Casper A.P. Burik

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

The paper constructs polygenic indexes for 47 phenotypes across 11 datasets and provides a tool to correct errors-in-variables bias when using PGIs as proxies for the additive SNP factor.

This study identifies genetic loci associated with macronutrient intake and links them to health outcomes using GWAS in over 235,000 individuals.

This study uses genome-wide association data for educational attainment and schizophrenia to identify genetic heterogeneity and novel candidate genes for schizophrenia.

This paper introduces GIV regression to estimate causal effects in non-experimental data while addressing pleiotropy and endogeneity bias, showing it provides accurate heritability estimates and reduces bias in educational attainment outcomes.