Vinicius Tragante

This paper identifies genetic variants associated with amiodarone-induced thyroid dysfunction and shows they improve risk prediction beyond general thyroid disease PRS.

GWASHub is a cloud-based platform for GWAS meta-analysis that automates data handling, QC, and analysis workflows to improve reproducibility and reduce researcher burden.

The paper identifies rare genetic variants associated with birth weight, highlighting genes involved in adipose tissue regulation, placental function, and insulin-like growth factor signaling.

This study identifies 80 genetic loci and 61 effector genes associated with dilated cardiomyopathy through GWAS and integrates transcriptomic data to uncover biological pathways and cellular states involved in the disease.

The paper analyzes whole genome sequences of 150,119 UK Biobank individuals, identifying variants and associations with traits, and provides a haplotype reference panel for imputation.

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

This study evaluates the genetic architecture of sudden cardiac arrest through GWAS and Mendelian randomization, finding genetic correlations with CAD, height, BMI, and electrical instability traits.

This study uses pathway analysis on schizophrenia GWAS data to identify enrichment in synaptic plasticity and neurotransmitter synapse gene sets, supporting a role for postsynaptic signaling in schizophrenia.

This study identifies two new genetic loci associated with aortic valve stenosis through a large genome-wide association study.

This study identifies mutations in RPL3L and MYZAP as risk factors for atrial fibrillation through genome-wide association analysis and functional validation.