Michaël E. Belloy

This paper investigates sex differences in genetic liability to modifiable Alzheimer's disease risk factors using polygenic risk scores and Mendelian randomization, finding limited and inconsistent sex-specific associations.

LocusBlend blends linkage disequilibrium colors for up to three index variants in LocusZoom and LocusCompare plots, helping separate independent signals at complex Alzheimer's disease loci.

The paper identifies rare noncoding variants associated with Parkinson's disease using multi-omic data from over 3.3 million nuclei.

This study identifies genetic variants associated with longevity in a Calabrian cohort, finding one genome-wide significant variant and highlighting pathways related to aging.

The paper identifies rare FN1 variants that protect APOEε4 carriers from Alzheimer's disease by modulating extracellular matrix deposition and gliosis.

This paper introduces a method to identify causal variants from genome-wide summary statistics, outperforming existing methods and discovering additional loci for complex traits.

This paper introduces GhostKnockoff, a method to improve causal variant identification in GWAS by increasing statistical power and reducing proxy variants.

This study identifies co-activation patterns (CAPs) in resting-state fMRI as accurate predictors of Alzheimer's disease in aged mice, with spatial features showing near-perfect classification accuracy.

The paper shows that resting brain fluctuations in mice are intrinsically linked to visual response dynamics through quasiperiodic patterns.

This study shows that bottom-up sensory processing in rats reduces activity and functional connectivity in the default mode like network, similar to top-down attention effects in humans.

This study examines how quasi-periodic patterns (QPPs) of low-frequency neural activity contribute to functional connectivity in the brain, showing differences between resting-state and task-performing individuals.