Ryan K. Waples

This study examines how rare copy number variants and polygenic scores jointly affect psychiatric disorder risk in a large population sample, finding no significant interaction between the two factors.

This paper develops statistical methods to detect and estimate recent positive selection in European ancestry populations using identity-by-descent haplotype segments.

The paper expands the stdpopsim species catalog and improves genome simulations by adding non-crossover recombination and species-specific annotations, making simulations more realistic for non-model organisms.

FLARE infers local ancestry with high accuracy and efficiency, scaling to large datasets using advanced computational techniques.

The paper investigates the impact of the LDLR p.G137S variant on metabolic health and cardiovascular disease risk in Greenlanders, finding it increases FH and cardiovascular disease risk in up to 30% of the population.

The paper quantifies pseudoreplication in genomics-scale datasets by measuring effective degrees of freedom for FST and r2, showing that variance components analysis reveals sampling uncertainty as the limiting factor.

This paper introduces a method to infer close familial relationships from genotypes or low-depth sequencing data without requiring allele frequencies or genomic positions, showing comparable accuracy to existing methods.

The paper performs deep whole genome sequencing on 1,457 individuals to investigate rare variant contributions to cardiometabolic traits, identifying new regulatory variants and gene-trait associations.