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5.

Using Family-Based Imputation in Genome-Wide Association Studies with Large Complex Pedigrees: The Framingham Heart Study
by Chen, Ming-Huei

Chen, Ming-Huei, Jie Huang, Wei-Min Chen, Martin G. Larson, Caroline S. Fox, Ramachandran S. Vasan, Sudha Seshadri, Christopher Joseph O’Donnell, and Qiong Yang. 2012. Using family-based imputation in genome-wide association studies with large complex pedigrees: the Framingham Heart Study. PLoS ONE 7(12): e51589.

11.

Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study
by De Vries, Paul S.

de Vries, P. S., M. Sabater-Lleal, D. I. Chasman, S. Trompet, T. S. Ahluwalia, A. Teumer, M. E. Kleber, et al. 2017. “Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.” PLoS ONE 12 (1): e0167742. doi:10.1371/journal.pone.0167742. http://dx.doi.org/10.1371/journal.pone.0167742.

12.

Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes
by Ho, Jennifer E.

Ho, J. E., M. G. Larson, A. Ghorbani, S. Cheng, M. Chen, M. Keyes, E. P. Rhee, et al. 2016. “Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes.” PLoS ONE 11 (2): e0148361. doi:10.1371/journal.pone.0148361. http://dx.doi.org/10.1371/journal.pone.0148361.

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