Publications by authors named "Mike Feolo"

Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.

View Article and Find Full Text PDF
Article Synopsis
  • - The study investigated DNA methylation at CpG sites in 4,126 participants of the Framingham Heart Study, identifying a vast number of mQTL (DNA methylation quantitative trait loci) pairs related to diseases, particularly cardiovascular disease (CVD) risk factors.
  • - Researchers found many CpGs associated with CVD traits, notably linking specific variants to conditions like type 2 diabetes and coronary artery disease through Mendelian randomization analysis, indicating potential causal relationships.
  • - The findings, including connections to COVID-19 severity, are compiled in a comprehensive dataset available on the National Heart, Lung, and Blood Institute's BioData Catalyst for further research on DNA methylation and disease.
View Article and Find Full Text PDF

Rapidly accumulating data from genome-wide association studies (GWASs) and other large-scale studies are most useful when synthesized with existing databases. To address this opportunity, we developed the Phenotype-Genotype Integrator (PheGenI), a user-friendly web interface that integrates various National Center for Biotechnology Information (NCBI) genomic databases with association data from the National Human Genome Research Institute GWAS Catalog and supports downloads of search results. Here, we describe the rationale for and development of this resource.

View Article and Find Full Text PDF

The National Institutes of Health's Mammalian Gene Collection (MGC) project was designed to generate and sequence a publicly accessible cDNA resource containing a complete open reading frame (ORF) for every human and mouse gene. The project initially used a random strategy to select clones from a large number of cDNA libraries from diverse tissues. Candidate clones were chosen based on 5'-EST sequences, and then fully sequenced to high accuracy and analyzed by algorithms developed for this project.

View Article and Find Full Text PDF

Celiac disease (CD) is an autoimmune disease caused by sensitivity to the dietary protein gluten. It has a prevalence of 1 in 250 in the United States. Multiple-case families are common with a risk to siblings from 10-12%.

View Article and Find Full Text PDF