Projects per year
Abstract
Background: Risk factors for pancreatic cancer include a cluster of metabolic conditions such as obesity, hypertension, dyslipidemia, insulin resistance and type 2 diabetes. Given that these risk factors are correlated, separating out causal from confounded effects is challenging. Mendelian randomization (MR), or the use of genetic instrumental variables, may facilitate the identification of the metabolic drivers of pancreatic cancer.
Methods: We identified genetic instruments for obesity, body shape, dyslipidemia, insulin resistance and type 2 diabetes, in order to evaluate their causal role in pancreatic cancer etiology. These instruments were analyzed in relation to risk within a series of 7,110 pancreatic cancer cases and 7,264 controls using genome-wide data from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4).
Results: A likelihood-based MR approach indicated a robust causal association of increasing body-mass index (BMI) with pancreatic cancer risk (OR [95%CI]= 1.34 [1.09-1.65]; for each standard deviation (SD) increase in BMI (4.6 Kg/m2
)). There was also evidence that genetically increased fasting insulin levels were causally associated with an increased risk of pancreatic cancer (OR [95%CI]= 1.66 [1.05-2.63]; per SD (44.4 pmol/l)). Notably, no evidence of a causal relationship was observed for type 2 diabetes, nor for dyslipidemia. Assessment of potential unknown pleiotropic effects using a weighted-median approach and MR-Egger sensitivity analyses did not indicate that pleiotropy was an important source of bias.
Conclusions: Our results suggest a causal role of BMI and fasting insulin in pancreatic cancer etiology.
Methods: We identified genetic instruments for obesity, body shape, dyslipidemia, insulin resistance and type 2 diabetes, in order to evaluate their causal role in pancreatic cancer etiology. These instruments were analyzed in relation to risk within a series of 7,110 pancreatic cancer cases and 7,264 controls using genome-wide data from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4).
Results: A likelihood-based MR approach indicated a robust causal association of increasing body-mass index (BMI) with pancreatic cancer risk (OR [95%CI]= 1.34 [1.09-1.65]; for each standard deviation (SD) increase in BMI (4.6 Kg/m2
)). There was also evidence that genetically increased fasting insulin levels were causally associated with an increased risk of pancreatic cancer (OR [95%CI]= 1.66 [1.05-2.63]; per SD (44.4 pmol/l)). Notably, no evidence of a causal relationship was observed for type 2 diabetes, nor for dyslipidemia. Assessment of potential unknown pleiotropic effects using a weighted-median approach and MR-Egger sensitivity analyses did not indicate that pleiotropy was an important source of bias.
Conclusions: Our results suggest a causal role of BMI and fasting insulin in pancreatic cancer etiology.
| Original language | English |
|---|---|
| Article number | djx012 |
| Number of pages | 9 |
| Journal | Journal of the National Cancer Institute |
| Volume | 109 |
| Issue number | 9 |
| Early online date | 28 Apr 2017 |
| DOIs | |
| Publication status | Published - 1 Sept 2017 |
Research Groups and Themes
- ICEP
Keywords
- Obesity
- metabolic factors
- pancreatic cancer
- two-sample Mendelian randomization
Fingerprint
Dive into the research topics of 'The Role of Obesity, Type 2 Diabetes, and Metabolic Factors in Pancreatic Cancer: A Mendelian Randomization Study'. Together they form a unique fingerprint.Projects
- 3 Finished
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MRC UoB UNITE Unit - Programme 1
Davey Smith, G. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
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MRC UoB UNITE Unit - Programme 2
Relton, C. L. (Principal Investigator) & Relton, C. L. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
Profiles
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Professor George Davey Smith
- MRC Integrative Epidemiology Unit
- Bristol Medical School (PHS) - Professor of Clinical Epidemiology
Person: Academic , Member, Group lead
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Professor Richard M Martin
- Bristol Medical School (PHS) - Associate Pro Vice Chancellor (Research & Innovation) & Professor of Clinical Epidemiology
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
- Cancer
Person: Academic , Member