| Application: | 15678, Genetic basis of circulating biomarkers, cardiometabolic disease, body composition and lifestyle |
| Title: | Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE |
| Size: | 3.5 MB |
| Archived: | 24 Jul 2020 |
| Stability: | Complete |
| Personal: | Contains individual-level data |
Return 2262
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Notes
Physical inactivity is one of the most important risk factors for disease today. We undertook the largest genome-wide association study of habitual physical activity to date, in an effort to identify genes that may affect an individual s propensity to be physically active. Along with the genetic data from the UK Biobank, we used physical activity levels of each individual from the questionnaire responses and from the sensor that was worn for a week in a subset of UK Biobank participants. We identified over 20 genetic variants associated with these measures of habitual physical activity. Our results provide new insight into the genetic basis of habitual physical activity, and we hope will provide a foundation for a better understanding of the underlying biological mechanisms and of the links between physical activity and disease.Application 15678
Genetic basis of circulating biomarkers, cardiometabolic disease, body composition and lifestyle
The aim of the proposed research is to identify genetic variants which are associated with either one circulating biomarker or with several circulating biomarkers at once, and how these associations differ across racial/ethnic groups, medication use, lifestyle factors, and prevalent disease status. We are principally interested in biomarkers and diseases related to obesity, body composition, and lipid levels. Since these circulating biomarkers are major clues to health status and disease risk, the overarching purpose of this research is to better understand the etiology of major diseases such as type-2 diabetes and heart disease. With this improved etiological and molecular understanding, it may be possible to develop or improve therapeutics, and/or otherwise improve prediction and prevention of disease. We will essentially be looking for links between genetic variants, and biomarkers, disease, and body composition. We will consider all genetic variants which are available, and we will also focus on previously established/known genetic markers. We will look for genetic variants that are associated with biomarkers, disease status, body composition, lifestyle factors, and anthropometric traits. We will use standard statistical procedures such as linear and logistic regression, as well as multivariate regression. We would like to use the full cohort.
| Lead investigator: | Dr Yann Klimentidis |
| Lead institution: | University of Arizona |
1 related Return
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3275 | 15678 | Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank | 1 Apr 2021 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 2263 | Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE | Yann C. Klimentidis (+8) | 2018 | International Journal of Obesity |
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