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Genetic analysis of social-class mobility in five longitudinal studies

A summary genetic measure, called a “polygenic score,” derived from a genome-wide association study (GWAS) of education can modestly predict a person’s educational and economic success. This prediction could signal a biological mechanism: Education-linked genetics could encode characteristics that h...

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Autores principales: Belsky, Daniel W., Domingue, Benjamin W., Wedow, Robbee, Arseneault, Louise, Boardman, Jason D., Caspi, Avshalom, Conley, Dalton, Fletcher, Jason M., Freese, Jeremy, Herd, Pamela, Moffitt, Terrie E., Poulton, Richie, Sicinski, Kamil, Wertz, Jasmin, Harris, Kathleen Mullan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077729/
https://www.ncbi.nlm.nih.gov/pubmed/29987013
http://dx.doi.org/10.1073/pnas.1801238115
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author Belsky, Daniel W.
Domingue, Benjamin W.
Wedow, Robbee
Arseneault, Louise
Boardman, Jason D.
Caspi, Avshalom
Conley, Dalton
Fletcher, Jason M.
Freese, Jeremy
Herd, Pamela
Moffitt, Terrie E.
Poulton, Richie
Sicinski, Kamil
Wertz, Jasmin
Harris, Kathleen Mullan
author_facet Belsky, Daniel W.
Domingue, Benjamin W.
Wedow, Robbee
Arseneault, Louise
Boardman, Jason D.
Caspi, Avshalom
Conley, Dalton
Fletcher, Jason M.
Freese, Jeremy
Herd, Pamela
Moffitt, Terrie E.
Poulton, Richie
Sicinski, Kamil
Wertz, Jasmin
Harris, Kathleen Mullan
author_sort Belsky, Daniel W.
collection PubMed
description A summary genetic measure, called a “polygenic score,” derived from a genome-wide association study (GWAS) of education can modestly predict a person’s educational and economic success. This prediction could signal a biological mechanism: Education-linked genetics could encode characteristics that help people get ahead in life. Alternatively, prediction could reflect social history: People from well-off families might stay well-off for social reasons, and these families might also look alike genetically. A key test to distinguish biological mechanism from social history is if people with higher education polygenic scores tend to climb the social ladder beyond their parents’ position. Upward mobility would indicate education-linked genetics encodes characteristics that foster success. We tested if education-linked polygenic scores predicted social mobility in >20,000 individuals in five longitudinal studies in the United States, Britain, and New Zealand. Participants with higher polygenic scores achieved more education and career success and accumulated more wealth. However, they also tended to come from better-off families. In the key test, participants with higher polygenic scores tended to be upwardly mobile compared with their parents. Moreover, in sibling-difference analysis, the sibling with the higher polygenic score was more upwardly mobile. Thus, education GWAS discoveries are not mere correlates of privilege; they influence social mobility within a life. Additional analyses revealed that a mother’s polygenic score predicted her child’s attainment over and above the child’s own polygenic score, suggesting parents’ genetics can also affect their children’s attainment through environmental pathways. Education GWAS discoveries affect socioeconomic attainment through influence on individuals’ family-of-origin environments and their social mobility.
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spelling pubmed-60777292018-08-07 Genetic analysis of social-class mobility in five longitudinal studies Belsky, Daniel W. Domingue, Benjamin W. Wedow, Robbee Arseneault, Louise Boardman, Jason D. Caspi, Avshalom Conley, Dalton Fletcher, Jason M. Freese, Jeremy Herd, Pamela Moffitt, Terrie E. Poulton, Richie Sicinski, Kamil Wertz, Jasmin Harris, Kathleen Mullan Proc Natl Acad Sci U S A PNAS Plus A summary genetic measure, called a “polygenic score,” derived from a genome-wide association study (GWAS) of education can modestly predict a person’s educational and economic success. This prediction could signal a biological mechanism: Education-linked genetics could encode characteristics that help people get ahead in life. Alternatively, prediction could reflect social history: People from well-off families might stay well-off for social reasons, and these families might also look alike genetically. A key test to distinguish biological mechanism from social history is if people with higher education polygenic scores tend to climb the social ladder beyond their parents’ position. Upward mobility would indicate education-linked genetics encodes characteristics that foster success. We tested if education-linked polygenic scores predicted social mobility in >20,000 individuals in five longitudinal studies in the United States, Britain, and New Zealand. Participants with higher polygenic scores achieved more education and career success and accumulated more wealth. However, they also tended to come from better-off families. In the key test, participants with higher polygenic scores tended to be upwardly mobile compared with their parents. Moreover, in sibling-difference analysis, the sibling with the higher polygenic score was more upwardly mobile. Thus, education GWAS discoveries are not mere correlates of privilege; they influence social mobility within a life. Additional analyses revealed that a mother’s polygenic score predicted her child’s attainment over and above the child’s own polygenic score, suggesting parents’ genetics can also affect their children’s attainment through environmental pathways. Education GWAS discoveries affect socioeconomic attainment through influence on individuals’ family-of-origin environments and their social mobility. National Academy of Sciences 2018-07-31 2018-07-09 /pmc/articles/PMC6077729/ /pubmed/29987013 http://dx.doi.org/10.1073/pnas.1801238115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Belsky, Daniel W.
Domingue, Benjamin W.
Wedow, Robbee
Arseneault, Louise
Boardman, Jason D.
Caspi, Avshalom
Conley, Dalton
Fletcher, Jason M.
Freese, Jeremy
Herd, Pamela
Moffitt, Terrie E.
Poulton, Richie
Sicinski, Kamil
Wertz, Jasmin
Harris, Kathleen Mullan
Genetic analysis of social-class mobility in five longitudinal studies
title Genetic analysis of social-class mobility in five longitudinal studies
title_full Genetic analysis of social-class mobility in five longitudinal studies
title_fullStr Genetic analysis of social-class mobility in five longitudinal studies
title_full_unstemmed Genetic analysis of social-class mobility in five longitudinal studies
title_short Genetic analysis of social-class mobility in five longitudinal studies
title_sort genetic analysis of social-class mobility in five longitudinal studies
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077729/
https://www.ncbi.nlm.nih.gov/pubmed/29987013
http://dx.doi.org/10.1073/pnas.1801238115
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