The goal of this project is to estimate heterogeneity in direct and indirect genetic effects on educational outcomes across families, neighborhood, schools, and municipalities while accounting for population stratification. The project will combine genotyped trios and whole population pedigree data to estimate grandparent genotypes. These family data are distributed across 14 000 neighborhoods, 2 839 schools, and 426 municipalities. Using both polygenic scores and quantitative genetic extended family designs, we will estimate population average direct and parental indirect genetic effects, and the neighborhood, school, and municipality variability in these effects.
To separate within family parental indirect genetic effects from between family population stratification, we will estimate the effect of grandparental genotypes using parents identical by descent. We will be able to evaluate between family variability in direct genetic effects by having two or more genotyped siblings. By having access to whole-population registry data we will compile covariates at the family, neighborhood, school, and municipality level on indicators of socioeconomic status and psychosocial environment to create a predictive model accounting for heterogeneity in genetic effects. The study will use a sample of 8 400 000 Norwegians with ancestry from 1905 and onwards and nest the genotyped MoBa participants within this full population structure. The whole-population registry data comprise demographic, economic, educational, health, place of residence and workplace data and clustering. By nesting the MoBa within the whole population registry data, the ESR will be able to evaluate the consequences of participation and attrition for social science genetic studies.
This project is hosted at University of Oslo.
This project has received funding from the European Union’s HORIZON-MSCA-2021-DN-01 programme under grant agreement number 101073237
essgn.org 