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Full-Text Articles in Other Genetics and Genomics
Peroxisome Proliferator-Activated Receptor-Γ Coactivator 1-Α (Ppargc1a) Genetic Associations With Type 2 Diabetes In Three Ethnicities, Amanpreet K. Cheema
Peroxisome Proliferator-Activated Receptor-Γ Coactivator 1-Α (Ppargc1a) Genetic Associations With Type 2 Diabetes In Three Ethnicities, Amanpreet K. Cheema
FIU Electronic Theses and Dissertations
Genetic heterogeneity, lifestyle factors, gene-gene or gene-environment interactions are the determinants of T2D which puts Hispanics and populations with African ancestry at higher risk of developing T2D. In this dissertation, the genetic associations of PPARGC1A polymorphisms with T2D and its related phenotypes (metabolic markers) in Haitian Americans (cases=110, controls=116), African Americans (cases=120, controls=124) and Cuban Americans (cases=160, controls=181) of South Florida were explored. Five single nucleotide polymorphisms of gene PPARGC1A were evaluated in each ethnicity for their disease association. In Haitian Americans, rs7656250 (OR= 0.22, pp=0.03) had significant protective association with T2D but had risk association in African Americans …
Efficient Replication Of Over 180 Genetic Associations With Self-Reported Medical Data, Joyce Y. Tung, Chuong B. Do, David A. Hinds, Amy K. Kiefer, J. Michael Macpherson, Arnab B. Chowdry, Uta Francke, Brian Naughton, Joanna Mountain, Anne Wojcicki, Nicholas Eriksson
Efficient Replication Of Over 180 Genetic Associations With Self-Reported Medical Data, Joyce Y. Tung, Chuong B. Do, David A. Hinds, Amy K. Kiefer, J. Michael Macpherson, Arnab B. Chowdry, Uta Francke, Brian Naughton, Joanna Mountain, Anne Wojcicki, Nicholas Eriksson
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for obtaining large amounts of medical information from a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web-based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we …