Dataset
Note that samples from the European cohorts of AAGILE GWAS are included in the MAGIC Metabochip GWAS dataset.
Publications
Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.
Liu CT, et al.
Am J Hum Genet. 2016 Jul 7;99(1):56-75. doi: 10.1016/j.ajhg.2016.05.006
Dataset phenotypes
- fasting glucose
- fasting insulin adjusted for BMI
Dataset subjects
| Samples in African American ancestry discovery cohorts | ||
|---|---|---|
| Samples | Cohort | Ancestry |
| 810 | Health ABC | African American |
| 1,024 | HANDLS | African American |
| 1,314 | HUFS | African American |
| 992 | HyperGEN | African American |
| 1,707 | Jackson Heart Study | African American |
| 1,341 | MESA | African American |
| 914 | MESA Family | African American |
| 1,114 | SIGNET | African American |
| 6,579 | WHI | African American |
Project
The African American Glucose and InsuLin Genetic Epidemiology (AAGILE) consortium seeks to better understand the genetics of glycemic traits in individuals of African ancestry.
Experiment summary
AAGILE GWAS is a meta-analysis of fasting glucose and BMI-adjusted fasting insulin associations for 20,209 non-diabetic individuals of African American ancestry and 57,292 non-diabetic individuals of European ancestry, performed by the African American Glucose and Insulin Genetic Epidemiology (AAGILE) Consortium. Fasting glucose and BMI-adjusted fasting insulin associations for the European ancestry cohorts were published in:
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.
Manning AK, et al.
Nat Genet. 2012 May 13;44(6):659-69. doi: 10.1038/ng.2274.