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RESEARCH PROJECTS

Some of our funded research on schizophrenia, autism, depression, and suicide is listed below.

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ABOUT THE PG LAB

We are a data science lab focused on psychiatric genomics and the prevention of serious mental illness.

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PARTICIPATE

Contact us to hear about RA opportunities. And we will begin research studies in Fall of 2018–please check back to stay informed.

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Current research

Genome-Wide Polygenic Risk Mapping Of The Phenome in Emerging Adulthood

This study examined genetic risk for numerous health and psychiatric phenotypes to predict real-world outcomes in a sample of emerging adults (N = 5,947) from multiple ancestries: http://www.biorxiv.org/content/early/2017/04/06/124651

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Pathway-based Polygenic Risk for Severe Depression Implicates Drug Metabolism in a Large Han Chinese Cohort

Using low-coverage whole genome sequencing in the CONVERGE cohort (N = 10,640), we derived polygenic risk scores specific to each of over 300 molecular pathways previously shown to be relevant to severe psychopathology. We then identified gene pathways significantly predictive of recurrent depres...

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Enhancing Psychosis-Spectrum Nosology through an International Data Sharing Initiative

It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. Read more

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GWAS of Completed Suicide And Molecular Genetic Overlap Of Suicide, Psychosis, And Major Depression

Imputing genotype data from 4,800 completed suicide deaths and 3,500 ancestry-matched controls, we are able to conduct genome-wide association studies of completed suicide. These analyses also involve calculation of polygenic and methylation risk scores, and examine polygenic overlap of suicide w...

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Polygenic And Rare Variant-Based Subtyping Of Autism Spectrum Disorders

This research will leverage whole-genome sequencing in a large sample of autism pedigrees to predict clinical phenotypes using rare variants and polygenic risk profiling.

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Molecular Subtyping Of Schizophrenia And Major Depression, Accounting For Sex And Population Stratification

Genetic sorting methods may aide in identifying drug targets for tailored psychiatric intervention. We have worked to develop methods for subgrouping cases with psychosis or severe depression.

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