Evidence map›Paper›PMID 42324655›Full record

ReviewPrenatal diagnosis2026

Enhancing Prenatal Genetic Evaluation Through the Combination of Single-Gene Non-Invasive Prenatal Screening and Prenatal Imaging.

Sarah Araji, Jennifer L Cohen

Abstract readReview
In one paragraph

Review in Prenatal diagnosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sarah ArajiDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
Jennifer L CohenDepartment of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-0385-1025

Funding

Developing strategies to identify candidate individuals for early genetic therapiesK23HD113824 · NICHD · DUKE UNIVERSITY · PI Jennifer L Cohen · 2024 to 2026
$460k
NICHD NIH HHS K23 HD113824NIH HHS K23HD113824
6 · The paper itself

Abstract

Cell free DNA (cfDNA) screening for common aneuploidies is now widely integrated into prenatal care, and recent advances in next-generation sequencing, enhanced by unique molecular indexing methodology, have enabled cfDNA for selected single-gene disorders (cfDNA-SGD). Commercially available cfDNA-SGD panels target predominantly either de novo autosomal dominant or X-linked conditions that have recognizable prenatal or neonatal phenotypes. However, it remains a screening modality that relies on placental cell-free DNA, and encounters limitations. In this review, we summarize a currently available cfDNA-SGD panel that screens for 25 autosomal or X-linked dominant conditions corresponding to 30 unique genes, with several genes contributing to multiple conditions on the panel. We highlight the potentially associated prenatal and postnatal phenotypes and the imaging modalities that may help refine a prenatal genetic evaluation. We also discuss how ultrasound, fetal echocardiography, and fetal MRI across all trimesters can refine the prenatal differential diagnosis and help contextualize cfDNA-SGD results, while emphasizing that imaging findings remain the primary guide for management and that confirmatory diagnostic testing is required before clinical decisions and action.

Indexed as

Genetic TestingNoninvasive Prenatal TestingPrenatal DiagnosisCell-Free Nucleic AcidsFemaleHumansMagnetic Resonance ImagingPregnancyUltrasonography, PrenatalCell-Free Nucleic Acids

Identifiers

PMID42324655
PMCPMC13378740

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.