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Blood-based epigenome-wide analyses of cognitive abilities
BACKGROUND: Blood-based markers of cognitive functioning might provide an accessible way to track neurodegeneration years prior to clinical manifestation of cognitive impairment and dementia. RESULTS: Using blood-based epigenome-wide analyses of general cognitive function, we show that individual di...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762878/ https://www.ncbi.nlm.nih.gov/pubmed/35039062 http://dx.doi.org/10.1186/s13059-021-02596-5 |
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author | McCartney, Daniel L. Hillary, Robert F. Conole, Eleanor L. S. Banos, Daniel Trejo Gadd, Danni A. Walker, Rosie M. Nangle, Cliff Flaig, Robin Campbell, Archie Murray, Alison D. Maniega, Susana Muñoz Valdés-Hernández, María del C. Harris, Mathew A. Bastin, Mark E. Wardlaw, Joanna M. Harris, Sarah E. Porteous, David J. Tucker-Drob, Elliot M. McIntosh, Andrew M. Evans, Kathryn L. Deary, Ian J. Cox, Simon R. Robinson, Matthew R. Marioni, Riccardo E. |
author_facet | McCartney, Daniel L. Hillary, Robert F. Conole, Eleanor L. S. Banos, Daniel Trejo Gadd, Danni A. Walker, Rosie M. Nangle, Cliff Flaig, Robin Campbell, Archie Murray, Alison D. Maniega, Susana Muñoz Valdés-Hernández, María del C. Harris, Mathew A. Bastin, Mark E. Wardlaw, Joanna M. Harris, Sarah E. Porteous, David J. Tucker-Drob, Elliot M. McIntosh, Andrew M. Evans, Kathryn L. Deary, Ian J. Cox, Simon R. Robinson, Matthew R. Marioni, Riccardo E. |
author_sort | McCartney, Daniel L. |
collection | PubMed |
description | BACKGROUND: Blood-based markers of cognitive functioning might provide an accessible way to track neurodegeneration years prior to clinical manifestation of cognitive impairment and dementia. RESULTS: Using blood-based epigenome-wide analyses of general cognitive function, we show that individual differences in DNA methylation (DNAm) explain 35.0% of the variance in general cognitive function (g). A DNAm predictor explains ~4% of the variance, independently of a polygenic score, in two external cohorts. It also associates with circulating levels of neurology- and inflammation-related proteins, global brain imaging metrics, and regional cortical volumes. CONCLUSIONS: As sample sizes increase, the ability to assess cognitive function from DNAm data may be informative in settings where cognitive testing is unreliable or unavailable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02596-5. |
format | Online Article Text |
id | pubmed-8762878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87628782022-01-18 Blood-based epigenome-wide analyses of cognitive abilities McCartney, Daniel L. Hillary, Robert F. Conole, Eleanor L. S. Banos, Daniel Trejo Gadd, Danni A. Walker, Rosie M. Nangle, Cliff Flaig, Robin Campbell, Archie Murray, Alison D. Maniega, Susana Muñoz Valdés-Hernández, María del C. Harris, Mathew A. Bastin, Mark E. Wardlaw, Joanna M. Harris, Sarah E. Porteous, David J. Tucker-Drob, Elliot M. McIntosh, Andrew M. Evans, Kathryn L. Deary, Ian J. Cox, Simon R. Robinson, Matthew R. Marioni, Riccardo E. Genome Biol Research BACKGROUND: Blood-based markers of cognitive functioning might provide an accessible way to track neurodegeneration years prior to clinical manifestation of cognitive impairment and dementia. RESULTS: Using blood-based epigenome-wide analyses of general cognitive function, we show that individual differences in DNA methylation (DNAm) explain 35.0% of the variance in general cognitive function (g). A DNAm predictor explains ~4% of the variance, independently of a polygenic score, in two external cohorts. It also associates with circulating levels of neurology- and inflammation-related proteins, global brain imaging metrics, and regional cortical volumes. CONCLUSIONS: As sample sizes increase, the ability to assess cognitive function from DNAm data may be informative in settings where cognitive testing is unreliable or unavailable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02596-5. BioMed Central 2022-01-17 /pmc/articles/PMC8762878/ /pubmed/35039062 http://dx.doi.org/10.1186/s13059-021-02596-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research McCartney, Daniel L. Hillary, Robert F. Conole, Eleanor L. S. Banos, Daniel Trejo Gadd, Danni A. Walker, Rosie M. Nangle, Cliff Flaig, Robin Campbell, Archie Murray, Alison D. Maniega, Susana Muñoz Valdés-Hernández, María del C. Harris, Mathew A. Bastin, Mark E. Wardlaw, Joanna M. Harris, Sarah E. Porteous, David J. Tucker-Drob, Elliot M. McIntosh, Andrew M. Evans, Kathryn L. Deary, Ian J. Cox, Simon R. Robinson, Matthew R. Marioni, Riccardo E. Blood-based epigenome-wide analyses of cognitive abilities |
title | Blood-based epigenome-wide analyses of cognitive abilities |
title_full | Blood-based epigenome-wide analyses of cognitive abilities |
title_fullStr | Blood-based epigenome-wide analyses of cognitive abilities |
title_full_unstemmed | Blood-based epigenome-wide analyses of cognitive abilities |
title_short | Blood-based epigenome-wide analyses of cognitive abilities |
title_sort | blood-based epigenome-wide analyses of cognitive abilities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762878/ https://www.ncbi.nlm.nih.gov/pubmed/35039062 http://dx.doi.org/10.1186/s13059-021-02596-5 |
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