Eladio J. Márquez

The paper investigates the replication of genetic effects on wing shape in Drosophila melanogaster using artificial selection and bulk segregant analysis, finding shared genetic responses but limited replication in natural populations.

This paper demonstrates that multivariate genome-wide association analysis of multiple traits improves power and informativeness compared to univariate analyses, using Drosophila wing shape as an example.

BiFET improves TF footprint enrichment analysis by correcting biases in chromatin accessibility and GC content, increasing power and reducing false positives.

The paper provides multi-genomic maps of the EndoC-βH1 cell model to define gene regulatory programs in human pancreatic β cells and identifies allelic effects on cis-regulatory elements.

The paper profiles chromatin accessibility in human islets from T2D and non-diabetic individuals to identify genetic and disease-associated changes in cis-regulatory element use.

The paper calculates linkage disequilibrium across the Drosophila melanogaster genome and identifies highly correlated SNPs for association studies, revealing patterns related to inversion polymorphisms and genotype-karyotype discrepancies.

This study shows that multivariate GWAS have higher power and lower FDR than univariate analyses when the number of traits matches the true phenotype dimensionality.