Is GBA1 T369M not a risk factor for Parkinson's disease in the Swedish population?
Atterling Brolin, K.; Backstrom, D.; Wallenius, J.; Gan-Or, Z.; Puschmann, A.; Hansson, O.; Swanberg, M.
Show abstract
Variants in GBA1 are important genetic risk factors in Parkinsons disease (PD). GBA1 T369M has been linked to an [~]80% increased PD risk but the reports are conflicting and the relevance of GBA1 variants in different populations varies. A lack of association between T369M and PD in the Swedish population was recently reported but needs further validation. We therefore investigated T369M in 1,808 PD patients and 2,183 controls and our results support that T369M is not a risk factor for PD in the Swedish population.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Insights on Genetic and Environmental Factors in Parkinson’s Disease from a regional Swedish Case-Control Cohort 98%
- Rare PSAP variants and possible interaction with GBA in REM sleep behavior disorder 96%
- Slow Motion Analysis of Repetitive Tapping (SMART) test: measuring bradykinesia in recently diagnosed Parkinson’s disease and idiopathic anosmia 95%
Similar papers in this journal
Similar papers in this journal
- Prospective role of PAK6 and 14-3-3 gamma as biomarkers for Parkinson's disease 96%
- Parkinson’s Progression Markers Initiative: A Milestone-Based Strategy to Monitor PD Progression 95%
- Amplification parameters of the alpha-synuclein seed amplification assay on CSF predict the clinical subtype of Parkinson's Disease at 10-year follow-up 94%
Similar papers in this journal
- impaired bed mobility in prediagnostic and de novo Parkinson’s disease 96%
- Asymptomatic carriers of the p.A53T SNCA mutation: data from the PPMI study 95%
- MAPT allele and haplotype frequencies in Nigerian Africans: population distribution and association with Parkinson’s disease risk and age at onset 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.