Michael Wainberg

brisc is a multithreaded CPU toolkit for single-cell analysis that is faster and more reproducible than existing tools like Scanpy and Seurat.

This study identifies 26 risk loci for fibromyalgia through a genome-wide association analysis of 2.5 million individuals, revealing genetic links to neural functions and chronic pain disorders.

This study benchmarks GWAS causal gene prioritization methods for drug discovery using 445 diseases, finding the nearest gene method performs as well as more complex approaches.

This study maps the regenerative response to newborn brain injury in mice using spatial transcriptomics, revealing niche-specific changes in cell states, composition, and spatial organization.

The paper examines correlations between task and resting-state brain signatures of sleep, cognition, and depression in over 30,000 individuals, revealing opposing neural patterns associated with insomnia and depression.

BrainRBPedia is a database of 1072 RNA-binding proteins linked to neurodevelopmental disorders, with a machine learning model prioritizing RBPs for autism and intellectual disability.

The paper evaluates 54 polygenic risk scores in long-lived individuals and their offspring, finding lower genetic risk for Alzheimer's, CAD, and lupus, but not for dementia in long-lived individuals.

This paper develops a statistical method to identify gene co-essentiality, creating a genome-wide functional module almanac that predicts functions for 102 uncharacterized genes and validates key findings.

The paper identifies rare protein-altering variants in ANGPTL7 that lower intraocular pressure and reduce glaucoma risk by analyzing genotyping data from UK Biobank and FinnGen.

The paper identifies off-target effects in CRISPR-Cas9 screens for non-coding elements and shows that strict filtering with specificity scores improves the identification of essential regulatory regions.

UK Biobank genetics of 38 blood and urine lab tests yields 1,857 independent loci; combining biomarker and disease polygenic scores improves FinnGen prediction of incident renal failure and alcoholic cirrhosis.

This paper evaluates transcriptome-wide association studies (TWAS) for causal gene prioritization, showing its strengths and limitations in identifying causal genes at GWAS loci.