Project description:This dataset comprises over 850 individuals recruited in Uttar Pradesh, India, including cases of rheumatic heart disease based on echocardiographic diagnosis and controls recruited on the basis of normal echocardiograms. For this analysis all available samples were genotyped using the Illumina HumanCore-24 BeadChip platform.
Project description:This case-control study investigated susceptibility to rheumatic heart disease in over 3,000 individuals recruited across eight Oceanian countries. Cases were patients with rheumatic heart disease and controls were members of the general population. In addition to the Illumina HumanCore-24 BeadChip genotyping, a subset of 128 samples were analysed using the higher density Illumina HumanOmniExpressExome BeadChip of which 64 were also analysed using low coverage sequencing with the Illumina HiSeq 4000 platform.
Project description:Rheumatic heart disease (RHD) remains a serious public health problem in developing countries. Atrial fibrillation (AF) is a medical complication of RHD. Although the understanding of disease pathogenesis has advanced in recent years, the key questions need to be addressed. Transfer RNA–derived small RNAs (tsRNAs) are a novel type of short non-coding RNAs that have potential regulatory functions in various physiological and pathological processes. The present study used tsRNAs sequencing to investigate the relationship between RHD and atrial fibrillation (AF). Three paired myocardial papilla were taken from six rheumatic RHD patients with AF (3 cases) or without AF (3 cases) from January 2016 to January 2017 in Xiangya Hospital, Central South University. A total of 219 precisely matched tsRNAs were identified, and 77 tsRNAs (fold change > 2.0 and P < 0.05) were differently changed. Three tsRNAs (AS-tDR-001269, AS-tDR-001363, AS-tDR-006049) were randomly selected and verified by qRT-PCR. The results of qRT-PCR were consistent with tsRNAs sequencing, suggesting the tsRNAs sequencing was reliable. Then bioinformatics analysis indicated that the target genes were abundant in regulation of transcription, DNA binding, intracellular. Most of the genes were predicted to interplay with cytokine-cytokine receptor by KEGG analysis. Our findings uncover the pathological process of AF in RHD through tsRNAs sequencing. This study provides new ideas for future research on elucidating the mechanism of AF in RHD and offers potential new candidates for the treatment and diagnosis of RHD.