Alison K. Merikangas

This study analyzes 173 multiplex Portuguese families to identify rare genetic variants associated with schizophrenia, mood disorders, and autism, finding a CHD2 mutation linked to diverse mental illness phenotypes.

This study identifies shared genetic loci between psychiatric disorders and cortical brain structure using genome-wide association data from over 700,000 individuals.

This study uses machine learning to predict alcohol-related memory problems in older adults by integrating multi-domain features including brain connectivity, polygenic risk, and lifestyle factors.

This paper uses PheWAS to investigate the phenotypic effects of GABRA2 variant rs279858, finding associations with anxiety-related and behavioral traits linked to alcohol use disorders.

This study evaluates the stability of polygenic scores across different genome-wide association studies, finding low individual-level consistency and highlighting challenges for precision medicine.

The paper calculates polygenic risk scores for substance use disorders and finds associations with related phenotypes in electronic health records.

The paper evaluates polygenic risk scores for psychiatric disorders in electronic health records, finding cross-trait associations and confirming genetic architecture from large consortia.