ArticleFrontiers in reproductive health2026
Prevalence of chromosomal abnormalities and polymorphisms in 4,672 infertile patients undergoing assisted reproductive techniques in the United Arab Emirates population.
Article in Frontiers in reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Chromosomal abnormalities (CA) are a key genetic contributor to infertility, particularly in regions with high consanguinity. Despite growing utilization of assisted reproductive techniques (ART) in the Gulf region, large-scale cytogenetic data remain scarce. This study aimed to determine the prevalence and distribution of CA and chromosomal polymorphisms (CP) among infertile patients undergoing ART in the United Arab Emirates (UAE), providing region-specific evidence to support diagnostic decision-making and genetic counseling. Methods: A retrospective cohort analysis was performed on 4,672 infertile patients (2,193 males and 2,479 females) who underwent conventional G-banded karyotyping between 2016 and 2024 at Al Ain Fertility Center. Semen parameters for all male participants were evaluated according to World Health Organization (WHO) standards. Cytogenetic findings were categorized into numerical abnormalities, structural abnormalities, and CP. Data were stratified by gender, infertility type, semen phenotype, and marital consanguinity (couple-level). Results: A total of 305 patients (6.5%) showed CA or CP. The prevalence of abnormalities was higher in males, with sex-chromosome aneuploidies and autosomal structural rearrangements more frequently observed among azoospermic and severely oligozoospermic men. Consanguinity (marital relatedness) was descriptively compared across couple-level karyotype groups. The proportion of consanguineous couples was 39% (644/1,639) in the normal karyotype group, 34.6% (8/24) among couples with CA, and 45.1% (40/88) among couples with CP, with no statistically significant differences between groups. These findings reinforce the diagnostic value of karyotyping, particularly in males with severe sperm abnormalities. Discussion/conclusion: This study represents the largest cytogenetic dataset on infertile patients in the UAE and the wider Gulf region, offering population-specific insights into chromosomal determinants of infertility. Routine karyotyping especially for azoospermic men remains essential for accurate diagnosis, informed counseling, and optimized ART planning. These findings provide UAE-specific prevalence data and support risk-stratified counseling; however, the consanguinity analysis reflects marital consanguinity within couples and does not assess parental consanguinity or causality.
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.