Sample size requirements for association studies of gene-gene interaction.
By W. James Gauderman. American Journal of Epidemiology, 2002
621 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3baa9ad345042b759d174b9f5d9c79cecc0f49e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- P. Phillips
- Heather J. Cordell
- Jason H. Moore
- Duncan C. Thomas
- Scott M. Williams
- Tyler J. VanderWeele
- M. Knol
- X. Chen
In Molecular Biology
- P. Phillips
- Heather J. Cordell
- Jason H. Moore
- Duncan C. Thomas
- Scott M. Williams
- Tyler J. VanderWeele
- M. Knol
- X. Chen
Citations in the corpus
- Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems (2008, background): “The total number of tests that would be required suggests that stringent significance thresholds will be needed to control against false positives, but this in turn means that the only epistatic effects that will be detected will have to be huge and/or sample sizes will need to be very larg”
- Detecting gene-gene interactions that underlie human diseases (2009, background): “Given the larger sample sizes that are required when testing for interaction rather than main effect”
- Multiple New Loci Associated with Kidney Function and Chronic Kidney Disease: The CKDGen consortium (2010, neutral): “Power estimation for replication used QUANTO (see URLs”
- Interleukin 7 receptor α chain ( IL7R ) shows allelic and functional association with multiple sclerosis (2007, methodology): “The genotype frequencies in multiple sclerosis cases and controls suggested a recessive model for SNP rs6897932 at IL7Rα, which was used for the joint analysis of the US and European data sets ( Table 4 ), for the combined analysis of HLA and IL7R ( Table 5 ) and for the power calculations perform”