ArticleArchives of gynecology and obstetrics2025
Clinical application of expanded carrier screening based on next-generation sequencing in the Chinese population.
Article in Archives of gynecology and obstetrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Clinical application of an Asian Screening Array-based preimplantation genetic testing workflow for various genetic disorders.Orphanet journal of rare diseases · 2026Article
- Citywide premarital genomic screening in a Middle Eastern population.Nature medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveExpanded carrier screening (ECS) enables proactive identification of at-risk couples (ARCs) and individuals, facilitating informed reproductive decision-making through genetic counseling. This study evaluates the clinical utility of ECS among the population in Anhui Province, China, where its implementation remains understudied. Retrospectively analysis of genetic testing results assessed the carrier frequencies for targeted diseases, identified prevalent pathogenic genes and variants, and ARCs detection rate alongside associated reproductive choices and pregnancy outcomes.
methodsIn this single-center retrospective study (June 2020-October 2023), 2,530 reproductive-aged individuals (486 couples; 1,558 individuals) underwent next-generation sequencing (NGS)-based ECS using a customized panel targeting 152 recessive monogenic disorders. Carrier rates, pathogenic variants, ARC detection, and subsequent reproductive outcomes were analyzed.
resultsOverall, 38.50% (974/2,530) of participants carried ≥ 1 pathogenic/likely pathogenic (P/LP) variant. The most prevalent autosomal recessive (AR) disorders included DFNB4 (3.08%), DFNB1A (2.81%), Wilson disease (2.57%), Krabbe disease (2.37%), and phenylketonuria (2.13%). Duchenne muscular dystrophy (DMD, 0.28%) was the most common X-linked (XL) disorder. Twenty ARCs (4.12%, 20/486) were identified, including sixteen pregnant couples. Among these, 56.25% (9/16) opted for invasive prenatal diagnosis, confirming eight unaffected fetuses with healthy live births and one twin pregnancy requiring selective termination of an affected fetus. Five pregnant ARCs declined prenatal diagnosis, four of whom delivered healthy infants, while one pregnancy was terminated due to structural anomalies. Of three non-pregnant ARCs, two pursued preimplantation genetic testing for monogenic disorders (PGT-M), resulting in one healthy birth.
conclusionOur study demonstrated that the ECS for reproductive-age individuals can identify couples and individuals at risk of conceiving a child with a recessive genetic disorder and support reproductive choices through the provision of genetic counseling to reduce the likelihood of offspring with congenital anomalies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.