Camelia C. Minică

This study investigates the genetic and environmental overlap and bidirectional causality between resilience and well-being using twin-sibling data and polygenic scores.

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.

This paper explores estimating genotype-environment covariance in twin models by incorporating polygenic scores, showing increased statistical power when fixing variance explained by polygenic scores.

This paper introduces MR-DoC, a twin-based model integrating Mendelian Randomization and Direction of Causation to test causal relationships while accounting for pleiotropy and improving statistical power.

The paper evaluates the performance of likelihood ratio and score tests under weight misspecification in rare variant association studies and finds LRT more robust and powerful.