Objectives: We present an up-to-date review of STRUCTURE software: one of the most
widely used population analysis tools that allows researchers to assess patterns of genetic …

Meta-analysis of genome-wide association studies (GWASs) has become a popular method
for discovering genetic risk variants. Here, we overview both widely applied and newer …

Very few genetic variants have been associated with depression and neuroticism, likely
because of limitations on sample size in previous studies. Subjective well-being, a …

Abstract Principal Component Analysis (PCA) is a multivariate analysis that reduces the
complexity of datasets while preserving data covariance. The outcome can be visualized on …

Genetic data often exhibit patterns broadly consistent with'isolation by distance'—a
phenomenon where genetic similarity decays with geographic distance. In a heterogeneous …

SNPs discovered by genome-wide association studies (GWASs) account for only a small
fraction of the genetic variation of complex traits in human populations. Where is the …

Genome-wide association studies (GWAS) of psychological traits are generally conducted
on (dichotomized) sums of items or symptoms (eg, case-control status), and not on the …

Searching for genetic variants with unusual differentiation between subpopulations is an
established approach for identifying signals of natural selection. However, existing methods …

Genome-wide association (GWA) studies are an effective approach for identifying genetic
variants associated with disease risk. GWA studies can be confounded by population …

Hepatitis C virus (HCV) infects 3% of the world's population. Treatment of chronic HCV
consists of a combination of PEGylated interferon-α (PEG-IFN-α) and ribavirin (RBV). To …