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Single Nucleotide Polymorphisms-SNPs

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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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Published on: June 21, 2018

[Artificial selection for cattle based on high-density SNP markers].

Xi-Dong Liu¹, Zhi-Peng Wang, Hui-Zhong Fan

¹Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Beef Cattle Research Center, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. liuxdchn@gmail.com

Yi Chuan = Hereditas

|October 27, 2012

Summary

This summary is machine-generated.

Artificial selection has significantly altered the genetics of beef cattle, improving production. This study mapped selection footprints across the bovine genome, identifying thousands of outlier loci and candidate genes.

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Area of Science:

Genomics
Animal Genetics
Evolutionary Biology

Context:

Recent advancements in genetic improvement technologies have substantially impacted beef cattle production.
Artificial selection has led to significant changes in the genetic architecture of cattle breeds.
High-density SNP arrays (Illumina BovineSNP50 and BovineHD) provide powerful tools for genomic analysis.

Purpose:

To analyze genetic differentiation in cattle using FST values.
To identify imprints of artificial selection across the bovine genome.
To establish a genome-wide map of selection footprints in beef cattle.

Summary:

Utilized Illumina BovineSNP50 (54K) and BovineHD (770K) BeadChip data and FST values to analyze genetic differentiation and selection signatures in cattle.
Identified 47,104 outlier Single Nucleotide Polymorphism (SNP) loci and 3,064 candidate genes, including CLIC5, TG, CACNA2D1, and FSHR.
Performed gene annotation to analyze biological processes and molecular functions of identified candidate genes.

Impact:

Established a comprehensive genome-wide map of selection footprints in beef cattle.
Provides crucial insights into the role of artificial selection in cattle breed improvement and genetic evolution.
Offers a foundation for future research into the genetic basis of economically important traits in cattle.