A5021563467- Genetic Associations and Epidemiology
- Intergenerational and Educational Inequality Studies
- Demographic Trends and Gender Preferences
- Cognitive Abilities and Testing
- Bioinformatics and Genomic Networks
- Liver Disease Diagnosis and Treatment
- Birth, Development, and Health
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Nutrition, Genetics, and Disease
Erasmus University Rotterdam
2020-2023
Tinbergen Institute
2021-2023
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ABSTRACT Measurement error in polygenic indices (PGIs) attenuates the estimation of their effects regression models. While this measurement shrinks with growing Genome-wide Association Study (GWAS) sample sizes, marginal returns to bigger sizes are rapidly decreasing. We analyze and compare two alternative approaches reduce error: Obviously Related Instrumental Variables (ORIV) PGI Repository Correction (PGI-RC). Through simulations, we show that both outperform typical (meta-analysis based)...
This paper shows how nature (i.e., one's genetic endowments) and nurture environment) interact in producing educational attainment. Genetic endowments are measured using a polygenic score for attainment, while we use birth order as an important environmental determinant of Since randomly assigned within-families orthogonal to order, our family fixed effects approach exploits exogenous variation well environments. We find that those with higher benefit disproportionally more from being...
Abstract Polygenic indices (PGIs) are increasingly used to identify individuals at high risk of developing diseases and disorders advocated as a screening tool for personalised intervention in medicine education. The performance PGIs is typically assessed terms the amount phenotypic variance they explain independent prediction samples. However, correct ranking PGI distribution more important metric when identifying genetic risk. We empirically assess rank concordance between that created...