A 100K genome-wide association scan for diabetes and related traits in the Framingham Heart Study: replication and integration with other genome-wide datasets.

@article{Florez2007A1G,
  title={A 100K genome-wide association scan for diabetes and related traits in the Framingham Heart Study: replication and integration with other genome-wide datasets.},
  author={Jose C Florez and Alisa Knodle Manning and Jos{\'e}e Dupuis and Jarred B. McAteer and Kathryn Irenze and Lauren Gianniny and Daniel B. Mirel and Caroline Fox and L. Adrienne Cupples and James B. Meigs},
  journal={Diabetes},
  year={2007},
  volume={56 12},
  pages={3063-74}
}
OBJECTIVE To use genome-wide fixed marker arrays and improved analytical tools to detect genetic associations with type 2 diabetes in a carefully phenotyped human sample. RESEARCH DESIGN AND METHODS A total of 1,087 Framingham Heart Study (FHS) family members were genotyped on the Affymetrix 100K single nucleotide polymorphism (SNP) array and examined for association with incident diabetes and six diabetes-related quantitative traits. Quality control filters yielded 66,543 SNPs for… CONTINUE READING