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Related Concept Videos

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,...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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%...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scaleĀ  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
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.

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Updated: May 23, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

SNPpath: characterizing cattle SNPs by enriched pathway terms.

Qishan Wang1, Minghui Wang, Yumei Yang

  • 1School of Agriculture and Biology, Shanghai Jiao Tong University, China.

Animal Science Journal = Nihon Chikusan Gakkaiho
|April 21, 2012
PubMed
Summary
This summary is machine-generated.

SNPpath is a new web server that annotates cattle single nucleotide polymorphisms (SNPs) with KEGG pathway terms. This tool aids in analyzing complex genetic traits by integrating SNP data with pathway analysis for genomic selection.

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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

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Area of Science:

  • Genomics
  • Bioinformatics
  • Animal Genetics

Background:

  • High-density SNP microarrays enable large-scale Genome-Wide Association Studies (GWAS) and Genomic Selection (GS).
  • Understanding complex polygenic traits requires simultaneous analysis of functionally related gene sets.
  • Current tools lack comprehensive pathway annotations for cattle SNPs across major databases.

Purpose of the Study:

  • To develop and describe SNPpath, a web server for automatic annotation and characterization of cattle SNPs.
  • To provide pathway annotations using KEGG (Kyoto Encyclopedia of Genes and Genomes) terms.
  • To facilitate the analysis of large SNP sets and integration with pathway-driven gene set enrichment analysis.

Main Methods:

  • Development of a web server suite (SNPpath) for SNP annotation.
  • Enrichment of cattle SNPs with KEGG pathway terms.
  • Integration with NCBI's dbSNP database and three commercial SNP platforms.

Main Results:

  • SNPpath successfully annotates and characterizes cattle SNPs with enriched KEGG pathway terms.
  • The web server allows users to navigate and analyze large SNP sets efficiently.
  • SNPpath is the only current web server offering pathway annotations for cattle SNPs across specified databases.

Conclusions:

  • SNPpath provides a valuable resource for cattle genetic research by linking SNPs to biological pathways.
  • The tool is beneficial for combining SNP association analysis with pathway-driven gene set enrichment analysis.
  • SNPpath is freely available, promoting broader use in genomic selection and genetic studies.