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The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors
Retinal nerve fibre layer (RNFL) thickness has been associated with cognitive function but it is unclear whether RNFL thinning is secondary to cortical loss, or if the same disease process affects both. We explored whether there is phenotypic sharing between RNFL thickness and cognitive traits, and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039707/ https://www.ncbi.nlm.nih.gov/pubmed/27677702 http://dx.doi.org/10.1038/srep34116 |
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author | Jones-Odeh, Eneh Yonova-Doing, Ekaterina Bloch, Edward Williams, Katie M. Steves, Claire J. Hammond, Christopher J. |
author_facet | Jones-Odeh, Eneh Yonova-Doing, Ekaterina Bloch, Edward Williams, Katie M. Steves, Claire J. Hammond, Christopher J. |
author_sort | Jones-Odeh, Eneh |
collection | PubMed |
description | Retinal nerve fibre layer (RNFL) thickness has been associated with cognitive function but it is unclear whether RNFL thinning is secondary to cortical loss, or if the same disease process affects both. We explored whether there is phenotypic sharing between RNFL thickness and cognitive traits, and whether such sharing is due to genetic factors. Detailed eye and cognitive examination were performed on 1602 twins (mean age: 56.4 years; range: 18–89) from the TwinsUK cohort. Associations between RNFL thickness and ophthalmic, cognitive and other predictors were assessed using linear regression or analysis of variance models. Heritability analyses were performed using uni- and bivariate Cholesky decomposition models. RNFL was thinner with increase in myopia and with decrease in disc area (p < 0.001). A thicker RNFL was associated with better performance on mini mental state examination (MMSE, F(5,883) = 5.8, p < 0.001), and with faster reaction time (RT, β = −0.01; p = 0.01); independent of the effects of age, refractive error and disc area (p < 0.05). RNFL thickness was highly heritable (82%) but there was low phenotypic sharing between RNFL thickness and MMSE (5%, 95% CI: 0–10%) or RT (7%, 95% CI: 1–12%). This sharing, however, was mostly due to additive genetic effects (67% and 92% of the shared variance respectively). |
format | Online Article Text |
id | pubmed-5039707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50397072016-09-30 The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors Jones-Odeh, Eneh Yonova-Doing, Ekaterina Bloch, Edward Williams, Katie M. Steves, Claire J. Hammond, Christopher J. Sci Rep Article Retinal nerve fibre layer (RNFL) thickness has been associated with cognitive function but it is unclear whether RNFL thinning is secondary to cortical loss, or if the same disease process affects both. We explored whether there is phenotypic sharing between RNFL thickness and cognitive traits, and whether such sharing is due to genetic factors. Detailed eye and cognitive examination were performed on 1602 twins (mean age: 56.4 years; range: 18–89) from the TwinsUK cohort. Associations between RNFL thickness and ophthalmic, cognitive and other predictors were assessed using linear regression or analysis of variance models. Heritability analyses were performed using uni- and bivariate Cholesky decomposition models. RNFL was thinner with increase in myopia and with decrease in disc area (p < 0.001). A thicker RNFL was associated with better performance on mini mental state examination (MMSE, F(5,883) = 5.8, p < 0.001), and with faster reaction time (RT, β = −0.01; p = 0.01); independent of the effects of age, refractive error and disc area (p < 0.05). RNFL thickness was highly heritable (82%) but there was low phenotypic sharing between RNFL thickness and MMSE (5%, 95% CI: 0–10%) or RT (7%, 95% CI: 1–12%). This sharing, however, was mostly due to additive genetic effects (67% and 92% of the shared variance respectively). Nature Publishing Group 2016-09-28 /pmc/articles/PMC5039707/ /pubmed/27677702 http://dx.doi.org/10.1038/srep34116 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Jones-Odeh, Eneh Yonova-Doing, Ekaterina Bloch, Edward Williams, Katie M. Steves, Claire J. Hammond, Christopher J. The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title | The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title_full | The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title_fullStr | The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title_full_unstemmed | The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title_short | The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
title_sort | correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039707/ https://www.ncbi.nlm.nih.gov/pubmed/27677702 http://dx.doi.org/10.1038/srep34116 |
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