Chaitanya G. Joshi

The paper presents a comprehensive genomic atlas of Indian populations, identifying novel variants and highlighting genetic diversity and pharmacogenomic implications.

This paper develops a farm distribution model to predict poultry farm locations and sizes in data-scarce regions, showing that spatial clustering increases disease transmission risk.

This study compares DNA metabarcoding, PCR, and HPLC to detect Brahmi adulteration in herbal products, finding varying detection rates across methods.

The paper performs a targeted sequencing study of Alzheimer's Disease genes in a Gujarat cohort, identifying 19 variants associated with AD, though only NOTCH4/rs367398 remains significant after correction.

The paper compares two NGS platforms and four databases for AMR gene analysis, finding CARD identifies the most genes and results are comparable across platforms.

This study identifies mutations in the NTD of the SARS-CoV-2 spike protein in the B.1.617.2 variant that reduce antibody binding and suggest immune evasion.

This study analyzes the genetic structure and diversity of seven Indian buffalo breeds using SNP markers, identifying markers associated with traits but highlighting the need for an indigenous SNP chip.

The paper analyzes SARS-CoV-2 genomes from Gujarat to identify variants associated with mortality and pathogenesis, finding specific mutations linked to increased disease severity.

The paper analyzes the C241T variant of SARS-CoV-2's 5' UTR, showing reduced interaction with host factors MADP1 and hnRNP-1, leading to lower transcription efficiency and potentially lower disease severity.