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Using neuroimaging genomics to investigate the evolution of human brain structure
Alterations in brain size and organization represent some of the most distinctive changes in the emergence of our species. Yet, there is limited understanding of how genetic factors contributed to altered neuroanatomy during human evolution. Here, we analyze neuroimaging and genetic data from up to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546597/ https://www.ncbi.nlm.nih.gov/pubmed/36161899 http://dx.doi.org/10.1073/pnas.2200638119 |
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author | Alagöz, Gökberk Molz, Barbara Eising, Else Schijven, Dick Francks, Clyde Stein, Jason L. Fisher, Simon E. |
author_facet | Alagöz, Gökberk Molz, Barbara Eising, Else Schijven, Dick Francks, Clyde Stein, Jason L. Fisher, Simon E. |
author_sort | Alagöz, Gökberk |
collection | PubMed |
description | Alterations in brain size and organization represent some of the most distinctive changes in the emergence of our species. Yet, there is limited understanding of how genetic factors contributed to altered neuroanatomy during human evolution. Here, we analyze neuroimaging and genetic data from up to 30,000 people in the UK Biobank and integrate with genomic annotations for different aspects of human evolution, including those based on ancient DNA and comparative genomics. We show that previously reported signals of recent polygenic selection for cortical anatomy are not replicable in a more ancestrally homogeneous sample. We then investigate relationships between evolutionary annotations and common genetic variants shaping cortical surface area and white-matter connectivity for each hemisphere. Our analyses identify single-nucleotide polymorphism heritability enrichment in human-gained regulatory elements that are active in early brain development, affecting surface areas of several parts of the cortex, including left-hemispheric speech-associated regions. We also detect heritability depletion in genomic regions with Neanderthal ancestry for connectivity of the uncinate fasciculus; this is a white-matter tract involved in memory, language, and socioemotional processing with relevance to neuropsychiatric disorders. Finally, we show that common genetic loci associated with left-hemispheric pars triangularis surface area overlap with a human-gained enhancer and affect regulation of ZIC4, a gene implicated in neurogenesis. This work demonstrates how genomic investigations of present-day neuroanatomical variation can help shed light on the complexities of our evolutionary past. |
format | Online Article Text |
id | pubmed-9546597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-95465972022-10-08 Using neuroimaging genomics to investigate the evolution of human brain structure Alagöz, Gökberk Molz, Barbara Eising, Else Schijven, Dick Francks, Clyde Stein, Jason L. Fisher, Simon E. Proc Natl Acad Sci U S A Biological Sciences Alterations in brain size and organization represent some of the most distinctive changes in the emergence of our species. Yet, there is limited understanding of how genetic factors contributed to altered neuroanatomy during human evolution. Here, we analyze neuroimaging and genetic data from up to 30,000 people in the UK Biobank and integrate with genomic annotations for different aspects of human evolution, including those based on ancient DNA and comparative genomics. We show that previously reported signals of recent polygenic selection for cortical anatomy are not replicable in a more ancestrally homogeneous sample. We then investigate relationships between evolutionary annotations and common genetic variants shaping cortical surface area and white-matter connectivity for each hemisphere. Our analyses identify single-nucleotide polymorphism heritability enrichment in human-gained regulatory elements that are active in early brain development, affecting surface areas of several parts of the cortex, including left-hemispheric speech-associated regions. We also detect heritability depletion in genomic regions with Neanderthal ancestry for connectivity of the uncinate fasciculus; this is a white-matter tract involved in memory, language, and socioemotional processing with relevance to neuropsychiatric disorders. Finally, we show that common genetic loci associated with left-hemispheric pars triangularis surface area overlap with a human-gained enhancer and affect regulation of ZIC4, a gene implicated in neurogenesis. This work demonstrates how genomic investigations of present-day neuroanatomical variation can help shed light on the complexities of our evolutionary past. National Academy of Sciences 2022-09-26 2022-10-04 /pmc/articles/PMC9546597/ /pubmed/36161899 http://dx.doi.org/10.1073/pnas.2200638119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Alagöz, Gökberk Molz, Barbara Eising, Else Schijven, Dick Francks, Clyde Stein, Jason L. Fisher, Simon E. Using neuroimaging genomics to investigate the evolution of human brain structure |
title | Using neuroimaging genomics to investigate the evolution of human brain structure |
title_full | Using neuroimaging genomics to investigate the evolution of human brain structure |
title_fullStr | Using neuroimaging genomics to investigate the evolution of human brain structure |
title_full_unstemmed | Using neuroimaging genomics to investigate the evolution of human brain structure |
title_short | Using neuroimaging genomics to investigate the evolution of human brain structure |
title_sort | using neuroimaging genomics to investigate the evolution of human brain structure |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546597/ https://www.ncbi.nlm.nih.gov/pubmed/36161899 http://dx.doi.org/10.1073/pnas.2200638119 |
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