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Principles of Pharmacogenetics: Types of Genetic Variants

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Related Experiment Video

Updated: Jul 7, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

Searching for functional genetic variants in non-coding DNA.

Joanna Cobb¹, Cara Büsst, Steven Petrou

¹Department of Physiology, The University of Melbourne, Victoria, Australia.

Clinical and Experimental Pharmacology & Physiology

|March 1, 2008

Summary

This summary is machine-generated.

Identifying non-coding DNA variants is crucial for understanding complex human diseases. Comparative genomics offers a high-throughput method to find functionally significant non-coding variations, advancing genetic research.

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Area of Science:

Genetics
Genomics
Evolutionary Biology

Background:

Complex human polygenic conditions are a major focus of genetic research.
Few coding DNA sequence variants identified for these conditions suggest non-coding variation's role.
Non-coding DNA contains regulatory elements affecting gene expression, but their function is poorly understood.

Purpose of the Study:

To review the potential of comparative genomics for identifying functionally important non-coding sequence variation.
To highlight a high-throughput technique for analyzing non-coding DNA in complex diseases.

Main Methods:

Comparative genomics: studying evolutionary DNA conservation to identify regulatory elements.
Focus on high-throughput techniques for non-coding DNA analysis.

Main Results:

Comparative genomics aids in identifying non-coding DNA elements.
This approach facilitates the analysis of non-coding variation in complex diseases.

Conclusions:

Non-coding sequence variation likely contributes to complex human polygenic conditions.
Comparative genomics presents a promising high-throughput strategy for discovering functionally significant non-coding variants relevant to disease.