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Related Concept Videos

Homologous Recombination02:31

Homologous Recombination

The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
Homologous Recombination02:31

Homologous Recombination

The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
Crossing Over01:30

Crossing Over

Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I, duplicated...
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...
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...

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Related Experiment Video

Updated: Jul 20, 2026

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria
10:27

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria

Published on: November 10, 2015

A new method for detecting human recombination hotspots and its applications to the HapMap ENCODE data.

Jun Li1, Michael Q Zhang, Xuegong Zhang

  • 1Bioinformatics Division, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China.

American Journal of Human Genetics
|September 9, 2006
PubMed
Summary

A new computational method accurately detects recombination hotspots using population data. This approach aids in understanding genetic recombination and has implications for association studies and genomic research.

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Area of Science:

  • Genetics
  • Computational Biology

Background:

  • Recombination hotspots are crucial for genetic diversity and association studies.
  • Accurate computational detection of these hotspots from population data is essential.

Purpose of the Study:

  • To develop and validate a novel computational method for detecting multiple recombination hotspots.
  • To analyze the characteristics and population-specific nature of recombination hotspots.

Main Methods:

  • A multiple-hotspot model and an approximate log-likelihood ratio test were employed.
  • A truncated, weighted pairwise log-likelihood and forward-selection were used for hotspot prediction.
  • The method was applied to HapMap ENCODE data and validated against simulation data.

Main Results:

  • The method demonstrated high power and low false-positive rates in simulations.
  • Performance was comparable to leading computational methods on experimental data.
  • 172 hotspots were identified in HapMap ENCODE data, with an average width of 2.4 kb.
  • Evidence suggests population-specific differences in recombination hotspots.
  • DNaseI-hypersensitive sites were found to be enriched in hotspots.

Conclusions:

  • The proposed method offers an efficient and accurate tool for recombination hotspot detection.
  • Findings suggest conserved and population-specific mechanisms influencing recombination.
  • Enrichment of DNaseI-hypersensitive sites points to regulatory roles in recombination hotspots.