Juan R. González

This study identifies cell type-specific DNA methylation associations with childhood ADHD symptoms using deconvolution and sequencing-based methylation data from peripheral and cord blood.

This study uses sex-stratified GWAS and explainable AI to identify 184 genes associated with T2D subtypes and improve risk detection.

The paper evaluates the differential biological effects of low-dose ionizing radiation on radiosensitive and radioresistant cell lines, finding distinct responses in DNA damage, apoptosis, and gene expression.

This study identifies genetic variants associated with urinary phthalate metabolite levels in children through GWAS and CNV analysis.

This paper identifies 39,749 autosomal cis-eQTMs in children's blood using HELIX data, showing most are near genes and many have genetic variants associated with methylation and expression.

The paper introduces recombClust, a method to detect historic recombination differences in populations, and applies it to identify recombination histories linked to phenotypic traits in humans.

MADloy improves mLOY detection using genotype-array-intensity data, showing better accuracy and statistical power in disease association studies.

This study identifies DNA methylation sites at birth associated with ADHD symptoms later in childhood, but finds no such associations at school age.

This paper identifies DNA methylation sites associated with aggression through a meta-analysis of epigenome-wide studies across different age groups and tissues.

This study identifies genetic loci associated with macronutrient intake and links them to health outcomes using GWAS in over 235,000 individuals.

This paper improves age prediction using Bayesian neural networks on DNA methylation data, achieving higher accuracy than existing methods.

The paper identifies clonal chromosomal mosaicism and loss of chromosome Y as risk factors for severe SARS-CoV-2 outcomes in elderly males.

The paper identifies common polymorphic inversions associated with multiple common diseases and suggests their role in shared genetic susceptibility.

The paper tests if DNA methylation beta-values follow a simplex distribution and recommends regression models based on sample size and data type.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

The paper reanalyzes T2D GWAS data to identify a rare X chromosome variant associated with increased T2D risk in males.

The paper develops a statistical measure to assess the reproducibility of co-expression networks across tissues, finding full agreement between GTEX and BRAINEAC datasets.