Publications by authors named "Minali Singh"

Hereditary Sensory and Autonomic Neuropathy Type 1E (HSAN1E) is a rare autosomal dominant neurological disorder due to missense mutations in DNA methyltransferase 1 (DNMT1). To investigate the nature of the dominant effect, we compared methylomes of transgenic R1 and R1 mouse embryonic stem cells (mESCs) overexpressing WT and the mutant mouse proteins respectively, with the R1 (wild-type) cells. In case of R1, 15 out of the 20 imprinting control regions were hypomethylated with transcript level dysregulation of multiple imprinted genes in ESCs and neurons.

View Article and Find Full Text PDF
Article Synopsis
  • The study explores copy number variants (CNVs) as significant genetic factors in schizophrenia, focusing on a South Indian population for the first time.
  • Researchers identified 63 different CNVs in 168 schizophrenia patients and 168 controls, noting a higher presence of medium-sized deletions in patients compared to controls.
  • The findings underscore the need for further research in larger samples and suggest that an integrated approach can enhance the identification of CNVs linked to schizophrenia and other mental health disorders.
View Article and Find Full Text PDF

Data on schizophrenia (SZ), epilepsy (EPD) and bipolar disorders (BPD) suggested an association of DNMT1 overexpression whereas certain variants of the gene were predicted to result in its increased expression in autism spectrum disorder (ASD). In addition, loss of DNMT1 in frontal cortex resulted in behavioral abnormalities in mice. Here we investigated the effects of increased as well as lack of DNMT1 expression using neurons as a model for abnormal neurogenesis and 10,861 genes showing transcript level dysregulation in datasets from the four disorders.

View Article and Find Full Text PDF

Mutations conferring susceptibility to complex disorders also occur in healthy individuals but at significantly lower frequencies than in patients, indicating that these mutations are not completely penetrant. Therefore, it is important to estimate the penetrance or the likelihood of developing a disease in presence of a mutation. Recently, a method to calculate penetrance and its credible intervals was developed on the basis of the Bayesian method and since been used in literature.

View Article and Find Full Text PDF