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Pedigree Analysis01:35

Pedigree Analysis

Overview
Pedigree Analysis01:35

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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

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Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR
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Maternity validation using sire-only BovineSNP50 BeadChip data.

E Seroussi1, G Glick, A Shirak

  • 1The Volcani Center, Institute of Animal Sciences, ARO, Bet Dagan, 50250, Israel.

Animal Genetics
|June 1, 2013
PubMed
Summary
This summary is machine-generated.

Genetic analysis of Israeli Holstein bulls revealed approximately 3% annual error rate in pedigree data. Identity-by-state (IBS) distances using whole-genome SNP data helped identify kinship discrepancies.

Keywords:
dairy cattleparentage validationrelationship matrixsingle nucleotide polymorphism

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Area of Science:

  • Animal Genetics
  • Population Genetics
  • Genomics

Background:

  • Accurate pedigree information is crucial for genetic improvement programs in livestock.
  • Previous studies have highlighted potential inaccuracies in dairy cattle pedigrees.
  • The Israeli Holstein population is economically significant, necessitating reliable genetic evaluations.

Purpose of the Study:

  • To investigate genetic kinship and assess the accuracy of pedigree data in the Israeli Holstein cattle population.
  • To utilize whole-genome SNP data for precise kinship estimation.
  • To quantify potential errors in recorded parentage within the studied population.

Main Methods:

  • Genotyping of 789 Israeli Holstein bulls using the BovineSNP50 BeadChip.
  • Calculation of pairwise identity-by-state (IBS) distances based on whole-genome SNP data.
  • Application of discriminant analysis and dimensionality reduction techniques (e.g., canonical scores, x' and y' features) to visualize and group kinship levels.

Main Results:

  • Analysis of 932,598 IBS scores across 310,866 bull-pair combinations.
  • Identification of kinship discrepancies, particularly in recorded maternal grandsire-grandson pairs.
  • A statistically significant deviation (P < 0.05) in 28 out of 474 tested pairs, suggesting an approximate 3% error rate per generation in pedigree determination.

Conclusions:

  • The study indicates a notable rate of pedigree errors in the Israeli Holstein population, estimated at around 3% per generation.
  • Identity-by-state analysis provides a powerful tool for validating and correcting pedigree information in large-scale genomic studies.
  • These findings underscore the importance of integrating genomic data to ensure the integrity of genetic evaluations and breeding programs.