Awareness of consanguineous marriage burden and willingness towards premarital genetic testing in Sudan: a national cross-sectional study.

Background: Despite the widespread practice of consanguinity in Sudan, there is a lack of exploration into the community's awareness of its health implications on offspring and their overall attitude towards consanguineous unions. Aim: This study aimed to evaluate the community's awareness of the possible health adversities of consanguinity on children and assess the effect of knowledge level on the prevailing attitude towards this practice in Sudan. Methods: From August to December 2018, data were collected from adults aged 18 years and above in five provinces of Sudan regardless of their marital status. The analysis involved both descriptive and multivariate statistical techniques. Results: This study revealed a consanguinity rate of 30.2%. Despite a high awareness level (73.7%) regarding the effects of consanguineous marriage on the health of the offspring, a moderately negative attitude towards this practice (63.9%) was observed. Conclusion: The discordance between the high consanguinity rate in the Sudanese population and the moderately negative attitude suggests a potential persistence of this practice in the future. Without the implementation of educational programs and the provision of genetic counselling services to consanguineous couples, the prevalence of consanguinity is likely to endure.

Self-reported awareness of genetic testing, the impact of family history, and access to clinical trials for people diagnosed with ovarian cancer in Australia.

Objectives: To assess the understanding of people diagnosed with ovarian cancer regarding genetic testing; to understand knowledge gaps among people diagnosed with ovarian cancer that may impact best practice care; and to monitor overall changes in understanding from 2015 to 2022. Design: Longitudinal 'opt-in' study using an online survey tool at three timepoints: 2015, 2018 and 2022. Participants: People in Australia (or their families / caregivers) diagnosed with ovarian cancer between 2010 and 2022). Main outcome measures: Self-reported awareness of heritable risk factors for ovarian cancer, genetic testing approaches and participation in clinical trials. Results: The study indicated that there have been improvements in the understanding and awareness of people diagnosed with ovarian cancer regarding familial risk (an increase from 43.6% (45 of 149) in 2015 to 62.9% (166 of 264) in 2022); but people were less likely to be aware of the difference between somatic (tumour) and germline testing (120 of 266, 45.1%). However, there were self-reported improvements to clinical trial access in non-metropolitan areas (12 of 64, 18.8% in 2022 compared to 22 of 145, 15.2% in 2018), bringing it on par with metropolitan areas (32 of 169, 18.9% in 2022). Conclusions: Despite improved awareness about genetic testing among people diagnosed with ovarian cancer, there remain knowledge gaps in understanding of genetic testing types (germline and somatic) and gene variant targeted therapies; and further work to improve clinical trial awareness and access is required.

Assessing interventions promoting the uptake of cancer-related genomic services within the Latino community: A scoping review using the RE-AIM framework.

Cancer genomic services (CGS) can support genetic risk-stratified cancer prevention and treatment. Racial/ethnic minority groups are less likely to access and utilize CGS compared with non-Hispanic Whites. Little research has described characteristics of interventions targeted at CGS among Latinos. This scoping review aimed to (1) describe interventions promoting uptake of CGS among Latinos in the United States and Latin America, (2) describe intervention adaptations for Latino participants, and (3) summarize intervention implementation factors suggested by reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework. We conducted a search in English and Spanish of literature published between 2005 and 2022 across PubMed and Latin American and Caribbean Health Sciences Literature databases. Sixteen of 2344 papers met the inclusion criteria of the analysis. Efforts to promote CGS among Latino communities were limited in the US and lower in Latin America. This review highlights the need for in-depth exploration of acculturation-informed interventions and better reporting on implementation factors to enhance their scalability across diverse settings.

Mothers' reflections on the diagnosis and birth of their child with Down syndrome: Variability based on the timing of the diagnosis.

Previous research has examined parents' reflections on their child's Down syndrome diagnosis based on whether the diagnosis was provided prenatally or after birth, revealing few significant differences; by comparison, few studies have examined parents' reflections on the birth of the child in relation to the timing of the diagnosis. This study was conducted to examine whether mothers differentially reported on and rated the diagnosis, birth, and most recent birthday of their child with DS based on when the diagnosis was provided. Forty-four American mothers of children with DS discussed the birth of their child, when they learned of their child's DS diagnosis, and their child's most recent birthday with a researcher. Participants also completed online questionnaires on which they rated the events and indicated how they felt about the events at the time of their occurrence and at the time of the study. The results revealed that participants who received a prenatal diagnosis of DS for their child reflected differently-and seemingly more positively-on their child's birth relative to participants who received a postnatal diagnosis. These differences were evident when considering participant ratings, emotion language used when discussing the events, and feeling states characterizing how participants felt about the events at the time of their occurrence and at the time of the study. Given these group differences, medical professionals should carefully consider the conditions under which they provide mothers with diagnostic information and support services after a child is born.

The yield of genetic workup for middle-aged and elderly patients with neurological disorders in a real-world setting.

Genetic workup is becoming increasingly common in the clinical assessment of neurological disorders. We evaluated its yield among middle-aged and elderly neurological patients, in a real-world context. This retrospective study included 368 consecutive Israeli patients aged 50 years and older (202 [54.9%] males), who were referred to a single neurogenetics clinic between 2017 and mid-2023. All had neurological disorders, without a previous molecular diagnosis. Demographic, clinical and genetic data were collected from medical records. The mean age at first genetic counseling at the clinic was 62.3 ± 7.8 years (range 50-85 years), and the main indications for referral were neuromuscular, movement and cerebrovascular disorders, as well as cognitive impairment and dementia. Out of the 368 patients, 245 (66.6%) underwent genetic testing that included exome sequencing (ES), analysis of nucleotide repeat expansions, detection of specific mutations, targeted gene panel sequencing or chromosomal microarray analysis. Overall, 80 patients (21.7%) received a molecular diagnosis due to 36 conditions, accounting for 32.7% of the patients who performed genetic testing. The diagnostic rates were highest for neuromuscular (58/186 patients [31.2%] in this group, 39.2% of 148 tested individuals) and movement disorders (14/79 [17.7%] patients, 29.2% of 48 tested), but lower for other disorders. Testing of nucleotide repeat expansions and ES provided a diagnosis to 28/73 (38.4%) and 19/132 (14.4%) individuals, respectively. Based on our findings, genetic workup and testing are useful in the diagnostic process of neurological patients aged ≥50 years, in particular for those with neuromuscular and movement disorders.

Formation of the first plane of division relative to the pronuclear axis predicts embryonic ploidy.

RESEARCH QUESTION: Is there a relationship between the pronuclear axis and the first cleavage plane formation in human pronuclear-stage embryos, and what are the effects on ploidy and clinical pregnancy rates? DESIGN: Transferred embryos were followed up until their prognoses. A total of 762 embryos formed two cells and reached the blastocyst stage after normal fertilization in a time-lapse incubator. Embryos were classified into three groups: group A: embryos in which the first plane of division was formed parallel to the axis of the pronucleus; group B: embryos in which cases of oblique formation were observed; and group C: embryos in which cases of perpendicular formation were observed. RESULTS: The euploidy rate was significantly higher in groups A and B than those in group C (P < 0.01), whereas the aneuploidy rate was significantly higher in group C (P < 0.01) than in groups A and B. No differences were found between the three groups in frequency of positive HCG-based pregnancy tests, frequency of clinical pregnancies, miscarriage rates or delivery rates. CONCLUSIONS: The formation pattern of the first plane of division relative to the pronuclear axis was a predictor of embryonic ploidy, with a reduced rate of euploidy and a high probability of aneuploidy observed when the first plane of division was perpendicular to the pronuclear axis.

Clinical and genetic characteristics of congenital hyperinsulinism in Norway: A nationwide cohort study.

PURPOSE: Congenital hyperinsulinism (CHI) is a rare, monogenic disease characterized by excessive insulin secretion. We aimed to evaluate all probands with suspected CHI in Norway registered over the past two decades. METHODS: The study included 98 probands. Clinical data were cumulated from medical records. All probands were screened for variants in the genes ABCC8 and KCNJ11. Other CHI-related genes were Sanger-sequenced as indicated by the patients' phenotype (N=75) or analyzed by next-generation sequencing employing a panel of 30 CHI-related genes (N=23). RESULTS: Twenty-one probands (21%) received a diagnosis other than CHI, the most common being idiopathic ketotic hypoglycemia (9%) or syndromic hyperinsulinism (4%). In the final cohort of 77 CHI probands, genetic findings were revealed in 46 (60%). ABCC8 variants were most common (N=40) and five novel variants were identified. One proband harbored both the pathogenic GCK variant p.(Ala456Val) and the ABCC8 variant p.(Gly505Cys). Although most ABCC8 variants caused immediate disease onset with severe hypoglycemia and were diazoxide-unresponsive, eight probands had a heterozygous, apparently dominant variant with milder phenotype. Two probands had pathogenic variants in GLUD1, whereas variants in HADH, HNF4A, KCNJ11, and HK1 were identified in one proband each, the latter being non-coding. Neurologic sequelae were reported in 53% of the CHI probands. Of non-surgically treated probands, 43% had spontaneous resolution. The minimum birth prevalence of CHI in Norway is 1:19,400 live births. MAIN CONCLUSIONS: Individuals with disease-causing ABCC8 variants dominated our cohort. Patients with known genetic etiology had earlier and more severe disease-onset than genetically unsolved patients.

Current status and future of genomics in fetal and maternal medicine: A scientific review commissioned by European Board and College of Obstetrics and Gynaecology (EBCOG).

This EBCOG guidance reviews the current and future status of genomics within fetal and maternal medicine. This document addresses the clinical uses of genetic testing in both screening and diagnostic testing prenatally. The role of genomics within fetal and maternal medicine is described. The research and future implications of genetic testing as well as the educational, ethical and economic implications of genomics are discussed.

Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.

PURPOSE: To determine if an explainable artificial intelligence (XAI) model enhances the accuracy and transparency of predicting embryo ploidy status based on embryonic characteristics and clinical data. METHODS: This retrospective study utilized a dataset of 1908 blastocyst embryos. The dataset includes ploidy status, morphokinetic features, morphology grades, and 11 clinical variables. Six machine learning (ML) models including Random Forest (RF), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Support Vector Machine (SVM), AdaBoost (ADA), and Light Gradient-Boosting Machine (LGBM) were trained to predict ploidy status probabilities across three distinct datasets: high-grade embryos (HGE, n = 1107), low-grade embryos (LGE, n = 364), and all-grade embryos (AGE, n = 1471). The model's performance was interpreted using XAI, including SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) techniques. RESULTS: The mean maternal age was 38.5 ± 3.85 years. The Random Forest (RF) model exhibited superior performance compared to the other five ML models, achieving an accuracy of 0.749 and an AUC of 0.808 for AGE. In the external test set, the RF model achieved an accuracy of 0.714 and an AUC of 0.750 (95% CI, 0.702-0.796). SHAP's feature impact analysis highlighted that maternal age, paternal age, time to blastocyst (tB), and day 5 morphology grade significantly impacted the predictive model. In addition, LIME offered specific case-ploidy prediction probabilities, revealing the model's assigned values for each variable within a finite range. CONCLUSION: The model highlights the potential of using XAI algorithms to enhance ploidy prediction, optimize embryo selection as patient-centric consultation, and provides reliability and transparent insights into the decision-making process.

The cost-effectiveness of germline BRCA testing in metastatic prostate cancer followed by cascade testing of first-degree relatives of mutation carriers.

OBJECTIVES: Metastatic prostate cancer (mPCa) patients with BRCA mutations benefit from targeted treatments (e.g., olaparib). Additionally, family members of affected patients have increased risk of hereditary cancers and benefit from early detection and prevention. International guidelines recommend genetic testing in mPCa, however, the value for money of testing mPCa patients and cascade testing of blood-related family members has not been assessed. In this context we evaluated the cost-effectiveness of germline BRCA testing in mPCa patients followed by cascade testing of first-degree relatives (FDRs) of mutation carriers. METHODS: We conducted a cost-utility analysis of germline BRCA testing using two scenarios: 1) testing mPCa patients only; 2) testing mPCa patients and first-degree relatives (FDRs) of those who test positive. A semi-Markov multi-health-state transition model was constructed using a lifetime time horizon. The analyses were performed from an Australian payer perspective. Decision uncertainty was characterized using probabilistic analyses. RESULTS: Compared with no testing, BRCA testing in mPCa was associated with an incremental cost of AU$3,731 and a gain of 0.014 quality-adjusted life years (QALYs), resulting in an incremental cost-effectiveness ratio (ICER) of AU$265,942/QALY. Extending testing to FDRs of variant positive patients resulted in an ICER of AU$16,392/QALY. Probability of cost-effectiveness at a willingness-to-pay of AU$75,000/QALY was 0% in the standalone mPCa analysis and 100% in the cascade testing analysis. CONCLUSION: BRCA testing when performed as a standalone strategy in patients with mPCa may not be cost-effective but demonstrates significant value for money after the inclusion of cascade testing of FDRs of mutation carriers.

Non-invasive preimplantation genetic testing for aneuploidy: is the promise real?

Recent advances in preimplantation genetic testing for aneuploidy (PGT-A) have significantly enhanced its application in ART, providing critical insights into embryo viability, and potentially reducing both the time spent in fertility treatments and the risk of pregnancy loss. With the integration of next-generation sequencing, PGT-A now offers greater diagnostic precision, although challenges related to segmental aneuploidies and mosaicism remain. The emergence of non-invasive PGT-A (niPGT-A), which analyzes DNA in spent embryo culture media, promises a simpler aneuploidy screening method. This mini review assesses the methodological criteria for test validation, the current landscape of PGT-A, and the potential of niPGT-A, while evaluating its advantages and potential pitfalls. It underscores the importance of a robust three-phase validation process to ensure the clinical reliability of PGT-A. Despite initial encouraging data, niPGT-A not only confronts issues of DNA amplification failure and diagnostic inaccuracies but also has yet to meet the three-prong criteria required for appropriate test validation, necessitating further research for its clinical adoption. The review underscores that niPGT-A, like traditional PGT-A, must attain the high standards of precision and reliability expected of any genetic testing platform used in clinical settings before it can be adopted into routine ART protocols.

Predictive modeling for the germline pathogenic variant of the APC gene in patients with adenomatous polyposis: proposing a new APC score.

BACKGROUND: The precise diagnosis and medical management of patients with suspected familial adenomatous polyposis should be based on genetic testing, which may not always be available. Therefore, establishing a new model for predicting the likelihood of a germline pathogenic variant (GPV) of APC based on its clinical manifestations could prove to be useful in clinical practice. METHODS: The presence of GPVs of APC gene was investigated in 162 patients with adenomatous polyposis (≥ 10 polyps) using a multigene panel or single-gene testing. To generate a predictive model for GPV of the APC gene, a logistic regression analysis was performed using the clinicopathological variables available at the time of the diagnosis of adenomatous polyposis. RESULTS: Ninety (55.6%) patients had GPV of the APC gene. According to a multivariate logistic regression analysis, age < 40 years, polyps ≥ 100, fundic gland polyposis, and a family history of colorectal polyposis were found to be independent predictors of the GPV of APC and were used to establish a formula for predicting the GPV of APC using the four predictors. The prediction model had an area under the curve of 0.91 (0.86-0.96) according to a receiver operating characteristic analysis. CONCLUSION: The model for predicting the GPV of APC will help patients with adenomatous polyposis and physicians make decisions about genetic testing.

Potential clinical applications of advanced genomic analysis in cerebral palsy.

Cerebral palsy (CP) has historically been attributed to acquired insults, but emerging research suggests that genetic variations are also important causes of CP. While microarray and whole-exome sequencing based studies have been the primary methods for establishing new CP-gene relationships and providing a genetic etiology for individual patients, the cause of their condition remains unknown for many patients with CP. Recent advancements in genomic technologies offer additional opportunities to uncover variations in human genomes, transcriptomes, and epigenomes that have previously escaped detection. In this review, we outline the use of these state-of-the-art technologies to address the molecular diagnostic challenges experienced by individuals with CP. We also explore the importance of identifying a molecular etiology whenever possible, given the potential for genomic medicine to provide opportunities to treat patients with CP in new and more precise ways.

Case report: successful response to bevacizumab combined with erlotinib for a novel FH gene mutation hereditary leiomyoma and renal cell carcinoma.

FH-deficient Renal Cell Carcinoma (FH-deficient RCC) are inherited tumors caused by mutations in the fumarate hydratase (FH) gene, which plays a role in the tricarboxylic acid cycle. These mutations often result in aggressive forms of renal cell carcinoma (RCC) and other tumors. Here, we present a case of FH-deficient RCC in a 43-year-old woman with a history of uterine fibroids. She exhibited a new heterozygous mutation in exon six of the FH gene (c.799_803del, c.781_796del). The patient had multiple bone metastases and small subcutaneous nodules in various areas such as the shoulders, back, and buttocks. Biopsy of a subcutaneous nodule on the right side revealed positive expression of 2-succinate-cysteine (2SC), and FH staining indicated FH expression deletion. The patient underwent treatment with a combination of erlotinib and bevacizumab, which resulted in significant efficacy with moderate side effects. This treatment combination may be recommended as a standard regimen. This case underscores the importance of genetic testing in patients with advanced renal cancer to enhance diagnostic accuracy. Furthermore, it provides insights into potential treatment approaches for FH-deficient RCC.

Impacts of X-linked Retinitis Pigmentosa and Patient Pathways in European Countries: Results from the Cross-sectional EXPLORE XLRP-1 Physician Survey.

INTRODUCTION: X-linked retinitis pigmentosa (XLRP) is a rare, incurable, vision-threatening, genetic disease. In this study, we aimed to reveal the real-world burden of this disease from the viewpoint of retina specialists and geneticists involved directly in XLRP care and to identify unique insights that may not otherwise be available through typical clinical studies or health economic research. METHODS: In this exploratory, cross-sectional study (EXPLORE XLRP-1), retina specialists (n = 20) and geneticists (n = 5) in France, Germany, Italy, Spain, and the UK provided anonymized insights on their experiences managing patients with XLRP (n = 80) via an online survey and 60-min telephone interview. RESULTS: Survey respondents reported that patient independence decreased over time, where 37% of patients were considered "completely autonomous" at diagnosis versus 23% at the last consultation. At their last visit, 45% of patients were active in the workforce; 67% (12/18) of "completely autonomous" patients had active working status compared with 13% (1/8) of "completely dependent" patients. The average time from onset of symptoms to diagnosis was 4 years and varied among countries. In 78% of patients, XLRP was confirmed by genetic testing, the rate of which varied among countries (range, 50-94%), taking up to 6 months to receive results. Specialists identified unmet needs in XLRP management including more standardized assessments of quality of life (QoL) as well as easier and earlier access to specialists, genetic testing, patient support programs, and effective treatment options. CONCLUSIONS: The diagnosis, genetic testing, and management pathways among patients with XLRP can vary considerably. There is a need for more standardized diagnosis and management pathways, and QoL assessments, due to the major impact that XLRP has on patients' lives.

Effect of freeze-thawing, cell collection, and laser irradiation cycles on mosaicism occurrence in preimplantation genetic testing for aneuploidy.

OBJECTIVE: In preimplantation genetic testing for aneuploidy, opinions regarding the handling of mosaic embryos vary. In this study, we aimed to investigate the effects of freeze-thawing, the number of cells obtained, and the number of laser irradiation cycles on the degree of embryonic mosaicism. STUDY DESIGN: This study was conducted in three parts. First, we classified specimens into the normal biopsy (control) (119 patients, 304 blastocysts) and thawed-biopsy (TB group) (26 patients, 72 blastocysts)) groups. The control and TB groups were then classified into three categories (euploidy, mosaic and aneuploidy) according to next-generation sequencing (NGS) results, and the number of cells collected and laser irradiation cycles were compared for each category. Subsequently, the effects of differences in the number of cells collected and laser irradiation cycles on NGS results were investigated in the control and TB groups. Finally, data on cell collection and laser irradiation cycles and NGS analysis results for the groups were compared. RESULTS: The TB group had a significantly higher incidence of chromosomal mosaicism than the control group. Neither the number of cells collected nor the laser irradiation cycles affected the percentage of chromosomal mosaicism. However, the freeze-thaw process increased the occurrence of mosaicism. CONCLUSIONS: This study showed that repeated freeze-thaw cycles increase the incidence of mosaicism, but the embryos are not aneuploid and are therefore suitable for transfer.

Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment.

Familial hypercholesterolemia (FH) poses a global health challenge due to high incidence rates and underdiagnosis, leading to increased risks of early-onset atherosclerosis and cardiovascular diseases. Early detection and treatment of FH is critical in reducing the risk of cardiovascular events and improving the long-term outcomes and quality of life for affected individuals and their families. Traditional therapeutic approaches revolve around lipid-lowering interventions, yet challenges persist, particularly in accurate and timely diagnosis. The current diagnostic landscape heavily relies on genetic testing of specific LDL-C metabolism genes, often limited to specialized centers. This constraint has led to the adoption of alternative clinical scores for FH diagnosis. However, the rapid advancements in artificial intelligence (AI) and machine learning (ML) present promising solutions to these diagnostic challenges. This review explores the intricacies of FH, highlighting the challenges that are encountered in the diagnosis and management of the disorder. The revolutionary potential of ML, particularly in large-scale population screening, is highlighted. Applications of ML in FH screening, diagnosis, and risk stratification are discussed, showcasing its ability to outperform traditional criteria. However, challenges and ethical considerations, including algorithmic stability, data quality, privacy, and consent issues, are crucial areas that require attention. The review concludes by emphasizing the significant promise of AI and ML in FH management while underscoring the need for ethical and practical vigilance to ensure responsible and effective integration into healthcare practices.