Isabelle Cleynen

This study identifies 619 IBD risk signals, resolves 81 high-confidence variants, and prioritizes 664 candidate effector genes using GWAS, eQTL, and exome sequencing.

This paper improves polygenic prediction of nasal shape by using multivariate GWAS, optimized phenotypes, and benchmarked PGS methods, achieving higher variance explained than traditional approaches.

LongBench benchmarks long-read RNA-sequencing technologies using a cross-platform dataset of cancer cell lines, showing high gene-level concordance but reduced transcript-level consistency across platforms.

The paper identifies ten new genes with coding variants linked to Crohn's disease risk using sequencing data from over 30,000 patients and 80,000 controls.

The paper conducts a genome-wide association study (GWAS) on Alzheimer’s disease CSF biomarkers in the EMIF-AD dataset, identifying novel genetic signals and confirming existing associations.

The paper investigates how intestinal inflammation in IBD affects SARS-CoV-2 entry receptors like ACE2, finding opposing regulation in ileum and colon.

This study fine-maps 94 inflammatory bowel disease loci to identify 45 causal variants with high confidence, providing insights into their functional impacts on disease mechanisms.