Literature DB >> 16485021

Functional mapping - how to map and study the genetic architecture of dynamic complex traits.

Rongling Wu1, Min Lin.   

Abstract

The development of any organism is a complex dynamic process that is controlled by a network of genes as well as by environmental factors. Traditional mapping approaches for analysing phenotypic data measured at a single time point are too simple to reveal the genetic control of developmental processes. A general statistical mapping framework, called functional mapping, has been proposed to characterize, in a single step, the quantitative trait loci (QTLs) or nucleotides (QTNs) that underlie a complex dynamic trait. Functional mapping estimates mathematical parameters that describe the developmental mechanisms of trait formation and expression for each QTL or QTN. The approach provides a useful quantitative and testable framework for assessing the interplay between gene actions or interactions and developmental changes.

Mesh:

Year:  2006        PMID: 16485021     DOI: 10.1038/nrg1804

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  115 in total

1.  A dynamic model for functional mapping of biological rhythms.

Authors:  Guifang Fu; Jiangtao Luo; Arthur Berg; Zhong Wang; Jiahan Li; Kiranmoy Das; Runze Li; Rongling Wu
Journal:  J Biol Dyn       Date:  2011-01       Impact factor: 2.179

2.  Association mapping for pre-harvest sprouting resistance in white winter wheat.

Authors:  Pawan Kulwal; Goro Ishikawa; David Benscher; Zongyun Feng; Long-Xi Yu; Ashok Jadhav; Subhash Mehetre; Mark E Sorrells
Journal:  Theor Appl Genet       Date:  2012-05-01       Impact factor: 5.699

3.  Functional mapping of quantitative trait loci associated with rice tillering.

Authors:  G F Liu; M Li; J Wen; Y Du; Y-M Zhang
Journal:  Mol Genet Genomics       Date:  2010-08-06       Impact factor: 3.291

4.  Curve-based multivariate distance matrix regression analysis: application to genetic association analyses involving repeated measures.

Authors:  Rany M Salem; Daniel T O'Connor; Nicholas J Schork
Journal:  Physiol Genomics       Date:  2010-04-27       Impact factor: 3.107

5.  Bayesian analysis for genetic architecture of dynamic traits.

Authors:  L Min; R Yang; X Wang; B Wang
Journal:  Heredity (Edinb)       Date:  2010-03-24       Impact factor: 3.821

6.  Association analysis of grapevine bunch traits using a comprehensive approach.

Authors:  Javier Tello; Rafael Torres-Pérez; Jérôme Grimplet; Javier Ibáñez
Journal:  Theor Appl Genet       Date:  2015-11-04       Impact factor: 5.699

7.  Estimating Modifying Effect of Age on Genetic and Environmental Variance Components in Twin Models.

Authors:  Liang He; Mikko J Sillanpää; Karri Silventoinen; Jaakko Kaprio; Janne Pitkäniemi
Journal:  Genetics       Date:  2016-02-11       Impact factor: 4.562

8.  Mapping temporally varying quantitative trait loci in time-to-failure experiments.

Authors:  Frank Johannes
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

9.  A modified algorithm for the improvement of composite interval mapping.

Authors:  Huihui Li; Guoyou Ye; Jiankang Wang
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

10.  Wavelet-based parametric functional mapping of developmental trajectories with high-dimensional data.

Authors:  Wei Zhao; Hongying Li; Wei Hou; Rongling Wu
Journal:  Genetics       Date:  2007-04-15       Impact factor: 4.562

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