Eirini Marouli

This study performs a genome-wide association study for Long COVID, identifying a significant association with the FOXP4 locus and highlighting the role of pulmonary dysfunction and COVID-19 severity.

This paper uses GANs to generate synthetic thyroid histopathology images, improving model generalizability and performance on minority classes.

This paper uses machine learning to predict atrial fibrillation and ischemic stroke risk using UK Biobank data, finding LightGBM outperforms other models for AF and XGBoost for stroke.

The paper identifies individuals deviating from genetically predicted phenotypes using UK Biobank data and shows they are enriched for rare genetic variants and clinical conditions.

This study identifies 565 genetic loci associated with sitting height ratio (SHR) in two populations, finding distinct genetic signals from height and highlighting ancestry-specific effects.

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

The paper identifies associations between genetically determined COVID-19 susceptibility and increased risk of blood clots in the leg and lung using PheWAS analysis in UK Biobank data.

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.

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 paper uses Mendelian Randomization to show that normal-range TSH levels and Hashimoto's Disease causally affect stroke and CAD risk, mediated through atrial fibrillation and BMI respectively.

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

This paper uses Mendelian Randomisation to show that height reduces coronary artery disease risk independently of BMI, lipid, and blood pressure, but has no direct effect on type 2 diabetes risk after adjusting for BMI.

Meta-analysis of waist-to-hip ratio adjusted for BMI in 694,649 European-ancestry individuals identifies 463 signals in 346 loci, roughly one-third sexually dimorphic and mostly stronger in women.

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.