EDITORIAL
Multifactor-dimensionality reduction
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Correspondence to:
Correspondence to:
Dr J D Blakey
Division of Therapeutics, Queens Medical Centre, University of Nottingham, Nottingham, UK; john.blakey@nottingham.ac.uk
MDR, a primary tool for exploratory analyses
| The first 150 words of the full text of this article appear below. |
Despite the wealth of evidence that many common diseases have a strong heritable component, genetic association studies have provided disappointingly little insight into their pathophysiology. One reason for this is that, buoyed by the success of identifying underlying variants for over 1000 uncommon conditions, researchers have largely continued to ask simple questions of more complex disorders. However, in this issue of Thorax, Park et al1 (see page 265) present an association study that uses one of a number of new statistical methods that have the potential to produce more biologically relevant associations.
For much of the last century, the suggestion of a genetic association study as we now know them might have raised a few eyebrows, regardless of the leap in technology required. "Natura non facit saltum" (nature does not make leaps) was a favourite aphorism of Darwin and greatly influenced mathematical models of adaptation.2
Relevant Article
- Multilocus analysis of atopy in Korean children using multifactor-dimensionality reduction
- Heung-Woo Park, Eun-Soon Shin, Jong-Eun Lee, Hyouk-Soo Kwon, Eunyoung Chun, Sun-Sin Kim, Yoon-Seok Chang, Yoon-Keun Kim, Kyung-Up Min, You-Young Kim, and Sang-Heon Cho
Thorax 2007 62: 265-269.[Abstract] [Full Text] [PDF]
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