Seminar – Longitudinal growth modeling: a tool for genetic discovery
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Distinct growth patterns during adolescence correlate with adverse health outcomes such as poor cardiometabolic health and risk for osteoporosis, but the genetic mechanisms mediating differences in growth trajectories remain largely unknown. Longitudinal modeling using SuperImposition by Translation and Rotation (SITAR) breaks down complex growth trajectories into three components, “size”, “timing”, and “velocity.” We utilize these parameters as phenotypes for input into genome-wide association studies (GWAS), to better understand the genetic determinants of increase in bone mineral density at distinct skeletal sites and height growth.
This talk is part of the MRC Epidemiology and CEDAR Seminars series.
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