Evidence map›Paper›PMID 40348118›Full record

ArticleAmerican journal of obstetrics and gynecology2025

Genetic diseases underlying a spectrum of fetal effusions.

Natalie B Gulrajani, Billie R Lianoglou, Katie Tick, Nuriye N Sahin-Hodoglugil, Ugur Hodoglugil, Patrick Devine, Jessica Van Ziffle, Mary E Norton, Teresa N Sparks

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  6. The role of reanalyses in genomic sequencing for fetal effusions.American journal of obstetrics and gynecology · 2026
    Article
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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

9 authors.

Natalie B GulrajaniSchool of Medicine, University of California, San Francisco, CA.
Billie R LianoglouCenter for Maternal-Fetal Precision Medicine, University of California San Francisco, San Francisco, CA; Department of Surgery, University of California San Francisco, San Francisco, CA.
Katie TickDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA.
Nuriye N Sahin-HodoglugilDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA.
Ugur HodoglugilGenomic Medicine Laboratory, University of California, San Francisco, CA.
Patrick DevineGenomic Medicine Laboratory, University of California, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, CA.
Jessica Van ZiffleGenomic Medicine Laboratory, University of California, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, CA.
Mary E NortonCenter for Maternal-Fetal Precision Medicine, University of California San Francisco, San Francisco, CA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, CA.
Teresa N SparksCenter for Maternal-Fetal Precision Medicine, University of California San Francisco, San Francisco, CA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, CA. Electronic address: teresa.sparks@ucsf.edu.

Funding

Sharing Aggregate Genomics Research Findings with Diverse Participants: A Pilot Study of an Innovative Design StrategyU01HG009599 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOENIG, BARBARA A., KWOK, PUI-YAN · 2017 to 2021
$16.3M
WOMEN'S REPRODUCTIVE HEALTH RESEARCH CENTERK12HD001262 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Andrea Vashti Jackson · 1998 to 2026
$9.3M
NHGRI NIH HHS U01 HG009599NICHD NIH HHS K12 HD001262
6 · The paper itself

Abstract

objectivesNonimmune hydrops fetalis is well understood to be heterogenous and the common endpoint of many genetic diseases. However, less is known about the prevalence and presenting features of genetic diseases that underlie other types of fetal effusions such as single effusions, leaving uncertainty in clinical practice about optimal approaches to testing and counseling for these pregnancies. We aimed to determine the diagnostic yield of exome sequencing by type of fetal effusion and presence of concurrent structural abnormalities and to identify the unique presenting features of underlying genetic diseases. STUDY

designWe conducted a prospective cohort study of pregnancies with nonimmune hydrops fetalis and other fetal effusions, with participants enrolled from across the United States. Inclusion criteria were nondiagnostic results of chromosomal microarray and/or karyotype and the presence of at least 1 fetal effusion, including nuchal translucency ≥3.5 mm, cystic hygroma, pleural effusion, pericardial effusion, ascites, and/or skin edema. Exome sequencing was performed by our institution's Clinical Laboratory Improvement Amendments-approved laboratory and results were returned to participants and their providers. Detailed fetal phenotypic data were ascertained and used to inform genetic variant interpretation, including fetal imaging findings (ultrasound, magnetic resonance imaging, and echocardiogram), pathology reports, and laboratory reports. Pregnancies with a variant or variants classified as pathogenic or likely pathogenic were considered diagnostic or positive. The primary outcome was the diagnostic yield of exome sequencing by the type of fetal effusion, with and without concurrent structural abnormalities. Secondary outcomes were the types of fetal effusions observed by category of genetic disease.

resultsIn all, 118 pregnancies with nonimmune hydrops fetalis and other effusions underwent exome sequencing and 23% (27/118) had positive (diagnostic) findings. Pregnancies with nonimmune hydrops fetalis with and without concurrent structural abnormalities had diagnostic yields of 21% (9/42) and 40% (6/15), respectively (P=.15). Single effusions such as pleural effusion with and without concurrent structural abnormalities had diagnostic yields of 23% (6/26) and 17% (1/6), respectively (P=.61). The diagnostic yield for increased nuchal translucency or cystic hygroma was significantly greater for pregnancies with concurrent structural abnormalities (42%, 5/12) compared to those without (0%, 0/17, P<.01). We further observed numerous patterns in terms of how genetic diseases present in utero, such as RASopathies and musculoskeletal disorders demonstrating all types of effusions, while other disorders marked by neurodevelopmental delays after birth demonstrated all types of effusions except for nonimmune hydrops fetalis.

conclusionThe diagnostic yield of exome sequencing was high across all types of effusions including single effusions with and without concurrent structural abnormalities, with the exception of isolated increased nuchal translucency or cystic hygroma. Furthermore, we observed numerous patterns in terms of how genetic diseases present in utero with fetal effusions. These findings contribute important information for counseling and clinical management, highlight the utility of exome sequencing for fetal effusions beyond nonimmune hydrops fetalis, and inform accurate results of phenotype-driven tests such as exome sequencing.

Indexed as

Genetic Diseases, InbornHydrops FetalisAdultAscitesEdemaExome SequencingFemaleHumansLymphangioma, CysticNuchal Translucency MeasurementPericardial EffusionPleural EffusionPregnancyProspective StudiesUltrasonography, Prenatalexome sequencingfetal phenotypegenetic testingnonimmune hydrops fetalisprenatal diagnosissingle-gene disorders

Identifiers

PMID40348118
PMCPMC12370382

What Socratic holds

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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 Socratic graph.