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Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Trihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal chance to...

Incomplete Dominance

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

Dihybrid Crosses

Dihybrid Crosses

Dihybrid Crosses

Dihybrid Crosses

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Published on: August 15, 2019

Optimal peeling order for pedigrees with incomplete genotypic information.

Nadezhda M Belonogova¹, Tatiana I Axenovich

¹Institute of Cytology & Genetics, Siberian Division of Russian Academy of Sciences, Lavrentyeva Ave. 10, Novosibirsk 630090, Russia.

Computational Biology and Chemistry

|May 15, 2007

Summary

This study introduces a novel graph theoretic algorithm for optimizing peeling order in loop-free pedigrees with missing genetic data. This method enhances the efficiency of complex linkage analysis and genetic parameter estimation.

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Area of Science:

Genetics and Bioinformatics
Computational Biology
Statistical Genetics

Background:

Likelihood calculations in linkage analysis of large pedigrees commonly employ peeling procedures.
The efficiency of these calculations is sensitive to the chosen peeling order, especially with loops or incomplete genotypic data.
Existing algorithms primarily address loop-containing pedigrees, leaving a gap for loop-free structures.

Purpose of the Study:

To develop a new graph theoretic algorithm for optimal peeling order selection in loop-free pedigrees with incomplete genotypic information.
To improve the computational efficiency of likelihood calculations in genetic analyses.
To facilitate genetic parameter estimation and multi-locus linkage analysis.

Main Methods:

A novel graph theoretic algorithm for optimal peeling order selection.
Application to zero-loop pedigrees with incomplete genotypic data.
Integration potential with existing Elston-Stewart algorithm-based software.

Main Results:

A new algorithm effectively determines optimal peeling orders for loop-free pedigrees.
The method enhances efficiency for complex likelihood calculations, particularly when multiple analyses are required.
The algorithm is implemented in the freely available software package PedPeel.

Conclusions:

The proposed graph theoretic algorithm provides a solution for optimizing peeling order in loop-free pedigrees with missing genotype data.
This advancement improves the computational feasibility of genetic linkage analysis and parameter estimation.
The PedPeel software package offers a practical implementation for researchers.