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Dive into the research topics where Priyadarshi Basu is active.

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Featured researches published by Priyadarshi Basu.


Human Genetics | 2000

Analysis of CAG repeats in SCA1, SCA2, SCA3, SCA6, SCA7 and DRPLA loci in spinocerebellar ataxia patients and distribution of CAG repeats at the SCA1, SCA2 and SCA6 loci in nine ethnic populations of eastern India

Priyadarshi Basu; Biswanath Chattopadhyay; Prasanta K. Gangopadhaya; Subhas C. Mukherjee; Krishna K. Sinha; Shyamal K. Das; Susanta Roychoudhury; Partha P. Majumder; Nitai P. Bhattacharyya

Abstract. To identify various subtypes of spinocerebellar ataxias (SCAs) among 57 unrelated individuals clinically diagnosed as ataxia patients we analysed the SCA1, SCA2, SCA3, SCA6, SCA7 and DRPLA loci for expansion of CAG repeats. We detected CAG repeat expansion in 6 patients (10.5%) at the SCA1 locus. Ten of the 57 patients (17.5%) had CAG repeat expansion at the SCA2 locus, while four had CAG expansion at the SCA3/MJD locus (7%). At the SCA6 locus there was a single patient (1.8%) with 21 CAG repeats. We have not detected any patient with expansion in the SCA7 and DRPLA loci. To test whether the frequencies of the large normal alleles in SCA1, SCA2 and SCA6 loci can reflect some light on prevalence of the subtypes of SCAs we studied the CAG repeat variation in these loci in nine ethnic sub-populations of eastern India from which the patients originated. We report here that the frequency of large normal alleles (>31 CAG repeats) in SCA1 locus to be 0.211 of 394 chromosomes studied. We also report that the frequency of large normal alleles (>22 CAG repeats) at the SCA2 locus is 0.038 while at the SCA6 locus frequency of large normal alleles (>13 repeats) is 0.032. We discussed our data in light of the distribution of normal alleles and prevalence of SCAs in the Japanese and white populations.


Human Genetics | 2001

Haplotype analysis of genomic polymorphisms in and around the myotonic dystrophy locus in diverse populations of India

Priyadarshi Basu; Partha P. Majumder; Susanta Roychoudhury; Nitai P. Bhattacharyya

Abstract. The frequencies of haplotypes based upon the (CTG)n repeat and three other biallelic markers in and around the myotonic dystrophy (DM) locus were estimated in 13 ethnically, linguistically and geographically diverse sub-populations of India. The range of CTG repeats in caste populations was 5–31, while in tribal populations the range was shorter (5–23). Extensive variation in frequencies of large (CTG)n alleles (≥18 repeats) was found in Indian populations. The implications of this finding on DM epidemiology are discussed. Haplotype diversity was found to be very high in most populations. The majority of the Indian DM patients carried a haplotype that is commonly found among DM patients globally; this is the most common haplotype in the class of large (≥18 repeats) CTG alleles. However, one haplotype was found to be present in particularly high frequency in Indian populations; this haplotype was also found among Indian DM patients. This haplotype may be a characteristic of Indian and possibly of other East Asian populations.


Human Mutation | 2000

Molecular anatomy of CTG expansion in myotonin protein kinase gene among myotonic dystrophy patients from eastern India.

Priyadarshi Basu; Prasanta K. Gangopadhaya; Subhas C. Mukherjee; Shyamal K. Das; Krishna K. Sinha; Nitai P. Bhattacharyya

We have studied the CTG repeat sizes in the DMPK gene and six biallelic markers which are in complete linkage disequlibrium with Caucasian DM patients, to identify any common founder haplotype in 30 clinically diagnosed unrelated DM patients from eastern India. Our results revealed that in 27 patients (90%), CTG expansion took place on a DraIII(‐) ‐ HhaI(‐) ‐ Alu(+) ‐ HinfI(+) ‐ Fnu4H I(‐) ‐ TaqI(+) haplotype (haplotype I), similar to what have been published for Caucasoid and other DM patients. However, in three patients (10%), the expansion of CTG repeat was on DraIII(+) ‐ HhaI(+) ‐ Alu(+) ‐ HinfI(‐) ‐ Fnu4H I(+) ‐ TaqI(‐) background (haplotype II), indicating a new haplotype. The distribution of haplotypes in 52 normal individuals of eastern India revealed that percentage of haplotypes I and II were 23.1% and 7.7% respectively in normal chromosomes. Haplotype II is absent among Caucasian DM patients as well as normal individuals indicating that this particular haplotype may be characteristic of the Indian population. Hum Mutat 16:372, 2000.


Acta Neurologica Scandinavica | 2003

Variation of CAG repeats and two intragenic polymorphisms at SCA3 locus among Machado-Joseph disease/SCA3 patients and diverse normal populations from eastern India.

Biswanath Chattopadhyay; Priyadarshi Basu; P. K. Gangopadhyay; S. C. Mukherjee; K. K. Sinha; A. Chakraborty; T. Roy; Susanta Roychoudhury; Partha P. Majumder; Nitai P. Bhattacharyya

Objectives – MJD1/SCA3 is the most common type of spinocerebellar ataxia (SCA) worldwide. To explain the low prevalence of the disease among SCA patients from eastern India, we analysed CAG repeats and two bi‐allelic intragenic markers at SCA3 locus among 412 normal individuals and 10 patients.


Journal of Genetics | 2015

Comparative analyses of genetic risk prediction methods reveal extreme diversity of genetic predisposition to nonalcoholic fatty liver disease (NAFLD) among ethnic populations of India

Ankita Chatterjee; Analabha Basu; Abhijit Chowdhury; Kausik Das; Neeta Sarkar-Roy; Partha P. Majumder; Priyadarshi Basu

Nonalcoholic fatty liver disease (NAFLD) is a distinct pathologic condition characterized by a disease spectrum ranging from simple steatosis to steato-hepatitis, cirrhosis and hepatocellular carcinoma. Prevalence of NAFLD varies in different ethnic groups, ranging from 12% in Chinese to 45% in Hispanics. Among Indian populations, the diversity in prevalence is high, ranging from 9% in rural populations to 32% in urban populations, with geographic differences as well. Here, we wished to find out if this difference is reflected in their genetic makeup. To date, several candidate genes and a few genomewide association studies (GWAS) have been carried out, and many associations between single nucleotide polymorphisms (SNPs) and NAFLD have been observed. In this study, the risk allele frequencies (RAFs) of NAFLD-associated SNPs in 20 Indian ethnic populations (376 individuals) were analysed. We used two different measures for calculating genetic risk scores and compared their performance. The correlation of additive risk scores of NAFLD for three Hapmap populations with their weighted mean prevalence was found to be high (R2=0.93). Later we used this method to compare NAFLD risk among ethnic Indian populations. Based on our observation, the Indian caste populations have high risk scores compared to Caucasians, who are often used as surrogate and similar to Indian caste population in disease gene association studies, and is significantly higher than the Indian tribal populations.


PLOS ONE | 2016

Genetic Association and Gene-Gene Interaction Reveal Genetic Variations in ADH1B, GSTM1 and MnSOD Independently Confer Risk to Alcoholic Liver Diseases in India

Neelanjana Roy; Debanjali Dasgupta; Indranil Mukhopadhyay; Ankita Chatterjee; Kausik Das; Pradip Bhowmik; Soumyajit Das; Priyadarshi Basu; Amal Santra; Simanti Datta; Gopal Krishna Dhali; Abhijit Chowdhury; Soma Banerjee

Genetic susceptibility is an important modifier of clinical outcome and natural history of progression in Alcoholic liver disease (ALD). While the significance of ethnicity in this evolution is very clear, subtle inter-individual genetic variant(s) might be important and thus we investigated those in an Indian population. Fourteen markers were genotyped within two alcohol metabolism genes [Alcohol dehydrogenase (ADH) gene clusters (ADH1B and ADH1C) and Aldehyde dehydrogenase (ALDH2)], one microsomal ethanol oxidizing enzyme cytochrome p450 (CYP2E1) and three oxidative stress response (OSR) genes (MnSOD, GSTT1 and GSTM1) among 490 Bengali individuals (322 ALD and 168 control) from Eastern and North-Eastern India and validation was performed in a new cohort of 150 Bengali patients including 100 ALD and 50 advanced non-alcoholic steatohepatitis (NASH). Out of 14 genetic variants, carriage of 5 genotypes (rs2066701CC in ADH1B, rs1693425TT in ADH1C, rs4880TT in MnSOD and GSTT1/GSTM1 null, p-value <0.05) were noted significantly higher among ALD patients while inter or intra group gene-gene interaction analysis revealed that addition of risk genotype of any OSR gene enhanced the possibility of ALD synergistically. Multiple logistic regression analysis showed independent association of rs2066701CC, rs4880TT and GSTM1 null genotype with ALD while lower frequencies of those genotypes in advanced NASH patients further confirmed their causal relation to ALD. Thus these findings suggest that the three variants of ADH1C, MnSOD and GSTM1 can be used to identify individuals who are at high risk to develop ALD and may be helpful in proper management of Indian alcoholics.


Human Mutation | 1999

Expansion of CTG repeat in myotonin protein kinase gene on Alu(ins)-Hinf1-1 background in a myotonic dystrophy patient from India

Priyadarshi Basu; Prasanta K. Gangopadhaya; Subhas C. Mukherjee; Krishna K. Sinha; Nitai P. Bhattacharyya

To determine the founder of Indian myotonic dystrophy mutation, we have studied the expansion of CTG repeats in myotonin protein kinase gene and two intragenic linked loci Alu(ins) / Alu(del) and G/T intron 9 Hinf1 polymorphism in ten unrelated DM patients from eastern India. Out of these ten patients, reconstruction of haplotype was possible for five patients unambiguously. In the other five cases, haplotype for the normal allele was assumed to be the most common haplotype found in normal individuals from Indian populations. Such analysis showed that in nine cases, the expansion of CTG repeats took place on Alu(ins)‐Hinf1‐2 background indicating common founder with other DM mutation published. However, in one case we observed a different haplotype [Alu(ins)‐Hinf1‐1] which could be a new mutation or due to admixture.


Human Mutation | 1999

Expansion of CTG repeat in myotonin protein kinase gene on Alu(ins)-HinfI-I background in a myotonic dystrophy patient from India. Mutations in brief no. 210. Online.

Priyadarshi Basu; Prasanta K. Gangopadhaya; Murkherjee Sc; Krishna K. Sinha; Nitai P. Bhattacharyya

Marfan Syndrome (MFS) is a connective tissue disease caused by mutations in the fibrillin‐1 (FBN1) gene. Screening for mutations in all the 65 exons of the FBN1 gene in 34 unrelated patients were performed to compare the efficiency of SSCP versus Heteroduplex analysis and to verify if the spectrum of mutations in Brazilian patients is similar to the one previously reported. Fourteen different band shifts were detected by SSCP analysis; among these only 6 were also detected through Heteroduplex analysis, suggesting that SSCP analysis was a more efficient method. Except for one, the molecular alteration was confirmed in the remaining 13 cases by sequencing; five of them were neutral polymorphisms and the eight others are new pathogenic mutations, as follows: 5 missense, one nonsense and two deletions leading to a premature termination codon (PTC). All of them are located in EGF‐like‐calcium binding motifs (EGF‐like‐cb). Our findings reinforce that cysteine substitutions and PTC mutations in the region between exons 24‐32 are more likely not to be associated with the neonatal phenotypes.


Genome Research | 1999

Negligible Male Gene Flow Across Ethnic Boundaries in India, Revealed by Analysis of Y-Chromosomal DNA Polymorphisms

Nitai P. Bhattacharyya; Priyadarshi Basu; Madhusudan Das; Srimanta Pramanik; Rajat Banerjee; Bidyut Roy; Susanta Roychoudhury; Partha P. Majumder


European Journal of Human Genetics | 2000

Analysis of CAG and CCG repeats in Huntingtin gene among HD patients and normal populations of India.

Srimanta Pramanik; Priyadarshi Basu; Prasanta K. Gangopadhaya; Krishna K. Sinha; D K Jha; Sukti Sinha; Shyamal K. Das; Bibek K Maity; Subhas C. Mukherjee; Sushanta Roychoudhuri; Partha P. Majumder; Nitai P. Bhattacharyya

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Nitai P. Bhattacharyya

Saha Institute of Nuclear Physics

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Partha P. Majumder

Indian Statistical Institute

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Susanta Roychoudhury

Indian Institute of Chemical Biology

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Bidyut Roy

Indian Statistical Institute

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Neelanjana Roy

Indian Statistical Institute

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Rajat Banerjee

Indian Institute of Chemical Biology

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Soma Banerjee

Indian Institute of Chemical Biology

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