Purpose Next-generation sequencing has implicated some risk variants for human spina bifida (SB), but the genome-wide contribution of structural variation to this complex genetic disorder remains largely unknown. We examined copy-number variant (CNV) participation in the genetic architecture underlying SB risk. Methods A high-confidence ensemble approach to genome sequences (GS) was benchmarked and employed for systematic detection of common and rare CNVs in two separate ancestry-matched SB case–control cohorts. Results SB cases were enriched with exon disruptive rare CNVs, 44% of which were under 10 kb, in both ancestral populations (P = 6.75 × 10−7; P = 7.59 × 10−4). Genes containing these disruptive CNVs fall into molecular pathways, supporting a role for these genes in SB. Our results expand the catalog of variants and genes with potential contribution to genetic and gene–environment interactions that interfere with neurulation, useful for further functional characterization. Conclusion This study underscores the need for genome-wide investigation and extends our previous threshold model of exonic, single-nucleotide variation toward human SB risk to include structural variation. Since GS data afford detection of CNVs with greater resolution than microarray methods, our results have important implications toward a more comprehensive understanding of the genetic risk and mechanisms underlying neural tube defect pathogenesis.

Purpose: Introns play an important role in gene regulation and expression. Single nucleotide polymorphisms (SNPs) in introns have the potential to cause disease and alter the genotype–phenotype association. Hence, this study aimed to decipher the association of SNPs in the introns of the crystallin gene in congenital cataracts. Methods: SNPs in the introns of crystallin gene family – CRYAA (rs3788059), CRYAB (rs2070894), CRYBA4 (rs2071861), and CRYBB2 (rs5752083, rs5996863) – were genotyped in 248 participants consisting of 141 congenital cataracts and 107 healthy controls by allele-specific oligonucleotide polymerase chain reaction method. Around 10% of samples for each SNPs were sequenced to confirm the genotypes. The allele, genotype, and haplotype frequency were evaluated by the SHEsis online tool. Results: Using dominant model, the “A” allele of rs3788059 was found to have an increased risk toward congenital cataract development whereas the “G” allele was found to be protective (AA + AG vs. GG; odds ratio [ OR ] 95% confidence interval [CI] = 3.73 [1.71, 8.15], P = 0.0009). The “A” allele of both rs2070894 (AA + AG vs. GG; OR [95% CI] = 0.49 [0.29, 0.84], P = 0.012) and rs5752083 (AA + AC vs. CC; OR [95% CI] = 0.25 [0.08, 0.76], P = 0.016) were suggested to have a protective role by the dominant model. The A-C-T haplotype (rs2071861, rs5752083, and rs5996863) was found to be a significant risk factor for the development of congenital cataract. Conclusion: Intronic SNPs in crystallin genes may play a role in the predisposition toward congenital cataract. However, the present findings need to be replicated in a large cohort with more number of samples.

No abstract

De novo emergence of genes is the most fundamental form of genetic diversity that is attracting the attention of the scientific community. Identification of short open reading frames (sORFs) from the non-coding regions of different genomes has been leading this thought recently. The coding potential of these newly identified sORFs have been investigated through experimental and computational approaches in recent studies. In the present work we have tried to make peptides from intergenic sequences of D. melanogaster genome leading to therapeutic applications. Towards this goal of making novel peptides from non-coding genome, we have found strong computational evidence of 145 peptides with conformational stability from the intergenic sequences of D. melanogaster. The structure of these completely unique peptides was predicted using ab initio method. The function annotation of these peptides was carried out using this structural information. The newly generated proteins were categorised as DNA/Protein/ion binding proteins, electron transporters and a very few as enzymes too. Experimental studies can certainly provide validations to these preliminary findings. This work provides further evidence of untapped potential of non-coding genome.