Genotype imputation is a statistical technique that is often used to increase the power and
resolution of genetic association studies. Imputation methods work by using haplotype …

Recent developments in high-throughput genotyping and whole-genome sequencing will
enhance the identification of disease loci in admixed populations. We discuss how a more …

Imputation in admixed populations is an important problem but challenging due to the
complex linkage disequilibrium (LD) pattern. The emergence of large reference panels such …

While genome-wide association studies (GWAS) have primarily examined populations of
European ancestry, more recent studies often involve additional populations, including …

A key aim for current genome‐wide association studies (GWAS) is to interrogate the full
spectrum of genetic variation underlying human traits, including rare variants, across …

Abstract Sub‐Saharan Africa has been identified as the part of the world with the greatest
human genetic diversity. This high level of diversity causes difficulties for genome‐wide …

The role of rare variants has become a focus in the search for association with complex
traits. Imputation is a powerful and cost-efficient tool to access variants that have not been …

Motivation: To increase the signal resolution for large-scale meta-analyses of genome-wide
association studies, genotypes at unmeasured single nucleotide polymorphisms (SNPs) are …

The recent dramatic cost reduction of next-generation sequencing technology enables
investigators to assess most variants in the human genome to identify risk variants for …

The potential for imputed genotypes to enhance an analysis of genetic data depends largely
on the accuracy of imputation, which in turn depends on properties of the reference panel of …