Shape mapping: Genetic mapping meets geometric morphometrics

Wenhao Bo, Zhong Wang, Fang Xu, Guifang Fu, Yihan Sui, Weimiao Wu, Xuli Zhu, Danni Yin, Qin Yan, Rongling Wu

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Knowledge about biological shape has important implications in biology and biomedicine, but the underlying genetic mechanisms for shape variation have not been well studied. Statistical models play a pivotal role in mapping specific quantitative trait loci (QTLs) that contribute to biological shape and its developmental trajectories. We describe and assess a statistical framework for shape gene identification that incorporates shape and image analysis into a mixture-model framework for QTL mapping. Statistical parameters that define genotype-specific differences in biological shape are estimated by implementing statistical and computational algorithms. A state-of-the-art procedure is described to examine the control patterns of specific QTLs on the origin, properties and functions of biological shape. The statistical framework described will help to address many integrative biological and genetic questions and challenges in shape variation faced by the life sciences community.

Original languageEnglish (US)
Article numberbbt008
Pages (from-to)571-581
Number of pages11
JournalBriefings in Bioinformatics
Volume15
Issue number4
DOIs
StatePublished - Jan 1 2014

Fingerprint

Quantitative Trait Loci
Image analysis
Biological Science Disciplines
Genes
Trajectories
Statistical Models
Genotype

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Molecular Biology

Cite this

Bo, Wenhao ; Wang, Zhong ; Xu, Fang ; Fu, Guifang ; Sui, Yihan ; Wu, Weimiao ; Zhu, Xuli ; Yin, Danni ; Yan, Qin ; Wu, Rongling. / Shape mapping : Genetic mapping meets geometric morphometrics. In: Briefings in Bioinformatics. 2014 ; Vol. 15, No. 4. pp. 571-581.
@article{bae01a3c7e07406c85c8c758dcfcd9b4,
title = "Shape mapping: Genetic mapping meets geometric morphometrics",
abstract = "Knowledge about biological shape has important implications in biology and biomedicine, but the underlying genetic mechanisms for shape variation have not been well studied. Statistical models play a pivotal role in mapping specific quantitative trait loci (QTLs) that contribute to biological shape and its developmental trajectories. We describe and assess a statistical framework for shape gene identification that incorporates shape and image analysis into a mixture-model framework for QTL mapping. Statistical parameters that define genotype-specific differences in biological shape are estimated by implementing statistical and computational algorithms. A state-of-the-art procedure is described to examine the control patterns of specific QTLs on the origin, properties and functions of biological shape. The statistical framework described will help to address many integrative biological and genetic questions and challenges in shape variation faced by the life sciences community.",
author = "Wenhao Bo and Zhong Wang and Fang Xu and Guifang Fu and Yihan Sui and Weimiao Wu and Xuli Zhu and Danni Yin and Qin Yan and Rongling Wu",
year = "2014",
month = "1",
day = "1",
doi = "10.1093/bib/bbt008",
language = "English (US)",
volume = "15",
pages = "571--581",
journal = "Briefings in Bioinformatics",
issn = "1467-5463",
publisher = "Oxford University Press",
number = "4",

}

Bo, W, Wang, Z, Xu, F, Fu, G, Sui, Y, Wu, W, Zhu, X, Yin, D, Yan, Q & Wu, R 2014, 'Shape mapping: Genetic mapping meets geometric morphometrics', Briefings in Bioinformatics, vol. 15, no. 4, bbt008, pp. 571-581. https://doi.org/10.1093/bib/bbt008

Shape mapping : Genetic mapping meets geometric morphometrics. / Bo, Wenhao; Wang, Zhong; Xu, Fang; Fu, Guifang; Sui, Yihan; Wu, Weimiao; Zhu, Xuli; Yin, Danni; Yan, Qin; Wu, Rongling.

In: Briefings in Bioinformatics, Vol. 15, No. 4, bbt008, 01.01.2014, p. 571-581.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Shape mapping

T2 - Genetic mapping meets geometric morphometrics

AU - Bo, Wenhao

AU - Wang, Zhong

AU - Xu, Fang

AU - Fu, Guifang

AU - Sui, Yihan

AU - Wu, Weimiao

AU - Zhu, Xuli

AU - Yin, Danni

AU - Yan, Qin

AU - Wu, Rongling

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Knowledge about biological shape has important implications in biology and biomedicine, but the underlying genetic mechanisms for shape variation have not been well studied. Statistical models play a pivotal role in mapping specific quantitative trait loci (QTLs) that contribute to biological shape and its developmental trajectories. We describe and assess a statistical framework for shape gene identification that incorporates shape and image analysis into a mixture-model framework for QTL mapping. Statistical parameters that define genotype-specific differences in biological shape are estimated by implementing statistical and computational algorithms. A state-of-the-art procedure is described to examine the control patterns of specific QTLs on the origin, properties and functions of biological shape. The statistical framework described will help to address many integrative biological and genetic questions and challenges in shape variation faced by the life sciences community.

AB - Knowledge about biological shape has important implications in biology and biomedicine, but the underlying genetic mechanisms for shape variation have not been well studied. Statistical models play a pivotal role in mapping specific quantitative trait loci (QTLs) that contribute to biological shape and its developmental trajectories. We describe and assess a statistical framework for shape gene identification that incorporates shape and image analysis into a mixture-model framework for QTL mapping. Statistical parameters that define genotype-specific differences in biological shape are estimated by implementing statistical and computational algorithms. A state-of-the-art procedure is described to examine the control patterns of specific QTLs on the origin, properties and functions of biological shape. The statistical framework described will help to address many integrative biological and genetic questions and challenges in shape variation faced by the life sciences community.

UR - http://www.scopus.com/inward/record.url?scp=84904747587&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904747587&partnerID=8YFLogxK

U2 - 10.1093/bib/bbt008

DO - 10.1093/bib/bbt008

M3 - Article

C2 - 23460593

AN - SCOPUS:84904747587

VL - 15

SP - 571

EP - 581

JO - Briefings in Bioinformatics

JF - Briefings in Bioinformatics

SN - 1467-5463

IS - 4

M1 - bbt008

ER -

Bo W, Wang Z, Xu F, Fu G, Sui Y, Wu W et al. Shape mapping: Genetic mapping meets geometric morphometrics. Briefings in Bioinformatics. 2014 Jan 1;15(4):571-581. bbt008. https://doi.org/10.1093/bib/bbt008