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Meta-Analysis
. 2024 Nov 5;19(11):e0308008.
doi: 10.1371/journal.pone.0308008. eCollection 2024.

Genome-Wide, Non-Invasive Prenatal Testing for rare chromosomal abnormalities: A systematic review and meta-analysis of diagnostic test accuracy

Affiliations
Meta-Analysis

Genome-Wide, Non-Invasive Prenatal Testing for rare chromosomal abnormalities: A systematic review and meta-analysis of diagnostic test accuracy

Marton Konya et al. PLoS One. .

Abstract

Genome-Wide Non-Invasive Prenatal Testing (GW-NIPT) can provide positive results not only for common autosomal aneuploidies but also for rare autosomal trisomies (RATs) and structural chromosomal abnormalities (StrCAs). Due to their rarity, there is currently insufficient information on positive predictive value PPV of RAT and StrCA-positive cases in the literature. In this study, the screening accuracy and pregnancy outcomes of cases positive for rare chromosomal abnormalities were examined based on publications in which GW-NIPT testing was performed. True positive cases were determined using two different methodologies. One was a confirmed methodology, where only cases validated by genetic testing were considered true positives with a definite diagnosis, and the other was an extended methodology, where, in addition to cases confirmed by genetic testing, intrauterine fetal death and termination of pregnancy due to an abnormality confirmed by ultrasound examination were also considered true positives, where no diagnosis had been made but the fetus was probably affected. Seventeen studies were analyzed, with a total GW-NIPT population of 740,076. Of these, 1,738 were RAT positive. Using the confirmed method, we found the highest rates of true positives in T16, followed by T22, and T2, using the extended method, the highest rate of true positives in T15, T16 and T22. This is the first meta-analysis to determine the frequency of rare chromosomal abnormalities, test-positive rates, and the PPV of each chromosomal abnormality with high precision. Our results could aid pre- and post-test genetic counselling and help patients and clinicians in their decision-making.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. PRISMA 2020 flowchart representing the study selection process.
Fig 2
Fig 2. Forest plots representing the diagnostic test accuracy of rare trisomies.
A: Forest plot representing the pooled frequency of GW-NIPT positive results for all rare autosomal trisomies (RATs), B: Forest plot representing the PPV with a confirmed method for all RATs, C: Forest plot representing the PPV with an extended method for all RATs, D: Forest plot representing the pooled false positive RAT rate, (Abbreviations: NIPT: non-invasive prenatal test, ALL_RAA: all rare autosomal aneuploidies, Tp: true positive cases, Up: Ultrasound positive cases, Mc: Miscarriage, NA: not available).
Fig 3
Fig 3. Forest plots representing the diagnostic test accuracy of StrCAs.
A: Forest plot representing the pooled frequency of GW-NIPT positive results for StrCAs, B: Forest plot representing the PPV with a confirmed method for StrCAs, C: Forest plot representing the PPV with an extended method for StrCAs, (Abbreviations: NIPT: non-invasive prenatal test, Tp: true positive cases, Up: Ultrasound positive cases, Mc: Miscarriage, NA: not available).
Fig 4
Fig 4. Column plot for visualization of the habitat of each chromosome.
A: Column plot representing the pooled frequency of GW-NIPT positive results for all rare autosomal trisomies (RATs), B: Column plot representing the PPV with a confirmed method for all RATs, C: Column plot representing the PPV with an extended method for all RATs, D: Column plot representing the pooled true positive RAT rate, E: Column plot representing the pooled true positive RAT rate. (Abbreviations: NIPT: non-invasive prenatal test, TP: true positive cases, PPV: positive predictive value.

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