Weston
- Department of Obstetrics and Gynaecology, Monash Medical Centre, Monash University, Victoria, Australia.
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