scholarly journals Genomics of complex disorders I

2008 ◽  
Vol 2 (3-4) ◽  
pp. 181-183
Keyword(s):  
Complex Disorders

Utility of Whole Genome Sequencing in diagnosing complex disorders: lesson from renal tubular disorders

2018 ◽  
Author(s):  
Mark Stevenson ◽  
Alistair T Pagnamenta ◽  
Heather G Mack ◽  
Judith A Savige ◽  
Kate E Lines ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome ◽  
Complex Disorders ◽  
Tubular Disorders ◽  
Renal Tubular Disorders ◽  
Renal Tubular

Sexual Disorders among Sexual and Gender Minority Populations

2020 ◽  
pp. 134-145
Author(s):  
Heather L. Armstrong
Keyword(s):  
Sexual Health ◽  
Sexual Disorders ◽  
Minority Populations ◽  
Gender Nonconforming ◽  
Complex Disorders ◽  
Gender Minority ◽  
Research Perspectives ◽  
Sexual Orientations ◽  
Sexual And Gender Minority ◽  
And Gender

Sexual disorders and dysfunction are common among people of all sexual orientations and gender identities. And while definitions and conceptions of sexual health are typically broad, the clinical and research perspectives on sexual function and dysfunction have traditionally relied on the four-phase model of sexual response and disorders are generally classified as “male” or “female.” This chapter reviews the diagnostic criteria for specific sexual dysfunctions and presents a summary of existing research among sexual and gender minority populations. Overall, research on sexual dysfunction among sexual and gender minority people is limited, and this is especially true for transgender and gender nonconforming individuals. Understanding these often complex disorders requires that individuals, clinicians, and researchers consider a range of biopsychosocial factors that can affect and be affected by one’s sexual health and sexuality.

scholarly journals Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Zeeshan Ahmed ◽  
Eduard Gibert Renart ◽  
Saman Zeeshan ◽  
XinQi Dong
Keyword(s):  
Data Analysis ◽  
Patient Care ◽  
Expression Analysis ◽  
High Throughput ◽  
Gene Annotation ◽  
Next Generation Sequencing Data ◽  
Rna Seq ◽  
Sequencing Data ◽  
Complex Disorders ◽  
Transcriptomics Data

Abstract Background Genetic disposition is considered critical for identifying subjects at high risk for disease development. Investigating disease-causing and high and low expressed genes can support finding the root causes of uncertainties in patient care. However, independent and timely high-throughput next-generation sequencing data analysis is still a challenge for non-computational biologists and geneticists. Results In this manuscript, we present a findable, accessible, interactive, and reusable (FAIR) bioinformatics platform, i.e., GVViZ (visualizing genes with disease-causing variants). GVViZ is a user-friendly, cross-platform, and database application for RNA-seq-driven variable and complex gene-disease data annotation and expression analysis with a dynamic heat map visualization. GVViZ has the potential to find patterns across millions of features and extract actionable information, which can support the early detection of complex disorders and the development of new therapies for personalized patient care. The execution of GVViZ is based on a set of simple instructions that users without a computational background can follow to design and perform customized data analysis. It can assimilate patients’ transcriptomics data with the public, proprietary, and our in-house developed gene-disease databases to query, easily explore, and access information on gene annotation and classified disease phenotypes with greater visibility and customization. To test its performance and understand the clinical and scientific impact of GVViZ, we present GVViZ analysis for different chronic diseases and conditions, including Alzheimer’s disease, arthritis, asthma, diabetes mellitus, heart failure, hypertension, obesity, osteoporosis, and multiple cancer disorders. The results are visualized using GVViZ and can be exported as image (PNF/TIFF) and text (CSV) files that include gene names, Ensembl (ENSG) IDs, quantified abundances, expressed transcript lengths, and annotated oncology and non-oncology diseases. Conclusions We emphasize that automated and interactive visualization should be an indispensable component of modern RNA-seq analysis, which is currently not the case. However, experts in clinics and researchers in life sciences can use GVViZ to visualize and interpret the transcriptomics data, making it a powerful tool to study the dynamics of gene expression and regulation. Furthermore, with successful deployment in clinical settings, GVViZ has the potential to enable high-throughput correlations between patient diagnoses based on clinical and transcriptomics data.

scholarly journals Molecular Modeling of Histamine Receptors—Recent Advances in Drug Discovery

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1778
Author(s):  
Pakhuri Mehta ◽  
Przemysław Miszta ◽  
Sławomir Filipek
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Molecular Modeling ◽  
Molecular Targets ◽  
Histamine Receptors ◽  
Experimental Characterization ◽  
Complex Disorders ◽  
Theoretical Investigations ◽  
Recent Developments

The recent developments of fast reliable docking, virtual screening and other algorithms gave rise to discovery of many novel ligands of histamine receptors that could be used for treatment of allergic inflammatory disorders, central nervous system pathologies, pain, cancer and obesity. Furthermore, the pharmacological profiles of ligands clearly indicate that these receptors may be considered as targets not only for selective but also for multi-target drugs that could be used for treatment of complex disorders such as Alzheimer’s disease. Therefore, analysis of protein-ligand recognition in the binding site of histamine receptors and also other molecular targets has become a valuable tool in drug design toolkit. This review covers the period 2014–2020 in the field of theoretical investigations of histamine receptors mostly based on molecular modeling as well as the experimental characterization of novel ligands of these receptors.

scholarly journals Genome-Wide Analysis of Sex Disparities in the Genetic Architecture of Lung and Colorectal Cancers

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 686
Author(s):  
Alireza Nazarian ◽  
Alexander M. Kulminski
Keyword(s):  
Nucleotide Polymorphisms ◽  
Genetic Associations ◽  
Significance Level ◽  
Association Analyses ◽  
Complex Disorders ◽  
Specific Effects ◽  
Genome Wide ◽  
Genetic Mechanisms ◽  
Sex Disparities ◽  
Almost All

Almost all complex disorders have manifested epidemiological and clinical sex disparities which might partially arise from sex-specific genetic mechanisms. Addressing such differences can be important from a precision medicine perspective which aims to make medical interventions more personalized and effective. We investigated sex-specific genetic associations with colorectal (CRCa) and lung (LCa) cancers using genome-wide single-nucleotide polymorphisms (SNPs) data from three independent datasets. The genome-wide association analyses revealed that 33 SNPs were associated with CRCa/LCa at P < 5.0 × 10−6 neither males or females. Of these, 26 SNPs had sex-specific effects as their effect sizes were statistically different between the two sexes at a Bonferroni-adjusted significance level of 0.0015. None had proxy SNPs within their ±1 Mb regions and the closest genes to 32 SNPs were not previously associated with the corresponding cancers. The pathway enrichment analyses demonstrated the associations of 35 pathways with CRCa or LCa which were mostly implicated in immune system responses, cell cycle, and chromosome stability. The significant pathways were mostly enriched in either males or females. Our findings provided novel insights into the potential sex-specific genetic heterogeneity of CRCa and LCa at SNP and pathway levels.

scholarly journals Multiple Sclerosis Biomarker Discoveries by Proteomics and Metabolomics Approaches

2021 ◽  
Vol 16 ◽  
pp. 117727192110133
Author(s):  
Ameneh Jafari ◽  
Amirhesam Babajani ◽  
Mostafa Rezaei-Tavirani
Keyword(s):  
Multiple Sclerosis ◽  
Complex Disease ◽  
Biomarker Discovery ◽  
Response To Treatment ◽  
Inflammatory Disorder ◽  
Protein Marker ◽  
Complex Disorders ◽  
New Information ◽  
The Central Nervous System ◽  
Monitoring Treatment

Multiple sclerosis (MS) is an autoimmune inflammatory disorder of the central nervous system (CNS) resulting in demyelination and axonal loss in the brain and spinal cord. The precise pathogenesis and etiology of this complex disease are still a mystery. Despite many studies that have been aimed to identify biomarkers, no protein marker has yet been approved for MS. There is urgently needed for biomarkers, which could clarify pathology, monitor disease progression, response to treatment, and prognosis in MS. Proteomics and metabolomics analysis are powerful tools to identify putative and novel candidate biomarkers. Different human compartments analysis using proteomics, metabolomics, and bioinformatics approaches has generated new information for further clarification of MS pathology, elucidating the mechanisms of the disease, finding new targets, and monitoring treatment response. Overall, omics approaches can develop different therapeutic and diagnostic aspects of complex disorders such as multiple sclerosis, from biomarker discovery to personalized medicine.

scholarly journals Clinical and genetic spectrum of glycogen storage disease in Iranian population using targeted gene sequencing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zahra Beyzaei ◽  
Fatih Ezgu ◽  
Bita Geramizadeh ◽  
Mohammad Hadi Imanieh ◽  
Mahmood Haghighat ◽  
...  
Keyword(s):  
Clinical Symptoms ◽  
Molecular Genetic ◽  
Gene Sequencing ◽  
Glycogen Storage ◽  
Loss Of Function ◽  
Retrospective Case ◽  
Complex Disorders ◽  
Glycogen Storage Diseases ◽  
Targeted Gene Sequencing ◽  
Retrospective Case Study

AbstractGlycogen storage diseases (GSDs) are known as complex disorders with overlapping manifestations. These features also preclude a specific clinical diagnosis, requiring more accurate paraclinical tests. To evaluate the patients with particular diagnosis features characterizing GSD, an observational retrospective case study was designed by performing a targeted gene sequencing (TGS) for accurate subtyping. A total of the 15 pediatric patients were admitted to our hospital and referred for molecular genetic testing using TGS. Eight genes namely SLC37A4, AGL, GBE1, PYGL, PHKB, PGAM2, and PRKAG2 were detected to be responsible for the onset of the clinical symptoms. A total number of 15 variants were identified i.e. mostly loss-of-function (LoF) variants, of which 10 variants were novel. Finally, diagnosis of GSD types Ib, III, IV, VI, IXb, IXc, X, and GSD of the heart, lethal congenital was made in 13 out of the 14 patients. Notably, GSD-IX and GSD of the heart-lethal congenital (i.e. PRKAG2 deficiency) patients have been reported in Iran for the first time which shown the development of liver cirrhosis with novel variants. These results showed that TGS, in combination with clinical, biochemical, and pathological hallmarks, could provide accurate and high-throughput results for diagnosing and sub-typing GSD and related diseases.

scholarly journals Neuroinflammation as a Common Denominator of Complex Diseases (Cancer, Diabetes Type 2, and Neuropsychiatric Disorders)

2021 ◽  
Vol 22 (11) ◽  
pp. 6138
Author(s):  
Serena Asslih ◽  
Odeya Damri ◽  
Galila Agam
Keyword(s):  
Cell Activation ◽  
Neuronal Degeneration ◽  
Complex Diseases ◽  
Diabetes Type 2 ◽  
Neuropsychiatric Disorders ◽  
Diabetes Type ◽  
Common Denominator ◽  
Cancer Type ◽  
Complex Disorders

The term neuroinflammation refers to inflammation of the nervous tissue, in general, and in the central nervous system (CNS), in particular. It is a driver of neurotoxicity, it is detrimental, and implies that glial cell activation happens prior to neuronal degeneration and, possibly, even causes it. The inflammation-like glial responses may be initiated in response to a variety of cues such as infection, traumatic brain injury, toxic metabolites, or autoimmunity. The inflammatory response of activated microglia engages the immune system and initiates tissue repair. Through translational research the role played by neuroinflammation has been acknowledged in different disease entities. Intriguingly, these entities include both those directly related to the CNS (commonly designated neuropsychiatric disorders) and those not directly related to the CNS (e.g., cancer and diabetes type 2). Interestingly, all the above-mentioned entities belong to the same group of “complex disorders”. This review aims to summarize cumulated data supporting the hypothesis that neuroinflammation is a common denominator of a wide variety of complex diseases. We will concentrate on cancer, type 2 diabetes (T2DM), and neuropsychiatric disorders (focusing on mood disorders).

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