George V. Dedoussis

The paper identifies genetic regulators of 184 neuro-related proteins in human plasma and links them to disease traits and drug targets.

This study uses GWAS and Mendelian randomization to show that lower sclerostin levels increase risk of hypertension, type 2 diabetes, myocardial infarction, and atherogenic lipid profiles.

This study investigates the role of cfdp1 in cardiac development using zebrafish, showing its essential function in heart morphology, function, and Wnt signaling during valve development.

A coronary artery disease GWAS of 181,522 cases among 1,165,690 participants yields 241 associations (54 new); an eight-predictor consensus nominates 185 candidate causal genes, 94 with ≥3 predictors.

This study constructs and analyzes a protein-protein interaction network for NAFLD, identifying 77 candidate proteins and validating some through gene expression analysis.

The paper uses whole-genome sequencing to analyze the genetic architecture of 257 cardiometabolic protein biomarkers, identifying 131 sequence variant associations and constructing polygenic scores that explain up to 45% of protein variation.

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

The paper estimates genetic correlations between eating disorder and substance-use-related phenotypes using GWAS data, finding both positive and negative associations.

This study assesses the transferability of lipid loci across African, Asian, and European populations, finding high consistency but also population-specific variations.

This paper calls copy number variants from whole-genome sequencing data of 6,898 individuals using a regression tree-based method, identifying 1,320 CNVs and their potential clinical impact.

This paper uses Mendelian Randomization to show that higher circulating sclerostin levels causally reduce bone mineral density and increase fracture risk.

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 study evaluates very low depth whole genome sequencing for complex trait association studies, showing it can efficiently discover association signals comparable to imputed GWAS chip designs.

The paper performs deep whole genome sequencing on 1,457 individuals to investigate rare variant contributions to cardiometabolic traits, identifying new regulatory variants and gene-trait associations.

This paper estimates narrow-sense heritability using identity-by-descent information in unrelated individuals and finds that IBD-based methods can capture rare variant contributions but are affected by stratification.

This paper uses transcriptomic imputation to identify gene-tissue associations linked to Anorexia Nervosa risk, finding significant links in both brain and metabolic tissues.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.

This study investigates the genetic contributions to gestational weight gain, finding that maternal common variants explain about 20% of variability, while fetal variants have a minor role.