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Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Alignment uncertainty and genomic analysis.

Karen M Wong¹, Marc A Suchard, John P Huelsenbeck

¹Section of Ecology, Behavior and Evolution, University of California, San Diego, La Jolla, CA 92093, USA.

Science (New York, N.Y.)

|January 26, 2008

Summary

This summary is machine-generated.

Statistical methods for genomic data analysis overlook sequence alignment uncertainty. This can cause different alignment methods to yield conflicting conclusions in comparative genomics studies.

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Last Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Current statistical methods for genomic data analysis assume sequence alignments are accurate.
This assumption is often violated in comparative genomics, where thousands of genes are analyzed, many of which are difficult to align.

Purpose of the Study:

To investigate the impact of sequence alignment uncertainty on comparative genomics analyses.
To demonstrate how this uncertainty can affect study conclusions.

Main Methods:

Utilized genomic data from seven yeast species.
Applied standard statistical methods for genomic data analysis.

Main Results:

Sequence alignment uncertainty was shown to introduce significant problems in comparative genomics.
Different alignment methods produced divergent conclusions when applied to the same dataset.

Conclusions:

It is crucial to account for sequence alignment uncertainty in comparative genomics.
Ignoring this uncertainty can lead to unreliable or contradictory findings.