Julien Bryois

The paper identifies unique transcriptional profiles of immature neurons in aged human hippocampus across healthy, Alzheimer's disease, and resilient conditions, linking them to homeostasis and cognitive resilience.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper identifies highly cell-type-specific eQTLs using snRNA-seq data from brain and blood, showing that bulk analyses overestimate eQTL agreement.

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

The paper uses single-cell Mendelian randomisation to identify cell-type specific genetic effects on brain disease and behaviour, revealing 118 genes with causal associations to 16 brain phenotypes.

The paper uses single nuclei RNAseq to identify distinct glial gene expression patterns in MS patients, revealing subgroup-specific pathological processes and suggesting precision medicine approaches.

This study uses single-nucleus and spatial transcriptomics to identify cell type-specific associations with Alzheimer's disease pathology in human temporal cortex and white matter.

This paper introduces launch-dCas9, a machine learning framework to predict guide RNA effects in CRISPR epigenome editing, showing high accuracy and improved gRNA selection.

This study evaluates a cryopreservation protocol for CSF cells, showing it preserves cell composition and transcriptomes effectively, enabling multi-center research.

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

Meta-analysis of 41,917 European-ancestry bipolar disorder cases versus 371,549 controls yields 64 risk loci (33 novel), neuronal and synaptic gene enrichment, and 15 eQTL-prioritized genes.

The paper screens non-coding regulatory elements in human cells to identify those affecting cell fitness and establishes connections between regulatory elements and target genes.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

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 paper conducts GWAS on anxiety traits in the Million Veteran Program, identifying significant genetic loci and demonstrating genetic overlap with depression.

This study identifies genetic loci associated with household income and links them to biological pathways and cognitive ability, showing genetic differences between income and education.

This study identifies schizophrenia genetic associations in East Asian and European populations, finding similar genetic effects across ancestries but highlighting challenges in polygenic risk prediction across groups.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

This study uses conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders, finding some variants with reduced pleiotropy effects.

This study identifies 202 genome-wide significant loci for insomnia using a large sample, linking them to specific brain cell types and pathways.

The paper introduces a Bayesian framework to prioritize risk genes for complex diseases by integrating gene-set information with variant counts, identifying novel epilepsy risk genes and linking them to immune pathways and drug targets.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

This study investigates the shared genetic basis of anorexia nervosa and obsessive-compulsive disorder using a cross-disorder GWAS, finding a significant genetic correlation and associations with psychiatric and metabolic traits.

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

This study conducts a large GWAS meta-analysis of neuroticism, identifying 136 novel genetic loci and 599 genes, with functional insights into brain regions and pathways.

The paper identifies TCF4 binding sites and their association with schizophrenia risk genes, showing TCF4 regulates neural development genes and interacts with SZ-related loci.

The paper maps schizophrenia-associated genomic loci to specific brain cell types using single-cell RNA-sequencing data, finding consistent enrichment in pyramidal cells, medium spiny neurons, and interneurons.