Rinki Singh

Research interests

  • Interests
    Program Semantics, Object-oriented Programming

Publications

  • 1.50
    Impact points
    Consensus features of CP-MLR and GA in modeling HIV-1 RT inhibitory activity of 4-benzyl/benzoylpyridin-2-one analogues.

    Shreekant Deshpande, Rinki Singh, Mohammad Goodarzi, Seturam B Katti, Yenamandra S Prabhakar

    Journal of enzyme inhibition and medicinal chemistry. 02/2011; 26(5):696-705.

    The HIV-1 reverse transcriptase (RT) inhibitory activity of benzyl/benzoylpyridinones is modeled with molecular features identified in combinatorial protocol in multiple linear regression (CP-MLR) and genetic algorithm (GA). Among the features, nDB and LogP are found to be the most influential descr... [more] The HIV-1 reverse transcriptase (RT) inhibitory activity of benzyl/benzoylpyridinones is modeled with molecular features identified in combinatorial protocol in multiple linear regression (CP-MLR) and genetic algorithm (GA). Among the features, nDB and LogP are found to be the most influential descriptors to modulate the activity. Although the coefficient of nDB suggested in favor of benzylpyridinones skeleton, the coefficient of LogP suggested the favorability of hydrophilic nature in compounds for better activity. The partial least squares analysis of the descriptors common to CP-MLR and GA has displayed their predictivity over the total descriptors identified in both the approaches. The back-propagation artificial neural networks model from the five most significant common descriptors (nDB, T(O..O), MATS8e, LogP, and BELp4) has explained 93.2% variance in the HIV-1 RT activity of the training set compounds and showed a test set r(2) of 0.89. The results suggest that the descriptors have the ability to identify the patterns in the compounds to predict potential analogues.
  • 2.48
    Impact points
    The long-term retention of pregabalin in a large cohort of patients with epilepsy at a tertiary referral centre.

    Alan W C Yuen, Rinki Singh, Gail S Bell, Anupam Bhattacharjee, Aidan Neligan, Dominic C Heaney, John S Duncan, Josemir W Sander

    Epilepsy research. 10/2009;

    Pregabalin (PGB) is a new antiepileptic drug (AED) which is a structural, non-functional analogue of gamma-aminobutyric acid. It acts at presynaptic calcium channels to modulate neurotransmitter release in the CNS. While the efficacy and tolerability of PGB have been demonstrated in several randomis... [more] Pregabalin (PGB) is a new antiepileptic drug (AED) which is a structural, non-functional analogue of gamma-aminobutyric acid. It acts at presynaptic calcium channels to modulate neurotransmitter release in the CNS. While the efficacy and tolerability of PGB have been demonstrated in several randomised controlled trials, few studies have addressed long-term outcome in large groups of patients. A cohort of patients attending a tertiary referral centre for epilepsy was identified as having started taking PGB. Patients' data were obtained through medical records. Of 402 patients included, 42% of patients were still taking PGB at last follow-up. The estimated 2.5-year retention rate was 32%. Males appeared more likely to continue on PGB therapy than females. The common adverse experiences (AEs) leading to withdrawal were CNS-related, psychiatric AEs and weight gain. Published retention rates for levetiracetam appear to be higher, and those for gabapentin lower, than the rates estimated for PGB.
  • 18.13
    Impact points
    Multicentre search for genetic susceptibility loci in sporadic epilepsy syndrome and seizure types: a case-control study.

    Gianpiero L Cavalleri, Michael E Weale, Kevin V Shianna, Rinki Singh, John M Lynch, Bronwyn Grinton, Cassandra Szoeke, Kevin Murphy, Peter Kinirons, Deirdre O'Rourke, [......], Terence J O'Brien, Josemir W Sander, John S Duncan, Ingrid E Scheffer, Samuel F Berkovic, Nicholas W Wood, Colin P Doherty, Norman Delanty, Sanjay M Sisodiya, David B Goldstein

    Lancet neurology. 12/2007; 6(11):970-80.

    BACKGROUND: The Epilepsy Genetics (EPIGEN) Consortium was established to undertake genetic mapping analyses with augmented statistical power to detect variants that influence the development and treatment of common forms of epilepsy. METHODS: We examined common variations across 279 prime candidate ... [more] BACKGROUND: The Epilepsy Genetics (EPIGEN) Consortium was established to undertake genetic mapping analyses with augmented statistical power to detect variants that influence the development and treatment of common forms of epilepsy. METHODS: We examined common variations across 279 prime candidate genes in 2717 case and 1118 control samples collected at four independent research centres (in the UK, Ireland, Finland, and Australia). Single nucleotide polymorphism (SNP) and combined set-association analyses were used to examine the contribution of genetic variation in the candidate genes to various forms of epilepsy. FINDINGS: We did not identify clear, indisputable common genetic risk factors that contribute to selected epilepsy subphenotypes across multiple populations. Nor did we identify risk factors for the general all-epilepsy phenotype. However, set-association analysis on the most significant p values, assessed under permutation, suggested the contribution of numerous SNPs to disease predisposition in an apparent population-specific manner. Variations in the genes KCNAB1, GABRR2, KCNMB4, SYN2, and ALDH5A1 were most notable. INTERPRETATION: The underlying genetic component to sporadic epilepsy is clearly complex. Results suggest that many SNPs contribute to disease predisposition in an apparently population-specific manner. However, subtle differences in phenotyping across cohorts, combined with a poor understanding of how the underlying genetic component to epilepsy aligns with current phenotypic classifications, might also account for apparent population-specific genetic risk factors. Variations across five genes warrant further study in independent cohorts to clarify the tentative association.
  • 4.47
    Impact points
    Potential genetic causes of heterogeneity of treatment effects.

    David B Goldstein, Anna C Need, Rinki Singh, Sanjay M Sisodiya

    The American journal of medicine. 04/2007; 120(4 Suppl 1):S21-5.

    Nongenetic biologic and lifestyle-related factors, including age, sex, hepatic/renal function, diet/exercise practices, illness severity, smoking, and alcohol consumption habits can account for the heterogeneity of treatment effects (HTE). However, even when these factors are taken into account, con... [more] Nongenetic biologic and lifestyle-related factors, including age, sex, hepatic/renal function, diet/exercise practices, illness severity, smoking, and alcohol consumption habits can account for the heterogeneity of treatment effects (HTE). However, even when these factors are taken into account, considerable variation remains unexplained and could potentially be attributable to genetic differences between patients. Drug response may be dictated by variation in genes involved in both pharmacokinetic (PK) (absorption, distribution, metabolism, excretion [ADME]) and pharmacodynamic (PD) (receptors, ion channels, enzymes, immune system) pathways. Functional variants of the ADME genes can result in patients being poor, intermediate, efficient, or ultrarapid metabolizers of specific agents, thereby affecting efficacy and/or susceptibility to adverse drug reaction and necessitating individualized dosing. A well-documented example of ADME gene variation is the debrisoquine polymorphism, which is characterized by markedly different metabolism of numerous commonly prescribed drugs based on variants of the cytochrome P450 2D6 gene. Variants of genes regulating PD pathways cause altering of drug target pathways, which may affect efficacy in a more pronounced manner. Examples of gene variants affecting PD pathways include those coding for dopamine metabolism, synthesis, and transport. These gene variants may act independently, in combination with each other, and/or in combination with PK genes to affect drug response, for example to antipsychotic medications. Increased understanding of a patient's genotype and its corresponding effect on drug response would be useful to the practicing clinician in choosing an effective drug and in optimizing the dose in a timely manner.
  • 3.99
    Impact points
    A common polymorphism in the SCN1A gene associates with phenytoin serum levels at maintenance dose.

    Sarah Tate, Rinki Singh, Chin-Chuan Hung, John Tai, Chantal Depondt, Gianpiero Cavalleri, Sanjay Sisodiya, David Goldstein, Horng-Huei Liou

    Pharmacogenetics and genomics. 10/2006; 16(10):721-726.

    OBJECTIVES: A broad range of phenytoin doses is used in clinical practice, with the final 'maintenance' dose normally determined by trial and error. A common functional polymorphism in the SCN1A gene (one of the genes encoding the drug target) has been previously associated with maximum dose... [more] OBJECTIVES: A broad range of phenytoin doses is used in clinical practice, with the final 'maintenance' dose normally determined by trial and error. A common functional polymorphism in the SCN1A gene (one of the genes encoding the drug target) has been previously associated with maximum dose of phenytoin used clinically, and also maximum dose of carbamazepine, another antiepileptic drug with the same drug target. METHODS: We have related variation at the SCN1A IVS5-91 G>A polymorphism to maximum dose and to maintenance dose of phenytoin in 168 patients with epilepsy treated with phenytoin. We also related genotype to phenytoin serum levels at maximum dose and at maintenance dose of phenytoin. We genotyped the polymorphism using an Applied Biosystems Taqman assay. RESULTS: The polymorphism is associated with phenytoin serum concentration at maintenance dose (P=0.03). In a reduced cohort of 71 patients receiving phenytoin monotherapy this association is also significant (P=0.03). Neither association remains significant after Bonferroni correction for multiple testing. CONCLUSIONS: These results are not a replication of the original study. They do, however, support the hypothesis that this polymorphism influences the clinical use of phenytoin. They also demonstrate the utility of using multiple phenotypes in pharmacogenetics studies, particularly when attempting to separate pharmacokinetic and pharmacodynamic effects. As the SCN1A polymorphism affects phenytoin pharmacodynamics, it is particularly useful to obtain data on serum levels in addition to dose because association of a pharmacodynamic variant may be stronger with serum levels than dose as the serum level may eliminate or reduce pharmacokinetic variability.
  • 2.48
    Impact points
    A pharmacogenetic exploration of vigabatrin-induced visual field constriction.

    Peter Kinirons, Gianpiero L Cavalleri, Rinki Singh, Amre Shahwan, James F Acheson, Nicholas W Wood, David B Goldstein, Sanjay M Sisodiya, Colin P Doherty, Norman Delanty

    Epilepsy research. 09/2006; 70(2-3):144-52.

    INTRODUCTION: Use of the antiepileptic drug (AED) vigabatrin is severely limited by irreversible visual field constriction, an adverse reaction to the drug reported in approximately 40% of patients. Given the evidence suggesting an idiosyncratic drug response, we set out to detect genetic variation ... [more] INTRODUCTION: Use of the antiepileptic drug (AED) vigabatrin is severely limited by irreversible visual field constriction, an adverse reaction to the drug reported in approximately 40% of patients. Given the evidence suggesting an idiosyncratic drug response, we set out to detect genetic variation of strong, clinically relevant effect that might guide clinicians in the safe, controlled prescribing of this otherwise usefuldrug. METHODS: Patients with a history of at least 1-year exposure to vigabatrin were enrolled at two independent referral centers. Using Goldmann perimetry, visual fields and the extent of constriction were calculated for each patient. We examined the correlation between the extent of vigabatrin induced visual field constriction and genetic variation across six candidate genes (SLC6A1, SLC6A13, SCL6A11, ABAT, GABRR1 and GABRR2). We availed of HapMap data and used a tagging SNP technique in an effort to efficiently capture all common variation within these genes. We attempted to replicate any positive associations before drawing conclusions from our results. RESULTS: The degree of visual field constriction correlated with three SNPs and one haplotype in a cohort of 73 patients. However we were unable to replicate these findings in a second independent cohort consisting of 58 patients, suggesting the initial results were possibly false positives, or variants of weak effect. CONCLUSION: Common variants of strong, clinically relevant effect do not appear to reside in the candidate genes studied here. This does not rule out the presence of genetic variants of weak effect in these genes, nor of variants of strong effect in other genes.
  • 3.48
    Impact points
    Rapid and sensitive real-time polymerase chain reaction method for detection and quantification of 3243A>G mitochondrial point mutation.

    Rinki Singh, Sian Ellard, Andrew Hattersley, Lorna W Harries

    The Journal of molecular diagnostics : JMD. 06/2006; 8(2):225-30.

    Maternally inherited diabetes and deafness and mitochondrial encephalomyopathy, lactic acidosis with stroke-like episodes result from the 3243A>G mitochondrial point mutation. Current methods to detect the presence of the mutation have limited sensitivity and may lead to potential misclassificati... [more] Maternally inherited diabetes and deafness and mitochondrial encephalomyopathy, lactic acidosis with stroke-like episodes result from the 3243A>G mitochondrial point mutation. Current methods to detect the presence of the mutation have limited sensitivity and may lead to potential misclassification of patients with low levels of heteroplasmy. Here, we describe development and validation of a rapid real-time polymerase chain reaction (PCR) method for detection and quantification of levels of heteroplasmy in a single assay. Standard curve analysis indicated that the sensitivity of detection was less than 0.1%. Time from sample loading to data analysis was 110 minutes. We tested 293 samples including 23 known positives, 40 known negatives, and 230 samples from patients clinically classified as having type 2 diabetes. All positive samples were correctly detected, and of those samples previously quantified, heteroplasmy levels determined using the real-time assay correlated well (r(2) = 0.88 and 0.93) with results from fluorescently labeled PCR-restriction fragment length polymorphism and pyrosequencing methods. Screening of 230 patients classified as having type 2 diabetes revealed one patient with 0.6% heteroplasmy who had previously tested negative by PCR-restriction fragment length polymorphism. Real-time PCR provides rapid simultaneous detection and quantification of the 3243A>G mutation to a detection limit of less than 0.1%, without post-PCR manipulation.
  • 6.72
    Impact points

Following (6)

8
Publications
5
Followers