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Biology subjects

Parekh, R. S.

Publications and source records attributed to Parekh, R. S..

2 recordsLinked to original sources

Common risk variants in AHI1 are associated with childhood steroid-sensitive nephrotic syndrome

BackgroundSteroid-sensitive nephrotic syndrome (SSNS) is the most common form of kidney disease in children worldwide. Genome-wide association studies (GWAS) have demonstrated association of SSNS with genetic variation at HLA-DQ/DR and have identified several non-HLA loci that aid in further understanding of disease pathophysiology. We sought to identify additional genetic loci associated with SSNS in children of Sri Lankan and European ancestry. MethodsWe conducted a GWAS in a cohort of Sri Lankan individuals comprising 420 pediatric patients with SSNS and 2339 genetic ancestry matched controls obtained from the UK Biobank. We then performed a trans-ethnic meta-analysis with a previously reported European cohort of 422 pediatric patients and 5642 controls. ResultsOur GWAS confirmed the previously reported association of SSNS with HLA-DR/DQ (rs9271602, p=1.12x10-27, odds ratio[OR]=2.75). Trans-ethnic meta-analysis replicated these findings and identified a novel association at AHI1 (rs2746432, p=2.79x10-8, OR=1.37), which was also replicated in an independent South Asian cohort. AHI1 is implicated in ciliary protein transport and immune dysregulation, with rare variation in this gene contributing to Joubert syndrome type 3. ConclusionsCommon variation in AHI1 confers risk of the development of SSNS in both Sri Lankan and European populations. The association with common variation in AHI1 further supports the role of immune dysregulation in the pathogenesis of SSNS and demonstrates that variation across the allele frequency spectrum in a gene can contribute to disparate monogenic and polygenic diseases. AUTHOR SUMMARYSteroid-sensitive nephrotic syndrome (SSNS) is the most common kidney disease in children worldwide, but the cause of disease is not well understood. Genome-wide association studies (GWAS) in SSNS have shown that genes in the classical HLA region (the human immune centre) and several genes outside of this region are associated with the disease, which has allowed us to further understand the cause of disease. We performed a GWAS of Sri Lankan ancestry that included 420 paediatric patients and 2339 ancestry-matched controls and confirmed association at HLA-DQ/DR with SSNS. We then performed a Sri Lankan-European trans-ethnic meta-analysis and identified a new association with SSNS outside of HLA, in AHI1. This finding further supports the role of immune system involvement in the etiology of SSNS and increases our knowledge of the genetic causes of disease. AHI1 is a gene that can also cause ciliary problems and demonstrates that different genetic variants within the same gene can contribute to both single-gene (Joubert syndrome, a rare disease that causes kidney and neurological problems) and multi-gene diseases (SSNS).

genetics↗

The Dialysis Procedure Triggers Autonomic Imbalance and Cardiac Arrhythmias: Insights from Continuous 14-day ECG Monitoring

BackgroundIn end-stage kidney disease the dialytic cycle relates to the rate of sudden cardiac death. We hypothesized that circadian, dialytic cycles, paroxysmal arrhythmias, and cardiovascular risk factors are associated with periodic changes in heart rate and heart rate variability (HRV) in incident dialysis patients.\n\nMethodsWe conducted a prospective ancillary study of the Predictors of Arrhythmic and Cardiovascular Risk in End Stage Renal Disease cohort (n=28; age 54{+/-}13 y; 57% men; 96% black; 33% with a history of structural heart disease; left ventricular ejection fraction 70{+/-}9%). Continuous ECG monitoring was performed using an ECG patch (Zio Patch, iRhythm) and short-term HRV was measured for three minutes every hour. HRV was measured by root mean square of the successive normal-to-normal intervals (rMSSD), high and low frequency power, Poincare plot, and sample and Renyi entropy.\n\nResultsArrhythmias were detected in 46% (n=13). Non-sustained ventricular tachycardia (VT) was more frequent during dialysis or within 6 hours post-dialysis, as compared to pre-or between-dialysis (63% vs. 37%, P=0.015), whereas supraventricular tachycardia was more frequent pre-/ between-dialysis, as compared to during-/ post-dialysis (84% vs. 16%, P=0.015). In adjusted for cardiovascular disease and its risk factors autoregressive conditional heteroscedasticity panel (ARCH) model, VT events were associated with increased heart rate by 11.2 (95%CI 10.1-12.3) bpm (P<0.0001). During regular dialytic cycle, rMSSD demonstrated significant circadian pattern (Mesor 10.6(0.9-11.2) ms; Amplitude 1.5(1.0-3.1) ms; Peak at 02:01(20:22-03:16) am; P<0.0001), which was abolished on a second day interdialytic extension (adjusted ARCH trend for rMSSD -1.41(-1.67 to -1.15) ms per 24h; P<0.0001).\n\nConclusionCardiac arrhythmias associate with dialytic phase. Regular dialytic schedule preserves physiological circadian rhythm, but the second day without dialysis is characterized by parasympathetic withdrawal and a steady increase in sympathetic predominance.\n\nSubject TermsArrhythmias, Autonomic Nervous System, Electrocardiology (ECG), Treatment.

epidemiology↗