Variant: rs11558471

present in Gene: LOC105375716;SLC30A8 present in Chromosome: 8 Position on Chromosome: 117173494 Alleles of this Variant: A/G

rs11558471 in LOC105375716;SLC30A8 gene and Body mass index PMID 22581228 2012 A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

rs11558471 in LOC105375716;SLC30A8 gene and Diabetes Mellitus, Non-Insulin-Dependent PMID 22885922 2012 Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.

rs11558471 in LOC105375716;SLC30A8 gene and Fasting blood glucose measurement PMID 31021400 2019 Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data.

PMID 22885924 2012 Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.

PMID 28270201 2017 Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.

PMID 25631608 2015 Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

PMID 20081858 2010 New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.

PMID 22581228 2012 A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

rs11558471 in LOC105375716;SLC30A8 gene and Fasting blood sugar result PMID 22885924 2012 Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.

rs11558471 in LOC105375716;SLC30A8 gene and Insulin measurement PMID 21873549 2011 Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes.

PMID 23263489 2013 Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion.