Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jaya Singh is active.

Publication


Featured researches published by Jaya Singh.


Journal of Human Genetics | 2016

Detection of high frequency of mutations in a breast and/or ovarian cancer cohort: implications of embracing a multi-gene panel in molecular diagnosis in India

Ashraf U. Mannan; Jaya Singh; Ravikiran Lakshmikeshava; Nishita Thota; Suhasini Singh; T S Sowmya; Avshesh Mishra; Aditi Sinha; Shivani Deshwal; Megha R Soni; Anbukayalvizhi Chandrasekar; Bhargavi Ramesh; Bharat Ramamurthy; Shila Padhi; Payal Manek; Ravi Ramalingam; Suman Kapoor; Mithua Ghosh; Satish Sankaran; Arunabha Ghosh; Vamsi Veeramachaneni; Preveen Ramamoorthy; Ramesh Hariharan; Kalyanasundaram Subramanian

Breast and/or ovarian cancer (BOC) are among the most frequently diagnosed forms of hereditary cancers and leading cause of death in India. This emphasizes on the need for a cost-effective method for early detection of these cancers. We sequenced 141 unrelated patients and families with BOC using the TruSight Cancer panel, which includes 13 genes strongly associated with risk of inherited BOC. Multi-gene sequencing was done on the Illumina MiSeq platform. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. We were able to detect pathogenic mutations in 51 (36.2%) cases, out of which 19 were novel mutations. When we considered familial breast cancer cases only, the detection rate increased to 52%. When cases were stratified based on age of diagnosis into three categories, ⩽40 years, 40–50 years and >50 years, the detection rates were higher in the first two categories (44.4% and 53.4%, respectively) as compared with the third category, in which it was 26.9%. Our study suggests that next-generation sequencing-based multi-gene panels increase the sensitivity of mutation detection and help in identifying patients with a high risk of developing cancer as compared with sequential tests of individual genes.


International Journal of Plant Sciences | 2016

Study of Biological Efficiency and Yield of Oyster Mushroom with Chemical Treatment

Jaya Singh; Saurabh Gupta

Various concentration of nitrogen source, e.g. peptone, few carbon, viz ., maltose and lactose and inorganic chemicals, viz ., MgSO 4 and FeSO 4 (0.5 to 1.0) were screened to determine the most suitable concentration for better yield of Pleurotus sajor-caju , It was found that all the carbon source and inorganic chemicals gave maximum yield and biological efficiency in 0.5 per cent concentration. On that basis maltose and MgSO 4 were proved superior carbon source and inorganic chemical, respectively. Peptone, the semisolid protein as nitrogen source gave maximum yield and biological efficiency in 0.5 per cent concentration.


International Journal of Human Genetics | 2016

Genotype-Phenotype Analysis in an Indian Family Affected with Li-Fraumeni Syndrome-Role of Genetic Counselling

Manjima Chatterjee; Pramod Chinder; Ashraf U. Mannan; M.L. Sheela; Upasana Mukherjee; Sheuli Choudhury; Caroline Lo; Suhasini Singh; Jaya Singh; Diganta Hazarika; Shilpa Prabhudesai; Vaijayanti Gupta; Sateesh S. Kunigal; Shiva Kumar Swamy; Vijay Agrawal; A. Kumar; Mithua Ghosh

Abstract Li-Fraumeni syndrome (LFS) is associated with the high risk of a diverse spectrum of childhood and adult-onset malignancies with a predominance of the soft-tissue sarcomas, osteosarcoma, breast cancer, brain tumor, adrenocortical carcinomas, Wilms tumor, leukaemia and several other LFS-associated cancer types. This paper reports a case of a 43 years male diagnosed with an undifferentiated, high grade sarcoma. Genetic testing by Next Generation Sequencing revealed a heterozygous likely novel pathogenic germline mutation in the TP53 gene (c.323delG; p.Gly108ValfsTer15) in the proband. Post-test genetic counselling referred the family screening and the other eight family members were found to be carrier for the same variant. Thus the researchers have tried to describe the genotype-phenotype correlation for the LFS with the TP53 mutation which may have contributed to the variable phenotypes in the reported family with reduced/ incomplete penetrance. In this paper the researchers have also tried to highlight the cancer genetic counselling to detect an inherited cancer syndrome


Archive | 2014

In-vitro Evaluation of Antimicrobial Activity of Ganoderma lucidum

Jaya Singh; Saurabh Gupta; Sonam Malviya; Bharti Ahrwar


Breast Cancer Research and Treatment | 2018

Screening of over 1000 Indian patients with breast and/or ovarian cancer with a multi-gene panel: prevalence of BRCA1/2 and non-BRCA mutations

Jaya Singh; Nishita Thota; Suhasini Singh; Shila Padhi; P. S. Mohan; Shivani Deshwal; Soumit Sur; Mithua Ghosh; Amit Agarwal; Ramesh Sarin; Rosina Ahmed; Sachin Almel; Basumita Chakraborti; Vinod Raina; Praveen K. DadiReddy; B. K. Smruti; Senthil Rajappa; Chandragouda Dodagoudar; S Aggarwal; Manish Singhal; Ashish Joshi; Rajeev Kumar; A. Kumar; Deepak Mishra; Neeraj Arora; Aarati Karaba; Satish Sankaran; Shanmukh Katragadda; Arunabha Ghosh; Vamsi Veeramachaneni


Molecular Vision | 2016

Next-generation sequencing-based method shows increased mutation detection sensitivity in an Indian retinoblastoma cohort.

Jaya Singh; Avshesh Mishra; Arunachalam Jayamuruga Pandian; Ashwin C. Mallipatna; Vikas Khetan; Sarangapani Sripriya; Suman Kapoor; Smita Agarwal; Satish Sankaran; Shanmukh Katragadda; Vamsi Veeramachaneni; Ramesh Hariharan; Kalyanasundaram Subramanian; Ashraf U. Mannan


International Journal of Plant Sciences | 2016

Preliminary screening of fungal pathogens of water hyacinth (Eichhornia crassipes) for biological management in Jabalpur

Jaya Singh; Saurabh Gupta; Ishwari Prasad Kori; Vivek Agnihotri


Archive | 2015

STUDY ON ANTIMICROBIAL ACTIVITY OF MORINGA OLEIFERA SEED AND ROOT EXTRACT

Saurabh Gupta; Jaya Singh; Deepak Mishra; Nikita Choudhary


Journal of Clinical Oncology | 2015

Screening of an Indian cohort with breast and/or ovarian cancer by a next-generation sequencing-based panel to detect a high frequency of mutations.

Ashraf U. Mannan; Jaya Singh; Rupali Gadkari; Ravikiran Lakshmikeshava; Payal Manek; Ravi Ramalingam; Manasa B.P.; Suman Kapoor; Jamuna Yadhav; Satish Sankaran; Shanmukh Katragadda; Vamsi Veeramachaneni; Preveen Ramamoorthy; Ramesh Hariharan; Kalyanasundaram Subramanian


Archive | 2014

MORINGA OLEIFERA POTENTIALLY A NEW SOURCES OF BIOREMEDIATION FOR WATER POLLUTION

Jaya Singh; Saurabh Gupta; Anupama Gautam; Seema Bhaskar

Collaboration


Dive into the Jaya Singh's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge