Genetic mapping of allometric scaling laws

Fei Long, Ying Qing Chen, James M. Cheverud, Rongling Wu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)207-216
Number of pages10
JournalGenetical research
Issue number3
StatePublished - Jun 2006

All Science Journal Classification (ASJC) codes

  • Genetics


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