Viswanathan Mohan

The paper integrates positive selection signatures with genetic data to identify metabolically relevant loci in South Asians, finding the MAPT locus associated with insulin resistance.

The paper identifies ancestry-specific T2D risk variants in South Asian populations through exome-wide association study and functional validation.

This paper conducts a multi-ancestry GWAS to identify genetic loci influencing NLR and develops a PRS to assess its causal association with DR, finding no significant causal link.

This study identifies genetic loci associated with age at diagnosis of T2D in South Indian and European populations, revealing shared and distinct genetic architectures.

This study identifies XBP1 expression in pancreatic islets as a genetic factor associated with poor glycaemic control and increased T2DM risk in South and East Asians, particularly in young non-obese onset diabetes.

iPheGWAS integrates and visualizes GWAS results using hierarchical clustering, offering faster genetic correlation analysis and 3D visualization compared to LDSC.

The paper investigates how an omentin gene polymorphism affects adiponectin levels and cardiometabolic health, finding adiponectin mediates this relationship in Asian Indians.

Sera from 26 BBV152/COVAXIN recipients neutralised the UK variant about as well as a heterologous strain in plaque reduction tests, arguing against escape from vaccine-induced antibodies.

The paper characterizes the genetic structure of South Asian populations, identifies founder effects and high homozygosity, and develops a custom SNP array for genetic studies in the region.

PheGWAS creates a 3D visualization combining GWAS and PheWAS data to explore pleiotropy across phenotypes, identifying loci and genetic correlations.

The paper examines how the effects of BMI-associated SNPs vary across BMI percentiles and finds that 9 out of 37 SNPs show increasing effects with higher BMI.