Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and
diseases by aggregating information across multiple genetic variants identified from genome …

Compared with linear mixed model-based genome-wide association (GWA) methods,
generalized linear mixed model (GLMM)-based methods have better statistical properties …

The increasing availability of genotype data in longitudinal population‐and family‐based
samples provides opportunities for using polygenic scores (PGS) to study developmental …

Polygenic risk scores (PRSs) have been widely explored in precision medicine. However,
few studies have thoroughly investigated their best practices in global populations across …

White matter tracts form the structural basis of large-scale brain networks. We applied brain-
wide tractography to diffusion images from 30,810 adults (UK Biobank) and found significant …

Since the first polygenic risk score (PRS) in 2007, research in this area has progressed
significantly. The increasing number of SNPs that have been identified by large scale GWAS …

Polygenic indices (PGIs) are increasingly used to identify individuals at risk of developing
disease and are advocated as screening tools for personalized medicine and education …

Genetically informed drug development and repurposing is an attractive prospect for
improving patient outcomes in psychiatry; however, the effectiveness of these endeavors is …

Microarray technology has been used to measure genome-wide DNA methylation in
thousands of individuals. These studies typically test the associations between individual …

Since their first appearance in the context of schizophrenia and bipolar disorder in 2009,
polygenic risk scores (PRSs) have been described for a large number of common complex …