Abstract
Growing evidence suggests that complex gene and environment interactions underlie a number of diseases including chronic inflammatory diseases of the digestive system. The rapid advances in information and technology provide opportunities to discover the risks or etiology for a variety of disorders within individual patients. However, the availability of new data and new technology has outstripped the conceptual framework of simple disorders and challenges current statistical approaches. Here we address the issues surrounding study design and sample size for complex genetic traits, with special attention to meta-analysis and systems biology. We conclude that meta-analysis should play a limited role in evaluating studies of complex genetic diseases. Instead, systems biology-based approaches should be developed to integrate multiple, focused, and mechanistic association studies with the goal of assisting in the risk assessment of patients on a person-by-person basis.
Original language | English |
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Pages (from-to) | 2195-2202 |
Number of pages | 8 |
Journal | Digestive Diseases and Sciences |
Volume | 50 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2005 |
Externally published | Yes |
Keywords
- Acute pancreatitis
- Candidate gene
- Chronic pancreatitis
- Complex traits
- Crohn's disease
- Genetic linkage
- Genetics
- Inflammatory bowel disease
- Meta-analysis
- Pancreas
- Pancreatitis
- Power calculations
- Sample size
- Study size
- Systems biology