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Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data.

Rajni Nigam¹, Stanley J F Laulederkind, G Thomas Hayman

¹Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin;

Physiological Genomics

|July 25, 2013

Summary

The Rat Genome Database (RGD) provides valuable quantitative trait loci (QTLs) data for over 1,900 rat studies. This resource aids in linking genetic variations to phenotypes and identifying disease-associated genes.

Keywords:

QTL Rat Genome Database mapping

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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Published on: August 20, 2019

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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Area of Science:

Genomics
Comparative Genomics
Bioinformatics

Background:

Rats are extensively utilized as disease models in laboratory research, generating substantial genetic and phenotype data.
The Rat Genome Database (RGD) serves as a central repository for this data, facilitating research into genomic variations and phenotypes.

Purpose of the Study:

To highlight the utility of quantitative trait loci (QTLs) data housed at the Rat Genome Database (RGD).
To emphasize RGD's role in enabling researchers to link genomic variations to phenotypes and identify disease-associated genes.
To underscore the importance of rat QTLs for cross-species comparative genomics.

Main Methods:

Curating and standardizing data on over 1,900 rat QTLs, including experimental details, genomic positions, and markers.
Integrating human and mouse QTL data (over 4,000 mouse QTLs) for cross-organism comparisons.
Utilizing multiple ontologies to standardize traits, phenotypes, diseases, and experimental methods.
Employing visualization tools like GBrowse and GViewer for QTL data exploration.
Providing tools for the analysis of gene sets within QTL regions.

Main Results:

RGD hosts comprehensive data on >1,900 rat QTLs, detailing methods, animals, genomic positions, and markers.
The database also includes >1,900 human QTLs and >4,000 mouse QTLs, facilitating comparative analyses.
Standardized data through ontologies enhances query capabilities and cross-organism comparisons.
Visualization and analysis tools are available for exploring QTL data and identifying candidate genes.

Conclusions:

The QTL data at RGD is a critical resource for studying mapped phenotypes in rats.
It significantly aids in the identification of candidate genes associated with various diseases.
RGD's comprehensive and integrated QTL data supports both rat-specific and cross-species genetic research.