A Systematic Review and Meta-analysis of Cell-Free DNA Testing for Detection of Fetal Sex Chromosome Aneuploidy

ABSTRACT Noninvasive prenatal screening has become a valuable tool in detecting a variety of disorders and abnormalities, including sex chromosome aneuploidies (SCAs). The test uses cell-free DNA (cfDNA) analysis to identify risk for chromosomal abnormalities, which can then be more fully investigated using other tests. Much of previous research focused on cfDNA has assessed autosomal aneuploidies, but few studies have specifically focused on SCAs. The aim of this systematic review and meta-analysis was to assess the accuracy of cfDNA testing in identifying SCAs in singleton pregnancies. Studies were identified by keywords associated with cfDNA, SCA, and noninvasive prenatal testing, and studies were included based on relevance. Inclusion criteria were limited to singleton pregnancies that underwent cfDNA testing with confirmation by diagnostic genetic testing between January 1, 2010 and December 1, 2021. A total of 21 articles were selected for the final meta-analysis. All included studies reported results for monosomy X (45,X), representing nearly 13,000 tests with 254 confirmed positive results, 133 false-positives, and 18 false-negatives. Estimated sensitivity based on this sample was 98.8%, with specificity of 99.4%. Positive and negative predictive values were 14.5% and 100%, respectively. Of the 21 included studies, 16 also reported results for Klinefelter syndrome (47,XXY), representing just over 11,000 tests with 62 confirmed positive results, 10 false-positives, and 11 false-negatives. Estimated sensitivity was 100% and specificity was 100%, with positive predictive value of 97.7% and negative predictive value of 100%. Thirteen of 21 studies included reported results for triple X syndrome (47,XXX), representing roughly 10,000 tests with 38 confirmed positive results, 18 false-positives, and 1 false-negative. This showed an estimated sensitivity of 100% and specificity of 99.9%, with positive predictive value of 61.6% and negative predictive value of 100%. Finally, 9 of the studies included in this meta-analysis reported results for Jacobs syndrome (47,XYY), representing approximately 8500 tests with 22 confirmed positive results, 2 false-positives, and no false-negatives. This led to an estimated sensitivity and specificity of 100%, with positive and negative predictive values also 100%. These results provide evidence that cfDNA testing is effective in identification of SCAs in pregnancies at high risk. This particular population limits the generalizability of the findings but adds to the literature surrounding the effectiveness and accuracy of this method. The analysis used strict criteria to define the studies that were included, yet still included a large sample of tests (12,000), which adds to the statistical and practical significance of the analysis. Generalizing the findings of this study is difficult based on both the fact that the sample did not include low-risk individuals and that positive predictive values varied greatly with prevalence, impacting clinical significance. Overall, cfDNA testing for SCAs has both high sensitivity and specificity, along with a high negative predictive value of 99.99% or above for each SCA examined. Further research is needed to confirm these findings and extend knowledge to a more diverse population.