Benjamin W. Domingue

This paper develops WGWAS to correct volunteer bias in GWAS, uncovering novel genetic variants and increasing heritability estimates for specific phenotypes.

The paper estimates how parents' cognitive and non-cognitive skills affect offspring education through environmental effects using polygenic scores and multiple study designs.

This study identifies 157 genome-wide significant loci associated with non-cognitive contributions to educational attainment, explaining 57% of genetic variance.

The paper develops a statistical method to distinguish between interaction and dispersion effects in gene-environment interactions, applying it to BMI data.

The paper uses multi-generational data to separate the genetic and environmental effects of parental polygenic scores on child educational outcomes.

The paper uses polygenic scores to show that students from advantaged schools are more likely to take advanced math courses and persist in math, while disadvantaged schools track fewer high-potential students into advanced math.

The paper quantifies bias in polygenic score analyses due to genetic nurture effects, showing opposite biases in OLS and family fixed effects regressions.

The paper analyzes polygenic score usage and performance across diverse human populations, finding significant disparities in effect sizes and highlighting the need for more inclusive GWAS.

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.

The paper links neighborhood data with genetic and social outcomes to assess whether neighborhood effects on health and behavior are due to selection or causation.

The paper examines whether genetic confounding explains the link between father absence and accelerated reproductive development in young women, finding limited support for the hypothesis.

The paper examines genetic similarities between friends and schoolmates using longitudinal health data, finding that social forces contribute to genetic correlation rather than individual selection.

The paper introduces a family-based method to identify variance-controlling loci (vQTLs) that influence phenotypic variation, showing improved performance over existing methods in the presence of confounding.

The paper examines heritability of body mass index using genome-wide data, finding that gene-environment interaction SNPs do not reduce heritability, while GWAS SNPs do.