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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

SimPRS: Fast Simulation of Polygenic Risk Scores to estimate PRS performance under various conditions and p-value thresholds

Fast PRS simulations allow us to select an optimal p-value threshold γ, perform more accurate power analyses, and estimate the polygenicity of a phenotype.

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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.

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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 leverages whole-genome sequencing in a large sample of autism pedigrees to predict clinical phenotypes using rare variants and polygenic risk profiles.

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

This research maps genetic risk for numerous health and psychiatric phenotypes to real-world outcomes and behaviors in emerging adults (N = 5,947) across ancestries.

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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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