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Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability.

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Title: Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability.
Authors: Bae, Taejeong, Fasching, Liana, Wang, Yifan, Shin, Joo Heon, Suvakov, Milovan, Jang, Yeongjun, Norton, Scott, Dias, Caroline, Mariani, Jessica, Jourdon, Alexandre, Wu, Feinan, Panda, Arijit, Pattni, Reenal, Chahine, Yasmine, Yeh, Rebecca, Roberts, Rosalinda C., Huttner, Anita, Kleinman, Joel E., Hyde, Thomas M., Straub, Richard E.
Source: Science (pre-March 2025). 7/29/2022, Vol. 377 Issue 6605, p511-517. 7p. 4 Color Photographs, 1 Chart.
Subjects: Tourette syndrome, Schizophrenia, DNA sequencing, Mutagenesis, Autism, Genetic regulation
Abstract: We analyzed 131 human brains (44 neurotypical, 19 with Tourette syndrome, 9 with schizophrenia, and 59 with autism) for somatic mutations after whole genome sequencing to a depth of more than 200×. Typically, brains had 20 to 60 detectable single-nucleotide mutations, but ~6% of brains harbored hundreds of somatic mutations. Hypermutability was associated with age and damaging mutations in genes implicated in cancers and, in some brains, reflected in vivo clonal expansions. Somatic duplications, likely arising during development, were found in ~5% of normal and diseased brains, reflecting background mutagenesis. Brains with autism were associated with mutations creating putative transcription factor binding motifs in enhancer-like regions in the developing brain. The top-ranked affected motifs corresponded to MEIS (myeloid ectopic viral integration site) transcription factors, suggesting a potential link between their involvement in gene regulation and autism. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability.
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  Data: <searchLink fieldCode="AR" term="%22Bae%2C+Taejeong%22">Bae, Taejeong</searchLink><br /><searchLink fieldCode="AR" term="%22Fasching%2C+Liana%22">Fasching, Liana</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yifan%22">Wang, Yifan</searchLink><br /><searchLink fieldCode="AR" term="%22Shin%2C+Joo+Heon%22">Shin, Joo Heon</searchLink><br /><searchLink fieldCode="AR" term="%22Suvakov%2C+Milovan%22">Suvakov, Milovan</searchLink><br /><searchLink fieldCode="AR" term="%22Jang%2C+Yeongjun%22">Jang, Yeongjun</searchLink><br /><searchLink fieldCode="AR" term="%22Norton%2C+Scott%22">Norton, Scott</searchLink><br /><searchLink fieldCode="AR" term="%22Dias%2C+Caroline%22">Dias, Caroline</searchLink><br /><searchLink fieldCode="AR" term="%22Mariani%2C+Jessica%22">Mariani, Jessica</searchLink><br /><searchLink fieldCode="AR" term="%22Jourdon%2C+Alexandre%22">Jourdon, Alexandre</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+Feinan%22">Wu, Feinan</searchLink><br /><searchLink fieldCode="AR" term="%22Panda%2C+Arijit%22">Panda, Arijit</searchLink><br /><searchLink fieldCode="AR" term="%22Pattni%2C+Reenal%22">Pattni, Reenal</searchLink><br /><searchLink fieldCode="AR" term="%22Chahine%2C+Yasmine%22">Chahine, Yasmine</searchLink><br /><searchLink fieldCode="AR" term="%22Yeh%2C+Rebecca%22">Yeh, Rebecca</searchLink><br /><searchLink fieldCode="AR" term="%22Roberts%2C+Rosalinda+C%2E%22">Roberts, Rosalinda C.</searchLink><br /><searchLink fieldCode="AR" term="%22Huttner%2C+Anita%22">Huttner, Anita</searchLink><br /><searchLink fieldCode="AR" term="%22Kleinman%2C+Joel+E%2E%22">Kleinman, Joel E.</searchLink><br /><searchLink fieldCode="AR" term="%22Hyde%2C+Thomas+M%2E%22">Hyde, Thomas M.</searchLink><br /><searchLink fieldCode="AR" term="%22Straub%2C+Richard+E%2E%22">Straub, Richard E.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 7/29/2022, Vol. 377 Issue 6605, p511-517. 7p. 4 Color Photographs, 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Tourette+syndrome%22">Tourette syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22DNA+sequencing%22">DNA sequencing</searchLink><br /><searchLink fieldCode="DE" term="%22Mutagenesis%22">Mutagenesis</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+regulation%22">Genetic regulation</searchLink>
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  Label: Abstract
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  Data: We analyzed 131 human brains (44 neurotypical, 19 with Tourette syndrome, 9 with schizophrenia, and 59 with autism) for somatic mutations after whole genome sequencing to a depth of more than 200×. Typically, brains had 20 to 60 detectable single-nucleotide mutations, but ~6% of brains harbored hundreds of somatic mutations. Hypermutability was associated with age and damaging mutations in genes implicated in cancers and, in some brains, reflected in vivo clonal expansions. Somatic duplications, likely arising during development, were found in ~5% of normal and diseased brains, reflecting background mutagenesis. Brains with autism were associated with mutations creating putative transcription factor binding motifs in enhancer-like regions in the developing brain. The top-ranked affected motifs corresponded to MEIS (myeloid ectopic viral integration site) transcription factors, suggesting a potential link between their involvement in gene regulation and autism. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=158233252
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