ZSCAN10 deficiency causes a neurodevelopmental disorder with characteristic oto-facial malformations.

Neurodevelopmental disorders are major indications for genetic referral and have been linked to more than 1500 loci including genes encoding transcriptional regulators. The dysfunction of transcription factors often results in characteristic syndromic presentations; however, at least half of these patients lack a genetic diagnosis. The implementation of machine learning approaches has the potential to aid in the identification of new disease genes and delineate associated phenotypes. Next generation sequencing was performed in seven affected individuals with neurodevelopmental delay and dysmorphic features. Clinical characterization included reanalysis of available neuroimaging datasets and 2D portrait image analysis with GestaltMatcher. The functional consequences of ZSCAN10 loss were modelled in mouse embryonic stem cells (mESCs), including a knockout and a representative ZSCAN10 protein truncating variant. These models were characterized by gene expression and western blot analyses, chromatin immunoprecipitation and quantitative PCR (ChIP-qPCR) and immunofluorescence staining. Zscan10 knockout mouse embryos were generated and phenotyped. We prioritized bi-allelic ZSCAN10 loss-of-function variants in seven affected individuals from five unrelated families as the underlying molecular cause. RNA-sequencing analyses in Zscan10-/- mESCs indicated dysregulation of genes related to stem cell pluripotency. In addition, we established in mESCs the loss-of-function mechanism for a representative human ZSCAN10 protein truncating variant by showing alteration of its expression levels and subcellular localization, interfering with its binding to DNA enhancer targets. Deep phenotyping revealed global developmental delay, facial asymmetry and malformations of the outer ear as consistent clinical features. Cerebral MRI showed dysplasia of the semicircular canals as an anatomical correlate of sensorineural hearing loss. Facial asymmetry was confirmed as a clinical feature by GestaltMatcher and was recapitulated in the Zscan10 mouse model along with inner and outer ear malformations. Our findings provide evidence of a novel syndromic neurodevelopmental disorder caused by bi-allelic loss-of-function variants in ZSCAN10.

The effects of somatic mutations on EGFR interaction with anti-EGFR monoclonal antibodies: Implication for acquired resistance.

A number of mutations in the epidermal growth factor receptor (EGFR) have been identified that imparts resistance to anti-EGFR monoclonal antibodies (mAbs) in clinical and preclinical samples. Primary or acquired resistance to targeted therapy will eventually limit the clinical benefit of anticancer mAbs. The aim of the current study was to perform computational analysis to investigate the structural implications of the EGFR somatic mutations on its complexes with the four anti-EGFR mAbs (Cetuximab, Panitumumab, Necitumumab, and Matuzumab). Docking analysis and molecular dynamics (MD) simulations were performed to understand the plausible structural and dynamical implications caused by somatic mutations available in the Catalogue of Somatic Mutations in Cancer database on the EGFR and anti-EGFR mAbs. We found that EGFRS492R and EGFRV441I in complex with Cetuximab, EGFRR377S and EGFRS447Y in complex with Panitumumab, and EGFRV441I in complex with Necitumumab have a weakest binding affinity in comparison to EGFRWT in complex with the relevant mAb. Taken together with the results obtained from docking analysis and MD simulations, the present findings may suggest that, the S492R and V441I mutations confer resistance to Cetuximab, R377S and S447Y mutations mediate resistance to Panitumumab and finally, V441I mutation also confers resistance to Necitumumab.

An updated review of the H19 lncRNA in human cancer: molecular mechanism and diagnostic and therapeutic importance.

Accumulating evidence has reported that H19 long non-coding RNA (lncRNA) expression level is deregulated in human cancer. It has been also demonstrated that de-regulated levels of H19 could affect cancer biology by various mechanisms including microRNA (miRNA) production (like miR-675), miRNA sponging and epigenetic modifications. Furthermore, lncRNA could act as a potential diagnosis and prognosis biomarkers and also a candidate therapeutic approach for different human cancers. In this narrative review, we shed light on the molecular mechanism of H19 in cancer development and pathogenesis. Moreover, we discussed the expression pattern and diagnostic and therapeutic importance of H19 as a potential biomarker in a range of human malignancies from breast to osteosarcoma cancer.

SUCLG1 mutations and mitochondrial encephalomyopathy: a case study and review of the literature.

The mitochondrial encephalomyopathies represent a clinically heterogeneous group of neurodegenerative disorders. The clinical phenotype of patients could be explained by mutations of mitochondria-related genes, notably SUCLG1 and SUCLA2. Here, we presented a 5-year-old boy with clinical features of mitochondrial encephalomyopathy from Iran. Also, a systematic review was performed to explore the involvement of SUCLG1 mutations in published mitochondrial encephalomyopathies cases. Genotyping was performed by implementing whole-exome sequencing. Moreover, quantification of the mtDNA content was performed by real-time qPCR. We identified a novel, homozygote missense variant chr2: 84676796 A > T (hg19) in the SUCLG1 gene. This mutation substitutes Cys with Ser at the 60-position of the SUCLG1 protein. Furthermore, the in-silico analysis revealed that the mutated position in the genome is well conserved in mammalians, that implies mutation in this residue would possibly result in phenotypic consequences. Here, we identified a novel, homozygote missense variant chr2: 84676796 A > T in the SUCLG1 gene. Using a range of experimental and in silico analysis, we found that the mutation might explain the observed phenotype in the family.

Clinical significance of long noncoding RNA VIM-AS1 and CTBP1-AS2 expression in type 2 diabetes.

BACKGROUND/AIMS: The risk of type 2 diabetes (T2D) is determined by a combination of genetic and environmental factors. Multiple studies have proposed that long noncoding RNAs (lncRNAs) are crucial molecules in regulating several biological processes and complex diseases. The study was aimed at investigating the association between the expression levels of lncRNA VIM-AS1, lncRNA CTBP1-AS2, and T2D susceptibility. METHODS: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 in the peripheral blood mononuclear cell (PBMC) of 100 healthy individuals and 100 T2D patients were collected for Quantitative Real-Time RT-PCR analysis. A logistic regression was performed to understand whether the likelihood of T2D can be predicted based on the expression levels of lncRNA VIM-AS1 and lncRNA CTBP1-AS2. Receiver operating characteristic (ROC) analysis was also performed to determine the statistical analysis of VIM-AS1 and CTBP1-AS2 levels in 200 samples. RESULTS: Our results display that decreased levels of VIM-AS1 and CTBP1-AS2 in PBMC were associated with diabetes in Iranian population. The logistic regression revealed that Systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), Fasting blood glucose (FBG) and CTBP1-AS2 are substantial predictors of T2D. The ROC analysis of CTBP1-AS2 revealed the area under the ROC curve (AUC) of 0.68 with a sensitivity of 58.7% and specificity of 75.3% in distinguishing nondiabetic from diabetic subjects. The ROC analysis of VIM-AS1 determined AUC of 0.63 with a sensitivity of 56.1% and specificity of 68.37% in distinguishing the two diagnostic groups. CONCLUSION: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 expression levels are associated with T2D susceptibility.

Association between chronic obstructive pulmonary disease and interleukins gene variants: A systematic review and meta-analysis.

Interleukins are cytokines involved in systemic inflammation and immune system regulation. Many studies have investigated the association between common genetic variations in interleukin-coding genes and COPD susceptibility. In this study, a systematic review and meta-analysis was performed to evaluate the association between interleukin gene variations and COPD pathogenesis. Association studies were retrieved from PubMed and Google Scholar databases using the standard systematic search strategy. A total of 26 different studies evaluating eight polymorphisms in four interleukin genes were included in this study. In overall comparisons, IL1ß-rs16944, -rs1143627, -rs1143634, IL13-rs20541 polymorphisms were found not to be associated with the increased risk for developing COPD. However, IL1RN-rs2234663 and IL13-rs1800925 showed a strong association with COPD. We showed that the CC genotype carriers of the IL6-rs1800795 are at significantly higher risk of developing COPD (OR = 1.31, 95% CI: 1.04-1.64, P = 0.01) compared to GG carriers. In case of IL6-rs1800796, individuals with CC and CG genotypes showed a lower risk to develop COPD (OR = 0.46, 95%CI: 0.32-0.66, P > 0.00). This updated meta-analysis strongly supports the association of IL1RN-rs2234663, IL6-rs1800795, -rs1800795 and IL13-rs1800925 variants with COPD.

Circular RNAs in ß-cell function and type 2 diabetes-related complications: a potential diagnostic and therapeutic approach.

Recent investigations have indicated that altered expression of non-coding RNAs (ncRNAs) could be associated with human diseases such as type 2 diabetes (T2D). Circular RNAs (circRNAs) are a new discovered class of ncRNAs with unique structural characteristics that involved in several molecular and cellular functions. Exploring of the circulating circRNAs as a reliable non-invasive biomarker for monitoring and diagnosing of human diseases has grown significantly. However, the molecular functions and clinical relevance of circRNAs are not yet well clarified in T2D. Accordingly, in this review, the involvement of circRNAs in the ß-cell function and T2D-related complications is highlighted. The study also shed light on the possibility of using circRNAs as a biomarker for T2D diagnosis.

Expression analysis and genotyping of DGKZ: a GWAS-derived risk gene for schizophrenia.

Schizophrenia (SCZ) is a disabling and severe mental illness characterized by abnormal social behavior and disrupted emotions. Similar to other neuropsychological disorders, both genetics and environmental factors interplay so as to develop SCZ. It is acknowledged that genes such as DGKZ are involved in lipid signaling pathways that are the basis of neural activities, memory, and learning and are considered as candidate loci for SCZ. The aim of the present study was to evaluate the expression level and genotypes of DGKZ in patients with SCZ and controls. We used q-PCR to measure the relative expression of DGKZ in blood. To determine DGKZ-rs7951870 genotypes, tetra-ARMS PCR was used. Our results showed a significant difference in DGKZ mRNA ratio between SCZ patients and healthy controls (P = 2 × 10-4). Also, we showed that rs7951870-TT genotype was strongly associated with increased DGKZ expression level (P = 0.038). In conclusion, our findings revealed dysregulation of DGKZ in SCZ patients and a significant correction between the gene expression and DGKZ variant rs7951870.

The rs1986112 Variant is Associated with Increased RAB8B Gene Expression in Schizophrenic Patients.

BACKGROUND: Schizophrenia (SCZ) is a serious mental disorder that interferes with a person's cognitive processes and leads to social disability. A wide range of factors may play important roles in increased risk of SCZ development. Genetic contributors are among the most influential actors involved in different molecular mechanisms leading to the development of the nervous system, thus they play pivotal roles in psychotic disorders and SCZ de-velopment. RAB8B is characterized for its key roles in several cellular and molecular mechanisms which are linked with different psychotic disorders, such as SCZ. METHODS: In this study, we assessed the expression level of RAB8B gene in blood samples of schizophrenic patients and normal healthy controls by means of quantitative real time PCR. We also investigated the correlation between RAB8B-rs1986112 genotypes and RAB8B expression levels through SNP genotyping by means of the PCR-RFLP method. RESULTS: Our results indicated a significant difference of RAB8B mRNA ratio between SCZ patients and healthy controls. Moreover, we showed significant upregulation of RAB8B in patients with rs1986112 GG and AG genotype compared to AA genotype. CONCLUSIONS: Our findings suggest a role for RAB8B and its regulatory variation, rs1986112 in SCZ development.

Deregulation of long noncoding RNA SNHG17 and TTC28-AS1 is associated with type 2 diabetes mellitus.

Long noncoding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases including type 2 diabetes mellitus (T2DM). The purpose of this study was to investigate the expression levels of SNHG17 and TTC28-AS1 in T2DM patients. Quantitative real-time RT-PCR analysis was performed using peripheral blood mononuclear cells (PBMCs) samples from patients diagnosed with T2DM and healthy controls. Binary logistic regression analysis was carried out to determine the odds of development of T2DM based on expression levels of lncRNAs and clinical characteristic of the subjects. Spearman's correlation analysis was used to clarify the correlation between SNHG17 and TTC28-AS1 expressions to metabolic features. We found that SNHG17 and TTC28-AS1were down-regulated in the T2DM group compared to the healthy control group. The logistic regression revealed that body mass index (BMI), systolic blood pressure (SBP), fasting blood glucose (FBG) and TTC28-AS1 expression substantially affect T2DM susceptibility. Furthermore, expression of SNHG17 was negatively correlated with high-density lipoprotein cholesterol (HDL-C) and expression of TTC28-AS1 was positively correlated with low-density lipoprotein cholesterol (LDL-C). Decreased expressions of lncRNAs TTC28-AS1 and SNHG17 in T2DM are possibly associated with the development of T2DM.

Long non-coding RNA LY86-AS1 and HCG27_201 expression in type 2 diabetes mellitus.

Long non-coding RNAs (LncRNAs) are non-coding RNAs. The potential roles of lncRNAs in type 2 diabetes mellitus (T2DM) are not well-known. In this study, we aim to assess the expression levels of LY86-AS1 and HCG27_201 in T2DM patients and a healthy control group. We obtained whole blood and serum samples from 100 T2DM and 100 non-diabetic subjects. Peripheral blood mononuclear cells (PBMCs) were extracted from whole blood samples using Ficoll. Total RNA was isolated from PBMCs obtained from patients with type 2 diabetes mellitus and healthy control individuals using TRIzol LS reagent (GeneAll Biotechnology Co., LTD.). Extracted RNA was used to synthesize complementary DNA (cDNA) with a Reverse Transcription Kit (Takara). Real-time was performed with SYBR Green (Takara) and monitored by a Rotor-Gene (Qiagen) system. We performed quantitative PCR analysis of the LY86-AS1 and HCG27_201 lncRNA expression levels in the 200 samples. Here we found that the expression of LY86-AS1 and HCG27_201 were down regulated in the T2DM group compared with the control group. We further identify that the expression of both lncRNAs was negatively correlated with fasting blood sugar (FBS) levels. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic value of LY86-AS1 and HCG27_201 as biomarkers for T2DM. ROC analysis demonstrated that LY86-AS1 with an area under the ROC curve (AUC) of 0.747 (P < 0.0001, sensitivity: 64.6, and specificity: 79.8) might be the potential novel diagnostic biomarkers for T2DM. Lower expression of our two studied long non-coding RNAs LY86-AS1 and HCG27_201 in type 2 diabetes mellitus patients indicates their role in the pathogenesis of T2DM. Furthermore, LY86-AS1 could possibly be used as a diagnostic marker for T2DM.

The clinical significance of miR-335, miR-124, miR-218 and miR-484 downregulation in gastric cancer.

Gastric cancer (GC) is one of the leading types of malignancy worldwide, particularly in Asian populations. Although the exact molecular mechanism of GC development remains unknown, microRNA (miRNA) has recently been shown to be involved. The current study aims to investigate the expression levels of bioinformatically ranked miRNAs in gastric tissues. Using bioinformatics tools, we prioritized miRNAs thought to be implicated in GC. Furthermore, polyA-qPCR was used to validate bioinformatics findings in 40 GC, 31 normal gastric tissue (NG) and 45 gastric dysplasia (GD) samples. As identified by bioinformatics analysis, miR-335 was shown to be the top-ranked miRNA implicated in GC. Moreover, a significant downregulation of miR-335, miR-124, miR-218 and miR-484 was found in GC and GD compared to NG samples. We found bioinformatics to be an efficient approach to finding candidate miRNAs relevant to GC development. Finally, the findings show that downregulation of miRNAs such as miR-124 and miR-218 in gastric tissue can be a significant indicator for neoplastic transformation.

Downregulation of long non-coding RNAs LINC00523 and LINC00994 in type 2 diabetes in an Iranian cohort.

Long non-coding RNAs (lncRNAs) are a subclass within the non-coding RNA repertoire that have potential roles in type 2 diabetes mellitus (T2DM). However, the biological function and molecular mechanisms of lncRNAs in T2DM remain largely unknown. The purpose of this study is to investigate the association between LINC00523 and LINC00994 expressions and T2DM susceptibility in an Iranian cohort. In this case-control study, we obtained whole blood and serum samples from 100 T2DM patients and 100 healthy subjects. We extracted peripheral blood mononuclear cells (PBMCs) from whole blood samples using Ficoll-Hypaque density-gradient centrifugation. Total RNA was extracted from the PBMC lysates by using the TRIzol-LS reagent (GeneAll). Finally, a quantitative real-time PCR (qPCR) assay was used to detect LINC00523 and LINC00994 lncRNA expression levels in the 200 samples. LINC00523 and LINC00994 expressions significantly decreased in patients with T2DM compared to the healthy participants, with a fold change for LINC00523 of 0.157 and 0.159 for LINC00994. We observed a significant inverse correlation between the expressions of these lncRNAs with FBS. Receiver operating characteristic (ROC) curve analysis revealed that LINC00523 has a higher area under the ROC curve (AUC) of 0.7430 and a lower P-value (P < 0.0001), in addition to a sensitivity of 81.44% and specificity of 61.11%. Therefore, LINC00523 could be considered a potential diagnostic biomarker for T2DM. Decreased expressions of LncRNAs LINC00523 and LINC00994 in T2DM is possibly associated with pathogenicity of T2DM in Iranian population. Moreover, LINC00523 can perhaps be considered as effective diagnostic biomarkers for T2DM.

Association of the rs1870634 Variant in Long Intergenic Non-protein Coding RNA 841 with Coronary Artery Disease: A GWAS-Replication Study in an Iranian Population.

Recent genome-wide association studies (GWAS) identified a list of single-nucleotide polymorphisms (SNPs) associated with coronary artery disease (CAD). Replication of GWAS findings in different population corroborated the observed association in the parent GWAS. In this study, we aimed to replicate the association of rs1870634, a GWAS identified SNP, to CAD in an Iranian population. The study population consisted of 267 subjects undergoing coronary angiography coronary angiography including 155 CAD patients and 112 non-CAD age- and gender-matched controls. The genotype determination of rs1870634 SNP performed using high-resolution melting analysis (HRM) technique. Our results revealed that the GG genotype frequency was significantly higher in CAD patients compared with controls (P = 0.03). The results of binary logistic regression suggested that this genotype was significantly associated with CAD risk adjustment for age, BMI, sex, TC, and LDL-C lipid levels (OR of 2.78, 95% CI (1.10-7.01), P = 0.03). Moreover, our results showed that the GG+TG genotypes were 2.52 times more likely to develop CAD (95% CI 1.05-6.03) than TT genotype carriers after adjusting for age, sex, and lipid profiles (P = 0.037). These data showed that the GG genotype could be associated with increased risk of CAD in a sample of Iranian population.

The pre-mir-499 Variant rs3746444 May Contribute to Coronary Artery Disease Susceptibility: a Case-Control and Meta-Analysis Study.

BACKGROUND: Recent reports have suggested that single-nucleotide polymorphisms (SNPs) in microRNA genes may contribute to individual susceptibility to coronary artery disease (CAD). The purpose of this study was to evaluate the association between rs3746444 in pre-miR-499 with CAD. METHODS: We performed a case-control study including 288 CAD patients and 150 control subjects. DNA was extracted from blood samples and genotyped through the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Meta-analysis was performed under fixed effect and random effect models whenever appropriate. RESULTS: We found that the GG genotype is significantly more frequent in CAD patients than controls (adjusted p = 0.010; OR = 1.99, 95%; CI: 1.18 - 3.38). Additionally, through a meta-analysis, we showed that miR-499rs3746444 has a significant association with cardiovascular disease. CONCLUSIONS: Our results suggest that miR-499-rs3746444-GG is associated with CAD susceptibility and development.

Valproic acid may exerts its cytotoxic effect through rassf1a expression induction in acute myeloid leukemia.

In acute myeloid leukemia (AML), despite the acceptance of standard intensive chemotherapy as an optimal induction regimen for all age groups, in the elderly patients, the best treatment should meet the challenge of multiple factors like age, comorbidities, and cytogenetics, making them ineligible for standard induction chemotherapy. Using the current low-intensity therapies like decitabine, azacitidine, and low-dose cytarabine as a single arm, outcomes for these patients remain poor. As a histone deacetylase inhibitor valproic acid (VPA) exhibit anticancer activity by triggering apoptosis, the mechanism of which is not yet completely clarified. To explore the possible connection between VPA treatment and the Hippo pathway as an apoptosis stimulating route, we also explore the expression of major components of this pathway and for the first time we postulate a relationship between VPA treatment and cell death induction through RASSF1A expression induction. Furthermore, we demonstrate that autophagy inhibition by chloroquine (CQ) significantly augmented the cytotoxic effect of VPA on AML cells, especially in those with unfavorable and normal karyotype. Regarding that VPA and CQ are well-tolerated drugs and our presumptive results of usefulness of VPA + CQ in three cytogenetic risk groups of AML, this combinatorial therapy could represent an attractive treatment option for older AML patients unfit for intensive therapy.

A genetic variant in CAMKK2 gene is possibly associated with increased risk of bipolar disorder.

A recent large-scale study have reported that rs1063843, a single nucleotide polymorphism located in the CAMKK2 gene is highly associated with schizophrenia in European and Han Chinese populations. Increasing evidences show that schizophrenia and bipolar disorder have some common genetic variance. Here, we evaluated the association of this variant with schizophrenia and bipolar disorder in Iranian population. Genomic DNA was extracted from peripheral blood of 500 schizophrenic patients, 500 bipolar patients and 500 normal controls and all were genotyped for the rs1063843 using a PCR-RFLP method. The allele frequency of rs1063843 was significantly different in both schizophrenia and bipolar patients comparing to control group. For the first time, we showed that rs1063843 is highly associated with bipolar disorder, although more replication studies are needed to confirm our findings. Our results also support the findings of previous studies suggesting a significant association between rs1063843 and schizophrenia.

Association of miR-146a rs2910164 and miR-149 rs2292832 Variants with Susceptibility to Type 2 Diabetes.

BACKGROUND: The deregulation of miRNAs has been implicated in the pathogenesis of type 2 diabetes (T2D). Single nucleotide polymorphisms (SNPs) located within the miRNA sequence could alter miRNA maturation and expression or change the binding affinity of miRNAs to their target mRNAs. In the present study we aimed to elucidate the possible association between the miR-146a rs2910164 and miR-149 rs2292832 variants with the susceptibility to T2D and its related metabolic traits in an Iranian population. METHODS: The study population consisted of 183 type 2 diabetic and 192 non-diabetic subjects. The genotyping of the variants was performed by a PCR-RFLP method. RESULTS: The frequency of the CC genotype of the miR-146a rs2910164 variant was significantly higher in diabetic patients than in controls (15.85% vs. 7.81%, p = 0.043). The results of binary logistic regression suggested that this genotype was significantly associated with T2D (OR of 2.43 (95% CI 1.17 - 5.02, p = 0.016). Moreover, subjects carrying the CC genotype had significantly higher values for diastolic blood pressure, triglycerides, total cholesterol, fasting blood glucose and HbAlc levels compared to individuals having the GG and GC genotypes. Our bioinformatic analyses also showed that the miR-146a sequence is conserved across primate taxa and substituting G to C causes the structural instability of pre-miR-146a by changing the minimum free energy. For the rs2292832 variant, no statistically significant difference was detected for allele or genotype frequencies between T2D and control groups. CONCLUSIONS: Our findings suggest that miR-146a rs2910164 polymorphism might be associated with T2D and its cardiovascular risk factors in an Iranian population.

A Bioinformatics Approach to the Identification of Variants Associated with Type 1 and Type 2 Diabetes Mellitus that Reside in Functionally Validated miRNAs Binding Sites.

The present work is aimed at finding variants associated with Type 1 and Type 2 diabetes mellitus (DM) that reside in functionally validated miRNAs binding sites and that can have a functional role in determining diabetes and related pathologies. Using bioinformatics analyses we obtained a database of validated polymorphic miRNA binding sites which has been intersected with genes related to DM or to variants associated and/or in linkage disequilibrium (LD) with it and is reported in genome-wide association studies (GWAS). The workflow we followed allowed us to find variants associated with DM that also reside in functional miRNA binding sites. These data have been demonstrated to have a functional role by impairing the functions of genes implicated in biological processes linked to DM. In conclusion, our work emphasized the importance of SNPs located in miRNA binding sites. The results discussed in this work may constitute the basis of further works aimed at finding functional candidates and variants affecting protein structure and function, transcription factor binding sites, and non-coding epigenetic variants, contributing to widen the knowledge about the pathogenesis of this important disease.

Bioinformatics prioritization of SNPs perturbing microRNA regulation of hematological malignancy-implicated genes.

The contribution of microRNAs (miRNAs) to cancer has been extensively investigated and it became obvious that a strict regulation of miRNA-mRNA regulatory network is crucial for safeguarding cell health. Apart from the direct impact of miRNA dysregulation in cancer pathogenesis, genetic variations in miRNAs are likely to disrupt miRNA-target interaction. Indeed, many evidences suggested that SNPs within miRNA regulome are associated with the development of different hematological malignancies. However, a full catalog of SNPs within miRNAs target sites of genes relevant to hematopoiesis and hematological malignancies is still lacking. Accordingly, we aimed to systematically identify and characterize such SNPs and provide a prioritized list of most potentially disrupting SNPs. Although in the present study we did not address the functional significance of these potential disturbing variants, we believe that our compiled results will be valuable for researchers interested in determining the role of target-SNPs in the development of hematological malignancies.