Konstantin A. Senkevich

The paper examines how genetic variants in GALC affect the ratio of glucocerebrosidase to galactosylceramidase activity and its association with Parkinson's disease risk.

This study examines the association between PGK1 variants and Parkinson's disease but finds no evidence of such a link in large cohorts.

The paper investigates the genetic role of SLC25A46 in Parkinson's disease, REM sleep behavior disorder, and Dementia with Lewy Bodies, finding no significant associations.

This study investigates the genetic role of SLC7A11 in Parkinson's Disease using whole-genome sequencing data and finds no association between SLC7A11 variants and PD risk or GCase activity.

The paper investigates the association of MAPT haplotypes H1 and H2 with Parkinson's disease risk across diverse populations using genetic data from multiple cohorts.

This study finds the GBA1 p.E427K variant increases risk for synucleinopathies through a meta-analysis of case-control studies.

The paper integrates machine learning and rare variant burden analysis to identify novel candidate genes for Parkinson's disease.

This study investigates ANO6's role in Parkinson's disease by analyzing common and rare variants across large datasets, finding no strong genetic association.

This study uses Mendelian Randomization to test if TNF pathway genes are genetically linked to Parkinson's disease or RBD, finding no evidence of such a link.

This study investigates how LRRK2 kinase activity affects GCase activity in microglia under inflammatory conditions, finding that LRRK2 variants influence GCase response to interferon gamma.

This study uses Mendelian randomization to find coffee consumption is causally linked to later age-at-onset of Parkinson's disease but not to disease risk or progression.

This study identifies genetic variants associated with glucocerebrosidase activity using GWAS in two cohorts, finding GBA1 variants and a novel association in the GAA locus.

This study investigates the association between G6PD variants and Parkinson's disease across six cohorts and finds no significant links for common or rare variants.

The paper investigates the role of ATP10D and GlcCer in Parkinson's disease, finding ATP10D regulates plasma GlcCer levels but is not involved in PD pathogenesis.

This study investigates the role of cathepsin B in Parkinson's disease by analyzing genetic variants and manipulating catB function in cell models to assess its impact on lysosomal activity and alpha-synuclein clearance.

This study investigates the association between rare SYNJ1 variants and Parkinson's disease, finding an association with both sporadic and early-onset cases.

This study investigates the genetic role of the NLRP3-inflammasome in Parkinson's disease using polygenic risk scores and Mendelian randomization, finding no significant associations.

The paper investigates molecular subtypes in PSP by analyzing tau seeding activity and identifies immune-related pathways associated with disease progression.

The paper uses machine learning to identify candidate genes, variants, and pathways potentially linked to Parkinson's disease from GWAS loci and genomic data.

The paper describes a virtual hackathon event that brought together early career scientists to develop tools for Parkinson's disease research using open science principles.

This study examines the association of NPC1 variants with Parkinson's disease, REM-sleep behavior disorder, and dementia with Lewy bodies in European cohorts and finds no significant associations.

This study fine maps the association between HLA genes and Parkinson's disease in Europeans, identifying specific amino acid variants in HLA-DRB1 that are protective against PD.

This study identifies five RBD risk loci through genome-wide association and finds differential expression of SNCA-AS1 and SCARB2 in brain regions.

The paper examines the association of UQCRC1 variants with Parkinson's disease in Europeans using GWAS and whole-genome sequencing data, finding no significant associations.

This study investigates genetic correlations and causal relationships between Parkinson's disease and various cancers using LDSC and Mendelian randomization, finding shared genetic architecture but no causal links.