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  The Mobile Element Locator Tool (MELT): Population-scale mobile element discovery and biology

Gardner, E. J., Lam, V. K., Harris, D. N., Chuang, N. T., Scott, E. C., Pittard, W. S., Mills, R. E., 1000 Genomes Project, C., Timmermann, B., & Devine, S. E. (2017). The Mobile Element Locator Tool (MELT): Population-scale mobile element discovery and biology. Genome Research, 27(11), 1916-1929. doi:10.1101/gr.218032.116.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-0000-C7E3-F 版のパーマリンク: https://hdl.handle.net/21.11116/0000-0000-C7E4-E
資料種別: 学術論文

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Gardner.pdf (出版社版), 7MB
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https://hdl.handle.net/21.11116/0000-0000-C7E5-D
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Gardner.pdf
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© 2017 Gardner et al

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 作成者:
Gardner, Eugene J. , 著者
Lam, Vincent K. , 著者
Harris, Daniel N. , 著者
Chuang, Nelson T. , 著者
Scott, Emma C. , 著者
Pittard, W. Stephen , 著者
Mills, Ryan E. , 著者
1000 Genomes Project, Consortium, 著者
Timmermann, Bernd1, 2, 著者           
Devine, Scott E. , 著者
所属:
1Sequencing (Head: Bernd Timmermann), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479670              
21000 Genomes Project Consortium, ou_persistent22              

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 要旨: Mobile element insertions (MEIs) represent ∼25% of all structural variants in human genomes. Moreover, when they disrupt genes, MEIs can influence human traits and diseases. Therefore, MEIs should be fully discovered along with other forms of genetic variation in whole genome sequencing (WGS) projects involving population genetics, human diseases, and clinical genomics. Here, we describe the Mobile Element Locator Tool (MELT), which was developed as part of the 1000 Genomes Project to perform MEI discovery on a population scale. Using both Illumina WGS data and simulations, we demonstrate that MELT outperforms existing MEI discovery tools in terms of speed, scalability, specificity, and sensitivity, while also detecting a broader spectrum of MEI-associated features. Several run modes were developed to perform MEI discovery on local and cloud systems. In addition to using MELT to discover MEIs in modern humans as part of the 1000 Genomes Project, we also used it to discover MEIs in chimpanzees and ancient (Neanderthal and Denisovan) hominids. We detected diverse patterns of MEI stratification across these populations that likely were caused by (1) diverse rates of MEI production from source elements, (2) diverse patterns of MEI inheritance, and (3) the introgression of ancient MEIs into modern human genomes. Overall, our study provides the most comprehensive map of MEIs to date spanning chimpanzees, ancient hominids, and modern humans and reveals new aspects of MEI biology in these lineages. We also demonstrate that MELT is a robust platform for MEI discovery and analysis in a variety of experimental settings.

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言語: eng - English
 日付: 2017-08-302017-11
 出版の状態: 出版
 ページ: 14
 出版情報: -
 目次: -
 査読: -
 識別子(DOI, ISBNなど): DOI: 10.1101/gr.218032.116
PMC: PMC5668948
 学位: -

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出版物 1

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出版物名: Genome Research
種別: 学術雑誌
 著者・編者:
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出版社, 出版地: Cold Spring Harbor, N.Y. : Cold Spring Harbor Laboratory Press
ページ: - 巻号: 27 (11) 通巻号: - 開始・終了ページ: 1916 - 1929 識別子(ISBN, ISSN, DOIなど): ISSN: 1088-9051
CoNE: https://pure.mpg.de/cone/journals/resource/954926997202