Unknown

Dataset Information

Identification of novel high-impact recessively inherited type 2 diabetes risk variants in the Greenlandic population.


ABSTRACT:

Aims/hypothesis

In a recent study using a standard additive genetic model, we identified a TBC1D4 loss-of-function variant with a large recessive impact on risk of type 2 diabetes in Greenlanders. The aim of the current study was to identify additional genetic variation underlying type 2 diabetes using a recessive genetic model, thereby increasing the power to detect variants with recessive effects.

Methods

We investigated three cohorts of Greenlanders (B99, n = 1401; IHIT, n = 3115; and BBH, n = 547), which were genotyped using Illumina MetaboChip. Of the 4674 genotyped individuals passing quality control, 4648 had phenotype data available, and type 2 diabetes association analyses were performed for 317 individuals with type 2 diabetes and 2631 participants with normal gluc

SUBMITTER: Grarup N 

PROVIDER: S-EPMC6096637 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature