Alastair John Noyce

The paper identifies novel cross-trait associations using polytranscriptomic scores in Parkinson's disease and improves prediction models with multi-PTS integration.

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 the association between COMT genetic variants and Parkinson's disease risk across diverse ancestries but finds no significant enrichment of COMT risk alleles in PD patients after multiple testing correction.

This paper analyzes genetic variation in Parkinson's disease across multiple ancestries, revealing ancestry-specific patterns and highlighting the importance of diverse populations in genetic research.

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

This study identifies genetic correlations between hyposmia and Parkinson's disease, finding a strong causal link from PD to hyposmia but weaker evidence for the reverse.

This paper surveys global perspectives on returning genetic research results in Parkinson's disease, finding disparities in access, training, and policy practices across countries.

This study assesses genetic variation in Alzheimer's and Parkinson's diseases across ancestries, finding distinct population attributable risks for different loci.

The paper investigates the association between the non-coding GBA1 rs3115534 variant and REM sleep behavior disorder in Nigerians with Parkinson's disease.

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

This study investigates the genetic and genomic links between NBIA and PD, finding no strong association and suggesting they may be distinct conditions.

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 uses machine learning to identify Parkinson's disease subtypes and predict progression in two cohorts, finding three subtypes with distinct progression rates and high prediction accuracy.

This paper reviews the lack of diversity in Parkinson's disease genetics research, highlighting underrepresentation of non-European populations and the need for more inclusive studies.

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

This study investigates gene-environment interactions in Multiple Sclerosis using UK Biobank data, finding significant interaction between childhood obesity and genetic risk.

This study investigates sex-specific genetic factors in Parkinson's disease using GWAS but finds no significant genetic differences between male and female cases.

The paper identifies human-lineage-specific genomic elements, called CNCRs, and shows their enrichment in neurological disease genes and APOE intron-3 retention transcripts in Alzheimer's disease.

The paper analyzes rare SNCA variation in the UK Biobank cohort, identifying copy number variants but no pathogenic missense variants or PD cases among carriers.

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.

The paper investigates environmental and genetic risk factors for Parkinson's disease using UK Biobank data, showing gene-environment interactions and improved prediction with polygenic risk scores.

The paper identifies pathway-specific polygenic risk factors and transcriptomic networks associated with Parkinson disease using large-scale genetic and expression data.

This study identifies cell-type-specific expression of dystonia-associated genes and links them to shared genetic and biological mechanisms with psychiatric disorders.

The paper identifies disease-relevant regulatory loci in human basal ganglia using genomic and transcriptomic data from 117 brains, highlighting splicing eQTLs and ASE analyses as sources of cell-specific regulatory information.

This paper uses summary-data-based Mendelian randomisation to identify druggable genetic targets for multiple sclerosis, finding 15 genes with causal links between methylation, expression, and disease susceptibility.

Across 37,688 Parkinson's cases, 18,618 proxy-cases and 1.4M controls, 90 risk signals map to 78 loci (37 new); an 1805-variant polygenic score explains 26-36% of heritability.

This paper applies Mendelian randomization to identify causal factors for Parkinson's disease using 5,839 exposures and reports twelve causal associations, including adiposity.

The paper identifies genetic modifiers of risk and age at onset in GBA-associated Parkinson disease and Lewy body dementia using large case-control datasets and genome-wide association studies.

The paper introduces a new parameter, VS, to detect bradykinesia in Parkinson's disease patients using the BRAIN tap test and validates its reliability across different hardware platforms.

The paper evaluates abbreviated versions of the UPSIT smell test to detect hyposmia, finding that a 4-item test outperforms existing shorter versions in sensitivity and specificity.