Kenneth S. Krauter

This study conducts a genome-wide association meta-analysis of childhood aggression across multiple raters, instruments, and ages, identifying genetic correlations with various traits but no genome-wide significant SNPs.

The paper compares genome-wide data from opioid use and dependence cases to identify genetic associations and differences between exposure and dependence.

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.