Defining genetic determinants of the Metabolic Syndrome in the Framingham Heart Study using association and structural equation modeling methods

@inproceedings{Nock2009DefiningGD,
  title={Defining genetic determinants of the Metabolic Syndrome in the Framingham Heart Study using association and structural equation modeling methods},
  author={Nora L Nock and Xuefeng Wang and Cheryl L. Thompson and Yeunjoo E. Song and Dan J Baechle and Paola Raska and Catherine M Stein and Courtney L Gray-McGuire},
  booktitle={BMC proceedings},
  year={2009}
}
The Metabolic Syndrome (MetSyn), which is a clustering of traits including insulin resistance, obesity, hypertension and dyslipidemia, is estimated to have a substantial genetic component, yet few specific genetic targets have been identified. Factor analysis, a sub-type of structural equation modeling (SEM), has been used to model the complex relationships in MetSyn. Therefore, we aimed to define the genetic determinants of MetSyn in the Framingham Heart Study (Offspring Cohort, Exam 7) using… CONTINUE READING

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