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False discoveries in genome scanning

E I Drigalenko¹, R C Elston

¹Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109-1998, USA.

Genetic Epidemiology

|January 1, 1997

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Multiple comparison methods were used for genome scanning linkage analysis. This study calculated p-values for over 440,000 linkage tests, illustrating results with distribution functions and false discovery rates.

Area of Science:

Genetics and Bioinformatics
Statistical Genomics

Background:

Genome scanning involves analyzing genetic linkage across the entire genome.
Multiple comparison methods are crucial for interpreting large-scale genetic analyses.

Purpose of the Study:

To apply multiple comparison methods to linkage analysis in genome scanning.
To evaluate the performance of these methods using Problem 2A data.

Main Methods:

Utilized multiple comparison techniques for linkage analysis.
Calculated p-values for 440,400 potential linkage tests.
Visualized results using distribution functions and false discovery rate plots.

Main Results:

Demonstrated the application of multiple comparison methods in a genome-wide context.

Related Experiment Videos

Provided visualizations of statistical distributions and error rates.

Quantified linkage evidence across a vast number of genetic markers.

Conclusions:

Multiple comparison methods are essential for robust genome scanning.
False discovery rate control is important for accurate linkage analysis.
The study provides a framework for interpreting large-scale genetic association studies.