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Related Concept Videos

Pedigree Analysis01:35

Pedigree Analysis

Overview
Pedigree Analysis01:35

Pedigree Analysis

Overview
Incomplete Dominance01:43

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.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Trihybrid Crosses02:27

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...
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...

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Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
08:39

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Published on: September 1, 2017

IPED: inheritance path-based pedigree reconstruction algorithm using genotype data.

Dan He1, Zhanyong Wang, Buhm Han

  • 11 IBM T.J. Watson Research , Yorktown Heights, New York.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|October 8, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient algorithm for reconstructing large family trees (pedigree reconstruction) from genetic data. The new method is faster and more accurate than existing approaches, especially for complex pedigrees.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Pedigree reconstruction is crucial in genetics for understanding inheritance patterns.
  • Existing automated methods are often slow and inaccurate for complex pedigrees, including those with inbreeding.

Purpose of the Study:

  • To develop an efficient and accurate algorithm for reconstructing large pedigrees from genotype data.
  • To overcome the limitations of current time-consuming and inaccurate pedigree reconstruction methods.

Main Methods:

  • A novel algorithm reconstructs pedigrees generation by generation, moving backward in time from the present.
  • It utilizes an inheritance path-based approach with dynamic programming to predict relationships within generations.
  • The algorithm is designed for efficiency and scalability to large datasets.

Main Results:

  • The algorithm demonstrates linear time complexity concerning the number of reconstructed generations.
  • It achieves reasonable accuracy in reconstructing complex and large pedigrees.
  • This represents the first practical method for large-scale pedigree reconstruction from genotype data.

Conclusions:

  • The proposed algorithm offers a significant advancement in automated pedigree reconstruction.
  • It provides an efficient and accurate solution for analyzing large and complex family structures in genetic studies.
  • This method facilitates deeper insights into genetic inheritance and population genetics.