Gene Mapping
Gene Mapping - Related Videos
11:37
QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
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Cited by 5 •
2017
Details are presented on how QTL mapping with a whole genome sequence based genetic map can be used to identify a drug resistance gene in Toxoplasma gondii and how this can be verified with the CRISPR/Cas9 system that efficiently edits a genomic target, in this case the drug resistance gene.
06:58
Fate Mapping
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2023
Fate mapping is a technique used to understand how embryonic cells divide, differentiate, and migrate during development. In classic fate mapping experiments, cells in different areas of an embryo are labeled with a chemical dye and then tracked to determine which tissues or structures they form. Technological improvements now allow for individual cells to be marked and traced throughout embryonic development and adulthood. This video reviews the concepts behind fate mapping, and then details a...
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
04:41
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Cited by 5 •
2020
We present a protocol to identify functional implications of non-coding variants identified by genome-wide association studies (GWAS) using three-dimensional chromatin interactions.
10:10
Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions
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2017
Here, we describe a protocol for genome-wide mapping of the integration sites of Moloney murine leukemia virus-based retroviral vectors in human cells.
FAQs
Researchers compare how often genetic markers are inherited together across offspring. A low recombination frequency supports close proximity between loci, whereas a higher frequency indicates greater separation. By evaluating these relationships among multiple markers, scientists can infer their relative arrangement along a chromosome, producing a linkage-based view of genome organization and inheritance.
Linkage mapping estimates relative distances from inheritance patterns and recombination frequencies. Physical mapping instead uses genomic landmarks and sequence information to estimate the exact locations of genes or other DNA markers. The two approaches therefore describe chromosome organization differently: one emphasizes genetic association, while the other emphasizes positions within the genome.
Genetic markers provide recognizable reference points for tracking inheritance across offspring. Their co-inheritance patterns allow researchers to compare loci and identify whether they tend to remain together or separate through recombination. These relationships help organize genes relative to one another, even when the biological role or sequence of a particular gene is not yet fully understood.
A linkage map requires inheritance data from offspring together with the genetic markers being compared. Researchers determine how frequently marker combinations are inherited together, then interpret lower or higher recombination frequencies as evidence of closer or greater separation. This process produces relative positional information rather than the exact sequence-based coordinates supplied by physical mapping.
Scientists follow selected genetic markers through offspring and record which markers are inherited together. They then calculate or compare recombination frequencies among the loci. Patterns showing frequent co-inheritance support closer relative positions, while more frequent separation suggests greater distance. This workflow connects observed inheritance patterns with chromosome organization and trait transmission.
Gene mapping supports several research goals, including identifying disease-associated variants, analyzing inherited traits, assembling genomes, and comparing genomes across biological subjects. Researchers can use relative linkage information or sequence-based physical locations according to the question being studied. The resulting positional framework also contributes to genetic diagnosis and investigations of genome function.