Abstract
The development of any organism is a complex dynamic process that is controlled by a network of genes as well as by environmental factors. Traditional mapping approaches for analysing phenotypic data measured at a single time point are too simple to reveal the genetic control of developmental processes. A general statistical mapping framework, called functional mapping, has been proposed to characterize, in a single step, the quantitative trait loci (QTLs) or nucleotides (QTNs) that underlie a complex dynamic trait. Functional mapping estimates mathematical parameters that describe the developmental mechanisms of trait formation and expression for each QTL or QTN. The approach provides a useful quantitative and testable framework for assessing the interplay between gene actions or interactions and developmental changes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 229-237 |
| Number of pages | 9 |
| Journal | Nature Reviews Genetics |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2006 |
All Science Journal Classification (ASJC) codes
- Molecular Biology
- Genetics
- Genetics(clinical)
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