Roberto Elosúa

This paper constructs a single-cell atlas of circulating immune cells to understand inflammation across diseases and develops a classifier for inflammatory diseases.

The paper analyzes over 800,000 human genomes to assess penetrance of clinically relevant variants, finding that 95% of pLoF variants in severe diseases have explanations for lack of disease manifestation.

Rare-variant depletion in 1kb windows of 76,156 gnomAD genomes, versus feature-adjusted mutation expectations, marks regulatory elements and outperforms seven alternative scores at flagging functional non-coding variants.

The paper develops a method to infer compound heterozygosity from exome sequencing data, achieving high accuracy in phasing rare variants for recessive disease diagnosis.

The paper identifies 34 DNA methylation CpGs associated with acute myocardial infarction and validates four for coronary and cardiovascular disease, but finds no improvement in predictive capacity over existing models.

This study investigates the impact of heterozygous ABCG5 LoF variants on LDL-C levels and CAD risk, finding a significant association with elevated LDL-C and doubled CAD risk.

The paper evaluates potential drug targets using loss-of-function genetic variants from gnomAD, highlighting the importance of deep curation and targeted recall studies for drug discovery.

From 125,748 exomes and 15,708 genomes, 443,769 high-confidence predicted loss-of-function variants yield LOEUF, a continuous gene intolerance score tracking mouse lethality, cell essentiality, and disease associations.

The paper develops an expression-based annotation metric to improve rare variant interpretation by filtering false-positive loss-of-function variants and identifying pathogenic variants in highly expressed exons.

The paper analyzes loss-of-function variants in LRRK2 across large genomic datasets to assess the safety of partial LRRK2 inhibition as a Parkinson's disease therapy.

The paper systematically studies uORF variants in 15,708 genomes, showing they are under strong negative selection and contribute to disease.

The paper analyzes multi-nucleotide variants (MNVs) in 125,748 exomes and 15,708 genomes, identifying their distribution, mutational origins, and functional implications.

The paper develops a DNA methylation-based risk score for cardiovascular disease and shows it predicts risk independently of traditional factors.

The paper identifies a missense variant in the MARC1 gene associated with protection against cirrhosis and lower liver enzyme and cholesterol levels.

This study identifies 20 novel loci associated with ischemic stroke through an epigenome-wide association study, highlighting methylation changes in pathways like inflammation and lipid metabolism.