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Featured researches published by Uma Mittal.


Human Genetics | 2005

The Indian Genome Variation database (IGVdb): A project overview

Samir K. Brahmachari; Lalji Singh; Abhay Sharma; Mitali Mukerji; Kunal Ray; Susanta Roychoudhury; Giriraj R. Chandak; Kumarasamy Thangaraj; Saman Habib; Devendra Parmar; Partha P. Majumder; Shantanu Sengupta; Dwaipayan Bharadwaj; Debasis Dash; Srikanta Kumar Rath; R. Shankar; Jagmohan Singh; Komal Virdi; Samira Bahl; V. R. Rao; Swapnil Sinha; Ashok K. Singh; Amit Mitra; Shrawan K. Mishra; B. R K Shukla; Qadar Pasha; Souvik Maiti; Amitabh Sharma; Jitender Kumar; Aarif Ahsan

Indian population, comprising of more than a billion people, consists of 4693 communities with several thousands of endogamous groups, 325 functioning languages and 25 scripts. To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders or pharmacogenomics, one needs to understand the diversity and relatedness at the genetic level in such a diverse population. In this backdrop, six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from the Government of India, initiated a network program on predictive medicine using repeats and single nucleotide polymorphisms. The Indian Genome Variation (IGV) consortium aims to provide data on validated SNPs and repeats, both novel and reported, along with gene duplications, in over a thousand genes, in 15,000 individuals drawn from Indian subpopulations. These genes have been selected on the basis of their relevance as functional and positional candidates in many common diseases including genes relevant to pharmacogenomics. This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. This paper reveals the structure of the IGV project highlighting its various aspects like genesis, objectives, strategies for selection of genes, identification of the Indian subpopulations, collection of samples and discovery and validation of genetic markers, data analysis and monitoring as well as the project’s data release policy.Indian population, comprising of more than a billion people, consists of 4693 communities with several thousands of endogamous groups, 325 functioning languages and 25 scripts. To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders or pharmacogenomics, one needs to understand the diversity and relatedness at the genetic level in such a diverse population. In this backdrop, six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from the Government of India, initiated a network program on predictive medicine using repeats and single nucleotide polymorphisms. The Indian Genome Variation (IGV) consortium aims to provide data on validated SNPs and repeats, both novel and reported, along with gene duplications, in over a thousand genes, in 15,000 individuals drawn from Indian subpopulations. These genes have been selected on the basis of their relevance as functional and positional candidates in many common diseases including genes relevant to pharmacogenomics. This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. This paper reveals the structure of the IGV project highlighting its various aspects like genesis, objectives, strategies for selection of genes, identification of the Indian subpopulations, collection of samples and discovery and validation of genetic markers, data analysis and monitoring as well as the project’s data release policy.


Annals of Human Genetics | 2005

Evidence of a common founder for SCA12 in the Indian population.

S. Bahl; K. Virdi; Uma Mittal; M.P. Sachdeva; A.K. Kalla; S. E. Holmes; E. O'Hearn; Russell L. Margolis; S. Jain; Achal Srivastava; Mitali Mukerji

Spinocerebellar ataxia type 12 (SCA12) is an autosomal dominant cerebellar ataxia associated with the expansion of an unstable CAG repeat in the 5′ region of the PPP2R2B gene on chromosome 5q31–5q32. We found that it accounts for ∼16% (20/124) of all the autosomal dominant ataxia cases diagnosed in AIIMS, a major tertiary referral centre in North India. The length of the expanded allele in this population ranges from 51–69 CAG triplets. Interestingly, all the affected families belong to an endogamous population, which originated in the state of Haryana, India. We identified four novel SNPs and a dinucleotide marker spanning ∼137 kb downstream of CAG repeat in the PPP2R2B gene. Analysis of 20 Indian SCA12 families and ethnically matched normal unrelated individuals revealed one haplotype to be significantly associated with the affected alleles (P= 0.000), clearly indicating the presence of a common founder for SCA12 in the Indian population. This haplotype was not shared by the American pedigree with SCA12. Therefore, the SCA12 expansion appears to have originated at least twice.


Annals of Neurology | 2004

Complex phenotypes in an Indian family with homozygous SCA2 mutations

Mona Ragothaman; Nagaraja Sarangmath; Shashi Chaudhary; Vishwamohini Khare; Uma Mittal; Sangeeta Sharma; Sreelatha Komatireddy; Subhabrata Chakrabarti; Mitali Mukerji; Ramesh C. Juyal; B.K. Thelma; Uday B. Muthane

We describe a consanguineous Indian family having spinocerebellar ataxia type 2 (SCA2) expansions with complex phenotypes (early‐onset, dopa‐responsive parkinsonism, ataxia and retinitis pigmentosa). The two probands having homozygous SCA2 mutations presenting with early‐onset dopa‐responsive parkinsonism without ataxia develop dyskinesias within a year of starting levodopa. Their siblings, heterozygous for SCA2 mutations, had retinitis pigmentosa with or without ataxia. Approximately 38% of family members with SCA2 mutations were asymptomatic.


Journal of Human Genetics | 2005

Post-zygotic de novo trinucleotide repeat expansion at spinocerebellar ataxia type 7 locus: evidence from an Indian family

Uma Mittal; Sanghamitra Roy; Satish Jain; Achal Srivastava; Mitali Mukerji

AbstractSpinocerebellar ataxia type 7 (SCA7) is an autosomal dominant cerebellar ataxia caused by CAG repeat expansion. We found expansion at SCA7 locus in only two out of 235 Indian families clinically diagnosed for ataxia. In one of the families, a de novo mutation was observed wherein a paternal allele in intermediate range of 31 CAG repeats expanded to 59 in the offspring leading to the disease. No expanded alleles were observed in the sperm of the transmitting parent by small pool PCR. This suggests that de novo expansion by a pre-zygotic event is unlikely and could be post-zygotic. SCA7 expanded alleles from the two families were present on different genetic backgrounds, indicating multiple origins of the mutation.


Journal of Human Genetics | 2004

SMARCA2 and THAP11: potential candidates for polyglutamine disorders as evidenced from polymorphism and protein-folding simulation studies

Neeraj Pandey; Uma Mittal; Achal Srivastava; Mitali Mukerji

AbstractCAG repeat expansion is the cause of an ever-increasing list of neurodegenerative disorders, especially hereditary ataxias. However, genes responsible for 10-50% of the clinically diagnosed ataxias are still unidentified in different populations. Traditional linkage and repeat expansion-detection based methods complemented with human genome sequence and expression information can now accelerate the pace of identification of putative disease candidates. We have analyzed two CAG repeat containing loci, human SMARCA2 and THAP11, which are expressed in the brain as putative candidates for SCAs, using computational as well as polymorphism scanning approaches. Both loci exhibited features characteristic of genes associated with repeat disorders. These loci are polymorphic with respect to size and interruption pattern in the Indian population. Furthermore, computational analysis of glutamine-stretch embedded domains in the respective proteins predicted these regions to be “natively unfolded” beyond a threshold of 40 glutamines. Comparative genome analysis suggested a stabilizing influence of CAA interspersions in repeat tract in THAP11 but not in SMARCA2. Although repeat expansion could not be detected within these genes in unidentified ataxia patients reported in India, we suggest that these loci be screened in other populations, as there is a wide heterogeneity in the prevalence of these disorders in different populations.


JAMA Neurology | 2005

Founder Haplotype for Machado-Joseph Disease in the Indian Population Novel Insights From History and Polymorphism Studies

Uma Mittal; Achal Srivastava; Satish Jain; Sanjeev Jain; Mitali Mukerji


Human Genetics | 2005

Insights into the mutational history and prevalence of SCA1 in the Indian population through anchored polymorphisms

Uma Mittal; Sangeeta Sharma; Kalladka Dheeraj; Pramod Kr. Pal; Achal Srivastava; Mitali Mukerji


Archive | 2005

Founder haplotype for Machado-Joseph disease in the Indian population

Uma Mittal; Achal Srivastava; Satish Jain; Sanjeev Jain; Mitali Mukerji


Archive | 2012

Hereditary Spinocerebellar Ataxias in India

Mohammed Faruq; Uma Mittal; Achal Srivastava; Mitali Mukerji

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Mitali Mukerji

Institute of Genomics and Integrative Biology

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Achal Srivastava

All India Institute of Medical Sciences

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Satish Jain

All India Institute of Medical Sciences

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Sangeeta Sharma

Council of Scientific and Industrial Research

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Sanjeev Jain

National Institute of Mental Health and Neurosciences

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Aarif Ahsan

Council of Scientific and Industrial Research

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Abhay Sharma

Institute of Genomics and Integrative Biology

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Amit Mitra

Council of Scientific and Industrial Research

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Ashok K. Singh

Council of Scientific and Industrial Research

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