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A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease

Background: LRRK2 variants have been demonstrated to have distinct distributions in different populations. However, researchers have thus far chosen to focus on relatively few variants, such as R1628P, G2019S, and G2385R. We therefore investigated the relationship between common LRRK2 variants and P...

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Autores principales: Shu, Li, Zhang, Yuan, Sun, Qiying, Pan, Hongxu, Tang, Beisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363667/
https://www.ncbi.nlm.nih.gov/pubmed/30760999
http://dx.doi.org/10.3389/fnagi.2019.00013
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author Shu, Li
Zhang, Yuan
Sun, Qiying
Pan, Hongxu
Tang, Beisha
author_facet Shu, Li
Zhang, Yuan
Sun, Qiying
Pan, Hongxu
Tang, Beisha
author_sort Shu, Li
collection PubMed
description Background: LRRK2 variants have been demonstrated to have distinct distributions in different populations. However, researchers have thus far chosen to focus on relatively few variants, such as R1628P, G2019S, and G2385R. We therefore investigated the relationship between common LRRK2 variants and PD risk in various populations. Methods: Using a set of strict inclusion criteria, six databases were searched, resulting in the selection of 94 articles covering 49,299 cases and 47,319 controls for final pooled analysis and frequency analysis. Subgroup analysis were done for Africans, European/West Asians, Hispanics, East Asians, and mixed populations. Statistical analysis was carried out using the Mantel-Haenszel approach to determine the relationship between common LRRK2 variants and PD risk, with the significance level set at p < 0.05. Results: In the absence of obvious heterogeneities and publication biases among the included studies, we concluded that A419V, R1441C/G/H, R1628P, G2019S, and G2385R were associated with increased PD risk (p: 0.001, 0.0004, < 0.00001, < 0.00001, and < 0.00001, respectively), while R1398H was associated with decreased risk (p: < 0.00001). In East Asian populations, A419V, R1628P, and G2385R increased risk (p: 0.001, < 0.00001, < 0.00001), while R1398H had the opposite effect (p: 0.0005). G2019S increased PD risk in both European/West Asian and mixed populations (p: < 0.00001, < 0.00001), while R1441C/G/H increased risk in European/West Asian populations only (p: 0.0004). Conclusions: We demonstrated that LRRK2 variant distribution is different among various populations, which should inform decisions regarding the development of future genetic screening strategies.
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spelling pubmed-63636672019-02-13 A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease Shu, Li Zhang, Yuan Sun, Qiying Pan, Hongxu Tang, Beisha Front Aging Neurosci Neuroscience Background: LRRK2 variants have been demonstrated to have distinct distributions in different populations. However, researchers have thus far chosen to focus on relatively few variants, such as R1628P, G2019S, and G2385R. We therefore investigated the relationship between common LRRK2 variants and PD risk in various populations. Methods: Using a set of strict inclusion criteria, six databases were searched, resulting in the selection of 94 articles covering 49,299 cases and 47,319 controls for final pooled analysis and frequency analysis. Subgroup analysis were done for Africans, European/West Asians, Hispanics, East Asians, and mixed populations. Statistical analysis was carried out using the Mantel-Haenszel approach to determine the relationship between common LRRK2 variants and PD risk, with the significance level set at p < 0.05. Results: In the absence of obvious heterogeneities and publication biases among the included studies, we concluded that A419V, R1441C/G/H, R1628P, G2019S, and G2385R were associated with increased PD risk (p: 0.001, 0.0004, < 0.00001, < 0.00001, and < 0.00001, respectively), while R1398H was associated with decreased risk (p: < 0.00001). In East Asian populations, A419V, R1628P, and G2385R increased risk (p: 0.001, < 0.00001, < 0.00001), while R1398H had the opposite effect (p: 0.0005). G2019S increased PD risk in both European/West Asian and mixed populations (p: < 0.00001, < 0.00001), while R1441C/G/H increased risk in European/West Asian populations only (p: 0.0004). Conclusions: We demonstrated that LRRK2 variant distribution is different among various populations, which should inform decisions regarding the development of future genetic screening strategies. Frontiers Media S.A. 2019-01-30 /pmc/articles/PMC6363667/ /pubmed/30760999 http://dx.doi.org/10.3389/fnagi.2019.00013 Text en Copyright © 2019 Shu, Zhang, Sun, Pan and Tang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Shu, Li
Zhang, Yuan
Sun, Qiying
Pan, Hongxu
Tang, Beisha
A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title_full A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title_fullStr A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title_full_unstemmed A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title_short A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease
title_sort comprehensive analysis of population differences in lrrk2 variant distribution in parkinson's disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363667/
https://www.ncbi.nlm.nih.gov/pubmed/30760999
http://dx.doi.org/10.3389/fnagi.2019.00013
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