Integration of targeted sequencing and pseudo-tetraploid genotyping into clinically assisted decision support for β-thalassemia invasive prenatal diagnosis

PLoS One. 2023 Apr 4;18(4):e0283668. doi: 10.1371/journal.pone.0283668. eCollection 2023.

Abstract

Background: The high prevalence of β-thalassemia indicates the severe medical burden in Guangxi province in China. Millions of thousands of prenatal women with healthy or thalassemia-carrying fetuses received an unnecessary prenatal diagnosis. We designed a prospective single-center proof-of-concept study to evaluate the utility of a noninvasive prenatal screening method in the stratification of beta-thalassemia patients before invasive procedures.

Methods: Next-generation and optimized pseudo-tetraploid genotyping-based methods were utilized in preceding invasive diagnosis stratification to predict the mater-fetus genotype combinations in cell-free DNA, which is from maternal peripheral blood. Populational linkage disequilibrium information with additional neighboring loci to infer the possible fetal genotype. The concordance of the pseudo-tetraploid genotyping with the gold standard invasive molecular diagnosis was used to evaluate the effectiveness of this method.

Results: 127 β-thalassemia carrier parents were consecutively recruited. The total genotype concordance rate is 95.71%. The Kappa value was 0.8248 for genotype combinations and 0.9118 for individual alleles.

Conclusion: This study offers a new approach to picking out the health or carrier fetus before invasive procedures. It provides valuable novel insight into patient stratification management on β-thalassemia prenatal diagnosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Female
  • Genotype
  • Humans
  • Pregnancy
  • Prenatal Diagnosis / methods
  • Prospective Studies
  • Tetraploidy
  • beta-Thalassemia* / diagnosis
  • beta-Thalassemia* / epidemiology
  • beta-Thalassemia* / genetics

Grants and funding

This study was funded by National Nature Science Foundation of China (81960574, 82060578) and the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (2019PT310012).