Related Experiment Video
Updated: Jun 20, 2025

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform
Published on: January 30, 2017
genomeprofile: Unveiling the genomic profile for livestock breeding through comprehensive SNP array-based genotyping
Ina Hulsegge1,2, Aniek C Bouwman1, Martijn F L Derks1
1Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands.
GenomeProfile analyzes single nucleotide polymorphism (SNP) array data to reveal genetic diversity, copy number variations, and inbreeding levels in livestock. This tool enhances precision breeding by providing a comprehensive genomic profile for improved animal selection and breeding strategies.
Area of Science:
- Animal Genetics
- Genomics
- Quantitative Genetics
Background:
- Single nucleotide polymorphism (SNP) arrays are vital in livestock breeding for trait association and breeding value prediction.
- Conventional breeding programs often miss crucial genomic information within SNP data, such as genetic diversity and structural variations.
- Identifying copy number variations (CNVs), runs of homozygosity (ROH), and aneuploidy is essential for a complete genomic assessment.
Purpose of the Study:
- To introduce genomeprofile, a novel tool for comprehensive genomic profiling of livestock using SNP array data.
- To integrate the analysis of CNVs, ROH, selection signatures, aneuploidy, and inbreeding into livestock breeding programs.
- To enhance precision breeding strategies through a detailed understanding of genomic variation.
Main Methods:
- Development of the genomeprofile tool to process SNP array data (finalreport or plink ped formats).
- Integration of algorithms to detect copy number variations (CNVs) and runs of homozygosity (ROH).
- Implementation of screening for aneuploidy and calculation of inbreeding coefficients.
Main Results:
- GenomeProfile successfully processed genotype data from four pig breeding lines.
- The tool generated comprehensive outputs including CNVs, ROH, selection signatures, aneuploidy, and inbreeding levels for individuals and populations.
- Identified unique individuals and genomic regions of interest within the studied pig breeding lines.
Conclusions:
- GenomeProfile provides a user-friendly and efficient method for detailed genomic analysis of livestock using SNP array data.
- The tool enables breeding companies and researchers to gain deeper insights into genomic diversity and identify potential breeding challenges.
- Integrating genomeprofile into breeding programs can significantly enhance the precision and effectiveness of selection strategies.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Single Nucleotide Polymorphisms-SNPs

