A statistical model for mapping morphological shape
TL;DR: A statistical model for mapping specific genes or quantitative trait loci that control morphological shape that 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 is derived.
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Abstract: 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. 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. 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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Citations
Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.
Mitchell J. Feldmann,Michael A. Hardigan,Randi A. Famula,Cindy M López,Amy Tabb,Glenn S. Cole,Steven J. Knapp +6 more
TL;DR: A dictionary of quantitative traits for studying and predicting shape classes and identifying genetic factors underlying phenotypic variability for fruit shape in strawberry is generated and should apply to other fruits, vegetables, and specialty crops.
Statistical shape models of cuboid, navicular and talus bones.
Aleksandra Melińska,Patryk Romaszkiewicz,Justyna Wagel,Bartlomiej Antosik,Marek Sasiadek,D. Robert Iskander +5 more
TL;DR: The study indicates high clinical potential of statistical shape modelling in the characterisation of tarsal bones and can be applied in medical image analysis, orthopaedics and biomechanics in order to provide support for preoperative planning, better diagnosis or implant design.
Holm multiple correction for large-scale gene-shape association mapping
TL;DR: A new multiple testing approach is proposed, constructed by combining an Intersection Union Test (IUT) with the Holm correction, which strongly controls the family-wise error rate (FWER) without any additional assumptions on the joint distribution of the test statistics or dependence structure of the markers.
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A major QTL controls susceptibility to spinal curvature in the curveback guppy
Kristen F. Gorman,Julian K. Christians,Jennifer Parent,Roozbeh Ahmadi,Detlef Weigel,Christine Dreyer,Felix Breden +6 more
TL;DR: A major effect QTL that acts in a recessive manner and accounts for curve susceptibility was detected in an initial mapping cross on LG 14 and this locus contains over 100 genes, including MTNR1B, a candidate gene for human idiopathic scoliosis.
References
•Book
Genetics and Analysis of Quantitative Traits
Michael Lynch,Bruce Walsh +1 more
- 01 Jan 1996
TL;DR: This book discusses the genetic Basis of Quantitative Variation, Properties of Distributions, Covariance, Regression, and Correlation, and Properties of Single Loci, and Sources of Genetic Variation for Multilocus Traits.
6.6K
Precision mapping of quantitative trait loci.
TL;DR: A new method of QTL mapping is proposed and analyzed in this paper by combining interval mapping with multiple regression, an interval test in which the test statistic on a marker interval is made to be unaffected by QTLs located outside a defined interval.
3.3K