Funmap

Funmap identifies quantitative trait loci (QTL) associated with longitudinal or function-valued phenotypic traits by applying functional mapping to model growth trajectories, allometric scalings, and norms of reaction.


Key Features:

  • Function-Valued Traits: Models continuous, infinite-dimensional traits that change over an independent variable, including growth trajectories, allometric scalings, and norms of reaction.
  • Functional Mapping Strategy: Integrates mathematical relationships between traits or variables within the genetic mapping framework to analyze function-valued phenotypes.
  • Logistic Mapping: Implements logistic (S-shaped) growth models based on the biological principle that growth over time follows exponential or sigmoidal patterns.
  • Statistical Approach: Employs a logistic-mixture model with maximum-likelihood estimation executed via the Expectation-Maximization (EM) algorithm to estimate QTL positions, effects, and trajectory parameters.
  • Enhanced Detection Power: Improves QTL detection power, parameter estimation precision, and localization resolution by reducing parameter count, leveraging pleiotropic QTL effects, and accounting for residual correlations across ages.
  • Biological Hypotheses Testing: Enables testing of hypotheses about the genetic basis of quantitative variation and the role of development in evolution and domestication.

Scientific Applications:

  • QTL mapping of growth trajectories: Maps loci affecting longitudinal phenotypes and other function-valued traits.
  • Forest tree growth studies: Detects QTLs affecting stem growth in forest trees across developmental time points.
  • Evolutionary and domestication research: Investigates how developmental genetic variation contributes to evolution and domestication.

Methodology:

Applies functional mapping using logistic (S-shaped) curve models and a logistic-mixture model, estimates parameters by maximum likelihood via the Expectation-Maximization (EM) algorithm, and accounts for residual correlations across ages while reducing parameter dimensionality.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
12/18/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Ma C, Casella G, Wu R. Functional Mapping of Quantitative Trait Loci Underlying the Character Process: A Theoretical Framework. Genetics. 2002;161(4):1751-1762. doi:10.1093/genetics/161.4.1751. PMID:12196415. PMCID:PMC1462199.

Documentation

Links