William G. Iacono

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

The paper investigates the heritability of rapid electrophysiological connectome dynamics and finds genetic influences on temporal features but not spatial features.

The paper examines how rapid electrophysiological connectome dynamics relate to cognitive abilities using EEG data from 926 participants.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

This study shows that polygenic scores for drinking and smoking predict alcohol and nicotine use problems from adolescence to young adulthood, with smoking PGS also capturing broader genetic liability for substance use.

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 paper examines if a polygenic risk score for smoking measures genetic risk for behavioral disinhibition by analyzing its associations with externalizing psychopathology, internalizing psychopathology, and personality traits in adolescence.

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.

The paper analyzes rare coding variants in smoking and drinking behavior using exome chip data, finding that they contribute to phenotypic variation but require larger samples for individual variant associations.

This paper evaluates LD Score regression's ability to estimate confounding and genetic correlations in GWAS, showing it can produce unbiased or conservative estimates under various conditions.

The paper analyzes rare variants to uncover mutation rate heterogeneity in the human genome, identifying genomic features that influence mutation rates.

The paper examines ERP amplitudes during the stimulus-response interval in ADHD adolescents, finding reduced PMP amplitudes predict motor errors and task deficits.

The paper develops a method to handle missing data in genetic meta-analysis, identifying novel low-frequency variants in nicotine dependence genes with improved accuracy.

The paper develops methods to analyze multi-allelic variants in large sequence datasets, showing improved power and unbiased estimates in association tests.