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THE HUNTSMAN MENTAL HEALTH INSTITUTE IS LIVE!

A huge step forward for Utah, and for our many collaborators in the international psychiatric genetics community:

@ISPGnet @VUMCgenetics @PGCgenetics

@afspnational @JillHF_AFSP @NeuroMinded @broadinstitute

@EdinUniMentalH @StanleyCenter @nygenome

@BehaviorGenetic @uk_biobank

 

Research

First Comprehensive Genome-Wide Association Study of Suicide Death

Imputing genotype data from 4,800 suicide deaths in Utah and 14,810 ancestry-matched controls, we were able to conduct the first major genome-wide association study of suicide death. These analyses included calculation of polygenic ri...

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Simons Foundation Award: Polygenic And Rare Variant-Based Genetic 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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Fast Simulation of Polygenic Risk Scores to Estimate PRS Performance under Various Conditions and Thresholds

We've created an extremely efficient pipeline for imputation, QC, and processing of polygenic risk on a massive scale. Fast PRS simulations allow us to select an optimal p-value threshold γ, perform more accurate power analyses, and evaluate the polygenicity of a phenotype.

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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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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. We've developed a network of rese...

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