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Male infertility: establishing sperm aneuploidy thresholds in the laboratory

  • Elena García-MengualEmail author
  • Juan Carlos Triviño
  • Alba Sáez-Cuevas
  • Juan Bataller
  • Miguel Ruíz-Jorro
  • Xavier Vendrell
Review
  • 46 Downloads

Abstract

Purpose

Fluorescence in situ hybridization (FISH) in spermatozoa provides an estimate of the frequency of chromosomal abnormalities, but there is not a clinical consensus on how to statistically analyze sperm FISH results. We therefore propose a statistical approach to establish sperm aneuploidy thresholds in a fertile population.

Methods

We have determined the distribution and variation of the frequency of nullisomy, disomy, and diploidy for a set of 13 chromosomes (1, 2, 9, 13, 15, 16, 17, 18, 19, 21, 22, X, and Y) in sperm nuclei from 14 fertile men by means of automatized FISH. The dispersion of data has been analyzed by the non-parametric Wilcoxon Rank Sum test. We have established the threshold values for each chromosome and aneuploidy type on the basis of the confidence interval values (99.9%).

Results

Nullisomy thresholds ranged from 0.49% for chromosome 19 to 3.09% for chromosome 22; disomy thresholds ranged from 0.30% for chromosome 21 to 1.47% for chromosome 15; diploidy thresholds ranged from 0.24% for the 9/19 chromosome set to 1.21% for the 13/21 chromosome set.

Conclusions

Applying this approach with clinical purposes will enable us to categorize the patient as altered or normal regarding his sperm aneuploidy. Any result surpassing the cited threshold values indicates a 99.9% probability of being significantly different from fertile controls.

Keywords

Human sperm aneuploidy Fertile donors Automatized analysis Fluorescence in situ hybridization (FISH) Aneuploidy thresholds Nullisomy Disomy Diploidy 

Notes

Compliance with ethical standards

An informed consent was signed by all the donors participating in this study. The study was approved by the Institutional Research Ethics Committee.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Reproductive Genetics UnitSistemas Genómicos S.LPaternaSpain
  2. 2.Bioinformatics DepartmentSistemas Genómicos S.LPaternaSpain
  3. 3.CREA, Assisted Reproduction Medical CenterValenciaSpain

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