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
Imputing genotype data in over 4,500 completed suicides in Utah, we are undertaking the first genome-wide association study of completed suicide. This study will calculate polygenic and methylation risk scores and examine polygenic overlap of suicide with major psychiatric and medical 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.
Molecular Subtyping Of Schizophrenia And Major Depression, Accounting For Sex And Population Stratification
Genetic sorting methods that use machine learning to predict risk may aide early diagnostic and intervention efforts.