Chadi Saad

This study identifies genetic variants associated with healthcare costs across multiple systems, finding polygenic influences and large effects from specific loss-of-function variants.

This study investigates genetic factors influencing weight loss from GLP1-RA and bariatric surgery in 10,960 individuals across 9 biobanks, finding no strong genetic associations with GLP1-RA effectiveness but a modest link between BMI polygenic scores and reduced bariatric surgery weight loss.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

The Qatar Genome Program sequenced 6,045 individuals, identifying 88 million variants, including novel ones, and revealed genetic structure and disease-related markers in the Qatari population.

This study compares genomic variations in immune-related genes between Qatari and Italian populations to identify differences in selective pressures.

The paper investigates the association of rare loss-of-function variants in type I IFN immunity genes with severe COVID-19 and finds no significant association.

The paper introduces miRabel, a tool that aggregates results from three miRNA prediction algorithms to improve target prediction accuracy and consistency.