Fetal sex identification in maternal plasma by means of short tandem repeats on chromosome x

Ann N Y Acad Sci. 2008 Aug:1137:148-56. doi: 10.1196/annals.1448.038.

Abstract

Analysis of fetal DNA in maternal plasma has recently been introduced as a new method for noninvasive prenatal diagnosis. In the majority of cases, the Y chromosome-specific sequences are commonly used as a fetus-specific marker with a high risk of false-negative cases. We attempted to develop a sensitive and reliable X chromosome short tandem repeat (STR) multiplex PCR amplification system that is suitable for the amplification of short-sized templates of free fetal DNA. Because of specific characteristics of fetal DNA in maternal plasma, cell-free fetal DNA is smaller than corresponding maternal DNA, and so we selected 10 X-STR loci in which the allele size was 250 bp. In addition, fetal sex was also investigated using the amelogenin gene in the same multiplex assay. Twenty-six women were enrolled in the study. Eight of 26 total fetuses analyzed were male and 18 were female. In the whole sample, X-STRs were informative with a mean of 4.84 +/- 1.43. A mean of 2.67 +/- 1.28 X-STR markers per sample (range 1-5) of paternally inherited fetal alleles were detected in pregnant women carrying a female fetus. In all cases, blind determination of fetal sex by means of the identification of amelogenin and X-STR markers was confirmed by fetal karyotyping. This study showed that this noninvasive technique is a reliable and accurate tool to investigate free fetal DNA in pregnancies within the first trimester and could be widely used in clinical research and diagnosis.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Chromosomes, Human, X / genetics*
  • Female
  • Fetus / physiology*
  • Genetic Markers
  • Genotype
  • Humans
  • Male
  • Microsatellite Repeats / genetics*
  • Pregnancy
  • Prenatal Diagnosis / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sex Determination Analysis / methods*

Substances

  • Genetic Markers