Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comparative analysis of four disease prediction models of Parkinson's disease.

Molecular and cellular biochemistry - 1 Jan 2016

Kumudini Nadella, Naushad Shaik Mohammad, Alex Stanley Balraj, Niveditha Manoharan, Sharmila Gunasekaran, Kumaraswami Konda, Borghain Rupam, Mridula Rukmini, Kutala Vijay Kumar

Abstract excerpt

Parkinson's disease (PD) is a multi-factorial disorder with high-penetrant mutations accounting for small percentage of PD. Our previous studies demonstrated individual association of genetic variants in folate, xenobiotic, and dopamine metabolic pathways with PD risk. The rational of the study was to develop a risk prediction model for PD using these genetic polymorphisms along with synuclein (SNCA)...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Case-Control Studies
Share to MTRR gene

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to SNCA gene

Share to Models, Genetic

Share to Neural Networks, Computer

Share to Parkinson Disease

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 26438087
DOI: 10.1007/s11010-015-2574-0

Genes

SNCA
MTRR

Variants

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparative analysis of four disease prediction models of Parkinson's disease.PMID 26438087Read ↗

Polygenic risk score-based prediction for Parkinson’s diseaseSemantic proximity Read ↗

Risk prediction for complex diseases: application to Parkinson disease.Semantic proximity Read ↗

WITHDRAWN: Screening and identification of the potential diagnostic genes for Parkinson's Disease based on Machine Learning algorithmSemantic proximity Read ↗

Interaction between SNCA gene polymorphisms and T2DM with Parkinson's disease.Semantic proximity Read ↗

Clinical and Clinical-Pharmacogenetic Models for Prediction of the Most Common Psychiatric Complications Due to Dopaminergic Treatment in Parkinson's Disease.Semantic proximity Read ↗

Evaluation of the PREDIGT Score in Discriminating Parkinson Disease from Neurological HealthSemantic proximity Read ↗

Prediction of Parkinson's Disease Risk Based on Genetic Profile and Established Risk Factors.Semantic proximity Read ↗

Parkinson’s Disease Pharmacogenomics: New Findings and PerspectivesSemantic proximity Read ↗

Modelling idiopathic Parkinson disease as a complex illness can inform incidence rate in healthy adults: the PR EDIGT score.Semantic proximity Read ↗

A Systematic Review of Parkinson's Disease Pharmacogenomics: Is There Time for Translation into the Clinics?Semantic proximity Read ↗

Parkinson's Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort.Semantic proximity Read ↗

Identification and Validation of N-Acetylputrescine in Combination With Non-Canonical Clinical Features As a Parkinson’s Disease Biomarker PanelSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.