Comprehensive genomic filtering algorithm to expose the cause of skewed X chromosome inactivation. The proof of concept in female haemophilia expression.

BACKGROUND: Exploring the expression of X linked disorders like haemophilia A (HA) in females involves understanding the balance achieved through X chromosome inactivation (XCI). Skewed XCI (SXCI) may be involved in symptomatic HA carriers. We aimed to develop an approach for dissecting the specific cause of SXCI and verify its value in HA. METHODS: A family involving three females (two symptomatic with severe/moderate HA: I.2, the mother, and II.1, the daughter; one asymptomatic: II.2) and two related affected males (I.1, the father and I.3, the maternal uncle) was studied. The genetic analysis included F8 mutational screening, multiplex ligation-dependent probe amplification, SNP microarray, whole exome sequencing (WES) and Sanger sequencing. XCI patterns were assessed in ectoderm/endoderm and mesoderm-derived tissues using AR-based and RP2-based systems. RESULTS: The comprehensive family analysis identifies I.2 female patient as a heterozygous carrier of F8:p.(Ser1414Ter) excluding copy number variations. A consistent XCI pattern of 99.5% across various tissues was observed. A comprehensive filtering algorithm for WES data was designed, developed and applied to I.2. A Gly58Arg missense variant in VMA21 was revealed as the cause for SXCI.Each step of the variant filtering system takes advantage of publicly available genomic databases, non-SXCI controls and case-specific molecular data, and aligns with established concepts in the theoretical background of SXCI. CONCLUSION: This study acts as a proof of concept for our genomic filtering algorithm's clinical utility in analysing X linked disorders. Our findings clarify the molecular aspects of SXCI and improve genetic diagnostics and counselling for families with X linked diseases like HA.

Expression of genes potentially involved in loss of response in patients with chronic myeloid leukemia.

Chronic Myeloid Leukemia (CML) is a hematological malignancy characterized by the presence of the BCR::ABL1 fusion gene, which leads to uncontrolled cell growth and survival. Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment of CML, but a significant proportion of patients develop resistance or lose response to these drugs. Understanding the molecular mechanisms underlying treatment response and resistance is crucial for improving patient outcomes. This study aimed to analyze the expression patterns of genes involved in treatment response and resistance in CML patients receiving TKI therapy. The expression levels of MET, FOXO3, p15, p16, HCK, and FYN genes were examined in CML patients and compared to healthy donors. Gene expression levels were compared between optimal responders (OR) and resistant patients (R) vs. healthy donors (HD). The MET and FOXO3 OR group showed significant differences compared with the HD, (p < 0.0001) and (p = 0.0003), respectively. p15 expression showed significant differences between OR and HD groups (p = 0.0078), while no significant differences were found in p16 expression between the HD groups. FYN showed a statistically significant difference between R vs. HD (p = 0.0157). The results of HCK expression analysis revealed significant differences between OR and HD (p = 0.0041) and between R and HD (p = 0.0026). When we analyzed OR patients with undetectable BCR::ABL1 transcripts, a greater expression of HCK was observed in the R group. These findings suggest that monitoring the expression levels of MET and FOXO3 genes could be valuable in predicting treatment response and relapse in CML patients. Our study provides important insights into the potential use of gene expression analysis as a tool for predicting treatment response and guiding treatment decisions in CML patients. This knowledge may ultimately contribute to the development of personalized treatment strategies to improve patient outcomes in CML.

Haemophilia B, severe childhood obesity and other extra-haematological features associated with similar 4Mb-deletions on Xq27: Clinical findings, molecular insights and literature update.

INTRODUCTION: Haemophilia B (HB) is associated with pathogenic variants in F9. Hemizygous deletions encompassing the entire F9 and proximate genes may express extra-haematological clinical phenotypes. AIM: To analyse the genotype/phenotype correlations in two unrelated boys with severe early childhood obesity (SCO), global developmental delay (GDD) and similar bleeding phenotype associated with comparable Xq27 deletions spanning the entire F9 and proximate genes, and characterise the pathogenic events estimating the most likely mutational mechanism involved. METHODS: Entire F9-deletions were detected in three hemizygous unrelated probands with HB: two cases, C#1/C#2, presented SCO and GDD and a control patient (Co), who only had severe bleeding symptoms. Dense SNP-array and case-specific STS walking scan allowed characterisation of the deletion breakpoints. Extensive use of bioinformatics, statistics and clinical databases allowed the investigation of genotype-phenotype associations. RESULTS: Patients C#1/C#2 and Co resulted in a complete F9 and additional gene deletions of variable extensions on Xq26.3-Xq27.2 (C#1/C#2/Co: 4.3Mb/3.9Mb/160Kb). C#1/C#2 common deleted gene SOX3 is directly associated with SCO, GDD and pituitary hypothyroidism (PH) whilst C#2 extra-deleted gene MAGEC2 indirectly relates to anal atresia (AA). Breakpoint analysis revealed the involvement of the mechanisms of Alu/Alu recombination for the first time in HB and non-homologous or alternative end-joining. CONCLUSION: Our results represent the first report of unrelated patients with HB, SCO and GDD. This study and the literature update expand the spectrum of clinical findings and molecular insights observed in patients with HB caused by complete F9 and nearby SOX3 and MAGEC2 gene deletions, which may configure a contiguous gene syndrome.