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Purpose: Recent studies have identified suggestive prenatal features of RASopathies (e.g., increased nuchal translucency [NT], cystic hygroma [CH], hydrops, effusions, congenital heart diseases [CHD], polyhydramnios, renal anomalies). Our objective is to clarify indications for RASopathy prenatal testing. We compare genotype distributions between pre- and postnatal populations and propose genotype-phenotype correlations.
Methods: Three hundred fifty-two chromosomal microarray-negative cases sent for prenatal RASopathy testing between 2012 and 2019 were collected. For most, 11 RASopathy genes were tested. Postnatal cohorts (25 patients with available prenatal information and 108 institutional database genotypes) and the NSeuroNet database were used for genotypic comparisons.
Results: The overall diagnostic yield was 14% (50/352), with rates >20% for effusions, hydrops, and CHD. Diagnostic yield was significantly improved in presence of hypertrophic cardiomyopathy (HCM), persistent or associated CH, any suggestive finding combined with renal anomaly or polyhydramnios, or ≥2 ultrasound findings. Largest prenatal contributors of pathogenic variants were PTPN11 (30%), RIT1 (16%), RAF1 (14%), and HRAS (12%), which considerably differ from their prevalence in postnatal populations. HRAS, LZTR1, and RAF1 variants correlated with hydrops/effusions, and RIT1 with prenatal onset HCM.
Conclusion: After normal chromosomal microarray, RASopathies should be considered when any ultrasound finding of lymphatic dysplasia or suggestive CHD is found alone or in association.
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http://dx.doi.org/10.1038/s41436-020-01093-7 | DOI Listing |
Environ Int
August 2025
Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC, USA; Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC, USA. Electr
Background: Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) may adversely impact child neurodevelopment; however, epidemiologic findings remain inconclusive because of small sample sizes, limited exposure variability, and differing neurodevelopmental measures. We aimed to investigate the relationship between prenatal PFAS exposure and child behavior.
Methods: We pooled data from nine study sites in the nationwide Environmental influences on Child Health Outcomes (ECHO) Cohort.
Soc Psychiatry Psychiatr Epidemiol
September 2025
Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Purpose: Understanding the mechanisms through which poverty influences perinatal depression can provide insight into how to develop interventions to improve maternal mental health. To address this question, we aim to estimate indirect effects of important mediators on the causal relationship between food insecurity and symptoms of postnatal depression.
Methods: We used data from the control arm of the Africa Focus on Intervention Research for Mental health - South Africa (AFFIRM-SA) trial that included pregnant women with perinatal depression.
Eur Psychiatry
September 2025
FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Meudicine, University of Turku, Turku, Finland.
BJOG
September 2025
Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Objective: To assess mental health throughout pregnancy among women with a history of diagnosis of fetal anomaly.
Design: Prospective observational study.
Setting: Tertiary referral centre for fetal medicine.
Trop Med Int Health
September 2025
Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.
Background: Ensuring a continuum of care in accessing antenatal to postnatal healthcare services is crucial for improving maternal and child health outcomes. This study aims to explore trends in the continuum of care over the years, both nationally and across regions; to provide district-level estimates; and to examine socio-economic disparities and determinants of continuum of care uptake in Bangladesh.
Methods: A total of 28,260 samples were analysed.