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Related Concept Videos

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...
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%...
What is Population Genetics?01:25

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.While some alleles of a given gene might be observed commonly, other variants...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...

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Related Experiment Video

Updated: Jun 15, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Comparing spatial maps of human population-genetic variation using Procrustes analysis.

Chaolong Wang1, Zachary A Szpiech, James H Degnan

  • 1University of Michigan, USA. chaolong@umich.edu

Statistical Applications in Genetics and Molecular Biology
|March 4, 2010
PubMed
Summary

Statistical maps from human population genetics align with geographic data. Procrustes analysis quantitatively confirms this concordance for single-nucleotide polymorphism (SNP) and copy-number variant (CNV) data.

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Area of Science:

  • Population Genetics
  • Bioinformatics
  • Statistical Genomics

Background:

  • Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) are increasingly used to visualize human population genetic data.
  • Qualitative observations suggest statistical maps derived from genetic data resemble geographic maps of sample origins.

Purpose of the Study:

  • To quantitatively assess the similarity between genetic variation maps and geographic maps.
  • To provide formal statistical tests for observed concordances.

Main Methods:

  • Procrustes analysis was employed to compare genetic maps (derived from PCA/MDS) with geographic maps.
  • Analyses utilized single-nucleotide polymorphism (SNP) data from European and worldwide samples.
  • Copy-number variant (CNV) data was also analyzed for concordance with SNP data.

Main Results:

  • A high level of concordance was confirmed between statistical genetic maps and geographic maps for SNP data.
  • Procrustes analysis verified concordance between PCA and MDS results for SNP data.
  • Statistical maps of CNV variation showed concordance with SNP variation maps, particularly with high-quality data.

Conclusions:

  • Procrustes analysis offers a quantitative method to assess the relationship between genetic variation and geography.
  • This approach is valuable for interpreting statistical maps generated by PCA and MDS in population genetics.
  • The findings support the utility of genetic data in reflecting geographic sampling patterns.