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Genetic mapping of allometric scaling laws

Published online by Cambridge University Press:  04 July 2006

FEI LONG ,
YING QING CHEN ,
JAMES M. CHEVERUD  and
RONGLING WU
FEI LONG
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
YING QING CHEN
Affiliation:
Program in Biostatistics, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
JAMES M. CHEVERUD
Affiliation:
Department of Anatomy and Neurobiology, Washington University School of Medicine, St Louis, MO 631110, USA
RONGLING WU
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
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Abstract

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Many biological processes, from cellular metabolism to population dynamics, are characterized by particular allometric scaling relationships between rate and size (power laws). A statistical model for mapping specific quantitative trait loci (QTLs) that are responsible for allometric scaling laws has been developed. We present an improved model for allometric mapping of QTLs based on a more general allometry equation. This improved model includes two steps: (1) use model II regression analysis to estimate the parameters underlying universal allometric scaling laws, and (2) substitute the estimated allometric parameters in the mixture-based mapping model to obtain the estimation of QTL position and effects. This model has been validated by a real example for a mouse F2 progeny, in which two QTLs were detected on different chromosomes that determine the allometric relationship between growth rate and body weight.

Type
Research Article
Information
Genetics Research , Volume 87 , Issue 3 , June 2006 , pp. 207 - 216
Copyright
© 2006 Cambridge University Press