Abstract
Ontogenetic growth can be described by mathematical equations constructed on the goodness of fit. Recently, the biological mechanism underlying mathematical growth equations has been explored using basic cellular properties. Here, we derive a general statistical model for understanding the genetic regulation of ontogenetic growth by integrating those biologically-proven meaningful growth equations into a quantitative trait locus (QTL) mapping framework. We can characterize the dynamic patterns of effects of QTL governing growth curves and estimate the global effect of the underlying QTL throughout the entire course of growth. The model provides the basis for deciphering genetic relationships for growth rates and the timing of life history events for any kind of organisms.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 31-37 |
| Number of pages | 7 |
| Journal | Growth, Development and Aging |
| Volume | 69 |
| Issue number | 1 |
| State | Published - Jun 1 2005 |
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All Science Journal Classification (ASJC) codes
- Agricultural and Biological Sciences(all)
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Mechanistic mapping of ontogenetic growth based on biological principles. / Lin, Min; Ma, Chang Xing; Zhao, Wei; Cheverud, James M.; Wu, Rongling.
In: Growth, Development and Aging, Vol. 69, No. 1, 01.06.2005, p. 31-37.Research output: Contribution to journal › Article
TY - JOUR
T1 - Mechanistic mapping of ontogenetic growth based on biological principles
AU - Lin, Min
AU - Ma, Chang Xing
AU - Zhao, Wei
AU - Cheverud, James M.
AU - Wu, Rongling
PY - 2005/6/1
Y1 - 2005/6/1
N2 - Ontogenetic growth can be described by mathematical equations constructed on the goodness of fit. Recently, the biological mechanism underlying mathematical growth equations has been explored using basic cellular properties. Here, we derive a general statistical model for understanding the genetic regulation of ontogenetic growth by integrating those biologically-proven meaningful growth equations into a quantitative trait locus (QTL) mapping framework. We can characterize the dynamic patterns of effects of QTL governing growth curves and estimate the global effect of the underlying QTL throughout the entire course of growth. The model provides the basis for deciphering genetic relationships for growth rates and the timing of life history events for any kind of organisms.
AB - Ontogenetic growth can be described by mathematical equations constructed on the goodness of fit. Recently, the biological mechanism underlying mathematical growth equations has been explored using basic cellular properties. Here, we derive a general statistical model for understanding the genetic regulation of ontogenetic growth by integrating those biologically-proven meaningful growth equations into a quantitative trait locus (QTL) mapping framework. We can characterize the dynamic patterns of effects of QTL governing growth curves and estimate the global effect of the underlying QTL throughout the entire course of growth. The model provides the basis for deciphering genetic relationships for growth rates and the timing of life history events for any kind of organisms.
UR - http://www.scopus.com/inward/record.url?scp=25844505545&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=25844505545&partnerID=8YFLogxK
M3 - Article
C2 - 16180591
AN - SCOPUS:25844505545
VL - 69
SP - 31
EP - 37
JO - Growth
JF - Growth
SN - 1041-1232
IS - 1
ER -