| Application: | 45676, The joint effects of genetic, lifestyle and environmental risk factors on common diseases and multimorbidity. |
| Title: | Association of obesity status and metabolic syndrome with site-specific cancers: a population-based cohort study |
| Size: | 440223 B |
| Archived: | 10 Jun 2021 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 3551
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Notes
BackgroundObesity and metabolic syndrome (MetS) appear in clusters and are both associated with an increased risk of cancer. However, it remains unknown whether obesity status with or without MetS increases the risk of site-specific cancers.
Methods
We used data derived from 390,575 individuals (37-73 years old) from the UK Biobank who were enrolled from 2006-2016 with a median of 7.8 years of follow-up. Obesity was defined by BMI ≥ 30 kg/m2 and MetS was defined by the criteria of the Adult Treatment Panel-III (ATP-III). Cox proportional hazards models were used to investigate the associations of BMI and MetS with 22 cancers.
Results
Metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) phenotypes represented 6.7% and 17.9% of the total analytic samples and 27.1% and 72.9% of the included subpopulation with obesity, respectively. Obesity was independently associated with higher risks of 10 of 22 cancers. Stratified by metabolic status, the MUO phenotype was consistently associated with 10 obesity-related cancers. In contrast, the MHO phenotype was only associated with increased risks of five cancers: endometrium, oesophagus, kidney, pancreas and postmenopausal breast cancers.
Conclusion
Even in metabolically healthy individuals, obesity was associated with increased risks of five cancers, whereas we did not find that these individuals were associated with increased risks of several other obesity-related cancers.
Application 45676
The joint effects of genetic, lifestyle and environmental risk factors on common diseases and multimorbidity.
Most of the diseases are caused by the interaction of genetic, environmental and lifestyle risk factors. According to the WHO, lifestyle can account for 60% of the health and longevity, genetic conditions 15%, environmental and social factors 17%, and medical conditions 8 %. More and more people are suffering from multiple non-communicable diseases(NCDs), such as diabetes, cancers, cardiovascular disease, and chronic obstructive pulmonary disease. However, there are few studies investigating the panoramic associations between genetic, environmental and lifestyle risk factors and common diseases which involved diabetes, site-specific cancers, cardiovascular diseases, mental diseases , chronic obstructive pulmonary disease(COPD), and Alzheimer's disease . The term "multimorbidity" in our study is referred to the coexistence of two or more common diseases in the same individual ? We will estimate the joint effect of the genetic, lifestyle and environmental risk factors on common diseases and multimorbidity. The polygenic risk scores for individuals will be calculated. The associations of genetic, environmental and lifestyle factors with the risk of common diseases will be tested using Cox proportional hazards. The prediction model for the risk of common diseases will be constructed using the machine learning methods, such as the random forest method. The proposed project will use existing data collected by UK Biobank and will take approximately 24 months to complete. Understanding genetic predisposition to disease and knowledge of lifestyle modifications is necessary for the public to make informed choices. To investigate the associations between the genetic, environmental and lifestyle risk factors and common diseases is of great importance for public health. The risk assessment tool for common diseases based on the combination of the genetic, environmental and lifestyle risk factors can provide decision -making supports for precise and individualized intervention.
| Lead investigator: | Professor Yaogang Wang |
| Lead institution: | Tianjin Medical University |
5 related Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3726 | 45676 | Associations of BMI and Serum Urate with Developing Dementia: A Prospective Cohort Study | 2 Aug 2021 |
| 4025 | 45676 | Associations of behaviors, biological phenotypes and cardiovascular health with risks of stroke and stroke subtypes: A prospective cohort study | 19 Oct 2021 |
| 4026 | 45676 | Associations of sleep duration and quality with incident cardiovascular disease, cancer, and mortality: a prospective cohort study of 407,500 UK biobank participants | 19 Oct 2021 |
| 4024 | 45676 | Metabolic Healthy Obesity, Vitamin D Status, and Risk of COVID-19 | 19 Oct 2021 |
| 4027 | 45676 | Polygenic risk score, healthy lifestyles, and risk of incident depression | 19 Oct 2021 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 3552 | Association of obesity status and metabolic syndrome with site-specific cancers: a population-based cohort study | Cao Z et al. | 2020 | Br J Cancer |
Enabling scientific discoveries that improve human health