Hamdi Mbarek

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

The paper develops a polygenic score for dizygotic twinning, showing it explains 1.6% of liability variance and is linked to fertility outcomes and genetic correlations with related conditions.

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 identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

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.

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 identifies C2orf69 deficiency as a cause of a fatal auto-inflammatory syndrome in humans and zebrafish, affecting mitochondrial function and immune/cNS development.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

This study uses genomics to investigate whether vitamin D, omega-3 fatty acids, or their genetic links are causally or genetically associated with major depression, finding no strong evidence for such relationships.

This study identifies genetic effects on birth weight and their impact on cardio-metabolic traits, distinguishing fetal and maternal contributions.

This study uses Mendelian randomization to find a causal link between major depression and alcohol dependence using large genetic datasets.

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.