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Activity Number: 445
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #320030
Title: A Multilocus Genetic Score for Physical Activity
Author(s): Lingyao Yang* and Haley Hedlin
Companies: Stanford University and Stanford University
Keywords: biostatistics ; physical activity ; statistical genetics

While psychological, social, and environmental factors contribute significantly to physical activity behavior, it is important to recognize that activity behavior also has a biological basis and that genetic variation could affect individuals' propensity to be physically active or sedentary. The SNPs that have been previously identified to be associated with physical activity did not reach genome-wide significance. However, we want to apply a method which has been applied to cardiovascular disease to create a genetic score based on previously published GWAS results. We hypothesize that combining previously identified SNPs into a genetic score will improve on existing methods for detecting association between genetic information and levels of physical activity.

Authors who are presenting talks have a * after their name.

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