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Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models

Twin and family studies have historically aimed to partition phenotypic variance into components corresponding to additive genetic effects (A), common environment (C), and unique environment (E). Here we present the ACE Model and several extensions in the Adolescent Brain Cognitive Development℠ Stud...

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Autores principales: Smith, Diana M., Loughnan, Robert, Friedman, Naomi P., Parekh, Pravesh, Frei, Oleksandr, Thompson, Wesley K., Andreassen, Ole A., Neale, Michael, Jernigan, Terry L., Dale, Anders M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154273/
https://www.ncbi.nlm.nih.gov/pubmed/37024669
http://dx.doi.org/10.1007/s10519-023-10141-2
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author Smith, Diana M.
Loughnan, Robert
Friedman, Naomi P.
Parekh, Pravesh
Frei, Oleksandr
Thompson, Wesley K.
Andreassen, Ole A.
Neale, Michael
Jernigan, Terry L.
Dale, Anders M.
author_facet Smith, Diana M.
Loughnan, Robert
Friedman, Naomi P.
Parekh, Pravesh
Frei, Oleksandr
Thompson, Wesley K.
Andreassen, Ole A.
Neale, Michael
Jernigan, Terry L.
Dale, Anders M.
author_sort Smith, Diana M.
collection PubMed
description Twin and family studies have historically aimed to partition phenotypic variance into components corresponding to additive genetic effects (A), common environment (C), and unique environment (E). Here we present the ACE Model and several extensions in the Adolescent Brain Cognitive Development℠ Study (ABCD Study(®)), employed using the new Fast Efficient Mixed Effects Analysis (FEMA) package. In the twin sub-sample (n = 924; 462 twin pairs), heritability estimates were similar to those reported by prior studies for height (twin heritability = 0.86) and cognition (twin heritability between 0.00 and 0.61), respectively. Incorporating SNP-derived genetic relatedness and using the full ABCD Study(®) sample (n = 9,742) led to narrower confidence intervals for all parameter estimates. By leveraging the sparse clustering method used by FEMA to handle genetic relatedness only for participants within families, we were able to take advantage of the diverse distribution of genetic relatedness within the ABCD Study(®) sample. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-023-10141-2.
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spelling pubmed-101542732023-05-04 Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models Smith, Diana M. Loughnan, Robert Friedman, Naomi P. Parekh, Pravesh Frei, Oleksandr Thompson, Wesley K. Andreassen, Ole A. Neale, Michael Jernigan, Terry L. Dale, Anders M. Behav Genet Original Research Twin and family studies have historically aimed to partition phenotypic variance into components corresponding to additive genetic effects (A), common environment (C), and unique environment (E). Here we present the ACE Model and several extensions in the Adolescent Brain Cognitive Development℠ Study (ABCD Study(®)), employed using the new Fast Efficient Mixed Effects Analysis (FEMA) package. In the twin sub-sample (n = 924; 462 twin pairs), heritability estimates were similar to those reported by prior studies for height (twin heritability = 0.86) and cognition (twin heritability between 0.00 and 0.61), respectively. Incorporating SNP-derived genetic relatedness and using the full ABCD Study(®) sample (n = 9,742) led to narrower confidence intervals for all parameter estimates. By leveraging the sparse clustering method used by FEMA to handle genetic relatedness only for participants within families, we were able to take advantage of the diverse distribution of genetic relatedness within the ABCD Study(®) sample. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-023-10141-2. Springer US 2023-04-07 2023 /pmc/articles/PMC10154273/ /pubmed/37024669 http://dx.doi.org/10.1007/s10519-023-10141-2 Text en © The Author(s) 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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/) .
spellingShingle Original Research
Smith, Diana M.
Loughnan, Robert
Friedman, Naomi P.
Parekh, Pravesh
Frei, Oleksandr
Thompson, Wesley K.
Andreassen, Ole A.
Neale, Michael
Jernigan, Terry L.
Dale, Anders M.
Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title_full Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title_fullStr Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title_full_unstemmed Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title_short Heritability Estimation of Cognitive Phenotypes in the ABCD Study(®) Using Mixed Models
title_sort heritability estimation of cognitive phenotypes in the abcd study(®) using mixed models
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154273/
https://www.ncbi.nlm.nih.gov/pubmed/37024669
http://dx.doi.org/10.1007/s10519-023-10141-2
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