Alexander I. Young

The paper assesses the association between rare variant genetic loads and cognitive traits, intellectual disability, and psychiatric disorders in population-based cohorts.

The paper introduces GRMA, a method that improves genetic association analyses by reducing bias and expanding population coverage compared to GWAS.

ImputePGTA improves embryo genotyping and polygenic scoring from ultra-low-pass sequencing by jointly inferring inheritance and parental haplotype phasing.

The paper estimates direct effects of genetic ancestry on complex traits in a Mexican population using family-based analyses and finds significant associations for height and type 2 diabetes but not for educational attainment.

This paper develops and validates polygenic scores for within-family disease risk prediction, showing strong performance across ancestries and demonstrating their clinical utility in embryo screening.

The paper updates a polygenic index repository with more phenotypes, datasets, and improved causal inference methods, enhancing predictive performance and interpretability.

The paper evaluates the impact of non-random mating and environmental transmission on genetic methods and introduces a simulation tool to improve robustness.

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.

This study investigates how common genetic variants contribute to risk for rare neurodevelopmental conditions and examines indirect genetic effects through parental non-transmitted alleles.

The paper develops a method to estimate indirect genetic effects and heritability under assortative mating, showing biases in existing methods and providing corrected estimates for height and educational attainment.

This paper shows that cross-trait assortative mating explains genetic correlations between traits, suggesting many reported genetic similarities may be overestimated.

The paper introduces novel estimators for family-based GWAS that increase power and robustness to population structure by improving imputation of missing parent genotypes and using a linear-mixed model.

The paper develops a method to impute parental genotypes from sibling data to estimate direct and indirect genetic effects, finding that standard GWAS underestimates direct effects for several traits.

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 uses genomic analysis of parent-offspring trios to estimate the genetic nurture effect on child anxiety and depression symptoms at age 8, finding significant influence on depression but not anxiety.

The paper introduces mendelian imputation to disentangle genotype-phenotype associations by leveraging family data, showing improved predictive power for educational attainment.

This study introduces RDR, a method to estimate heritability while removing environmental bias, and applies it to 54,888 Icelanders to estimate heritability for 14 traits.

The paper shows that non-transmitted parental alleles affect a child's traits through their impact on parents and relatives, termed genetic nurture, with significant effects on educational attainment and other traits.