Sonia Savitri Anand

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

The paper develops a DNA methylation score to quantify the impact of maternal smoking on newborn health outcomes in European and South Asian populations, finding consistent associations with smaller birth size and lower birth weight.

This study finds that a type 2 diabetes polygenic risk score is strongly associated with gestational diabetes-related traits in South Asian women, accounting for a significant portion of the population attributable fraction.

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

This study develops polygenic risk scores for gestational diabetes in South Asian women using multi-ethnic summary statistics and validates them in UK Biobank data, finding moderate heritability.

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.