More, R. P. | bioRxiv Science

bioRxiv2018

INDEX-db: The Indian Exome Reference database (Phase-I)

Deep sequencing based genetic mapping has greatly enhanced the ability to catalog variants with plausible disease association. The bigger challenge now is to ascertain pathological significance to the array of identified variants to specific disease conditions. Differential selection pressure may impact frequency of genetic variations, and thus the detection of association with disease conditions, across populations. To understand the genotype to phenotype correlations, it thus becomes important to first understand the genetic variation spectrum of a population by creating a reference map. In this study, we report the development of phase I of a new database of coding variations, 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 mechanism at the clinical, genetic and cellular level.\n\nDatabase URL: http://indexdb.ncbs.res.in

genomics↗

bioRxiv2018

Exome sequencing in families with severe mental illness identifies novel and rare variants in genes implicated in Mendelian neuropsychiatric syndromes

IntroductionSevere Mental Illnesses (SMI), 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 (NGS) may add to the understanding of genetic architecture of SMIs.\n\nMethodsWe analyzed 32 ill subjects (with diagnosis of Bipolar Disorder, n=26; schizophrenia, n=4; schizoaffective disorder, n=1 schizophrenia like psychosis, n=1) from 8 multiplex families; and 33 healthy individuals by whole exome sequencing. Prioritized variants were selected by a 4-step filtering process, which included deleteriousness by 5 in silico algorithms; sharing within families, absence in the controls and rarity in South Asian sample of Exome Aggregation Consortium.\n\nResultsWe identified a total of 42 unique rare, non-synonymous deleterious variants in this study with an average of 5 variants per family. None of the variants were shared across families, indicating a private mutational profile. Twenty (47.6%) of the variant harboring genes identified in this sample have been previously reported to contribute to the risk of neuropsychiatric syndromes. These include genes which are related to neurodevelopmental processes, or have been implicated in different monogenic syndromes with a severe neurodevelopmental phenotype.\n\nConclusionNGS approaches in family based studies are useful to identify novel and rare variants in genes for complex disorders like SMI. The study further validates the phenotypic burden of rare variants in Mendelian disease genes, indicating pleiotropic effects in the etiology of severe mental illnesses.

neuroscience↗