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Updated: Jun 20, 2026

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

A pharmacogene database enhanced by the 1000 Genomes Project.

Eric R Gamazon¹, Wei Zhang, R Stephanie Huang

¹Department of Medicine, The University of Chicago, Illinois, USA.

Pharmacogenetics and Genomics

|September 12, 2009

Summary

Human genetic variation influences drug response. A new database integrates 1000 Genomes Project data for pharmacogenetic research, aiding the study of pharmacogenes.

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Last Updated: Jun 20, 2026

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

Area of Science:

Pharmacogenetics
Genomics
Bioinformatics

Background:

Human genetic variation significantly impacts complex traits, including individual drug responses.
Genome-wide association studies and candidate-gene approaches have identified single nucleotide polymorphisms related to drug response.
Existing datasets like the International HapMap Project focus on common variants, necessitating more comprehensive variation data.

Purpose of the Study:

To present a new database of pharmacogenes.
To facilitate the utilization of 1000 Genomes Project data for pharmacogenetic research.
To provide a convenient portal for accessing comprehensive human genetic variation data.

Main Methods:

Leveraging next-generation sequencing platforms for comprehensive human genetic variation mapping.
Developing a database focused on pharmacogenes.
Integrating data from the 1000 Genomes Project.

Main Results:

A new database of pharmacogenes has been created.
The database provides a user-friendly interface for accessing 1000 Genomes Project data.
The database enables immediate application of new genetic variation data in pharmacogenetic studies.

Conclusions:

The developed database addresses the challenge of accessing and utilizing large-scale genetic variation data.
This resource is expected to advance pharmacogenetic research by enabling deeper investigation into drug response variability.
The database serves as a crucial tool for researchers studying the genetic basis of drug response.