- Dr Kahali’s lab has developed efficient human whole genome sequencing analytical pipeline in Docker container that utilizes significantly less memory in 40% less time.(https://github.com/BratatiKahaliLab/Containerized_WGS_Data_Pipeline)
- The lab has developed a reference genotype imputation panel for the Indian population and demonstrated better imputation accuracy for rare and low frequency biallelic genetic variants.
- The lab has identified significant epistatic interactions influencing human complex traits, such as obesity, that highlight the neuronal influence in the genetic architecture of the trait and metabolic abnormalities characterized by obesity with tissue-specific expression of associated genes in liver, pancreas, and adipose for various allelic combinations.
References :
Sheldon D’Silva, Shreya Chakraborty, Bratati Kahali. Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology. Scientific Reports 12, 7306 (2022).
Sheldon D’Silva, Shreya Chakraborty, Bratati Kahali. Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology. Scientific Reports 12, 7306 (2022).
Last Updated on September 17, 2022
