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Related Experiment Video

Updated: Jun 19, 2026

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Detecting genomic aberrations using products in a multiscale analysis.

Xuesong Yu1, Timothy W Randolph, Hua Tang

  • 1Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. xyu@fhcrc.org

Biometrics
|October 13, 2009
PubMed
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This study introduces a new nonparametric method to detect copy-number variations in genetic data. The approach identifies significant genomic instability regions, crucial for understanding genetic diseases.

Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical genomics

Background:

  • Genomic instability, including copy-number alterations, is implicated in numerous genetic diseases.
  • Advancements in technology allow for high-throughput measurement of copy numbers across thousands of genomic markers.

Purpose of the Study:

  • To propose a novel nonparametric statistical method for identifying copy-number change points in genomic data.
  • To develop a significance measure for detected change points, controlling for multiple testing.

Main Methods:

  • A nonparametric test is employed, focusing on scale-based changes in copy-number sequences ordered by chromosomal marker location.
  • A step-down maxT permutation algorithm is utilized to estimate the null distribution and compute adjusted p-values for change point significance.

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Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Related Experiment Videos

Last Updated: Jun 19, 2026

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

  • The method's performance is evaluated through simulations and compared against a standard sequential testing approach.

    • Main Results:

    • The proposed method effectively detects locations of copy-number changes.
    • Adjusted p-values provide a reliable measure of significance for identified change points.
    • Simulation studies demonstrate the method's robust finite sample performance.

    Conclusions:

    • The developed nonparametric approach offers a powerful tool for analyzing genomic instability and copy-number variations.
    • This method aids in pinpointing critical genomic regions associated with genetic diseases.
    • The approach is validated through real-world data applications.