|Title||Association analysis of whole genome sequencing data accounting for longitudinal and family designs.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Hu, Y., Hui Q., & Sun Y. V.|
|Issue||Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo|
Using the whole genome sequencing data and the simulated longitudinal phenotypes for 849 pedigree-based individuals from Genetic Analysis Workshop 18, we investigated various approaches to detecting the association of rare and common variants with blood pressure traits. We compared three strategies for longitudinal data: (a) using the baseline measurement only, (b) using the average from multiple visits, and (c) using all individual measurements. We also compared the power of using all of the pedigree-based data and the unrelated subset. The analyses were performed without knowledge of the underlying simulating model.
|Alternate Journal||BMC Proc|
|PubMed Central ID||PMC4143808|