@article {45299, title = {Exome sequencing in families with severe mental illness identifies novel and rare variants in genes implicated in Mendelian neuropsychiatric syndromes.}, journal = {Psychiatry Clin Neurosci}, volume = {73}, year = {2019}, month = {2018 Oct 27}, pages = {11-19}, abstract = {

AIM: Severe Mental Illnesses, such as bipolar disorder and schizophrenia, are highly heritable, and have a complex pattern of inheritance. Genome wide association studies detect a part of the heritability, which can be attributed to common genetic variation. Examination of rare variants with Next Generation Sequencing may add to the understanding of genetic architecture of SMIs.

METHODS: We analyzed 32 ill subjects from 8 multiplex families; and 33 healthy individuals by whole exome sequencing. Prioritized variants were selected by a 3-step filtering process, which included deleteriousness by 5 in silico algorithms; sharing within families by affected individuals, rarity in South Asian sample estimated using the Exome Aggregation Consortium data and complete absence of these variants in a control-individuals from the same gene pool.

RESULTS: We identified 42 rare, non-synonymous deleterious variants (~5 per pedigree) in this study. None of the variants were shared across families, indicating a {\textquoteright}private{\textquoteright} mutational profile. Twenty (47.6\%) of the variant harboring genes were previously reported to contribute to the risk of diverse neuropsychiatric syndromes; 9 (21.4\%) of which were of Mendelian inheritance. These included genes carrying novel deleterious variants such as GRM1 gene implicated in Spinocerebellar ataxia 44 and NIPBL gene implicated in Cornelia de Lange syndrome.

CONCLUSION: NGS approaches in family-based studies are useful to identify novel and rare variants in genes for complex disorders like SMI. The findings of the study suggest a potential phenotypic burden of rare variants in Mendelian disease genes, indicating pleiotropic effects in the etiology of SMI. This article is protected by copyright. All rights reserved.

}, issn = {1440-1819}, doi = {10.1111/pcn.12788}, author = {Ganesh, Suhas and Ahmed P, Husayn and Nadella, Ravi Kumar and More, Ravi Prabhakar and Sheshadri, Manasa and Viswanath, Biju and Rao, Mahendra and Jain, Sanjeev and Mukherjee, Odity} } @article {51000, title = {INDEX-db: The Indian Exome Reference Database (Phase I).}, journal = {J Comput Biol}, year = {2019}, month = {2019 Jan 07}, abstract = {

Deep sequencing-based genetic mapping has greatly enhanced the ability to catalog variants with plausible disease association. Confirming how these identified variants contribute to specific disease conditions, across human populations, poses the next challenge. Differential selection pressure may impact the frequency of genetic variations, and thus detection of association with disease conditions, across populations. To understand genotype to phenotype correlations, it thus becomes important to first understand the spectrum of genetic variation within a population by creating a reference map. In this study, we report the development of phase I of a new database of genetic variations called INDian EXome database (INDEX-db), from the Indian population, with an aim to establish a centralized database of integrated information. This could be useful for researchers involved in studying disease mechanisms at clinical, genetic, and cellular levels.

}, issn = {1557-8666}, doi = {10.1089/cmb.2018.0199}, author = {Ahmed P, Husayn and V, Vidhya and More, Ravi Prabhakar and Viswanath, Biju and Jain, Sanjeev and Rao, Mahendra S and Mukherjee, Odity} } @article {49143, title = {Derivation of iPSC lines from two patients with familial Alzheimer{\textquoteright}s disease from India.}, journal = {Stem Cell Res}, volume = {34}, year = {2018}, month = {2018 Dec 19}, pages = {101370}, abstract = {

The current prevalence of diagnosable dementia in India is 1\% of people over 60 years (~3.7 million people), but is estimated to increase significantly, as ~15\% world{\textquoteright}s aged population (\>65 years) would be resident here by 2020 (Shah et al., 2016). While several mutations that pose a familial risk have been identified, the ethnic background may influence disease susceptibility, clinical presentation and treatment response. In this study, we report a detailed characterization of two representative HiPSC lines from a well-characterized dementia cohort from India. Availability of these lines, and associated molecular and clinical information, would be useful in the detailed exploration of the genomic contribution(s) to AD.

}, issn = {1876-7753}, doi = {10.1016/j.scr.2018.101370}, author = {Najar, Ashaq H and Sneha, K M and Ashok, Aparna and Babu, Swathy and Subramaniam, Anand G and Kannan, Ramkrishnan and Viswanath, Biju and Purushottam, Meera and Varghese, Mathew and Parvez, Suhel and Panicker, Mitradas M and Mukherjee, Odity and Jain, Sanjeev} } @article {33717, title = {Discovery biology of neuropsychiatric syndromes (DBNS): a center for integrating clinical medicine and basic science.}, journal = {BMC Psychiatry}, volume = {18}, year = {2018}, month = {2018 Apr 18}, pages = {106}, abstract = {

BACKGROUND: There is emerging evidence that there are shared genetic, environmental and developmental risk factors in psychiatry, that cut across traditional diagnostic boundaries. With this background, the Discovery biology of neuropsychiatric syndromes (DBNS) proposes to recruit patients from five different syndromes (schizophrenia, bipolar disorder, obsessive compulsive disorder, Alzheimer{\textquoteright}s dementia and substance use disorders), identify those with multiple affected relatives, and invite these families to participate in this study. The families will be assessed: 1) To compare neuro-endophenotype measures between patients, first degree relatives (FDR) and healthy controls., 2) To identify cellular phenotypes which differentiate the groups., 3) To examine the longitudinal course of neuro-endophenotype measures., 4) To identify measures which correlate with outcome, and 5) To create a unified digital database and biorepository.

METHODS: The identification of the index participants will occur at well-established specialty clinics. The selected individuals will have a strong family history (with at least another affected FDR) of mental illness. We will also recruit healthy controls without family history of such illness. All recruited individuals (N = 4500) will undergo brief clinical assessments and a blood sample will be drawn for isolation of DNA and peripheral blood mononuclear cells (PBMCs). From among this set, a subset of 1500 individuals (300 families and 300 controls) will be assessed on several additional assessments [detailed clinical assessments, endophenotype measures (neuroimaging- structural and functional, neuropsychology, psychophysics-electroencephalography, functional near infrared spectroscopy, eye movement tracking)], with the intention of conducting repeated measurements every alternate year. PBMCs from this set will be used to generate lymphoblastoid cell lines, and a subset of these would be converted to induced pluripotent stem cell lines and also undergo whole exome sequencing.

DISCUSSION: We hope to identify unique and overlapping brain endophenotypes for major psychiatric syndromes. In a proportion of subjects, we expect these neuro-endophenotypes to progress over time and to predict treatment outcome. Similarly, cellular assays could differentiate cell lines derived from such groups. The repository of biomaterials as well as digital datasets of clinical parameters, will serve as a valuable resource for the broader scientific community who wish to address research questions in the area.

}, issn = {1471-244X}, doi = {10.1186/s12888-018-1674-2}, author = {Viswanath, Biju and Rao, Naren P and Narayanaswamy, Janardhanan C and Sivakumar, Palanimuthu T and Kandasamy, Arun and Kesavan, Muralidharan and Mehta, Urvakhsh Meherwan and Venkatasubramanian, Ganesan and John, John P and Mukherjee, Odity and Purushottam, Meera and Kannan, Ramakrishnan and Mehta, Bhupesh and Kandavel, Thennarasu and Binukumar, B and Saini, Jitender and Jayarajan, Deepak and Shyamsundar, A and Moirangthem, Sydney and Vijay Kumar, K G and Thirthalli, Jagadisha and Chandra, Prabha S and Gangadhar, Bangalore N and Murthy, Pratima and Panicker, Mitradas M and Bhalla, Upinder S and Chattarji, Sumantra and Benegal, Vivek and Varghese, Mathew and Reddy, Janardhan Y C and Raghu, Padinjat and Rao, Mahendra and Jain, Sanjeev} } @article {30436, title = {Mutation burden profile in familial Alzheimer{\textquoteright}s disease cases from India.}, journal = {Neurobiol Aging}, volume = {64}, year = {2018}, month = {2018 Apr}, pages = {158.e7-158.e13}, abstract = {

This study attempts to identify coding risk variants in genes previously implicated in Alzheimer{\textquoteright}s disease (AD) pathways, through whole-exome sequencing of subjects (N\ = 17) with AD, with a positive family history of dementia (familial AD). We attempted to evaluate the mutation burden in genes encoding amyloid precursor protein metabolism and previously linked to risk of dementias. Novel variants were identified in genes involved in amyloid precursor protein metabolism such as PSEN1 (chr 14:73653575, W161C, tgg \> tgT), PLAT (chr 8:42039530,G272R), and SORL1 (chr11:121414373,G601D). The mutation burden assessment of dementia-related genes for all 17 cases revealed 45 variants, which were either shared across subjects, or were present in just the 1 patient. The study shows that the clinical characteristics, and genetic correlates, obtained in this sample are broadly comparable to the other studies that have investigated familial forms of AD. Our study identifies rare deleterious genetic variations, in the coding region of genes involved in amyloid signaling, and other dementia-associated pathways.

}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2017.12.002}, author = {Syama, Adhikarla and Sen, Somdatta and Kota, Lakshmi Narayanan and Viswanath, Biju and Purushottam, Meera and Varghese, Mathew and Jain, Sanjeev and Panicker, Mitradas M and Mukherjee, Odity} } @article {13270, title = {Genotoxic Effects of Culture Media on Human Pluripotent Stem Cells.}, journal = {Sci Rep}, volume = {7}, year = {2017}, month = {2017 Feb 08}, pages = {42222}, abstract = {

Culture conditions play an important role in regulating the genomic integrity of Human Pluripotent Stem Cells (HPSCs). We report that HPSCs cultured in Essential 8 (E8) and mTeSR, two widely used media for feeder-free culturing of HPSCs, had many fold higher levels of ROS and higher mitochondrial potential than cells cultured in Knockout Serum Replacement containing media (KSR). HPSCs also exhibited increased levels of 8-hydroxyguanosine, phospho-histone-H2a.X and p53, as well as increased sensitivity to γ-irradiation in these two media. HPSCs in E8 and mTeSR had increased incidence of changes in their DNA sequence, indicating genotoxic stress, in addition to changes in nucleolar morphology and number. Addition of antioxidants to E8 and mTeSR provided only partial rescue. Our results suggest that it is essential to determine cellular ROS levels in addition to currently used criteria i.e. pluripotency markers, differentiation into all three germ layers and normal karyotype through multiple passages, in designing culture media.

}, issn = {2045-2322}, doi = {10.1038/srep42222}, author = {Prakash Bangalore, Megha and Adhikarla, Syama and Mukherjee, Odity and Panicker, Mitradas M} } @article {1043, title = {C9orf72 mutations may be rare in frontotemporal lobar degeneration patients in India.}, journal = {Amyotroph Lateral Scler Frontotemporal Degener}, year = {2015}, month = {2015 Oct 14}, pages = {1-3}, issn = {2167-9223}, doi = {10.3109/21678421.2015.1074706}, author = {Mukherjee, Odity and Das, Gopal and Sen, Somdutta and Dutt, Aparna and Alladi, Suvarna and Ghosh, Amitabha} } @article {1008, title = {Cellular models to study bipolar disorder: A systematic review.}, journal = {J Affect Disord}, volume = {184}, year = {2015}, month = {2015 Sep 15}, pages = {36-50}, abstract = {

BACKGROUND: There is an emerging interest in the use of cellular models to study psychiatric disorders. We have systematically reviewed the application of cellular models to understand the biological basis of bipolar disorder (BD).

METHOD: Published scientific literature in MEDLINE, PsychINFO and SCOPUS databases were identified with the following search strategy: [(Lymphoblastoid OR Lymphoblast OR Fibroblast OR Pluripotent OR Olfactory epithelium OR Olfactory mucosa) AND (Bipolar disorder OR Lithium OR Valproate OR Mania)]. Studies were included if they had used cell cultures derived from BD patients.

RESULTS: There were 65 articles on lymphoblastoid cell lines, 14 articles on fibroblasts, 4 articles on olfactory neuronal epithelium (ONE) and 2 articles on neurons reprogrammed from induced pluripotent stem cell lines (IPSC). Several parameters have been studied, and the most replicated findings are abnormalities in calcium signaling, endoplasmic reticulum (ER) stress response, mitochondrial oxidative pathway, membrane ion channels, circadian system and apoptosis related genes. These, although present in basal state, seem to be accentuated in the presence of cellular stressors (e.g. oxidative stress--rotenone; ER stress--thapsigargin), and are often reversed with in-vitro lithium.

CONCLUSION: Cellular modeling has proven useful in BD, and potential pathways, especially in cellular resilience related mechanisms have been identified. These findings show consistency with other study designs (genome-wide association, brain-imaging, and post-mortem brain expression). ONE cells and IPSC reprogrammed neurons represent the next generation of cell models in BD. Future studies should focus on family-based study designs and combine cell models with deep sequencing and genetic manipulations.

}, issn = {1573-2517}, doi = {10.1016/j.jad.2015.05.037}, author = {Viswanath, Biju and Jose, Sam P and Squassina, Alessio and Thirthalli, Jagadisha and Purushottam, Meera and Mukherjee, Odity and Vladimirov, Vladimir and Patrinos, George P and Del Zompo, Maria and Jain, Sanjeev} }