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Biology subjects

Chakravarthi Kanduri

Publications and source records attributed to Chakravarthi Kanduri.

2 recordsLinked to original sources

Convergent evidence for the molecular basis of musical traits

To obtain aggregate evidence for the molecular basis of musical abilities and the effects of music, we integrated gene-level data from 101 published studies across multiple species including humans, songbirds and several other animals and used a convergent evidence method to prioritize the top candidate genes. Several of the identified top candidate genes like EGR1, FOS, ARC, BDNF and DUSP1 are known to be activity-dependent immediate early genes that respond to sensory and motor stimuli in the brain. Several other top candidate genes like MAPK10, SNCA, ARHGAP24, TET2, UBE2D3, FAM13A and NUDT9 are located on chromosome 4q21-q24, on the candidate genomic region for music abilities in humans. Functional annotation analyses showed the enrichment of genes involved in functions like cognition, learning, memory, neuronal excitation and apoptosis, long-term potentiation and CDK5 signaling pathway. Interestingly, all these biological functions are known to be essential processes underlying learning and memory that are also fundamental for musical abilities including recognition and production of sound. In summary, our study prioritized top candidate genes related to musical traits that are possibly conserved through evolution, as suggested by shared molecular background with other species.

Genetics

GenRank: an R/Bioconductor package for prioritization of candidate genes

SummaryModern high-throughput studies often yield long lists of genes, of which a fraction are of high relevance to the phenotype of interest. To prioritize the candidate genes of complex genetic traits, our R/Bioconductor package GenRank provides methods that are based on convergent evidence obtained from multiple independent evidence layers. The package facilitates an extensible framework that allows a further addition of novel methods for candidate gene prioritization.\n\nAvailability and ImplementationThe methods are implemented in R and available as a package in Bioconductor repository (http://bioconductor.org/packages/GenRank/).\n\nContactchakra.kanduri@gmail.com

Bioinformatics