Abstract

Background. Living things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching implications for a range spectrum of scientific disciplines including anthropology, agriculture, developmental biology, evolution and biomedicine. Results. We derived a statistical model for mapping specific genes or quantitative trait loci (QTLs) that control morphological shape. The model was formulated within the mixture framework, in which different types of shape are thought to result from genotypic discrepancies at a QTL. The EM algorithm was implemented to estimate QTL genotype-specific shapes based on a shape correspondence analysis. Computer simulation was used to investigate the statistical property of the model. Conclusion. By identifying specific QTLs for morphological shape, the model developed will help to ask, disseminate and address many major integrative biological and genetic questions and challenges in the genetic control of biological shape and function.

Original languageEnglish (US)
Article number28
JournalTheoretical Biology and Medical Modelling
Volume7
Issue number1
DOIs
StatePublished - Jul 5 2010

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Quantitative Trait Loci
Statistical Models
Statistical Model
Developmental Biology
Internal-External Control
Anthropology
Chromosome Mapping
Agriculture
Computer Simulation
Bacteria
Animals
Genes
Genotype
Correspondence Analysis
Computer simulation
Shape Analysis
EM Algorithm
Statistical property
Thing
Discrepancy

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Health Informatics

Cite this

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title = "A statistical model for mapping morphological shape",
abstract = "Background. Living things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching implications for a range spectrum of scientific disciplines including anthropology, agriculture, developmental biology, evolution and biomedicine. Results. We derived a statistical model for mapping specific genes or quantitative trait loci (QTLs) that control morphological shape. The model was formulated within the mixture framework, in which different types of shape are thought to result from genotypic discrepancies at a QTL. The EM algorithm was implemented to estimate QTL genotype-specific shapes based on a shape correspondence analysis. Computer simulation was used to investigate the statistical property of the model. Conclusion. By identifying specific QTLs for morphological shape, the model developed will help to ask, disseminate and address many major integrative biological and genetic questions and challenges in the genetic control of biological shape and function.",
author = "Guifang Fu and Arthur Berg and Kiranmoy Das and Jiahan Li and Runze Li and Rongling Wu",
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A statistical model for mapping morphological shape. / Fu, Guifang; Berg, Arthur; Das, Kiranmoy; Li, Jiahan; Li, Runze; Wu, Rongling.

In: Theoretical Biology and Medical Modelling, Vol. 7, No. 1, 28, 05.07.2010.

Research output: Contribution to journalArticle

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T1 - A statistical model for mapping morphological shape

AU - Fu, Guifang

AU - Berg, Arthur

AU - Das, Kiranmoy

AU - Li, Jiahan

AU - Li, Runze

AU - Wu, Rongling

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N2 - Background. Living things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching implications for a range spectrum of scientific disciplines including anthropology, agriculture, developmental biology, evolution and biomedicine. Results. We derived a statistical model for mapping specific genes or quantitative trait loci (QTLs) that control morphological shape. The model was formulated within the mixture framework, in which different types of shape are thought to result from genotypic discrepancies at a QTL. The EM algorithm was implemented to estimate QTL genotype-specific shapes based on a shape correspondence analysis. Computer simulation was used to investigate the statistical property of the model. Conclusion. By identifying specific QTLs for morphological shape, the model developed will help to ask, disseminate and address many major integrative biological and genetic questions and challenges in the genetic control of biological shape and function.

AB - Background. Living things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching implications for a range spectrum of scientific disciplines including anthropology, agriculture, developmental biology, evolution and biomedicine. Results. We derived a statistical model for mapping specific genes or quantitative trait loci (QTLs) that control morphological shape. The model was formulated within the mixture framework, in which different types of shape are thought to result from genotypic discrepancies at a QTL. The EM algorithm was implemented to estimate QTL genotype-specific shapes based on a shape correspondence analysis. Computer simulation was used to investigate the statistical property of the model. Conclusion. By identifying specific QTLs for morphological shape, the model developed will help to ask, disseminate and address many major integrative biological and genetic questions and challenges in the genetic control of biological shape and function.

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