Publications by authors named "S Vadlamudi"
Complete characterization of the genetic effects on gene expression is needed to elucidate tissue biology and the etiology of complex traits. In the present study, we analyzed 2,344 subcutaneous adipose tissue samples and identified 34,774 conditionally distinct expression quantitative trait locus (eQTL) signals at 18,476 genes. Over half of eQTL genes exhibited at least two eQTL signals.
View Article and Find Full Text PDFGenome-wide association studies (GWASs) have identified hundreds of risk loci for liver disease and lipid-related metabolic traits, although identifying their target genes and molecular mechanisms remains challenging. We predicted target genes at GWAS signals by integrating them with molecular quantitative trait loci for liver gene expression (eQTL) and liver chromatin accessibility QTL (caQTL). We predicted specific regulatory caQTL variants at four GWAS signals located near EFHD1, LITAF, ZNF329, and GPR180.
View Article and Find Full Text PDFComplete characterization of the genetic effects on gene expression is needed to elucidate tissue biology and the etiology of complex traits. Here, we analyzed 2,344 subcutaneous adipose tissue samples and identified 34K conditionally distinct expression quantitative trait locus (eQTL) signals in 18K genes. Over half of eQTL genes exhibited at least two eQTL signals.
View Article and Find Full Text PDFArticle Synopsis
- Understanding how different gene expressions in fat tissue relate to cardiometabolic diseases can help identify potential health risks.
- Researchers analyzed 859 adipose tissue samples, revealing that specific cell types, like macrophages and adipocytes, influence traits like body mass index (BMI).
- The study found that including both BMI and cell type in analysis models led to the identification of 2,664 significant gene-trait associations, highlighting the need to consider cell diversity in genetic assessments related to metabolism.
Article Synopsis
- Researchers examined genetic factors influencing insulin levels after a glucose challenge in over 55,000 people from different ancestry groups, identifying ten new genetic locations linked to postprandial insulin resistance.
- * They found that many of these loci share genetics with type 2 diabetes, suggesting a common underlying mechanism.
- * The study also highlighted nine candidate genes affecting GLUT4, a key glucose transporter, which plays an important role in glucose uptake during the post-meal state.