High-risk genes involved in common septal defects of congenital heart disease

The septation defect is one of the main categories of congenital heart disease (CHD). They can affect the septation of the atria leading to atrial septal defect (ASD), septation of ventricles leading to ventricular septal defect (VSD), and formation of the central part of the heart leading to atrioventricular septal defect (AVSD). Disruption of critical genetic factors involved in the proper development of the heart structure leads to CHD manifestation. Because of this, to identify the high-risk genes involved in common septal defects, a comprehensive search of the literature with the help of databases and the WebGestalt analysis tool was performed. The high-risk genes identified in the analysis were checked in 16 Indian whole-exome sequenced samples, including 13 VSD and three Tetralogy of Fallot for in silico validation. This data revealed three variations in GATA4, i.e., c.C1223A at exon 6: c.C602A and c.C1220A at exon 7; and one variation in MYH6, i.e., c.G3883C at exon 28 in two VSD cases. This study supports previously published studies that suggested GATA4 and MYH6 as the high-risk genes responsible for septal defects. Thus, this study contributes to a better understanding of the genes involved in heart development by identifying the high-risk genes and interacting proteins in the pathway.

Prioritizing Candidate Genes for Type 2 Diabetes Mellitus using Integrated Network and Pathway Analysis

Background:

Type 2 Diabetes Mellitus (T2DM) has emerged as a major threat to global health that fosters life-threatening clinical complications, taking a huge toll on our society. More than 65 million Indians suffer from T2DM, making it one of the leading causes of death. T2DM and associated complications have to be constantly monitored and managed which reduces the overall quality of life and increases socioeconomic burden. Therefore, it is crucial to develop specific treatment and management strategies. In order to achieve this, it is essential to understand the underlying genetic causes and molecular mechanisms.

Methods:

Integrated gene network and ontology analyses facilitate prioritization of plausible candidate genes for T2DM and also aid in understanding their mechanistic pathways. In this study, T2DM-associated genes were subjected to sequential interaction network and gene set enrichment analysis. High ranking network clusters were derived and their interrelation with pathways was assessed.

Results:

About 23 significant candidate genes were prioritized from 615 T2DM-associated genes which were overrepresented in pathways related to insulin resistance, type 2 diabetes, signaling cascades such as insulin receptor signaling pathway, PI3K signaling, IGFR signaling pathway, ERBB signaling pathway, MAPK signaling pathway and their regulatory mechanisms.

Conclusion:

Of these, two tyrosine kinase receptor genes-EGFR and IGF1R were identified as common nodes and can be considered to be significant candidate genes in T2DM.

Differential expression of the Mycobacterium tuberculosis heat shock protein genes in response to drug-induced stress

Heat shock proteins are essential in maintaining cellular protein function, especially during stress. Their influence in managing drug-induced stress in Tuberculosis is not clearly understood.

AIMS

Study the expression of select genes of the DnaK/ClpB chaperone network to evaluate their role in stress response in Mycobacterium tuberculosis clinical isolates during exposure to Isoniazid (INH) and Rifampicin (RIF).

METHODS

Sanger sequencing to detect drug-resistant mutations followed by Drug Susceptibility Testing and Minimum Inhibitory Concentration determination. Culturing the bacilli in vitro, exposed to 1/4, 1/2 and 1 × MIC, and RNA quantification of dnaK, dnaJ1, grpE and clpB genes by using Real-time PCR.

RESULTS

Susceptible isolates showed marginal down-regulation of two genes for INH, whereas all genes under-expressed against RIF. INH-resistant isolates had distinct expression profiles for inhA-15 and katG315 mutants. RIF-resistant bacilli did not have significant differential expression. MDR isolate showed up-regulation of all the four genes, with two genes over-expressing (≥4-fold).

CONCLUSIONS

We observed characteristic gene expression profiles for each isolate in response to lethal and sub-lethal doses of INH and RIF. This provides insight into the role of DnaK/ClpB chaperone network in managing drug-induced stress and facilitating resistance. Further, the knowledge could provide targets for new drugs and augmenters.

Risk homozygous haplotype regions for autism identifies population-specific ten genes for numerous pathways

Background

Recessive homozygous haplotype (rHH) mapping is a reliable tool for identifying recessive genes by detecting homozygous segments of identical haplotype structures. These are shared at a higher frequency amongst probands compared to parental controls. Finding out such rHH blocks in autism subjects can help in deciphering the disorder etiology.

Objectives

The study aims to detect rHH segments of identical haplotype structure shared at a higher frequency in autism subjects than controls to identify recessive genes responsible for autism manifestation.

Methods

In the present study, 426 unrelated autism genotyped probands with 232 parents (116 trios) were obtained from Gene Expression Omnibus (GEO) Database. Homozygosity mapping analyses have been performed on the samples using standardized algorithms using the Affymetrix GeneChip® 500K SNP Nsp and Sty mapping arrays datasets.

Results

A total of 38 homozygous haplotype blocks were revealed across sample datasets. Upon downstream analysis, 10 autism genes were identified based on selected autism candidate genes criteria. Further, expressive Quantitative Trait Loci (QTL) analysis of SNPs revealed various binding sites for regulatory proteins BX3, FOS, BACH1, MYC, JUND, MAFK, POU2F2, RBBP5, RUNX3, and SMARCA4 impairing essential autism genes CEP290, KITLG, CHD8, and INS2. Pathways and processes such as adherens junction, dipeptidase activity, and platelet-derived growth factor—vital to autism manifestation were identified with varied protein-protein clustered interactions.

Conclusion

These findings bring various population clusters with significant rHH genes. It is suggestive of the existence of common but population-specific risk alleles in related autism subjects.

De novo assembly, annotation and gene expression profiles of gonads of Cytorace-3, a hybrid lineage of Drosophila nasuta nasuta and D. n. albomicans

Cytorace-3 is a laboratory evolved hybrid lineage of Drosophila nasuta nasuta males and Drosophila nasuta albomicans females currently passing ~850 generations. To assess interracial hybridization effects on gene expression in Cytorace-3 we profiled the transcriptomes of mature ovaries and testes by employing Illumina sequencing technology and de novo transcriptome assembling strategies. We found 26% of the ovarian, and 14% of testis genes to be differentially expressed in Cytorace-3 relative to the expressed genes in the parental gonadal transcriptomes. About 5% of genes exhibited additive gene expression pattern in the ovary and 3% in the testis, while the remaining genes were misexpressed in Cytorace-3. Nearly 772 of these misexpressed genes in the ovary and 413 in the testis were either over- or under-dominant. Genes following D. n. nasuta dominance was twice (270 genes) than D. n. albomicans dominance (133 genes) in the ovary. In contrast, only 105 genes showed D. n. nasuta dominance and 207 showed D. n. albomicans dominance in testis transcriptome. Of the six expression inheritance patterns, conserved inheritance pattern was predominant for both ovary (73%) and testis (85%) in Cytorace-3. This study is the first to provide an overview of the expression divergence and inheritance patterns of the transcriptomes in an independently evolving distinct hybrid lineage of Drosophila. This recorded expression divergence in Cytorace-3 surpasses that between parental lineages illustrating the strong impact of hybridization driving rapid gene expression changes.

Role of CNTNAP2 in autism manifestation outlines the regulation of signaling between neurons at the synapse

Background

Autism is characterized by high heritability and a complex genetic mutational landscape with restricted social behavior and impaired social communication. Whole-exome sequencing is a reliable tool to pinpoint variants for unraveling the disease pathophysiology. The present meta-analysis was performed using 222 whole-exome sequences deposited by Simons Simplex Collection (SSC) at the European Nucleotide Archive. This sample cohort was used to identify causal mutations in autism-specific genes to create a mutational landscape focusing on the CNTNAP2 gene.

Results

The authors account for the identification of 15 high confidence genes with 24 variants for autism with Simons Foundation Autism Research Initiative (SFARI) gene scoring. These genes encompass critical autism pathways such as neuron development, synapse complexity, cytoskeleton, and microtubule activation. Among these 15 genes, overlapping variants were present across multiple samples: KMT2C in 167 cases, CNTNAP2 in 192 samples, CACNA1C in 152 cases, and SHANK3 in 124 cases. Pathway analysis identifies clustering and interplay of autism genes—WDFY3, SHANK2, CNTNAP2, HOMER1, SYNGAP1, and ANK2 with CNTNAP2. These genes coincide across autism-relevant pathways, namely abnormal social behavior and intellectual and cognitive impairment. Based on multiple layers of selection criteria, CNTNAP2 was chosen as the master gene for the study. It is an essential gene for autism with speech-language delays, a typical phenotype in most cases under study. It showcases nine variants across multiple samples with one damaging variant, T589P, with a GERP rank score range of 0.065–0.95. This unique variant was present across 86.5% of the samples impairing the epithelial growth factor (EGF) domain. Established microRNA (miRNA) genes hsa-mir-548aq and hsa-mir-548f were mutated within the CNTNAP2 region, adding to the severity. The mutated protein showed reduced stability by 0.25, increased solvent accessibility by 9%, and reduced depth by 0.2, which rendered the protein non-functional. Secondary physical interactors of CNTNAP2 through CNTN2 proteins were mutated in the samples, further intensifying the severity.

Conclusion

CNTNAP2 has been identified as a master gene in autism manifestation responsible for speech-language delay by impairing the EGF protein domain and downstream cascade. The decrease in EGF is correlated with vital autism symptoms, especially language disabilities.

Integrated Network and Gene Ontology Analysis Identifies Key Genes and Pathways for Coronary Artery Diseases

BACKGROUND

The prevalence of Coronary Artery Disease (CAD) in developing countries is on the rise, owing to rapidly changing lifestyle. Therefore, it is imperative that the underlying genetic and molecular mechanisms be understood to develop specific treatment strategies. Comprehensive disease network and Gene Ontology (GO) studies aid in prioritizing potential candidate genes for CAD and also give insights into gene function by establishing gene and disease pathway relationships.

METHODS

In the present study, CAD-associated genes were collated from different data sources and protein-protein interaction network was constructed using STRING. Highly interconnected network clusters were inferred and GO analysis was performed.

RESULTS

Interrelation between genes and pathways were analyzed on ClueGO and 38 candidates were identified from 1475 CAD-associated genes, which were significantly enriched in CAD-related pathways such as metabolism and regulation of lipid molecules, platelet activation, macrophage derived foam cell differentiation, and blood coagulation and fibrin clot formation.

DISCUSSION

Integrated network and ontology analysis enables biomarker prioritization for common complex diseases such as CAD. Experimental validation and future studies on the prioritized genes may reveal valuable insights into CAD development mechanism and targeted treatment strategies.

Whole-exome sequencing and homozygosity mapping identify variants in NCOR1 and MAP2K3 associated with non-syndromic congenital heart defects

Background

Homozygosity mapping is an efficient gene mapping method applicable to recessive disorders. It can detect homozygous segments of identical haplotype structures shared at a higher frequency among ventricular septal defect (VSD) and tetralogy of Fallot (TOF) cases. This study aims to identify the recessive genes involved in congenital heart disease (CHD) cases by homozygosity mapping. A total of 36 CHD cases of Indian origin were recruited based on inclusion and exclusion criteria, disease severity, and hole size. Of these, ten prediagnosed VSD and TOF cases were selected for homozygosity mapping. For in silico validation of variations, overlapping gene variants were analyzed from 26 cases based on pathogenecity and haploinsufficiency scores.

Results

Genome-wide homozygosity mapping identified 34 homozygous regions with a maximum block length of 80 bp marked for the CHD samples under study. A total of 4863 genes were identified in these 34 homozygous regions, which were present across almost all chromosomes except chromosomes 4, 8, 12, and 13. The homozygosity region found in chromosome 17 revealed genes for CHD manifestation. This homozygous region contained VSD- and TOF-related genes—Nuclear Corepressor 1 (NCOR1) and Mitogen-Activated Protein Kinase Kinase 3 (MAP2K3). In silico validation identified damaging variants for NCOR1 and MAP2K3. Three variants, G207C, C241T, and G244A, were found on exon 2 in the transcript NM_001190438 for NCOR1. Three variants were also found for MAP2K3, namely G194T and C199T in exon 5 and C578T in exon 8 in the transcript NM_002756. All these variants were present in the protein kinase domain.

Conclusion

Presence of homozygous regions identifies recessive genes leading to disease severity. Defects in recessive genes NCOR1 and MAP2K3 are responsible for abnormal myogenesis, resulting in CHD manifestation.

Identification of primary copy number variations reveal enrichment of Calcium, and MAPK pathways sensitizing secondary sites for autism

Background

Autism is a neurodevelopmental condition with genetic heterogeneity. It is characterized by difficulties in reciprocal social interactions with strong repetitive behaviors and stereotyped interests. Copy number variations (CNVs) are genomic structural variations altering the genomic structure either by duplication or deletion. De novo or inherited CNVs are found in 5–10% of autistic subjects with a size range of few kilobases to several megabases. CNVs predispose humans to various diseases by altering gene regulation, generation of chimeric genes, and disruption of the coding region or through position effect. Although, CNVs are not the initiating event in pathogenesis; additional preceding mutations might be essential for disease manifestation. The present study is aimed to identify the primary CNVs responsible for autism susceptibility in healthy cohorts to sensitize secondary-hits. In the current investigation, primary-hit autism gene CNVs are characterized in 1715 healthy cohorts of varying ethnicities across 12 populations using Affymetrix high-resolution array study. Thirty-eight individuals from twelve families residing in Karnataka, India, with the age group of 13–73 years are included for the comparative CNV analysis. The findings are validated against global 179 autism whole-exome sequence datasets derived from Simons Simplex Collection. These datasets are deposited at the Simons Foundation Autism Research Initiative (SFARI) database.

Results

The study revealed that 34.8% of the subjects carried 2% primary-hit CNV burden with 73 singleton-autism genes in different clusters. Of these, three conserved CNV breakpoints were identified with ARHGAP11B, DUSP22, and CHRNA7 as the target genes across 12 populations. Enrichment analysis of the population-specific autism genes revealed two signaling pathways—calcium and mitogen-activated protein kinases (MAPK) in the CNV identified regions. These impaired pathways affected the downstream cascades of neuronal function and physiology, leading to autism behavior. The pathway analysis of enriched genes unravelled complex protein interaction networks, which sensitized secondary sites for autism. Further, the identification of miRNA targets associated with autism gene CNVs added severity to the condition.

Conclusion

These findings contribute to an atlas of primary-hit genes to detect autism susceptibility in healthy cohorts, indicating their impact on secondary sites for manifestation.

Allopatric sibling species pair Drosophila nasuta nasuta and Drosophila nasuta albomicans exhibit expression divergence in ovarian transcriptomes

Drosophila nasuta nasuta and Drosophila nasuta albomicans represent cross fertile members of the immigrans species group of Drosophila with an allopatric mode of distribution exhibiting characteristic novelties. Illumina sequencing technology and de novo transcriptome assembling strategies were used for the current study. The analysis revealed 8% of the transcriptome to be differentially expressed between the ovaries of these two species, of which 9% was related to female reproduction. The majority of the differentially expressed genes were enriched for genetic information processing pathways, biosynthesis, and metabolism-related pathways. SNPs in D. n. albomicans transcriptome was double in number than in D. n. nasuta and only 5% of these SNPs were fixed. Ka/Ks ratios indicated the lineages were under strong purifying selection. The genes which are differentially expressed are evolving at a similar rate as that of genes with conserved expression. Thus, the current findings provide useful insights on the expression dynamics during incipient species divergence of D. n. nasuta and D. n. albomicans since their divergence time of ~ 0.5 million years.

Haplotype analysis of ADAM33 polymorphisms in asthma: A pilot study

Background & objectives

ADAM33 is implicated as a potentially strong candidate gene for asthma and bronchial hyper-responsiveness. Many polymorphisms of ADAM33 have been studied along with ADAM33 expression in various cells of the lungs. Haplotype analysis also showed association with asthma in different populations across the world. Therefore, the aim of this study was to perform a comprehensive screening of ADAM33 polymorphisms in adult patients with asthma.

Methods

Thirty five polymorphisms of ADAM33 were genotyped in 55 patients with asthma and 53 controls. The association of single nucleotide polymorphisms (SNPs) and haplotypes with phenotypes of asthma was analysed.

Results

The genotype, minor allele frequency, odds ratio and Hardy-Weinberg equilibrium did not show any significant difference among cases and controls. No association was found between SNPs of ADAM33 with the severity of asthma. Correlation analysis of ADAM33 SNPs to the phenotypes, based on clinical variables and allergen sensitization, did not show significant difference. Haplotype analysis showed that rs2280090 and rs2280091 were associated with asthma in the patient group.

Interpretation & conclusions

Haplotype analysis showed an association of the two SNP variations with asthma. These SNPs lead to amino acid change and are prone to phosphorylation, which may affect expression levels and protein function of ADAM33 and asthma susceptibility.

Simultaneous Detection of Drug-resistant Mutations in Mycobacterium tuberculosis and Determining their Role through In Silico Docking

A molecular method for diagnosis of drug-resistant Tuberculosis is Multiplex allele-specific PCR (MAS-PCR), which is more time-efficient, and its accuracy is studied using DNA sequencing. Also, understanding the role of mutations, when translated to protein, in causing resistance helps in better drug designing.

AIM

To study MAS-PCR in the detection of drug resistance in comparison to DNA sequencing in Mycobacterium tuberculosis, and understand the mechanism of interaction of drugs with mutant proteins.

METHODS

MAS-PCR was used for the detection of drug-resistant mutations and validation was done through DNA sequencing. MAS-PCR targeted four genes, iniA for the drug Ethambutol, rpsL and rrs for Streptomycin, and gyrA for Fluoroquinolone resistance, respectively. Further, the sequence data was analysed and modeled for in silico docking to study the effect on the interaction of the anti-TB drug molecule with the target protein.

RESULTS

We identified drug-resistant mutations in four out of 95 isolates with one of them carrying a mutation at codon iniA501, two at gyrA94, and one for both iniA501 and gyrA94 using MASPCR. DNA sequencing confirmed drug-resistant mutations in only two isolates, whereas two others had mutation adjacent to the target allele. Drug-protein docking showed Estimated Free Energy of Binding to be higher for Fluoroquinolone binding with GyrA D94V mutant. Both wild and mutant IniA interact with EMB but had no significant effect on binding energy.

CONCLUSION

DNA sequencing-based drug resistance detection of TB is more accurate than MASPCR. Understanding the role of mutations in influencing the drug-protein interaction will help in designing effective drug alternatives.

Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach

Background & objectives:

Aneuploids are the most common chromosomal abnormality in liveborns and are usually the result of non-disjunction (NDJ) in meiosis. Copy number variations (CNVs) are large structural variations affecting the human genome. CNVs influence critical genes involved in causing NDJ by altering their copy number which affects the clinical outcome. In this study influence of CNVs on critical meiotic recombination was examined using new computational technologies to assess their role in causing aneuploidy.

Methods:

This investigation was based on the analysis of 12 random normal populations consisting of 1714 individuals for aneuploid causing genes under CNV effect. To examine the effect of CNVs on genes causing aneuploidy, meiotic recombination genes were analyzed using EnrichR, WebGestalt and Ingenuity Pathway Analysis (IPA).

Results:

Forty three NDJ genes were found under CNV burden; IPA (Ingenuity Pathway Analysis) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis of CNV in meiotic recombination genes revealed a significant role of breast cancer gene 1, amyloid protein precursor, mitogen-activated protein kinase and nerve growth factor as key molecular players involved in causing aneuploidy. Interaction between these genes with other CNV-overlapping genes involved in cell cycle, recombination and meiosis might lead to increased incidences of aneuploidy.

Interpretation & conclusions:

The findings of this study implied that the effect of CNVs on normal genome contributed in amplifying the occurrences of chromosomal aneuploidies. The normal individuals consisting of variations in the susceptible genes causing aneuploids in the population remain undetected until the disorder genes express in the succeeding generations.

Complex interaction between HNRNPD mutations and risk polymorphisms is associated with discordant Crohn's disease in monozygotic twins

Crohn's disease (CD) is a chronic inflammatory bowel disease (IBD) affecting the lining of digestive tracts of the colon and ileum. To investigate the reasons behind the presence of CD phenotype in one of the monozygotic (MZ) twins, we utilized the whole exome sequence (WES) datasets of CD tissue biopsy and CD blood of affected twin and the exome dataset of blood from healthy twin. We report the presence of discordant and rare damaging mutation in HNRNPD and other risk polymorphisms such as, rs12103, rs2241880, rs3810936, rs7076156, rs1042058 and rs1292053. HNRNPD was found carrying two novel heterozygous mutations - a stop gain mutation that truncated the protein at 249th and 268th amino acid position and a single base missense mutation replacing Aspartate with Valine at 300th amino acid. The identified risk polymorphisms were found conferring susceptibility to CD and IBD. Discordant deleterious and damaging mutation was detected in HNRNPD that have been implicated in inflammatory pathways. Integrating these variants led to the elucidation of pathophysiology of CD in the affected twin involving the causal processes of macrophage activation, tissue death, autophagy, immune response, cell-migration and T-cell activation.

A preliminary study on the association of single nucleotide polymorphisms of interleukin 4 (IL4), IL13, IL4 receptor alpha (IL4Rα) & Toll-like receptor 4 (TLR4) genes with asthma in Indian adults

Background & objectives:

Interleukin 4 (IL4) and IL13 genes are believed to be responsible for inflammation of the airways in asthmatics. These share a common receptor component called IL4Rα which is another potentially important candidate gene linked to asthma phenotypes. Another gene Toll-like receptor 4 (TLR4) might affect the incidence or progression of asthma through the expression of proinflammatory genes. Several single nucleotide polymorphisms (SNPs) in IL4, IL13, IL4Rα and TLR4 have been reported to be linked to asthma or related phenotypes in several ethnic populations using linkage studies and association studies. However, the results have not been consistent. We investigated five SNPs (C-589T and C-33T of IL4, G+2044A of IL13, A+1902G of IL4Rα, and A+896G of TLR4) in patients with adult onset asthma to evaluate their role in manifestation and severity of asthma.

Methods:

Adult (>18 yr of age) patients with asthma (n=100) and healthy controls (n=50) were included in the study. Genotyping was performed using sequenom MassARRAY technology.

Results:

The mutant alleles of the C-589T and C-33T SNPs in the promoter region of IL4 were present in 4 per cent patients with asthma but absent from the control group suggesting that the variations in IL4 may contribute to asthma occurrence. The SNPs of other genes were seen in both controls and patients.

Interpretation & conclusions:

The results suggest the possible association between the genetic distribution of C-589T and C-33T SNPs of IL4 with asthma in Indian adults.

High-resolution arrays reveal burden of copy number variations on Parkinson disease genes associated with increased disease risk in random cohorts

BACKGROUND

Parkinson disease (PD) is a neurological disease responsible for a considerable rate of mortality and morbidity in the society. Since the symptoms of the disease appear much later than the actual onset of neuron degeneration, a majority of cases remain undiagnosed until the manifestation of the symptoms.

OBJECTIVES

In order to investigate the existence of such susceptibility in the population, we analyzed Copy Number Variation (CNV) influences on PD genes in 1715 individuals from 12 different populations.

RESULTS

Overall, 16 CNV-PD genes, 3 known to be causal and 13 associated, were found to be significantly enriched. PARK2, was under heavy burden with ~1% of the population containing CNV in the exonic region. The impact of these genes on the genome and disease pathway was analyzed using several genome analysis tools. Protein interaction network of CNV-PD genes revealed a complex interaction of molecules forming a major hub by the α-Synuclein, whose direct interactors, LRRK2, PARK2 and ATP13A2 are under CNV influence.

CONCLUSIONS

We hypothesize that CNVs may not be the initiating event in the pathogenesis of PD and remain latent until additional secondary hits are acquired and also propose novel genes that may fall under the PD pathway which contribute in pathogenesis.

A newly evolved Drosophila Cytorace-9 shows trade-off between longevity and immune response

Species with an efficient immune system would be at an advantage to evade pathogenic challenges and adapt to an ever changing ecological niche. The upkeep of immunity is a costly affair, thus trade-offs between immunity and other life history traits are expected. However, studies on the relation between immunity and life span have yielded paradoxical results. Drosophila Cytoraces, being at different stages of evolutionary divergence, provide an excellent experimental model system to study how evolving populations gain novel traits in the absence of selection. We found that in the absence of pathogenic infections, the Cytorace-9 flies lived longer than those of Cytorace-3. However, when these Cytoraces were challenged with different pathogenic microbes, the trend was opposite. After infection with pathogens, the long-lived Cytorace-9 survived worse than the short lived Cytorace-3, which can be attributed to a reduction in its immune response. This study provides evidence to support the existence of a trade-off between life span and immunity.

Effect of Structural Changes in Proteins Derived from GATA4 Nonsynonymous Single Nucleotide Polymorphisms in Congenital Heart Disease

Congenital heart disease is the most common type of birth defect. The single nucleotide polymorphism in GATA4 is associated with various congenital heart disease phenotypes. In the present study, we analysed the nonsynonymous single nucleotide polymorphism of GATA4, which are involved in congenital heart disease by predicting the changes in protein structures. Total of 49 nonsynonymous single nucleotide polymorphisms of GATA4 was screened from congenital heart disease patients of Mysore and also globally reported nonsynonymous single nucleotide polymorphisms. To understand the role of nonsynonymous single nucleotide polymorphisms, we mutated the sequence and translated into amino acids. Further the mutated protein secondary structure is predicted and tertiary structure is predicted using homology modeling. The quantitative evaluation of protein structure quality was verified with Volume Area Dihedral Angle Reporter server. Results revealed the secondary, tertiary structural changes along with changes in free energy of folding, volume and accessible surface area. Thus, the structural changes in the mutated proteins impaired the normal function of GATA4.

Type 2 diabetes mellitus disease risk genes identified by genome wide copy number variation scan in normal populations

AIMS

To identify the role of copy number variations (CNVs) on disease risk genes and its effect on disease phenotypes in type 2 diabetes mellitus (T2DM) in 12 random populations using high throughput arrays.

METHODS

CNV analysis was carried out on a total of 1715 individuals from 12 populations, from ArrayExpress Archive of the European Bioinformatics Institute along with our subjects using Affymetrix Genome Wide SNP 6.0 array. CNV effect on T2DM genes were analyzed using several bioinformatics tools and a molecular protein interaction network was constructed to identify the disease mechanism altered by the CNVs.

RESULTS

Analysis showed 34.4% of the total population to be under CNV burden for T2DM, with 83 disease causal and associated genes being under CNV influence. Hotspots were identified on chromosomes 22, 12, 6, 19 and 11.Overlap studies with case cohorts revealed significant disease risk genes such as EGFR, E2F1, PPP1R3A, HLA and TSPAN8.

CONCLUSIONS

CNVs play a significant role in predisposing T2DM in normal cohorts and contribute to the phenotypic effects. Thus, CNVs should be considered as one of the major contributors in predisposition of the disease.

Development of Rapid Automatized Naming (RAN) in Simultaneous Kannada-English Biliterate Children

RAN tests were administered to 600 typically developing children, 60 each from grade level one through grade ten (30 boys and 30 girls), who learn two distinct languages, English and Kannada simultaneously from the very first grade. The overall results were in accordance with similar previous studies in English and other European languages. The developmental trajectories were similar across the languages to a large extent; but the results also showed some differences across languages with respect to synchrony between the measures and the overall naming speed. Though some of the differences could be ascribed to the bilingual/biliterate culture and language use, there are enough scopes for future researches to examine these issues.

IL-10 and IL-17F Promoter Single Nucleotide Polymorphism and Asthma: A Case-Control Study in South India

BACKGROUND

Several studies have assessed the association between IL-17F and IL-10 promoter polymorphisms and asthma, but the results were conflicting. Furthermore, few studies have evaluated the association of cytokine polymorphisms with asthma and its clinical phenotypes.

OBJECTIVE

This study was conducted to evaluate the association of IL-10 (interleukin 10) and IL-17F (interleukin 17F) promoter polymorphisms (rs1800871, rs1800896 and rs1889570) with asthma and its clinical phenotypes including severity, atopic status, spirometric parameters, and response to treatment in south Indian population. A sub-study was conducted to assess cytokine levels in subjects with different gene variants.

METHODS

IL-10 and IL-17F polymorphisms were genotyped in 419 asthmatic patients and 393 controls using Mass ARRAY.

RESULTS

Our results showed an association between IL-10 SNPs and mild asthma. No association was found with any of three SNPs in moderate to severe asthma. Comparison of genotype distribution of IL-17F rs1887570 AA variant among atopic and non-atopic patients showed significant difference (p = 0.024). Correlation analysis of IL-10 and IL-17F SNPs to clinical variables showed a positive correlation between IL-17F rs1887570 AA and number of allergen sensitized (rs = 0.142, p = 0.004). Significant improvement in lung function was observed after 2 months of ICS (Inhaled corticosteroids) and LABA (long acting β2 agonist) treatment in all subjects with no statistically significant difference among SNPs variants. Cytokines levels were similar in different SNP variants.

CONCLUSION

We observed an association between IL-10 rs1800871 and rs1800896 SNPs and mild asthma, as well as IL-17F rs1887570 AA variant and number of allergens sensitized.

Global spectrum of copy number variations reveals genome organizational plasticity and proposes new migration routes

Global spectrum of CNVs is required to catalog variations to provide a high-resolution on the dynamics of genome-organization and human migration. In this study, we performed genome-wide genotyping using high-resolution arrays and identified 44,109 CNVs from 1,715 genomes across 12 populations. The study unraveled the force of independent evolutionary dynamics on genome-organizational plasticity across populations. We demonstrated the use of CNV tool to study human migration and identified a second major settlement establishing new migration routes in addition to existing ones.

Copy number variation burden on asthma subgenome in normal cohorts identifies susceptibility markers

PURPOSE

Asthma is a complex disease caused by interplay of genes and environment on the genome of an individual. Copy number variations (CNVs) are more common compared to the other variations that disrupt genome organization. The effect of CNVs on asthma subgenome has been less studied compared to studies on the other variations. We report the assessments of CNV burden in asthma genes of normal cohorts carried out in different geographical areas of the world and discuss the relevance of the observation with respect to asthma pathogenesis.

METHODS

CNV analysis was performed using Affymerix high-resolution arrays, and various bioinformatics tools were used to understand the influence of genes on asthma pathogenesis.

RESULTS

This study identified 61 genes associated with asthma and provided various mechanisms and pathways underlying asthma pathogenesis. CCL3L1, ADAM8, and MUC5B were the most prevalent asthma genes. Among them, CCL3L1 was found across all 12 populations in varying copy number states. This study also identified the inheritance of asthma-CNVs from parents to offspring creating the latent period for manifestation of asthma.

CONCLUSIONS

This study revealed CNV burden with varying copy number states and identified susceptibility towards the disease manifestation. It can be hypothesized that primary CNVs may not be the initiating event in the pathogenesis of asthma and additional preceding mutations or CNVs may be required. The initiator or primary CNVs sensitize normal cohorts leading to an increased probability of accumulating mutations or exposure to allergic stimulating agents that can augment the development of asthma.

Insertion-deletions burden in copy number polymorphisms of the Tibetan population

BACKGROUND:

Many studies have been conducted to identify either insertions-deletions (inDels) or copy number variations (CNVs) in humans, but few studies have been conducted to identify both of these forms coexisting in the same region.

AIMS AND OBJECTIVES:

To map the functionally significant sites within human genes that are likely to influence human traits and diseases.

MATERIALS AND METHODS:

In this report, we describe an inDel map in the 1051 Tibetan CNV regions obtained through CNV genotyping using Affymetrix Genome-wide single nucleotide polymorphism 6.0 chip. InDel polymorphisms in these copy number polymorphism regions were identified with a computational approach using the 2500 deoxyribonucleic acid sequences obtained from the 1000 Genome Project.

RESULTS:

The study identified a total of 95935 inDels that range from 1 bp to several bps in length which were found scattered across regulatory regions, exons and in introns of genes underlying the CNVs. A study on the distribution of inDels revealed that the majority of inDels were found in coding regions of the genome than the noncoding, while within the genes, inDels in intron regions were more followed by exonic regions and finally the regulatory regions.

CONCLUSION:

Study of inDels in CNV regions contribute to the enhanced understanding of the role played by the two variations and their collective influence on the genome. Further, a collection of these inDel genetic markers will aid in genetic mapping, further understanding of the phenotypic variability, identification of disease genes and in detecting novel CNVs.

Family based genome-wide copy number scan identifies complex rearrangements at 17q21.31 in dyslexics

Developmental dyslexia (DD) is a complex heritable disorder with unexpected difficulty in learning to read and spell despite adequate intelligence, education, environment, and normal senses. We performed genome-wide screening for copy number variations (CNVs) in 10 large Indian dyslexic families using Affymetrix Genome-Wide Human SNP Array 6.0. Results revealed the complex genomic rearrangements due to one non-contiguous deletion and five contiguous micro duplications and micro deletions at 17q21.31 region in three dyslexic families. CNVs in this region harbor the genes KIAA1267, LRRC37A, ARL17A/B, NSFP1, and NSF. The CNVs in case 1 and case 2 at this locus were found to be in homozygous state and case 3 was a de novo CNV. These CNVs were found with at least one CNV having a common break and end points in the parents. This cluster of genes containing NSF is implicated in learning, cognition, and memory, though not formally associated with dyslexia. Molecular network analysis of these and other dyslexia related module genes suggests NSF and other genes to be associated with cellular/vesicular membrane fusion and synaptic transmission. Thus, we suggest that NSF in this cluster would be the nearest gene responsible for the learning disability phenotype.

Molecular interaction network and pathway studies of ADAM33 potentially relevant to asthma

BACKGROUND

Asthma is a complex disease caused by gene-gene, gene-protein, and protein-protein interactions and the influence of environment, which plays a significant role in causing asthma pathogenesis. ADAM33 is known to be an important gene involved in asthma pathogenesis. No one single gene is a causal factor of asthma; rather, asthma is caused by a complex interaction of multiple genes having pathogenetic and protective effects.

OBJECTIVE

To identify and understand the interacting genes and proteins of ADAM33.

METHODS

The Ingenuity Pathway Analysis and GeneMANIA tools and a literature survey were used to identify the interacting candidates of ADAM33 and the WEB-based GEne SeT AnaLysis Toolkit was used to perform enrichment analysis of the proteins identified.

RESULTS

Keeping ADAM33 as a major hub, the authors identified some proteins whose interaction with ADAM33 had been associated with asthma and they recognized some proteins, such as amyloid β (A4) precursor protein, ataxin-7, α4-integrin, α5-integrin, α9-integrin, tissue inhibitor of metalloproteinase-4, and ubiquilin-4, that had not been previously associated with asthma.

CONCLUSION

The proteins identified in this study were enriched for various mechanisms that are involved in airway hyperresponsiveness, and through the interaction with ADAM33, they may have potential relevance in asthma.

Divergence of the gene aly in experimentally evolved cytoraces, the members of the nasuta-albomicans complex of Drosophila

We generated cytoraces by crossing the chromosomal races (Drosophila nasuta nasuta and Drosophila nasuta albomicans) of the nasuta subgroup of Drosophila and maintained the offspring over many generations through sibling mating. These cytoraces, along with their parents, are members of the nasuta-albomicans complex of Drosophila. The gene always early (aly) is one of the rapidly evolving genes in the genus Drosophila and plays a central role in regulating meiosis. Here we examined the rate of molecular evolution of aly in cytoraces of Drosophila and demonstrated that the rate of substitutions amongst cytoraces is around eight times greater than their parents and even amongst species of subgenera. Thus, the presence of positive selection in the laboratory-derived cytoraces based on the analysis of the synonymous and nonsynonymous substitution rates of aly suggests the rapid evolution in cytoraces.

Serum levels of IL-10, IL-17F and IL-33 in patients with asthma: a case-control study

OBJECTIVES

The development of inflammation in asthma involves an intricate network of cytokines that recruit and activate numerous immune cells. This study was aimed to compare serum levels of IL-10, IL-17F, and IL-33 in asthmatic patients and non-asthmatic controls and correlate cytokine levels to asthma severity and various clinical, spirometric, and laboratory variables.

METHODS

Using ELISA, serum levels of IL-10, IL-17F, and IL-33 were evaluated in 44 asthmatics (14 mild persistent, 15 moderate persistent, and 15 severe persistent) and 44 controls.

RESULTS

This is one of the first reports showing a significant difference in serum levels of asthma-associated cytokines, anti-inflammatory IL-10, and pro-inflammatory IL-17F and IL-33, in the same subset of asthmatic patients. Our results showed diminished level of IL-10 and elevated levels of IL-17F and IL-33 in asthmatics than in controls (p < 0.001). Assessment of cytokine levels between subjects of different gender, age group, and BMI showed non-significant differences. Correlation analysis of cytokine levels to clinical variables showed that IL-17F is associated negatively to FVC % predicted (forced vital capacity) and FEV1% predicted (forced expiratory volume in one second) and positively to number of allergens sensitized and FEV1 reversibility. A strong negative correlation was found between IL-10 and IL-33 levels (p = 0.001).

CONCLUSIONS

Negative correlation between IL-10 and IL-33 levels may reflect a converse relationship between anti-inflammatory and pro-inflammatory cytokines in an individually balanced pattern. The association between IL-17F level and asthmatic phenotypes such as reduced FVC and FEV1, higher degree of sensitization, and post-bronchodilator reversibility needs further assessments.

Copy number variations burden on miRNA genes reveals layers of complexities involved in the regulation of pathways and phenotypic expression

MicroRNAs are involved in post-transcriptional down-regulation of gene expression. Variations in miRNA genes can severely affect downstream-regulated genes and their pathways. However, population-specific burden of CNVs on miRNA genes and the complexities created towards the phenotype is not known. From a total of 44109 CNVs investigated from 1715 individuals across 12 populations using high-throughput arrays, 4007 miRNA-CNVs (∼ 9%) consisting 6542 (∼ 5%) miRNA genes with a total of 333 (∼ 5%) singleton miRNA genes were identified. We found miRNA-CNVs across the genomes of individuals showing multiple hits in many targets, co-regulated under the same pathway. This study proposes four mechanisms unraveling the many complexities in miRNA genes, targets and co-regulated miRNA genes towards establishment of phenotypic diversity.

Genome-wide copy number scan identifies disruption of PCDH11X in developmental dyslexia

Developmental dyslexia (DD) is a complex heritable disorder with unexpected difficulty in learning to read and spell despite adequate intelligence, education, environment, and normal senses. We performed a whole genome copy number variations (CNV) scan on 11 dyslexic families consisting of 14 dyslexic subjects and 24 non dyslexic members using 1.8 million combined SNP and CNV markers. We found CNVs affecting protocadherin genes in six dyslexics from three families, while none among the non-dyslexic control members showed any CNV in protocadherins. We identified duplications in five cases and a deletion in one case in Xq21.3 region bearing PCDH11X. Unequal recombination between the X-transposed region (XTR) of Yp11.2 and the X chromosome might be causing these structural changes. PCDH11X, expressed in brain is implicated in cell-cell communication, verbal ability, cerebral asymmetry, and dendritic synaptic plasticity, may be regarded as a new candidate gene for dyslexia.

Lack of association between genetic polymorphisms in ROBO1, MRPL19/C2ORF3 and THEM2 with developmental dyslexia

Developmental Dyslexia (DD) is a heritable, complex genetic disorder characterized by specific impairment in reading and writing ability that is substantially below the expected reading ability given the person's chronological age, measured intelligence and age-appropriate education. More than ten susceptible genes have been identified for DD. A Single Nucleotide Polymorphism (SNP) of these genes was found to be associated with various phenotypes of DD. To identify the role of SNPs of four candidate genes namely, MRPL19/C2ORF3, ROBO1 and THEM2 in an Indian population, we genotyped eight SNPs of these genes in 157 children with DD and 212 normal readers using a MassARRAY technique with a MALDI-TOF MS analyzer. Power analysis of some of these SNPs showed >80% of power. Chi-square test, Odds Ratios (ORs), 95% Confidence Intervals (CIs) and Bonferroni's correction were applied to identify the significance of the genotyped SNPs and haplotypes. Our study failed to show any association of SNPs and haplotypes of these genes with DD in an Indian population.

Association of socio-economic status with family history in adult patients with asthma

BACKGROUND & OBJECTIVES

Socio-economic status is associated with increased morbidity in patients with asthma. The aim of the present study was to assess the association between socio-economic status and family history of asthma in adult asthma patients.

METHODS

The study included 200 adults with asthma and 400 non-asthmatic controls. Socio-economic status was determined based on income. Regression analysis was used to estimate odd ratios in relation to socio-economic class, using age, gender, family history of asthma and smoking habits.

RESULTS

The highest occurrence of having any family history of asthma was observed in the high class group (88.2%), followed by upper middle class (79.5%), lower middle class (60%) and the lowest in the low class group (34%). Having any family history of asthma was an important risk factor in both univariate and multivariate analyses in lower middle class, upper middle class and high class, but not in the low class group.

INTERPRETATION AND CONCLUSIONS

The results indicated a positive association between having a family history of asthma and higher socio-economic status. Further studies on a large representative sample need to be conducted to confirm these findings.

Unravelling the complexity of human olfactory receptor repertoire by copy number analysis across population using high resolution arrays

Olfactory receptors (OR), responsible for detection of odor molecules, belong to the largest family of genes and are highly polymorphic in nature having distinct polymorphisms associated with specific regions around the globe. Since there are no reports on the presence of copy number variations in OR repertoire of Indian population, the present investigation in 43 Indians along with 270 HapMap and 31 Tibetan samples was undertaken to study genome variability and evolution. Analysis was performed using Affymetrix Genome-Wide Human SNP Array 6.0 chip, Affymterix CytoScan^® High-Density array, HD-CNV, and MAFFT program. We observed a total of 1527 OR genes in 503 CNV events from 81.3% of the study group, which includes 67.6% duplications and 32.4% deletions encompassing more of genes than pseudogenes. We report human genotypic variation in functional OR repertoire size across populations and it was found that the combinatorial effect of both “orthologous obtained from closely related species” and “paralogous derived sequences” provide the complexity to the continuously occurring OR CNVs.