Safety monitoring of local anaesthetic drugs from the perspective of Pharmacovigilance Programme of India.

Pharmacovigilance Programme of India (PvPI) was established to promote patient safety by the Ministry of Health and Family Welfare, Government of India in July 2010. It covers various medical hospitals/institutes and National Health Programmes across the country. India is coordinating with various national and international programmes to be a part of international drug monitoring and to monitor the risk-benefit profile of medicines. At present, India has contributed more than 200,000 adverse drug reactions (ADRs) to the database and can draw signals for regulatory decisions. To foster the culture of spontaneous reporting, India has launched paperless and simple modes of reporting ADRs such as Helpline and an Android application. This will help to create a national centre of excellence at par with global drug safety monitoring standards. With the increasing popularity of regional anaesthesia, adverse events may occur due to local anaesthetic drugs, techniques and adjuvants. Uncommon but clinically significant ADRs can be identified in a nationwide pharmacovigilance programme. Anaesthesiologists in India are encouraged to report local anaesthesia-related ADRs to the national pharmacovigilance database.

Veterinary pharmacovigilance in India: A need of hour.

Veterinary pharmacovigilance (PV) is important for the Medicine which are used for treating disease in animals. It becomes more important when these animals are further used for producing food. Adverse drug reactions (ADRs) have a direct impact on animals and indirect impact on human beings, for example, through milk products, other animal producing food products. Currently, PV program of India is playing a vital role in assessing the safety of medicines in Indian Population. The safety of medicine in animals can be assessed by veterinary PV. The research institutes involved in animal research and veterinary hospitals can be considered as ADR monitoring centers to assess the safety of medicines on animals.

Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms.

To gain insight into potential regulatory mechanisms through which the effects of variants at four established type 2 diabetes (T2D) susceptibility loci (CDKAL1, CDKN2A-B, IGF2BP2 and KCNQ1) are mediated, we undertook transancestral fine-mapping in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent. Through high-density imputation and conditional analyses, we identified seven distinct association signals at these four loci, each with allelic effects on T2D susceptibility that were homogenous across ancestry groups. By leveraging differences in the structure of linkage disequilibrium between diverse populations, and increased sample size, we localised the variants most likely to drive each distinct association signal. We demonstrated that integration of these genetic fine-mapping data with genomic annotation can highlight potential causal regulatory elements in T2D-relevant tissues. These analyses provide insight into the mechanisms through which T2D association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci.

Common Variants in CLDN2 and MORC4 Genes Confer Disease Susceptibility in Patients with Chronic Pancreatitis.

A recent genome-wide association study (GWAS) identified association with variants in X-linked CLDN2 and MORC4, and PRSS1-PRSS2 loci with chronic pancreatitis (CP) in North American patients of European ancestry. We selected 9 variants from the reported GWAS and replicated the association with CP in Indian patients by genotyping 1807 unrelated Indians of Indo-European ethnicity, including 519 patients with CP and 1288 controls. The etiology of CP was idiopathic in 83.62% and alcoholic in 16.38% of 519 patients. Our study confirmed a significant association of 2 variants in CLDN2 gene (rs4409525-OR 1.71, P = 1.38 x 10-09; rs12008279-OR 1.56, P = 1.53 x 10-04) and 2 variants in MORC4 gene (rs12688220-OR 1.72, P = 9.20 x 10-09; rs6622126-OR 1.75, P = 4.04x10-05) in Indian patients with CP. We also found significant association at PRSS1-PRSS2 locus (OR 0.60; P = 9.92 x 10-06) and SAMD12-TNFRSF11B (OR 0.49, 95% CI [0.31-0.78], P = 0.0027). A variant in the gene MORC4 (rs12688220) showed significant interaction with alcohol (OR for homozygous and heterozygous risk allele -14.62 and 1.51 respectively, P = 0.0068) suggesting gene-environment interaction. A combined analysis of the genes CLDN2 and MORC4 based on an effective risk allele score revealed a higher percentage of individuals homozygous for the risk allele in CP cases with 5.09 fold enhanced risk in individuals with 7 or more effective risk alleles compared with individuals with 3 or less risk alleles (P = 1.88 x 10-14). Genetic variants in CLDN2 and MORC4 genes were associated with CP in Indian patients.

Best Practices for Improving the Quality of Individual Case Safety Reports in Pharmacovigilance.

BACKGROUND: The quality of individual case safety reports (ICSRs) plays a vital role in identifying new safety signals in pharmacovigilance. This article focuses on establishing a method for ensuring the quality data. OBJECTIVE: To develop an in-house method for assessing the documentation grading and completeness score of ICSRs. METHODS: In the proposed method, 16 parameters, from report title to case narrative, are adopted to assess the quality of ICSRs. The in-house method ensures the completeness of the data and enhances the quality of ICSRs. RESULTS: The in-house method was found effective in calculating the completeness score of ICSR ranges from 0.05 to 1. Indian ICSR completeness scores significantly improved after the implementation of the proposed method in the third quarter of 2013. In 2014 and until the third quarter of 2015, the score was found to be 0.91 and 0.93 out of 1, respectively. CONCLUSION: The higher quality ICSRs aids in more effective identification of new drug safety alerts and provides evidence-based information for regulating the drug safety.

Genetic epidemiology of pharmacogenetic variations in CYP2C9, CYP4F2 and VKORC1 genes associated with warfarin dosage in the Indian population.

AIM: Warfarin, a widely used anticoagulant, exhibits large interindividual variability in dose requirements. CYP2C9 and VKORC1 polymorphisms in various ethnic groups have been extensively studied as genetic markers associated with variable drug response. However, allele frequencies of these variants have not been assessed in major ethnic groups in the Indian population. MATERIALS & METHODS: To study the functional variants known to affect warfarin dosing, we reanalyzed genotype microarray datasets generated as a part of genome-wide association studies as well as data from the Indian Genome Variation database. We examined data from 2680 individuals across 24 ethnically diverse Indian subpopulations. RESULTS: Allelic distribution of VKORC1 (-1639G>A) showed a greater degree of variation across Indian subpopulations, with frequencies as low as 6.5% in an out-group subpopulation to >70% in Tibeto-Burmans. Risk allele frequency of CYP4F2*3 (V433M) was higher in north Indians (0.30-0.44), as compared with other world populations, such as African-American (0.12), Caucasian (0.34) and Hispanic (0.23). TheVKORC1 variant (-1639A) was shown to be prevalent amongst Tibeto-Burmans, whereas CYP2C9 (R144C, I359L) and CYP4F2 (V433M) variants were observed in considerable variability amongst Indo-Europeans. The frequency of CYP2C9*3 (I359L) in north Indians was found to be higher than in most Asian populations. Furthermore, geographical distribution patterns of these variants in north India showed an increased trend of warfarin extensive metabolizers from the Himalayan to Gangetic region. Combined allele frequency (CYP2C9*3 and CYP4F2*3) data suggest that poor metabolizers varied in the range of 0.38-1.85% in Indo-Europeans. CONCLUSION: Based on genotypic distribution, the majority of the Indian subpopulation might require higher doses for stable anticoagulation, whereas careful assessment is required for Tibeto-Burmans who are expected to have intermediate dose requirement. This is the largest global genetic epidemiological study examining variants associated with warfarin that could potentially be valuable to clinicians in optimizing dosage strategies.

Genome-wide association study for type 2 diabetes in Indians identifies a new susceptibility locus at 2q21.

Indians undergoing socioeconomic and lifestyle transitions will be maximally affected by epidemic of type 2 diabetes (T2D). We conducted a two-stage genome-wide association study of T2D in 12,535 Indians, a less explored but high-risk group. We identified a new type 2 diabetes-associated locus at 2q21, with the lead signal being rs6723108 (odds ratio 1.31; P = 3.32 × 10⁻9). Imputation analysis refined the signal to rs998451 (odds ratio 1.56; P = 6.3 × 10⁻¹²) within TMEM163 that encodes a probable vesicular transporter in nerve terminals. TMEM163 variants also showed association with decreased fasting plasma insulin and homeostatic model assessment of insulin resistance, indicating a plausible effect through impaired insulin secretion. The 2q21 region also harbors RAB3GAP1 and ACMSD; those are involved in neurologic disorders. Forty-nine of 56 previously reported signals showed consistency in direction with similar effect sizes in Indians and previous studies, and 25 of them were also associated (P < 0.05). Known loci and the newly identified 2q21 locus altogether explained 7.65% variance in the risk of T2D in Indians. Our study suggests that common susceptibility variants for T2D are largely the same across populations, but also reveals a population-specific locus and provides further insights into genetic architecture and etiology of T2D.

Strong influence of variants near MC4R on adiposity in children and adults: a cross-sectional study in Indian population.

Common variants near melanocortin 4 receptor (MC4R) gene are shown to be associated with adiposity but have varied effects in different age groups. Among Indians, studies have shown association of these variants with obesity in adults, but their association in children is yet to be confirmed. We evaluated association of rs17782313 and rs12970134 near MC4R with adiposity and related traits in Indians including 1362 children and 4077 adults (consisting of 2049 diabetic and 2028 nondiabetic adult subjects). Both variants rs17782313 and rs12970134 showed strong association with adiposity measures (weight, body mass index and waist circumference) in children (P-range 7.6 × 10(-5)-3.8 × 10(-12)) and nominal association in nondiabetic adults (P-range 0.05-0.003). Effect sizes on adiposity measures in children (ß range 0.22-0.26 Z-score) were ~3-fold higher compared with adults (ß range 0.06-0.08). The minor alleles of both variants showed borderline association (P-range 0.08-0.04) with risk of type 2 diabetes in adults. Meta-analysis of rs12970134 in >12 000 Indian adults corroborated its association with adiposity (P≤2.2 × 10(-9)), homeostasis model assessment-estimated insulin resistance (P=4.0 × 10(-5)) and type 2 diabetes (P=0.003) with only moderate heterogeneity, suggesting similar effect on adult Indians residing in different geographical regions. In conclusion, the study demonstrates association of variants near MC4R with obesity and related traits in Indian children and adults, with higher impact during childhood.

Common variants of homocysteine metabolism pathway genes and risk of type 2 diabetes and related traits in Indians.

Hyperhomocysteinemia, a risk factor for cardiovascular disorder, obesity, and type 2 diabetes, is prevalent among Indians who are at high risk of these metabolic disorders. We evaluated association of common variants of genes involved in homocysteine metabolism or its levels with type 2 diabetes, obesity, and related traits in North Indians. We genotyped 90 variants in initial phase (2.115 subjects) and replicated top signals in an independent sample set (2.085 subjects). The variant MTHFR-rs1801133 was the top signal for association with type 2 diabetes (OR = 0.78 (95% CI = 0.67-0.92), P = 0.003) and was also associated with 2 h postload plasma glucose (P = 0.04), high-density lipoprotein cholesterol (P = 0.004), and total cholesterol (P = 0.01) in control subjects. These associations were neither replicated nor significant after meta-analysis. Studies involving a larger study population and different ethnic groups are required before ruling out the role of these important candidate genes in type 2 diabetes, obesity, and related traits.

Common variants of FTO and the risk of obesity and type 2 diabetes in Indians.

Common variants of fat mass and obesity-associated gene (FTO, fat mass- and obesity-associated gene) have been shown to be associated with obesity and type 2 diabetes in population of European and non-European ethnicity. However, studies in Indian population have provided inconsistent results. Here, we examined association of eight FTO variants (rs1421085, rs8050136, rs9939609, rs9930506, rs1861867, rs9926180, rs2540769 and rs708277) with obesity and type 2 diabetes in 5364 North Indians (2474 type 2 diabetes patients and 2890 non-diabetic controls) in two stages. None of the variants including previously reported intron 1 variants (rs1421085, rs8050136, rs9939609 and rs9930506) showed body mass index (BMI)-dependent/independent association with type 2 diabetes. However, rs1421085, rs8050136 and rs9939609 were associated with obesity status and measures of obesity (BMI, waist circumference and waist-to-hip ratio) in stage 2 and combined study population. Meta-analysis of the two study population results also revealed that rs1421085, rs8050136 and rs9939609 were significantly associated with BMI both under the random- and fixed-effect models (P (random/fixed)=0.02/0.0001, 0.004/0.0006 and 0.01/0.01, respectively). In conclusion, common variants of FTO were associated with obesity, but not with type 2 diabetes in North Indian population.