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A statistical model for mapping morphological shape
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, e...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2915964/ https://www.ncbi.nlm.nih.gov/pubmed/20594352 http://dx.doi.org/10.1186/1742-4682-7-28 |
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author | Fu, Guifang Berg, Arthur Das, Kiranmoy Li, Jiahan Li, Runze Wu, Rongling |
author_facet | Fu, Guifang Berg, Arthur Das, Kiranmoy Li, Jiahan Li, Runze Wu, Rongling |
author_sort | Fu, Guifang |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2915964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29159642010-08-05 A statistical model for mapping morphological shape Fu, Guifang Berg, Arthur Das, Kiranmoy Li, Jiahan Li, Runze Wu, Rongling Theor Biol Med Model Research 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. BioMed Central 2010-07-01 /pmc/articles/PMC2915964/ /pubmed/20594352 http://dx.doi.org/10.1186/1742-4682-7-28 Text en Copyright ©2010 Fu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Fu, Guifang Berg, Arthur Das, Kiranmoy Li, Jiahan Li, Runze Wu, Rongling A statistical model for mapping morphological shape |
title | A statistical model for mapping morphological shape |
title_full | A statistical model for mapping morphological shape |
title_fullStr | A statistical model for mapping morphological shape |
title_full_unstemmed | A statistical model for mapping morphological shape |
title_short | A statistical model for mapping morphological shape |
title_sort | statistical model for mapping morphological shape |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2915964/ https://www.ncbi.nlm.nih.gov/pubmed/20594352 http://dx.doi.org/10.1186/1742-4682-7-28 |
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