Mengzhen Liu

The paper demonstrates the feasibility of conducting clinical recall studies from the FinnGen biobank to collect customized clinical data from participants with Alzheimer's disease or mild cognitive disorder.

The paper characterizes CFTR variant diversity across six ancestries using UK Biobank whole exome sequences, identifying ancestry-specific variants and associations with CF-related phenotypes.

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.

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 uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed genes.

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.

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.