Cargando…

Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them

On average, students attending selective schools outperform their non-selective counterparts in national exams. These differences are often attributed to value added by the school, as well as factors schools use to select pupils, including ability, achievement and, in cases where schools charge tuit...

Descripción completa

Detalles Bibliográficos
Autores principales: Smith-Woolley, Emily, Pingault, Jean-Baptiste, Selzam, Saskia, Rimfeld, Kaili, Krapohl, Eva, von Stumm, Sophie, Asbury, Kathryn, Dale, Philip S., Young, Toby, Allen, Rebecca, Kovas, Yulia, Plomin, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220309/
https://www.ncbi.nlm.nih.gov/pubmed/30631464
http://dx.doi.org/10.1038/s41539-018-0019-8
_version_ 1783368801393311744
author Smith-Woolley, Emily
Pingault, Jean-Baptiste
Selzam, Saskia
Rimfeld, Kaili
Krapohl, Eva
von Stumm, Sophie
Asbury, Kathryn
Dale, Philip S.
Young, Toby
Allen, Rebecca
Kovas, Yulia
Plomin, Robert
author_facet Smith-Woolley, Emily
Pingault, Jean-Baptiste
Selzam, Saskia
Rimfeld, Kaili
Krapohl, Eva
von Stumm, Sophie
Asbury, Kathryn
Dale, Philip S.
Young, Toby
Allen, Rebecca
Kovas, Yulia
Plomin, Robert
author_sort Smith-Woolley, Emily
collection PubMed
description On average, students attending selective schools outperform their non-selective counterparts in national exams. These differences are often attributed to value added by the school, as well as factors schools use to select pupils, including ability, achievement and, in cases where schools charge tuition fees or are located in affluent areas, socioeconomic status. However, the possible role of DNA differences between students of different schools types has not yet been considered. We used a UK-representative sample of 4814 genotyped students to investigate exam performance at age 16 and genetic differences between students in three school types: state-funded, non-selective schools (‘non-selective’), state-funded, selective schools (‘grammar’) and private schools, which are selective (‘private’). We created a genome-wide polygenic score (GPS) derived from a genome-wide association study of years of education (EduYears). We found substantial mean genetic differences between students of different school types: students in non-selective schools had lower EduYears GPS compared to those in grammar (d = 0.41) and private schools (d = 0.37). Three times as many students in the top EduYears GPS decile went to a selective school compared to the bottom decile. These results were mirrored in the exam differences between school types. However, once we controlled for factors involved in pupil selection, there were no significant genetic differences between school types, and the variance in exam scores at age 16 explained by school type dropped from 7% to <1%. These results show that genetic and exam differences between school types are primarily due to the heritable characteristics involved in pupil admission.
format Online
Article
Text
id pubmed-6220309
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-62203092019-01-10 Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them Smith-Woolley, Emily Pingault, Jean-Baptiste Selzam, Saskia Rimfeld, Kaili Krapohl, Eva von Stumm, Sophie Asbury, Kathryn Dale, Philip S. Young, Toby Allen, Rebecca Kovas, Yulia Plomin, Robert NPJ Sci Learn Article On average, students attending selective schools outperform their non-selective counterparts in national exams. These differences are often attributed to value added by the school, as well as factors schools use to select pupils, including ability, achievement and, in cases where schools charge tuition fees or are located in affluent areas, socioeconomic status. However, the possible role of DNA differences between students of different schools types has not yet been considered. We used a UK-representative sample of 4814 genotyped students to investigate exam performance at age 16 and genetic differences between students in three school types: state-funded, non-selective schools (‘non-selective’), state-funded, selective schools (‘grammar’) and private schools, which are selective (‘private’). We created a genome-wide polygenic score (GPS) derived from a genome-wide association study of years of education (EduYears). We found substantial mean genetic differences between students of different school types: students in non-selective schools had lower EduYears GPS compared to those in grammar (d = 0.41) and private schools (d = 0.37). Three times as many students in the top EduYears GPS decile went to a selective school compared to the bottom decile. These results were mirrored in the exam differences between school types. However, once we controlled for factors involved in pupil selection, there were no significant genetic differences between school types, and the variance in exam scores at age 16 explained by school type dropped from 7% to <1%. These results show that genetic and exam differences between school types are primarily due to the heritable characteristics involved in pupil admission. Nature Publishing Group UK 2018-03-23 /pmc/articles/PMC6220309/ /pubmed/30631464 http://dx.doi.org/10.1038/s41539-018-0019-8 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Smith-Woolley, Emily
Pingault, Jean-Baptiste
Selzam, Saskia
Rimfeld, Kaili
Krapohl, Eva
von Stumm, Sophie
Asbury, Kathryn
Dale, Philip S.
Young, Toby
Allen, Rebecca
Kovas, Yulia
Plomin, Robert
Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title_full Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title_fullStr Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title_full_unstemmed Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title_short Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
title_sort differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220309/
https://www.ncbi.nlm.nih.gov/pubmed/30631464
http://dx.doi.org/10.1038/s41539-018-0019-8
work_keys_str_mv AT smithwoolleyemily differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT pingaultjeanbaptiste differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT selzamsaskia differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT rimfeldkaili differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT krapohleva differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT vonstummsophie differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT asburykathryn differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT dalephilips differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT youngtoby differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT allenrebecca differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT kovasyulia differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem
AT plominrobert differencesinexamperformancebetweenpupilsattendingselectiveandnonselectiveschoolsmirrorthegeneticdifferencesbetweenthem