Paul Scheet

TL;DR: It is demonstrated that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.

TL;DR: It is shown that genotype imputation of common variants using HapMap haplotypes as a reference is very accurate using either genome‐wide SNP data or smaller amounts of data typical in fine‐mapping studies, and it is illustrated how association analyses of unobserved variants will benefit from ongoing advances such as larger Hap map reference panels and whole genome shotgun sequencing technologies.

TL;DR: It is suggested that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.

TL;DR: A statistical model based on the idea that, over short regions, haplotypes in a population tend to cluster into groups of similar haplotypes that allows cluster memberships to change continuously along the chromosome according to a hidden Markov model to capture the fact that recombination tends to be local in nature.