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Estimation of mosaic loss of Y chromosome cell fraction with genotyping arrays lacking coverage in the pseudoautosomal region

  1. Author:
    Zhou,Weiyin
    Huang, Wen-Yi
    Freedman, Neal D
    Machiela, Mitchell
  2. Author Address

    Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA. zhouw@mail.nih.gov., Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA. zhouw@mail.nih.gov.,
    1. Year: 2025
    2. Date: Feb 19
    3. Epub Date: 2025 02 19
  1. Journal: BMC Bioinformatics
    1. 26
    2. 1
    3. Pages: 60
  2. Type of Article: Article
  3. Article Number: 60
  1. Abstract:

    Mosaic loss of the Y chromosome (mLOY) in circulating leukocytes is the most frequently detected age-related chromosomal mosaic event in men. Current mLOY detection approaches use genotyping arrays and employ a phase-based approach that identifies B allele frequency (BAF) deviations in the pseudo-autosomal region (PAR) shared between the X and Y chromosome. As some widely used genotyping arrays lack sufficient probe coverage of the PAR, methods for accurately measuring mLOY utilizing the median log2 R ratio across the male-specific region of Y chromosome (mLRR_Y) are needed for detecting mLOY on these platforms. We derived a formula from mLRR_Y to estimate the cellular fraction (CF) of cells with Y loss and validated the approach, finding high alignment with the CF estimation from female data and lab-generated qPCR data (R2?=?0.98). Additionally, we compared the correlation between phase-based BAF and mLRR_Y methods for CF estimation, achieving a high correlation with R2?>?0.80. Although mLRR_Y is a noisier metric for mosaic chromosomal alteration detection relative to BAF, we demonstrate mLRR_Y across non-PAR variants can accurately estimate mLOY CF, especially for high CF mLOY. © 2025. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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External Sources

  1. DOI: 10.1186/s12859-025-06076-6
  2. PMID: 39972265
  3. PII : 10.1186/s12859-025-06076-6

Library Notes

  1. Fiscal Year: FY2024-2025

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