Petros Drineas B

This study identifies six genome-wide significant risk loci for tic disorders and links genetic risk to specific brain cell types and circuits.

The paper compares genetic effects on disease susceptibility and progression, finding limited overlap and suggesting larger samples or different progression measures are needed.

MaSk-LMM uses matrix sketching to efficiently estimate LMM parameters in GWAS, providing fast and accurate results compared to existing methods.

The paper uses Mendelian randomization to identify causal links between blood biomarkers and subcortical brain structure volumes, finding associations with specific proteins, metabolites, and biological processes.

The paper conducts a PRS-PheWAS analysis of 11 autoimmune disorders using UK Biobank data, identifying 554 significant phenotypic associations and five genetic factors.

This paper introduces a framework to reconstruct SNP allele and genotype frequencies from GWAS summary statistics and presents three applications, showing high performance in power and error control.

This study uses UK Biobank data to analyze genetic and phenotypic connections between depression and other traits, identifying causal relationships and pleiotropic variants.

This paper introduces Patch2Self (P2S), a self-supervised denoising method for diffusion MRI, and its optimized version P2S-sketch, which improves speed and memory usage without sacrificing denoising quality.

ThreSPCA provides a fast and accurate algorithm for sparse PCA, revealing genetic diversity across the world using genotype data.

The paper models genetic diversity in India by integrating geography, language, and social structure, finding language and social factors most influential in shaping genetic patterns.

CluStrat improves population stratification correction in GWAS by using clustering and randomized regression, identifying more true causal variants than PCA-based methods.