Case–control tests for association are an important tool for mapping complex-trait genes. But
population structure can invalidate this approach, leading to apparent associations at …

Genealogical or coalescent methods have proved very useful in interpreting and
understanding a wide range of population genetic data. Our aim is to illustrate some of the …

After more than a decade of hope and hype, researchers are finally making inroads into
understanding the genetic basis of many common human diseases. The use of genome …

We describe a model-based clustering method for using multilocus genotype data to infer
population structure and assign individuals to populations. We assume a model in which …

To extend understanding of the genetic architecture and molecular basis of type 2 diabetes
(T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including …

Current routine genotyping methods typically do not provide haplotype information, which is
essential for many analyses of fine-scale molecular-genetics data. Haplotypes can be …

Genome sequencing projects are discovering millions of genetic variants in humans, and
interpretation of their functional effects is essential for understanding the genetic basis of …

The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data
collected on approximately 500,000 individuals from across the United Kingdom, aged …

Genotype imputation methods are now being widely used in the analysis of genome-wide
association studies. Most imputation analyses to date have used the HapMap as a reference …

In this report, we compare and contrast three previously published Bayesian methods for
inferring haplotypes from genotype data in a population sample. We review the methods …