Identification Of Variants Research Articles

Phenotypic Variability in Camurati–Engelmann Disease: A Case Report of a Family with the c.653G>A Pathogenic Variant in the TGFB1 Gene

Camurati–Engelmann Disease (CED), or Progressive Diaphyseal Dysplasia, is a rare autosomal dominant disorder caused by heterozygous mutations in the TGFB1 Gene, essential for bone regeneration. This study examines the genotype–phenotype relationship in a family diagnosed with CED, specifically focusing on a missense variant (c.653G>A, p.Arg218Cys). The family comprised a mother and her two children, all of whom were found to carry the same disease-causing variant. The second child exhibited severe symptoms by age six, including progressive weakness and joint pain, leading to wheelchair dependency. The mother displayed milder symptoms with preserved independence. The firstborn son, initially asymptomatic, developed gait abnormalities and pain during adolescence. Clinical evaluations revealed characteristic hyperostosis of long bones, with significant variability in symptom onset and severity among family members, potentially indicative of genetic anticipation. This case underscores the importance of genetic testing and interdisciplinary management in CED, as traditional treatments, including corticosteroids and NSAIDs, often yield limited efficacy and notable side effects. Our findings contribute to the understanding of CED’s pathophysiology and highlight the necessity for tailored therapeutic approaches. The identification of the common TGFB1 variant in this family reinforces the critical role of TGFB1 in bone metabolism and suggests avenues for further research into targeted therapies. Such reports enhance awareness and provide valuable insights for healthcare professionals managing rare genetic disorders.

Identifying pathogenic variants in rare pediatric neurological diseases using exome sequencing.

Variant annotations are crucial for efficient identification of pathogenic variants. In this study, we retrospectively analyzed the utility of four annotation tools (allele frequency, ClinVar, SpliceAI, and Phenomatcher) in identifying 271 pathogenic single nucleotide and small insertion/deletion variants (SNVs/small indels). Although variant filtering based on allele frequency is essential for narrowing down on candidate variants, we found that 13 de novo pathogenic variants in autosomal dominant or X-linked dominant genes are registered in gnomADv4.0 or 54KJPN, with an allele frequency of less than 0.001%, suggesting that very rare variants in large cohort data can be pathogenic de novo variants. Notably, 38.4% candidate SNVs/small indels are registered in the ClinVar database as pathogenic or likely pathogenic, which highlights the significance of this database. SpliceAI can detect candidate variants affecting RNA splicing, leading to the identification of four variants located 11 to 50bp away from the exon-intron boundary. Prioritization of candidate genes by proband phenotype using the PhenoMatcher module revealed that approximately 95% of the candidate genes had a maximum PhenoMatch score ≥ 0.6, suggesting the utility of phenotype-based variant prioritization. Our results suggest that a combination of multiple annotation tools and appropriate evaluation can improve the diagnosis of rare diseases.

Identification of genetic risk variants for Type-2 Diabetes mellitus in Pakistani Pashtun population: A case-control association study

Background and Objective: Pakistan, a South Asian developing country, is experiencing a rapid increase in number of diabetes cases. High prevalence ratio of diabetes in Pakistani population and lack of genetic research studies prompted us to design this study. This present study investigated Pakistani Pashtun population for (known and novel SNPs) and its possible correlation with Type-2 Diabetes Mellitus (T2DM). Methods: This two stage (discovery & validation stage), case-control association study included one thousand individuals (Patients with T2DM=500 & controls=500) from eight districts of Khyber Pakhtunkhwa Pakistan. The study duration/period was from March 2018 to January 2020. In the first stage (the discovery stage) the target population was screened for known and novel T2DM-associated genetic markers. In the validation stage, identified variants were confirmed for T2DM association using MassARRAY genotyping and association analysis. Results: Exome sequencing detected eleven known and four novel/new genetic markers in the study population. Novel variants were preferred over the known for follow-up analysis/validation. Among the identified variants strong associations were confirmed for the following variants; rs1781133/ANKRD65 (OR=2.10, 95%Cl=1.06–3.08, P=0.003) rs2274791/TTLL10 (OR=1.97, 95%Cl=1.36-2.62, P=0.025), rs71628928/RNF223 (OR=1.82, 95%Cl=0.97-1.92, P=0.041), and rs609805/SCNN1D (OR=2.21, 95%Cl=1.92-3.09, P=0.001) with T2DM; other reported variants showed no noticeable association (having P>0.05) with T2DM. Conclusion: This study reports new genetic risk variants for T2DM in Pashtun population providing valuable insights into the genetic basis of T2DM in this group. doi: https://doi.org/10.12669/pjms.40.10.10292 How to cite this: Jan A, Mothana RA, Kaimori JY, Muhammad T, Khan M, Ali SS, et al. Identification of genetic risk variants for Type-2 Diabetes mellitus in Pakistani Pashtun population: A case-control association study. Pak J Med Sci. 2024;40(10):2336-2343. doi: https://doi.org/10.12669/pjms.40.10.10292 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Promise and Peril of a Genotype-First Approach to Mendelian Cardiovascular Disease.

Precision medicine, which among other aspects includes an individual's genomic data in diagnosis and management, has become the standard-of-care for Mendelian cardiovascular disease (CVD). However, early identification and management of asymptomatic patients with potentially lethal and manageable Mendelian CVD through screening, which is the promise of precision health, remains an unsolved challenge. The reduced costs of genomic sequencing have enabled the creation of biobanks containing in-depth genetic and health information, which have facilitated the understanding of genetic variation, penetrance, and expressivity, moving us closer to the genotype-first screening of asymptomatic individuals for Mendelian CVD. This approach could transform health care by diagnostic refinement and facilitating prevention or therapeutic interventions. Yet, potential benefits must be weighed against the potential risks, which include evolving variant pathogenicity assertion or identification of variants with low disease penetrance; costly, stressful, and inappropriate diagnostic evaluations; negative psychological impact; disqualification for employment or of competitive sports; and denial of insurance. Furthermore, the natural history of Mendelian CVD is often unpredictable, making identification of those who will benefit from preventive measures a priority. Currently, there is insufficient evidence that population-based genetic screening for Mendelian CVD can reduce adverse outcomes at a reasonable cost to an extent that outweighs the harms of true-positive and false-positive results. Besides technical, clinical, and financial burdens, ethical and legal aspects pose unprecedented challenges. This review highlights key developments in the field of genotype-first approaches to Mendelian CVD and summarizes challenges with potential solutions that can pave the way for implementing this approach for clinical care.

Identification of a novel variant in the LAMB3 gene in a patient with a distinct junctional epidermolysis bullosa laryngo-onycho-cutaneous syndrome phenotype.

Junctional epidermolysis bullosa (JEB) represents a rare mechanobullous genodermatosis, characterized by fragility and blister formation of the skin and mucous membranes. Within the JEB spectrum, laryngo-onycho-cutaneous (LOC) syndrome is a rare subtype that manifests with excess granulation tissue of the eyes, nails, skin, and larynx. Thus far, the LOC subtype has been linked predominantly to mutations in LAMA3, disrupting the epidermal basement membrane zone. We present a unique case of a congenitally affected female with numerous cutaneous eroded plaques, oral ulcers, nail dystrophy, and laryngeal involvement phenotypically consistent with the rare JEB LOC subtype. Genetic testing revealed a previously unreported homozygous variant in the LAMB3 gene (p.C316Y) highlighting a novel variant in the LAMB3 gene and its association with the LOC phenotype of JEB.

Identification of a novel FGF3 variant and a new phenotype in three LAMM syndrome families

Over 700 syndromes associated with hearing loss (HL) have been identified. Labyrinthine aplasia, microtia, and microdontia (LAMM syndrome, OMIM: 610706) is a rare HL syndrome characterized by congenital sensorineural HL, labyrinthine aplasia, type I microtia and microdontia, which is caused by biallelic variants in the FGF3 gene. Using Whole-exome sequencing (WES), we identified a novel missense FGF3 variant (c.137G > C, p. Arg46Pro (NM_005247.4) in three unrelated Uyghur ethnic families. This variant is classified as a variant of uncertain significance according to ACMG guidelines, with the applied criteria of PM3, PM2_Supporting, PP3 and PP4. Patients from the three families revealed variable clinical features. We found a novel phenotype, sparse hair, in one of the proband. Our findings expanded the variant and phenotype spectrum of LAMM syndrome and provided new insights to the diagnose and pathogenesis investigation of the disease.

Identification of Genetic Variants Associated with Hereditary Thoracic Aortic Diseases (HTADs) Using Next Generation Sequencing (NGS) Technology and Genotype-Phenotype Correlations.

Hereditary thoracic aorta diseases (HTADs) are a heterogeneous group of rare disorders whose major manifestation is represented by aneurysm and/or dissection frequently located at the level of the ascending thoracic aorta. The diseases have an insidious evolution and can be encountered as an isolated manifestation or can also be associated with systemic, extra-aortic manifestations (syndromic HTADs). Along with the development of molecular testing technologies, important progress has been made in deciphering the heterogeneous etiology of HTADs. The aim of this study is to identify the genetic variants associated with a group of patients who presented clinical signs suggestive of a syndromic form of HTAD. Genetic testing based on next-generation sequencing (NGS) technology was performed using a gene panel (Illumina TruSight Cardio Sequencing Panel) or whole exome sequencing (WES). In the majority of cases (8/10), de novo mutations in the FBN1 gene were detected and correlated with the Marfan syndrome phenotype. In another case, a known mutation in the TGFBR2 gene associated with Loeys-Dietz syndrome was detected. Two other pathogenic heterozygous variants (one de novo and the other a known mutation) in the SLC2A10 gene (compound heterozygous genotype) were identified in a patient diagnosed with arterial tortuosity syndrome (ATORS). We presented the genotype-phenotype correlations, especially related to the clinical evolution, highlighting the particularities of each patient in a family context. We also emphasized the importance of genetic testing and patient monitoring to avoid acute aortic events.

Expanding the genetic spectrum of hereditary motor sensory neuropathies in Pakistan

BackgroundHereditary motor and sensory neuropathy (HMSN) refers to a group of inherited progressive peripheral neuropathies characterized by reduced nerve conduction velocity with chronic segmental demyelination and/or axonal degeneration. HMSN is highly clinically and genetically heterogeneous with multiple inheritance patterns and phenotypic overlap with other inherited neuropathies and neurodegenerative diseases. Due to this high complexity and genetic heterogeneity, this study aimed to elucidate the genetic causes of HMSN in Pakistani families using Whole Exome Sequencing (WES) for variant identification and Sanger sequencing for validation and segregation analysis, facilitating accurate clinical diagnosis.MethodsFamilies from Khyber Pakhtunkhwa with at least two members showing HMSN symptoms, who had not previously undergone genetic analysis, were included. Referrals for genetic investigations were based on clinical features suggestive of HMSN by local neurologists. WES was performed on affected individuals from each family, with Sanger sequencing used to validate and analyze the segregation of identified variants among family members. Clinical data including age of onset were assessed for variability among affected individuals, and the success rate of genetic diagnosis was compared with existing literature using proportional differences and Cohen’s h.ResultsWES identified homozygous pathogenic variants in GDAP1 (c.310 + 4 A > G, p.?), SETX (c.5948_5949del, p.(Asn1984Profs*30), IGHMBP2 (c.1591 C > A, p.(Pro531Thr) and NARS1 (c.1633 C > T, p.(Arg545Cys) as causative for HMSN in five out of nine families, consistent with an autosomal recessive inheritance pattern. Additionally, in families with HMSN, a SETX variant was found to cause cerebellar ataxia, while a NARS1 variant was linked to intellectual disability. Based on American College of Medical Genetics and Genomics criteria, the GDAP1 variant is classified as a variant of uncertain significance, while variants in SETX and IGHMBP2 are classified as pathogenic, and the NARS1 variant is classified as likely pathogenic. The age of onset ranged from 1 to 15 years (Mean = 5.13, SD = 3.61), and a genetic diagnosis was achieved in 55.56% of families with HMSN, with small effect sizes compared to previous studies.ConclusionsThis study expands the molecular genetic spectrum of HMSN and HMSN plus type neuropathies in Pakistan and facilitates accurate diagnosis, genetic counseling, and clinical management for affected families.

Evaluating RhD Assessment By Automated Methodology: A Potential ‘Blind Spot’ For RhD Variant Identification

Abstract Background Automated blood typing platforms are ideal for blood donor centers, given their broad recognition of RhD antigen variants, resulting in products from such donors to be labeled as RhD positive. However, this ‘blind spot’ for variants may be problematic for hospital-based transfusion services, since RhD variants may require provision of RhD- RBC units and Rh immune globulin. The extent to which automated methods accurately characterize variant D antigen expression is not known. As such, the objective of our study was to assess D typing results, as well as RHD genotyping, among two automated testing platforms at our facility. Methods The study site is a single tertiary care center with analysis done from 12/2020-1/2024. At our facility, all females <60 years of age with RhD antigen testing results of ≤2+ agglutination (0-4+ scale) via automated methods [solid phase testing 12/20-4/22 (Neo, Immucor, Norcross, GA) and gel testing 5/22-1/24 (Erytra, Grifols, Emeryville, CA)] are assessed by a tube RhD antigen test (Grifols reagents). If tube testing confirms a ≤2+ result (0-4+ scale), molecular variant D analysis is performed (Versiti, Milwaukee, WI). Patients typed as Rh negative with anti-D antibodies, or those with inconsistent D typing, are also subjected to genetic D testing. The Wilcoxon matched pairs signed rank test was employed for comparative data (P< 0.05 was deemed significant). Results Amongst tested patients, 73 demonstrated ≤2+ agglutination via an automated typing method, leading to variant D genetic analysis. Of these, 71% (n=52) harbored variant D antigens. Within this subgroup, 29 (56%) subjects exhibited variants associated with potential allo-anti-D development (n=5 partial D variants; n=24 weak D variants). Notably, 4 patients with partial D and 1 with weak D demonstrated allo-anti-D antibodies. Of 23 patients with variant D who underwent automated gel testing, 20 concurrent tube testing results were available. Gel testing revealed significantly stronger agglutination compared to tube testing (p < 0.001). In contrast, for paired solid phase and tube testing (n=11), there was no statistically significant difference in agglutination strength (p = 0.28). Conclusion Automated testing, particularly gel-based platforms, exhibits reduced sensitivity to RhD antigen variant identification when compared to tube testing, placing subsets of patients potentially at risk for forming allo-anti-D. Implementing protocols for verification of D status could enhance the sensitivity of variant D detection for facilities that largely rely on automated methods for antigen typing.

Identification of Novel Genetic Risk Variants Associated with Hidradenitis Suppurativa in an Exome Sequencing Cohort of 92,455 Individuals

Introduction: Hidradenitis suppurativa (HS) is a prevalent and persistent inflammatory skin disorder, lacking a known cure or effective biomarkers for early diagnosis at present. The genetic determinants of HS have not been fully documented, but it is believed to result from a combination of genetic and environmental factors. Methods: To identify relevant HS gene variants in sporadic HS patients, this study utilized longitudinal electronic health records (EHRs) and whole-exome sequencing. DNA exome sequencing data from 92,455 participant samples in the MyCode biobank, linked to Geisinger’s EHR, were analyzed. This cohort included 1,092 HS cases and 91,363 healthy controls. The MyCode EHR has a median longitudinal follow-up of 15 years per participant, with an average of 87 clinical encounters, 687 laboratory tests, and 7 procedures. Results: There were 1,092 (901 females and 191 males) participants aged 14–89 years (median 47 years) with HS (L73.2), indicating a 1.18% prevalence and accounting for a 4.7:1 female-to-male ratio among the individuals presenting for clinical care. γ-secretase complex, syndromic, and autoinflammatory gene variants were assessed. Potential pathogenic variants were identified among 66 individuals in the HS genes studied. Molecularly, the estimated HS variant prevalence was 1:1,400 in the cohort, 12.3% of variant carriers had HS diagnosis in EHR. Conclusions: Using longitudinal EHR data, genomic screening identified HS-associated gene variants in a defined group of sporadic HS patients to augment the clinical diagnosis, particularly in cases of ambiguity. Based on this study, the field of skin disorders can benefit from a personalized approach to HS diagnosis using large-scale sequencing.

Whole Exome Sequencing and Panel-Based Analysis in 176 Spanish Children with Neurodevelopmental Disorders: Focus on Autism Spectrum Disorder and/or Intellectual Disability/Global Developmental Delay

Background: Neurodevelopmental disorders (NDDs) represent a significant challenge in pediatric genetics, often requiring advanced diagnostic tools for the accurate identification of genetic variants. Objectives: To determine the diagnostic yield of whole exome sequencing (WES) with targeted gene panels in children with neurodevelopmental disorders (NDDs). Methods: This observational, prospective study included a total of 176 Spanish-speaking pediatric patients with neurodevelopmental disorders (NDDs), encompassing intellectual disability (ID), global developmental delay (GDD), and/or autism spectrum disorder (ASD). Participants were recruited from January 2019 to January 2023 at a University Hospital in Madrid, Spain. Clinical and sociodemographic variables were recorded, along with genetic study results. The age range of the subjects was 9 months to 16 years, and the percentage of males was 72.1%. The diagnostic yield of whole exome sequencing (WES) was calculated both before and after parental testing via Sanger DNA sequencing. Results: The study included 176 children: 67 (38.1%) with ID, 62 (35.2%) with ASD, and 47 (26.7%) with ASD + ID. The diagnostic yield of proband-only exome sequencing was 12.5% (22/176). By group, the diagnostic yield of proband-only exome sequencing was 3.2% in the ASD, 12.7% in the ASD + ID, and 20.8% in the ID group. Variants of uncertain significance (VUS) were found in 39.8% (70/176). After parental testing, some variants were reclassified as “likely pathogenic”, increasing the diagnostic yield by 4.6%, with an overall diagnostic yield of 17.1%. Diagnostic yield was higher in patients with syndromic ID (70.6%% vs. 29.4%; p = 0.036). Conclusions: A sequential approach utilizing WES followed by panel-based analysis, starting with the index case and, when appropriate, including the parents, proves to be a cost-effective strategy. WES is particularly suitable for complex conditions, as it allows for the identification of potentially causative genes beyond those covered by targeted panels, providing a more comprehensive analysis. Including parental testing enhances the diagnostic yield and improves accuracy, especially in cases with variants of uncertain significance (VUS), thereby advancing our understanding of NDDs.

Characterization of monoclonal antibody charge variants under near-native separation conditions using nanoflow sheath liquid capillary electrophoresis-mass spectrometry

BackgroundMonoclonal antibodies (mAbs) undergo multiple post-translational modifications (PTMs) during production and storage, resulting for instance in charge and oxidized variants. PTMs need to be assessed as critical quality attributes to assure protein quality and safety. Capillary zone electrophoresis (CZE) enables efficient charge-based separation. The CZE method developed by He et al. (2011) is currently applied routinely in the pharmaceutical industry for profiling charge heterogeneity of mAbs. However, as the method relies on a non-volatile background electrolyte (BGE), it cannot be directly hyphenated with mass spectrometry (MS), hampering the identification of separated charge variants. ResultsThis study presents a CZE-UV/MS method using a neutral static capillary coating of hydroxypropyl methylcellulose combined with a volatile BGE at pH 5.0 to allow for MS-compatible mAb charge variant separations. The effect of several parameters, including pH and concentration of the BGE, applied voltage, and injected mAb concentrations on separation performance was investigated using a panel of commercially available mAbs. The optimized method was evaluated with IgG1 and IgG4 mAbs of varying pI (7.4–9.2) and degrees of heterogeneity. Basic and acidic variants were separated from the parent mAb using a BGE of 50 mM acetic acid adjusted to pH 5.0 with ammonium hydroxide. The relative abundances of charge variants determined with the new method showed a good correlation with the corresponding relative levels obtained with the method of He et al. CZE-MS coupling was accomplished using the nanoCEasy, a low-flow sheath liquid interface, which enabled the identification and quantitation of basic, acidic, and incomplete pyroglutamate variants, and glycoforms of the tested mAbs. SignificanceThis manuscript describes a new CZE-MS method that permits heterogeneity assessment of mAbs under MS-compatible conditions, providing charge variant separation.

Fine-Mapping the Results From Genome-Wide Association Studies of Primary Biliary Cholangitis Using Susie and h2-D2.

The main goal of fine-mapping is the identification of relevant genetic variants that have a causal effect on some trait of interest, such as the presence of a disease. From a statistical point of view, fine mapping can be seen as a variable selection problem. Fine-mapping methods are often challenging to apply because of the presence of linkage disequilibrium (LD), that is, regions of the genome where the variants interrogated have high correlation. Several methods have been proposed to address this issue. Here we explore the 'Sum of Single Effects' (SuSiE) method, applied to real data (summary statistics) from a genome-wide meta-analysis of the autoimmune liver disease primary biliary cholangitis (PBC). Fine-mapping in this data set was previously performed using the FINEMAP program; we compare these previous results with those obtained from SuSiE, which provides an arguably more convenient and principled way of generating 'credible sets', that is set of predictors that are correlated with the response variable. This allows us to appropriately acknowledge the uncertainty when selecting the causal effects for the trait. We focus on the results from SuSiE-RSS, which fits the SuSiE model to summary statistics, such as z-scores, along with a correlation matrix. We also compare the SuSiE results to those obtained using a more recently developed method, h2-D2, which uses the same inputs. Overall, we find the results from SuSiE-RSS and, to a lesser extent, h2-D2, to be quite concordant with those previously obtained using FINEMAP. The resulting genes and biological pathways implicated are therefore also similar to those previously obtained, providing valuable confirmation of these previously reported results. Detailed examination of the credible sets identified suggests that, although for the majority of the loci (33 out of 56) the results from SuSiE-RSS seem most plausible, there are some loci (5 out of 56 loci) where the results from h2-D2 seem more compelling. Computer simulations suggest that, overall, SuSiE-RSS generally has slightly higher power, better precision, and better ability to identify the true number of causal variants in a region than h2-D2, although there are some scenarios where the power of h2-D2 is higher. Thus, in real data analysis, the use of complementary approaches such as both SuSiE and h2-D2 is potentially warranted.

Identification of novel variants in hereditary spherocytosis patients by whole-exome sequencing

Defects in erythrocyte membrane proteins can cause the most common type of inherited hemolytic anemia, so called hereditary spherocytosis (HS). It is characterized by the appearance of spherocytes in peripheral blood, hemolytic anemia, splenomegaly, jaundice and gallstones. Due to difficulty of diagnosis solely based on aforementioned parameters, the addition of genetic testing seems to be effective and most acknowledged. Up to date, pathogenic variations in five genes encoding membrane proteins (ANK1, SPTA1, SPTB, SLC4A1, EPB42) are identified to cause HS. Here, we have studied the genetic spectrum in forty-one patients with clinically suspected HS and their families, as well as their genotype-phenotype correlations. Pathogenic mutations in ANK1, SPTB, SLC4A1 and SPTA1 were found in 17 (41.5 %), 12 (29.3 %), 7 (17.1 %) and 5 (12.2 %) patients, respectively. Deleterious variants include 12 missense, 15 nonsense, 12 frameshift, and 4 splicing variants. Among these variations 32 were novel. In our genotype-phenotype analysis, platelet levels in SPTB (p = 0.021) and SLC4A1 (p = 0.02) patients were found to be significantly lower than ANK1 patients. In addition, LDH levels in SPTB patients were remarkably lower than patients with ANK1 mutations (p = 0.025).

Advanced AI and Augmented Reality (AR) Integration in Medical and Surgical Practice

The future of artificial intelligence (AI) in diagnosing rare genetic disorders is poised to transform precision medicine by accelerating the identification of conditions that are often difficult to diagnose. Rare genetic disorders, which affect millions of people worldwide, typically involve complex symptoms and lengthy diagnostic processes. AI's ability to process vast amounts of genomic, phenotypic, and clinical data positions it as a game-changer in this field. By detecting subtle patterns and correlations in large datasets, machine learning algorithms can deliver diagnoses faster and more accurately than traditional methods. AI-powered tools are proving valuable in whole genome and exome sequencing, automating the identification of pathogenic variants linked to rare diseases. By integrating clinical and phenotypic data, these systems can offer personalized insights, reduce diagnostic delays and improve genetic counseling and treatment development. However, the use of AI in rare disease diagnosis poses challenges, such as the need for diverse datasets to train algorithms and concerns over data privacy and equal access. Ensuring that AI tools are validated in diverse populations and effectively integrated into healthcare systems is crucial to their success. This summary will focus on the potential of AI to improve diagnostic accuracy, personalize treatments, and improve the management of rare diseases.

7407 Normosmic Idiopathic Hypogonadotropic Hypogonadism in Women: A Case Report and Comprehensive Review

Abstract Disclosure: E.G. Bustamante: None. M. Sulehri: None. I. Patoli: None. A. Karunakaran: None. Normosmic Idiopathic Hypogonadotropic Hypogonadism (nIHH) in Women: A Case Report and Literature ReviewIntroduction: IHH is a rare genetic disorder affecting gonadotropic-releasing hormone (GnRH) production and/or action, resulting in diminished sex steroid levels. Characterized by the absence of spontaneous pubertal development. In women, it manifests with normal adrenarche but absent thelarche and menarche. Our case highlight a late diagnosis of IHH in a 34-year-old woman with primary amenorrhea. Case report: A 34 year old lady with a history of primary amenorrhea sought evaluation. At age 16, she underwent assessment for short stature and primary amenorrhea, denying anosmia, headache, visual disturbances. Evaluation revealed bone age concordant with chronological age and normal MRI Brain. Pelvic ultrasound (US) showed small premenarchal uterus and ovaries. She initiated oral contraceptive pills (OCP) and experienced regular menses. Seeking fertility assistance at age 24, a normal Hysterosalpingogram was followed by successful delivery of twins after ovarian stimulation. Post-delivery menses did not resume and OCP was not restarted. Family history revealed a sister with irregular periods requiring OCP.Subsequently workup at age 30 showed Estradiol 22 pg/ml, FSH/LH 4.1/2.3 mUI/mL; normal PRL, TFT, DHEAS, 17OHP. Repeat Pelvic US showed normal uterus, endometrial stripe normal at 0.24 cm and non-visualized ovaries. PCOS testing negative for hyperandrogenism. Progesterone challenge resulted in no withdrawal bleeding. Brain MRI demonstrated a 2.2 x 1.3 mm hypoenhancing ovoid mass in the pars Intermedia of the pituitary gland suggestive of pituitary microadenoma. Pituitary axis hormonal testing was normal. Karyotype revealed 46 XX (normal female). Genetic evaluation identified a pathogenic variant (p.R35C) in GNRH1 gene. Her final diagnosis: nIHH. Discussion HH is diagnosed in 5% of all women with primary amenorrhea and is divided into 2 major categories: Kallmann syndrome and nIHH. The majority of known causes of HH can be attributed to mutations in KAL1, FGFR1, or GNRHR. The p.R35C variant has been associated with autosomal dominant nIHH. Diagnosis involves clinical suspicious, low LH/FSH and sex steroid levels, normal hypothalamic–pituitary imaging, and exclusion of differentials.Treatment goal for female focus on regular breast and uterine development, as well as the capability to conceive. Use of hormonal replacement therapy and/or gonadotropins or pulsatile GnRH for ovarian stimulation are essential. ConclusionWhile IHH predominantly affects men, limited literature explores its manifestation in women and its impact on fertility. The identification of a GNRH1-related nIHH variant highlights the role of genetic testing in specific HH diagnoses. Failure to diagnose in adolescence may compromise women overall well-being Presentation: 6/1/2024

Distribution of Variants and Identification of Novel Variants in Patients with Obesity Using Next-Generation Sequencing in Genes Associated with Obesity: A Single-Center Experience in Turkey

Background: Obesity has become a common public health problem all over the world today. In recent years, studies on the genetic etiology of obesity have gained importance. As a result of these studies, 127 obesity-related loci have been identified. Objectives: The aim of this work was to screen obesity-related genes and review the literature. Methods: In this retrospective study, 41 obesity-related genes were screened in 116 patients by next-generation sequencing. These genes are DYRK1B, LEP, LEPR, MC4R, NR0B2, POMC, UCP3, ADRB2, ADRB3, AGRP, MC3R, NTRK2, PCSK1, SIM1, CARTPT, ENPP1, PPARG, PPARGC1B, PYY, SDC3, UCP1, ADIPOQ, PBEF (NAMP), ADN (CFD), RETN, PGC1 (PPARGC1A), CCK, NPY, GLUT4 (SLC2A4), ADD1, SREBP1 (SREBF1), PTP1B (PTPN1), IRS-1, GHRL, BDNF, NEGR1, SH2B1, GIPR, TMEM18, FTO, and SLC22A1. Results: Seventy-six of our patients were female, and 40 were male. As a result, 43 variants were detected in 39 (34.4%) patients. Of these, GHRL c.152G>A, MC4R c.496G>A, SH2B1 c.2083G>A, GIPR c.548G>A, ADIPOQ c.268G>A, and BDNF c.5C>T variants have been previously reported in the literature. In addition to the aforementioned variants, there are 37 novel variants that have not been previously reported. Among these, we classified the UCP3 c.126 + 1G>T variant as “Pathogenic” according to the American College of Medical Genetics and Genomics (ACMG) criteria. Four of 37 novel variants, respectively, ADRB2 c.1160_1163delTTGT (p.Phe387Trp*55), MC4R c.895C>T (p.Pro299Ser), POMC c.304C>T (p.Gln102*), and NR0B2 c.265C>T (p.Gln89*), were classified as “Likely Pathogenic.” A total of 32 novel variants among 37 novel variants were categorized as variants of uncertain significance. Conclusions: Understanding the genetics of obesity is an essential step toward treating and preventing this disease, which has become a global health problem. With this study, we wanted to contribute to the literature by reporting previously reported and novel variants we detected in our patients with obesity.

Promoter Deletion Leading to Allele Specific Expression in a Genetically Unsolved Case of Primary Ciliary Dyskinesia.

Variation in the non-coding genome represents an understudied mechanism of disease and it remains challenging to predict if single nucleotide variants, small insertions and deletions, or structural variants in non-coding genomic regions will be detrimental. Our approach using complementary RNA-seq and targeted long-read DNA sequencing can prioritize identification of non-coding variants that lead to disease via alteration of gene splicing or expression. We have identified a patient with primary ciliary dyskinesia with a pathogenic coding variant on one allele of the SPAG1 gene, while the second allele appears normal by whole exome sequencing despite an autosomal recessive inheritance pattern. RNA sequencing revealed reduced SPAG1 transcript levels and exclusive allele specific expression of the known pathogenic allele, suggesting the presence of a non-coding variant on the second allele that impacts transcription. Targeted long-read DNA sequencing identified a heterozygous 3 kilobase deletion of the 5' untranslated region of SPAG1, overlapping the promoter and first non-coding exon. This non-coding deletion was missed by whole exome sequencing and gene-specific deletion/duplication analysis, highlighting the importance of investigating the non-coding genome in patients with "missing" disease-causing variation. This paradigm demonstrates the utility of both RNA and long-read DNA sequencing in identifying pathogenic non-coding variants in patients with unexplained genetic disease.

Identification of a Novel Frameshift variant of the ATRX gene: a Case Report and Review of the genotype–phenotype relationship

BackgroundX-linked intellectual disability-hypotonic facies syndrome-1 (MRXHF1) and Alpha-thalassemia X-linked intellectual disability (ATR-X) syndrome are caused by pathogenic variant in the ATRX gene, a member of the switch/sucrose non-fermentable (SWI-SNF) protein family that exhibits chromatin remodeling activity. These syndromes show a wide spectrum of clinical manifestations, such as distinctive dysmorphic features, mild-to-profound intellectual disability, motor development delay, seizures, urogenital abnormalities, and gastrointestinal disorders.Case presentation and literature reviewA 3-year-old boy from a Chinese non-consanguineous family was diagnosed with MRXHF1 by whole-exome sequencing. Comprehensive family history information was obtained. The Medline database was searched until 1st Aug 2023 for articles related to ATRX pathogenic variant. Data on gene/protein mutations and clinical symptoms were extracted. The proband showed intellectual disability, motor development delay, typical facial abnormalities, urogenital defect, behavior problems, and optical nerve dysplasia. A novel frameshift mutation c.399_400dup, (p.Leu134Cysfs*2) in the ATRX gene was the primary cause, which occurs right before the ATRXDNMT3-DNMT3L (ADD) domain of ATRX protein. Missense mutation is the most common variation type. The ADD and helicase-like domains are the most frequently affected domains. Epilepsy, congenital heart disease, urogenital defect, acoustic defect, and optical defect are more prevalent in patients with frameshift mutations compared to those with missense mutations. There are more urogenital defects with C-terminal frameshift mutations than with N-terminal frameshift mutations.ConclusionWe described a novel frameshift mutation in the ATRX gene in a patient with MRXHF1 syndrome and summarized the genotype–phenotype relationship of ATRX pathogenic variant by variation type and affected protein domain. The regulatory mechanism underlying ATRX variant requires comprehensive analysis in future studies.

Identification of a novel EYA4 likely pathogenic variant in a Chinese family with postlingual non-syndromic hearing loss and analysis of molecular epidemiology of EYA4 variants

BackgroundEYA4 variants are responsible for DFNA10 deafness. Due to its insidious onset and slow progression, hearing loss in autosomal dominant non-syndromic hearing loss (ADNSHL) is usually challenging to detect early in clinical settings, with limited intervention options. Genetic testing can aid in early detection of hearing loss, enabling timely intervention to reduce disability rates and improve the quality of life.MethodsIn this study, we report the case of a Chinese family with postlingual and progressive hearing loss that was passed down for four generations. Whole-exome sequencing (WES) was performed on DNA samples from the proband. Candidate variants identified in the proband and family members were confirmed via Sanger sequencing. In silico prediction tools and co-segregation analyses were used to assess the pathogenicity of identified variants. A literature review of known EYA4 variants was performed, analysing variant frequency, distribution characteristics across different populations, and genotype-phenotype correlations.ResultsWe identified a novel EYA4 variant, c.1745_1748del (p.Glu582ValfsTer6), in a Chinese family with ADNSHL, and co-segregation with the family’s phenotype was confirmed. The audiometry showed mid-to-high frequency downsloping hearing loss. To date, 52 pathogenic variants of EYA4 have been reported, with majority identified in Asian populations. Most observed are the missense and frameshift variants.ConclusionsA novel variant of EYA4 was identified in a Chinese family with postlingual hearing loss, contributing to the expanding spectrum of EYA4 variants. The audiological features of EYA4 variants are highly heterogeneous and often challenging to detect early in clinical settings. Our findings highlight the significance of genetic testing in patients presenting with postlingual hearing loss.