Juan Carlos Celedon

eQTM Atlas, an R Shiny resource, curates over 11 million DNA methylation-gene expression associations from eight cohorts and 11 tissues to annotate EWAS CpGs beyond proximity.

The paper identifies DNA-methylation markers at birth and childhood associated with lung function and reveals sex- and genetics-related pathways linked to asthma and lung development.

This paper introduces GENN, a method for multi-omic interactome analysis that improves prediction of biomedical outcomes by learning salient associations in a low-dimensional space.

The paper introduces a supervised learning algorithm for multi-phenotype genomic prediction, showing improved performance in gene expression and DNA methylation analysis and cell type deconvolution.

Methyl-TWAS improves gene expression imputation and TWAS by using long-range DNA methylation markers, outperforming existing methods in nasal epithelium and white blood cells.

The paper validates novel telomere length regulation genes POP5 and KBTBD6 identified through trans-ancestry GWAS using functional experiments in blood cells.

The paper identifies three nasal DNA methylation CpG sites that predict childhood allergic disease with high accuracy, validated across Dutch and US Hispanic children.

The paper identifies VNTRs near SLC9A3 associated with gene expression in CF nasal epithelia and shows their utility in explaining GWAS signals.

The paper introduces a region-based causal mediation analysis method for DNA methylation data, showing improved power for detecting mediated effects compared to single CpG site analysis.

This study identifies 59 sentinel variants and two novel genes associated with telomere length using whole genome sequences from 109,122 trans-ethnic individuals.

The paper identifies methylation-gene expression associations in nasal epithelium from Puerto Rican children with and without asthma, revealing epigenetic regulation of gene expression in atopic asthma.

The paper analyzes de novo mutations in 1,465 genomes to show similar mutation rates across ancestries but reduced rates in the Amish population, with environmental factors possibly influencing mutation rates.

The paper uses gene co-expression networks in whole blood to identify molecular pathways associated with obese asthma, finding four modules linked to obesity and enriched for inflammatory pathways.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

This study identifies pharmacogenetic variants associated with albuterol bronchodilator response in minority children with asthma using whole genome sequencing.