Literature DB >> 32873436

Analysis of DNM3 and VAMP4 as genetic modifiers of LRRK2 Parkinson's disease.

Emmeline E Brown1, Cornelis Blauwendraat2, Joanne Trinh3, Mie Rizig1, Mike A Nalls4, Etienne Leveille5, Jennifer A Ruskey5, Hallgeir Jonvik1, Manuela M X Tan1, Sara Bandres-Ciga6, Sharon Hassin-Baer7, Kathrin Brockmann8, Jon Infante9, Eduardo Tolosa10, Mario Ezquerra10, Sawssan Ben Romdhan11, Mustapha Benmahdjoub12, Mohamed Arezki12, Chokri Mhiri12, John Hardy13, Andrew B Singleton2, Roy N Alcalay14, Thomas Gasser15, Donald G Grosset16, Nigel M Williams17, Alan Pittman18, Ziv Gan-Or19, Ruben Fernandez-Santiago10, Alexis Brice20, Suzanne Lesage20, Matthew Farrer21, Nicholas Wood1, Huw R Morris22.   

Abstract

The LRRK2 gene has rare (p.G2019S) and common risk variants for Parkinson's disease (PD). DNM3 has previously been reported as a genetic modifier of the age at onset in PD patients carrying the LRRK2 p.G2019S mutation. We analyzed this effect in a new cohort of LRRK2 p.G2019S heterozygotes (n = 724) and meta-analyzed our data with previously published data (n = 754). VAMP4 is in close proximity to DNM3, and was associated with PD in a recent study, so it is possible that variants in this gene may be important. We also analyzed the effect of VAMP4 rs11578699 on LRRK2 penetrance. Our analysis of DNM3 in previously unpublished data does not show an effect on age at onset in LRRK2 p.G2019S carriers; however, the inter-study heterogeneity may indicate ethnic or population-specific effects of DNM3. There was no evidence for linkage disequilibrium between DNM3 and VAMP4. Analysis of sporadic patients stratified by the risk variant LRRK2 rs10878226 indicates a possible interaction between common variation in LRRK2 and VAMP4 in disease risk.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genetic modifiers; Leucine-rich repeat kinase 2; Parkinsonism; Parkinson’s disease

Mesh:

Substances:

Year:  2020        PMID: 32873436      PMCID: PMC7762821          DOI: 10.1016/j.neurobiolaging.2020.07.002

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  17 in total

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