## Abstract Genome‐wide association studies have recently identified many new loci associated with human complex diseases. These newly discovered variants typically have weak effects requiring studies with large numbers of individuals to achieve the statistical power necessary to identify them. Lik
Meta-analysis of new genome-wide association studies of colorectal cancer risk
✍ Scribed by Ulrike Peters; Carolyn M. Hutter; Li Hsu; Fredrick R. Schumacher; David V. Conti; Christopher S. Carlson; Christopher K. Edlund; Robert W. Haile; Steven Gallinger; Brent W. Zanke; Mathieu Lemire; Jagadish Rangrej; Raakhee Vijayaraghavan; Andrew T. Chan; Aditi Hazra; David J. Hunter; Jing Ma; Charles S. Fuchs; Edward L. Giovannucci; Peter Kraft; Yan Liu; Lin Chen; Shuo Jiao; Karen W. Makar; Darin Taverna; Stephen B. Gruber; Gad Rennert; Victor Moreno; Cornelia M. Ulrich; Michael O. Woods; Roger C. Green; Patrick S. Parfrey; Ross L. Prentice; Charles Kooperberg; Rebecca D. Jackson; Andrea Z. LaCroix; Bette J. Caan; Richard B. Hayes; Sonja I. Berndt; Stephen J. Chanock; Robert E. Schoen; Jenny Chang-Claude; Michael Hoffmeister; Hermann Brenner; Bernd Frank; Stéphane Bézieau; Sébastien Küry; Martha L. Slattery; John L. Hopper; Mark A. Jenkins; Loic Le Marchand; Noralane M. Lindor; Polly A. Newcomb; Daniela Seminara; Thomas J. Hudson; David J. Duggan; John D. Potter; Graham Casey
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 421 KB
- Volume
- 131
- Category
- Article
- ISSN
- 0340-6717
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