| Application: | 15678, Genetic basis of circulating biomarkers, cardiometabolic disease, body composition and lifestyle |
| Title: | Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank |
| Size: | 3.3 MB |
| Archived: | 1 Apr 2021 |
| Stability: | Complete |
| Personal: | Contains individual-level data |
Return 3275
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Notes
Air pollution has adverse health consequences that may include increased obesity. Here, among UK Biobank participants at the baseline and follow-up visits, we examined the associations of air pollution levels near an individual s residence with body mass index and body fat percentage. We then examined whether an individual s genetic profile might accentuate or attenuate this association. We found positive associations between several measures of air pollution levels and obesity at the enrollment visit and the follow-up visit. We also found that these associations were accentuated among individuals at high genetic risk for obesity.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 |
|---|---|---|---|
| 2262 | 15678 | Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE | 24 Jul 2020 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 3276 | Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank | Melissa A Furlong (+1) | 2020 | Environmental Research |
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