scholarly journals Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs

2015 ◽  
Vol 21 (3) ◽  
pp. 437-443 ◽  
Author(s):  
E Krapohl ◽  
R Plomin
2016 ◽  
Vol 22 (2) ◽  
pp. 267-272 ◽  
Author(s):  
S Selzam ◽  
E Krapohl ◽  
S von Stumm ◽  
P F O'Reilly ◽  
K Rimfeld ◽  
...  

Abstract A genome-wide polygenic score (GPS), derived from a 2013 genome-wide association study (N=127,000), explained 2% of the variance in total years of education (EduYears). In a follow-up study (N=329,000), a new EduYears GPS explains up to 4%. Here, we tested the association between this latest EduYears GPS and educational achievement scores at ages 7, 12 and 16 in an independent sample of 5825 UK individuals. We found that EduYears GPS explained greater amounts of variance in educational achievement over time, up to 9% at age 16, accounting for 15% of the heritable variance. This is the strongest GPS prediction to date for quantitative behavioral traits. Individuals in the highest and lowest GPS septiles differed by a whole school grade at age 16. Furthermore, EduYears GPS was associated with general cognitive ability (~3.5%) and family socioeconomic status (~7%). There was no evidence of an interaction between EduYears GPS and family socioeconomic status on educational achievement or on general cognitive ability. These results are a harbinger of future widespread use of GPS to predict genetic risk and resilience in the social and behavioral sciences.


2020 ◽  
Vol 93 (3) ◽  
pp. 256-276
Author(s):  
Rob J. Gruijters ◽  
Julia A. Behrman

Influential reports about the “learning crisis” in the global South generally pay insufficient attention to social inequalities in learning. In this study, we explore the association between family socioeconomic status and learning outcomes in 10 francophone African countries using data from the Programme for the Analysis of Education Systems, a standardized assessment of pupils’ mathematics and reading competence at the end of primary school. We start by showing that learning outcomes among grade 6 pupils are both poor and highly stratified. We then develop and test a conceptual framework that highlights three mechanisms through which family socioeconomic status might contribute to learning: (1) educational resources at home, (2) health and well-being, and (3) differences in school quality. We find that most of the effect of family background on learning outcomes operates through school quality, which results from a combination of the unequal distribution of resources (such as teachers and textbooks) across schools and high socioeconomic segregation between schools. On the basis of these results, we suggest that most countries in the region could improve equity as well as overall performance by “raising the floor” in school quality.


2019 ◽  
Author(s):  
Sophie von Stumm ◽  
Emily Smith-Woolley ◽  
Ziada Ayorech ◽  
Andrew McMillan ◽  
Kaili Rimfeld ◽  
...  

ABSTRACTThe two best predictors of children’s educational achievement available from birth are parents’ socioeconomic status (SES) and, recently, children’s inherited DNA differences that can be aggregated in genome-wide polygenic scores (GPS). Here we chart for the first time the developmental interplay between these two predictors of educational achievement at ages 7, 11, 14 and 16 in a sample of almost 5,000 UK school children. We show that the prediction of educational achievement from both GPS and SES increases steadily throughout the school years. Using latent growth curve models, we find that GPS and SES not only predict educational achievement in the first grade but they also account for systematic changes in achievement across the school years. At the end of compulsory education at age 16, GPS and SES respectively predict 14% and 23% of the variance of educational achievement; controlling for genetic influence on SES reduces its predictive power to 16%. Analyses of the extremes of GPS and SES highlight their influence and interplay: In children who have high GPS and come from high SES families, 77% go to university, whereas 21% of children with low GPS and from low SES backgrounds attend university. We find that the effects of GPS and SES are primarily additive, suggesting that their joint impact is particularly dramatic for children at the extreme ends of the distribution.


2020 ◽  
Vol 34 (8) ◽  
pp. 969-979 ◽  
Author(s):  
Zhongling Wu ◽  
Bi Ying Hu ◽  
Huiping Wu ◽  
Adam Winsler ◽  
Liang Chen

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Frederik Booysen ◽  
Ferdi Botha ◽  
Edwin Wouters

AbstractSocial determinants of health frameworks are standard tools in public health. These frameworks for the most part omit a crucial factor: the family. Socioeconomic status moreover is a prominent social determinant of health. Insofar as family functioning is poorer in poor families and family structure and functioning are linked to health, it is critical to consider the pathways between these four constructs. In this correspondence, we reflect on how empirical studies of this conceptual nexus mirror two causal models. We conclude by reflecting on future directions for research in this field.


2016 ◽  
Vol 21 (4) ◽  
pp. 83-101
Author(s):  
A.A. Shvedovskaya ◽  
T.Yu. Zagvozdkina

A child’s family representation is one of the crucial factors of psychological and social development in older preschoolers. The article emphasizes that the relationships between a child’s family socioeconomic status (SES) and family representation are mediated. Family members’ perception and evaluation of their socioeconomic status are conditioned with subjective economic well- being. It influences family functioning which, in its turn, conditions particular characteristics of a child’s emotional experiences in family situation and his/her family representations. The analysis of relationships between subjective economic well-being of family members and a child’s family representations demonstrates the trend to increase in severity of poor well-being markers in case of increase of parental markers of financial stress, financial deprivation and financial anxiety. An empirical classification of family representation types in children from families with various SES is provided. It includes positive family representation “Favorable family”, family representation with some elements of disharmony “Unstable family”, representation of a distant family “Distant family”, conflict family representation “Conflict family”, negative family representation “Unfavorable family”.


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