Literature DB >> 30283330

Clinical Heterogeneity Among LRRK2 Variants in Parkinson's Disease: A Meta-Analysis.

Li Shu1, Yuan Zhang1, Hongxu Pan1, Qian Xu1,2,3, Jifeng Guo1,2,3,4,5,6, Beisha Tang1,2,3,4,5,6,7,8, Qiying Sun2,3,7.   

Abstract

Background: Parkinson's disease (PD) is one of the most common neurodegenerative diseases. Variants in the LRRK2 gene have been shown to be associated with PD. However, the clinical characteristics of LRRK2-related PD are heterogeneous. In our study, we performed a comprehensive pooled analysis of the association between specific LRRK2 variants and clinical features of PD.
Methods: Articles from the Medline, Embase, and Cochrane databases were included in the meta-analysis. Strict inclusion criteria were applied, and detailed information was extracted from the final original articles included. Revman 5.3 software was used for publication biases and pooled and sensitivity analyses.
Results: In all, 66 studies having the clinical manifestations of PD patients with G2019S, G2385R, R1628P, and R1441G were included for the final analysis. The prominent clinical features of LRRK2-G2019S-related PD patients were female sex, higher rates of early-onset PD (EOPD), and family history (OR: 0.77 [male], 1.37, 2.62; p < 0.00001, 0.02, < 0.00001). PD patients with G2019S were more likely to have high scores of Schwab & England (MD: 1.49; p < 0.00001), low GDS scores, high UPSIT scores (MD: 0.43, 4.70; p = 0.01, < 0.00001), and good response to L-dopa (OR: 2.33; p < 0.0001). Further, G2019S carriers had higher LEDD (MD: 115.20; p < 0.00001) and were more likely to develop motor complications, such as dyskinesia and motor fluctuations (OR: 2.18, 2.02; p < 0.00001, 0.04) than non-carriers. G2385R carriers were more likely to have family history (OR: 2.10; p = 0.007) than non-G2385R carriers and lower H-Y and higher MMSE scores (MD: -0.13, 1.02; p = 0.02, 0.0007). G2385R carriers had higher LEDD and tended to develop motor complications, such as motor fluctuations (MD: 53.22, OR: 3.17; p = 0.01, < 0.00001) than non-carriers. Other clinical presentations did not feature G2019S or G2385R. We observed no distinct clinical features for R1628P or R1441G. Our subgroup analyses in different ethnic group for specific variant also presented with relevant clinical characteristics of PD patients. Conclusions: Clinical heterogeneity was observed among LRRK2-associated PD in different variants in total and in different ethnic groups, especially for G2019S and G2385R.

Entities:  

Keywords:  LRRK2; Parkinson's disease; clinical; meta-analysis; phenotype

Year:  2018        PMID: 30283330      PMCID: PMC6156433          DOI: 10.3389/fnagi.2018.00283

Source DB:  PubMed          Journal:  Front Aging Neurosci        ISSN: 1663-4365            Impact factor:   5.750


Introduction

Parkinson's disease (PD) is the second-most common neurodegenerative disease, with major clinical features comprising motor symptoms (MS) and non-motor symptoms (NMS). MS are characterized by four cardinal symptoms: bradykinesia, resting tremor, rigidity, and postural instability. NMS include olfactory dysfunction, constipation, depression, and sleep disturbance (Konno et al., 2018). Levodopa (L-dopa) is a classic treatment for parkinsonism; however, this drug is known to induce motor complications, such as dyskinesia and motor fluctuations that may affect the quality of life of PD patients (Olanow and Stocchi, 2017; Picconi et al., 2017). In recent times, the pathogenesis of PD often remains unclear. Genetic factor, environmental factor and aging all contribute to PD pathogenesis (Liu et al., 2016; Yan et al., 2017; Zhang et al., 2018). Leucine-rich repeat kinase 2 (LRRK2) is considered the most common genetic cause of PD (Paisan-Ruiz, 2009; Guo et al., 2015; Li et al., 2015); an increasing number of studies have focused on the genotype and phenotype analysis of LRRK2 and PD. Whether the clinical features of LRRK2-associated PD differ from those of idiopathic PD (IPD) is still debatable. Some researchers believe that LRRK2-related PD has similar clinical onset features to IPD, such as resting tremor, good response to L-dopa, and a benign clinical course (Orr-Urtreger et al., 2007; Paisan-Ruiz, 2009; Zheng et al., 2015). However, others have reported that LRRK2-related PD has distinct features that differ from those of IPD and vary between different genotypes (Marras et al., 2016). For example, original studies have reported that G2019S carriers are more likely to be women, less likely to develop olfactory dysfunction, and more likely to have dyskinesia and dystonia than non-carriers (Marras et al., 2016). G2385R carriers have been observed to exhibit a tendency toward motor fluctuations and are more likely to have postural instability gait disorder phenotype (Oosterveld et al., 2015). Additionally, some researchers carried out analyses of LRRK2-associated clinical features by combining different variants, without considering the different clinical features among the different variants (Paisan-Ruiz et al., 2013). Considering the heterogeneous risk of LRRK2 variants in PD, it is thus vital to provide evidence, via pooled analysis, to identify specific LRRK2 variants associated with clinical phenotypes. Our previous comprehensive meta-analysis demonstrated the importance of LRRK2 SNPs, such as G2385R, G2019S, R1628P in PD (data unpublished). To further explore the role of LRRK2 SNPs in PD clinical features, here, we conducted a complete analysis of clinical features in specific LRRK2 variants related to PD.

Methods

Literature search

Medline database in PubMed, Embase database in Ovid, and the Cochrane databases were electronically searched by the authors for publications in English. The key words used were “Parkinson*,” “PD,” “LRRK2,” and “PARK8.” The data were assessed online on February 10, 2018. Overlapping articles from different databases were excluded. Two researchers (Li Shu and Yuan Zhang) performed the search independently. In case of disagreements, a third researcher (Qiying Sun) was consulted to arrive at a consensus.

Selection criteria

The PICOS (participants, interventions, controls, outcomes, and study types) principle was applied in the inclusion process. Participants: all PD patients were diagnosed according to widely accepted criteria (Hughes et al., 1992) and carried specific LRRK2 variants. Interventions: genetic analyses were conducted using genomic DNA by PCR-based methods or other accepted methods. Controls: controls were PD patients without specific LRRK2 variants. Outcomes: available data to calculate the number of carriers and non-carriers of the responsive phenotypes. Study types: original case only study, case-control study, or cohort study.

Data extraction

Complete data including first author, publication year, ethnicity, country, gene, variants, numbers of cases, and their responsive clinical features were extracted by two researchers (Li Shu and Yuan Zhang). If there were disputes in the process, a third author was asked to solve the problem (Qiying Sun; Table 1; Supplementary Table 1). The process of data extraction is shown in the flowchart (Figure 1). Briefly, we included studies that defined age at onset ≤ 50 years as early-onset PD (EOPD) and age at onset >50 years as late-onset PD (LOPD).
Table 1

The publications included for phenotype analysis.

ReferencesEthnicityCountryVariantsNo. patients
Bras et al., 2005European/West AsiansPortugalG2019S128
Lesage et al., 2006AfricansNorth AfricaG2019S106
Gaig et al., 2006European/West AsiansSpainG2019S302
Di Fonzo et al., 2006East AsiansChinaG2385R608
Goldwurm et al., 2006European/West AsiansItalyG2019S1,092
Kay et al., 2006MixedAmericaG2019S1,518
Clark et al., 2006MixedAmericaG2019S504
Ishihara et al., 2007AfricansTunisG2019S201
Fung et al., 2006East AsiansTaiwanG2385R305
Farrer et al., 2007East AsiansTaiwanG2385R410
Tan et al., 2007East AsiansSingaporeG2385R62
Funayama et al., 2007East AsiansJapanG2385R448
Orr-Urtreger et al., 2007European/West AsiansIsraelG2019S344
Li et al., 2007East AsiansChinaG2385R235
An et al., 2008East AsiansChinaG2385R600
Gan-Or et al., 2008European/West AsiansIsraelG2019S128
Chan et al., 2008East AsiansChinaG2385R34
Hulihan et al., 2008AfricansTunisG2019S238
Pankratz et al., 2008MixedNorth AmericaG2019S840
Mata et al., 2009HispanicsPeru,UruguayG2019S,R1441C360
Lesage et al., 2008AfricansNorth AfricaG2019S136
Latourelle et al., 2008MixedAmericaG2019S,R1441C1,025
Gan-Or et al., 2008European/West AsiansIsrealG2019S477
Zhang et al., 2009East AsiansChinaR1628P600
Yu et al., 2009East AsiansChinaR1628P328
Kim et al., 2010East AsiansKoreaG2385R923
Alcalay et al., 2009MixedAmericaG2019S691
Belarbi et al., 2010AfricansAlgeriaG2019S106
Shanker et al., 2011European/West AsiansIsrealG2019S42
Hashad et al., 2011AfricansEgyptG2019S113
Saunders-Pullman et al., 2011aMixedIsrael and AmericaG2019S61
Marras et al., 2011MixedCanada, Germany and BrazilG2019S109
Ben Sassi et al., 2012AfricansTunisG2019S110
Yahalom et al., 2012European/West AsiansIsraelG2019S349
Yan et al., 2012East AsiansChinaG2385R354
Fu et al., 2013East AsiansChinaG2385R, R1628P446
Sierra et al., 2013European/West AsiansSpainG2019S79
Gatto et al., 2013HispanicsArgentinaG2019S55
Cai et al., 2013East AsiansChinaG2385R, R1628P510
Tijero et al., 2013European/West AsiansSpainG2019S, R1441C19
Greenbaum et al., 2013European/West AsiansIsraelG2019S39
Gao et al., 2013East AsiansChinaG2385R175
Mirelman et al., 2013European/West AsiansIsraelG2019S100
Alcalay et al., 2013MixedIsrael and AmericaG2019S488
Trinh et al., 2014AfricansTunisG2019S570
Yahalom et al., 2014European/West AsiansIsraelG2019S405
Pulkes et al., 2014East AsiansThailandR1628P485
Estanga et al., 2014European/West AsiansSpainR1441G60
Gaig et al., 2014European/West AsiansSpainG2019S66
Alcalay et al., 2015MixedMJFF centerG2019S236
Nabli et al., 2015AfricansTunisG2019S58
Saunders-Pullman et al., 2014MixedAmerica or IsraelG2019S252
Somme et al., 2015European/West AsiansSpainG2019S, R1441C54
Marder et al., 2015MixedMJFF centerG2019S474
Vilas et al., 2015European/West AsiansSpainG2019S57
Saunders-Pullman et al., 2015MixedAmericaG2019S286
Marras et al., 2016MixedMJFF centerG2019S, G2385R1,602
Sun et al., 2016East AsiansChinaG2385R301
Dagan et al., 2016European/West AsiansIsraelG2019S211
Cao et al., 2016East AsiansChinaG2385R68
Pal et al., 2016MixedCORE-PDG2019S76
Hong et al., 2017East AsiansKoreaG2385R299
Bouhouche et al., 2017AfricansMoroccoG2019S100
da Silva et al., 2017HispanicsBrazilG2019S110
San Luciano et al., 2017MixedMJFF centerG2019S1,289
Saunders-Pullman et al., 2018MixedIsrael, USAG2019S545
Figure 1

Flowchart showing the literature screening process.

The publications included for phenotype analysis. Flowchart showing the literature screening process.

Statistical analysis

Revman 5.3 software was used for all statistical analyses. Pooled odds ratio (ORs) or pooled mean difference (MD) and 95% CIs were calculated to estimate dichotomous data or continuous data about the importance of polymorphisms to the risk of phenotypes. Q statistic and I2 statistic indicated heterogeneity of the analysis. If the heterogeneity was not significant (p > 0.1, I2 < 50%), a fixed model (FM) was used for further analysis. However, if the heterogeneity was significant (p < 0.1, I2 > 50%), a random model (RM) was applied. Publication biases were measured using funnel plots. Sensitivity analyses were performed by eliminating papers one at a time, and the changes in the total results were observed.

Results

The selection process and presentation of the final results

A flowchart depicting the publication search process is shown in Figure 1. A total of 4,307 articles were retrieved after searching the databases. After excluding 1,080 overlapping articles from different databases as well as 3,161 articles that did not meet the selection criteria, 66 studies comprising 23,402 patients were considered for the final meta-analysis of phenotypes of specific LRRK2 variants related to PD. Forty-six articles comprising 16,016 patients were included for analysis of the clinical features of LRRK2-G2019S-related PD. Seventeen articles involving 6,767 patients were included for analysis of clinical presentations of LRRK2-G2385R-related PD; out of these, 5 LRRK2-R1628P–related articles comprising 2,369 patients and 5 LRRK2-R1441G–related articles comprising 1,222 patients were included in the final meta-analysis. The characteristics of the included studies in each analysis are shown in Table 1; Supplementary Table 1. The total results of meta-analyses on these four variants were shown in Table 2; Supplementary Figure 1; Supplementary Table 2. Besides, subgroup analyses of each variant were conducted in different ethnic groups (Africans, European/West Asians, Hispanics, East Asians and Mixed: composed of at least two different groups) according to ethnic classifications by Risch, N et al. (Risch et al., 2002; Supplementary Tables 3,4; Supplementary Figure 3).
Table 2

The results of phenotype-association analysis of each variant of LRRK2.

LRRK2 phenotypes or rating scalesG2019SG2385RR1628PR1441G
DEMOGRAPHIC INFORMATION
Asymmetrical onsetNANA
Age at onsetNA
Early onset+NA
Male+
Family history++NANA
FIRST SYMPTOMS
FS-BradykinesiaNANA
FS-Resting tremorNA
FS-RigidityNANA
FS-Postural instability or Gait difficultyNANA
FS-DystoniaNANANA
FS-MicrographiaNANANA
MOTOR SYMPTOMS
BradykinesiaNANANA
Resting tremorNANA
RigidityNANA
Postural instability or gait difficultyNANANA
MOTOR PHENOTYPE CLASSIFICATIONS
T-Akinetic-rigid/PIGDNANANA
T-Mixed/IntermediateNANANA
T-Tremor-dominantNANANA
SCALES EVALUATING DISEASE SEVERITIES
UPDRS INANA
UPDRS IINANA
UPDRS IIINA
H-Y+NA
Schwab & England+NANANA
MOTOR COMPLICATIONS
Dyskinesia+NANA
Motor fluctuations++NANA
NEUROPSYCHIATRIC DISTURBANCES
AnxietyNANANA
DepressionNANA
GDS15+NANANA
HallucinationNANANA
AUTONOMIC DISTURBANCES
SCOPA-AUTNANANA
COGNITIVE IMPAIRMENTS
Cognitive impairmentsNANANA
MMSE+NANA
MoCANANANA
SLEEP DISTURBANCES
Sleep disturbancesNANANA
SENSORY COMPLAINTS
Olfactory disturbancesNANANA
UPSIT scores+NANANA
TREATMENTS
Good response to l-dopa+NANANA
LEDD++NANA
ENVIRONMENTAL FACTORS
Smoke+NANANA

+, clinical symptoms related to a specific variant; −, clinical symptoms not related to a specific variant; NA, not available.

The results of phenotype-association analysis of each variant of LRRK2. +, clinical symptoms related to a specific variant; −, clinical symptoms not related to a specific variant; NA, not available.

The clinical characteristics of LRRK2-G2019S carriers

In terms of the clinical features of specific variants, the present meta-analysis showed unique clinical manifestations in G2019S, G2385R, R1628P, and R1441G separately. In total, 40 specific clinical features or rating scales belonging to 13 classifications (Park and Stacy, 2009) were included in our meta-analysis of G2019S-related clinical characteristics (Table 2; Supplementary Table 2). Our data show that G2019S carriers were predominantly female and had higher rates of EOPD and family history (OR: 0.77 [male], 1.37, 2.62; p < 0.00001, 0.02, < 0.00001). With respect to NMS, G2019S carriers tended to have lower Geriatric Depression Scale (GDS) scores and higher University of Pennsylvania Smell Identification Test (UPSIT) scores than non-carriers (MD: 0.43, 4.70; p = 0.01, < 0.00001). In terms of the response to treatment, the G2019S carriers showed good response to L-dopa (OR: 2.33; p < 0.0001) and higher Schwab and England Activity of Daily Living Scale scores (Schwab & England; MD: 1.49; p < 0.00001). Further, the G2019S carriers received a statistically higher Levodopa equivalent daily dose (LEDD) (MD: 115.20; p < 0.00001) and were more likely to develop motor complications, such as dyskinesia and motor fluctuations than non-carriers (OR: 2.18, 2.02; p < 0.00001, 0.04). Other clinical presentations did not feature G2019S. In subgroup analyses by ethnicity, in Africans, the higher scores of UPDRSIII, more likely to develop dyskinesia were found in PD patients with G2019S variant than without G2019S variant (MD: 4.79, OR: 2.61; p: 0.0005, < 0.0001). In European/West Asians, the G2019S carriers tended to have earlier age at onset, be female, have higher rates of EOPD, family history and higher LEDD than non-carriers (MD: −2.44, OR: 0.63 [male], 1.48, 2.98, MD: 102.43; p: 0.001, < 0.0001, 0.01, < 0.00001, 0.02). In Hispanics, family history characterized G2019S carriers (OR: 4.66; p: 0.0003). In mixed ethnic group, the G2019S carriers were more likely to be female, have family history (OR: 0.77 [male], 2.22; p: < 0.00001, < 0.00001). And the carriers tended to develop akinetic-rigid motor phenotype, dyskinesia, have lower GDS scores, better response to levodopa (l-dopa), higher LEDD and smoking rates (OR: 1.85, 2.37, MD: 0.44, 2.80, 129.87, OR: 1.57; p: 0.0007, < 0.00001, 0.01, < 0.0001, < 0.00001, 0.0002). There were not enough data to analyze G2019S-related clinical features in East Asians in PD (Supplementary Tables 3, 4).

Clinical characteristics of LRRK2-G2385R carriers

In total, 20 specific clinical features or rating scales belonging to eight classifications (Park and Stacy, 2009) were included in our meta-analysis of G2385R-related clinical characteristics (Table 2; Supplementary Table 2). In the analysis of G2385R-related clinical features, we demonstrated that PD patients with G2385R variants were more likely to have family history (OR: 2.10; p = 0.007). With respect to the NMS, G2385R carriers had higher Mini Mental State Examination (MMSE) scores than non-carriers (MD: 1.02; p = 0.0007). In terms of MS, G2385R carriers had lower Hoehn and Yahr rating (H-Y) than non-carriers (MD: −0.13; p = 0.02). In terms of treatment, G2385R carriers received statistically higher LEDD (MD: 53.22; p = 0.01) and were more likely to develop motor fluctuations than non-carriers (OR: 3.17; p < 0.00001). In terms of the other clinical features of G2385R, no statistically significant differences were observed between carriers and non-carriers. In subgroup analyses by ethnicity, in East Asians, the PD patients with G2385R variant tended to have family history, develop motor fluctuations and have higher MMSE scores (OR: 2.1, 3.84, MD: 1.02; p: 0.007, < 0.00001, 0.0007). There were not enough data to analyze G2385R-related clinical features in other ethnic groups in PD (Supplementary Tables 3, 4).

The clinical characteristics of LRRK2-R1628P or R1441G carriers

In the analysis of R1628P-related clinical features, we included demographic information, such as age at onset, EOPD rates, sex, first symptoms, such as resting tremor, and H-Y rating. In the analysis of R1441G- related clinical characteristics, gender and UPDRSIII scores were included in the pooled analysis. No significant differences between carriers and non-carriers were observed in terms of the clinical characteristics of R1628P and R1441G. The forest plots of each analysis are shown in Supplementary Figure 1. There were no positive results of the two variants in subgroup analyses by ethnicity (Supplementary Tables 3, 4).

Statistical sensitivity and bias analysis

Articles included in the analysis focused on the relationships between the common polymorphisms and PD phenotypes. Most funnel plots of all analyses were symmetric, which indicated that there was little publication bias in the meta-analysis, except for some phenotypes (Supplementary Figures 2, 4). According to the sensitivity analysis, the pooled OR and 95% confidence interval (CI) did not change significantly when deleting each included article one at a time. The pooled OR for each analysis was stable.

Discussion

The present meta-analysis was a comprehensive pooled analysis of specific variants in LRRK2 and their associated clinical features. Detailed genotype and phenotype data were all completely included in the meta-analysis for comprehensive exploration of the important role of LRRK2 variants in PD risk. We found that carriers of LRRK2 variants had distinct clinical features compared with non-carriers. Unique features differed between LRRK2 variants. In previous studies of LRRK2-related PD, researchers characterized LRRK2-related clinical features in patients carrying any of the LRRK2 variants, while ignoring the unique clinical features of each specific variant (Vilas et al., 2016; De Rosa et al., 2018). For example, De Rosa A et al. considered similar cognitive functions between carriers of LRRK2 G2019S or R1441G and non-carriers (De Rosa et al., 2018). However, studies of specific variants, such as R1441G reported lower likelihood of developing significant cognitive dysfunction than in IPD (Somme et al., 2015). Therefore, it is necessary to discuss the unique clinical features of LRRK2-related PD based on each specific variant. With respect to demographic features, G2019S carriers were more likely to be female and have higher rates of EOPD and family history, while G2385R carriers were more likely to have family history. The reason that LRRK2-G2019S carriers had a higher rates of family history is that the mutation is a pathogenic non-synonymous amino acid substitution and may be a cause of familial parkinsonism besides its role in sporadic PD as a SNP like G2385R or R1628P (Mata et al., 2005). While the heritability of EOPD is high, the carriers of LRRK2-G2019S had higher rates of EOPD than non-carriers (Clark et al., 2006). The gender differences between LRRK2-G2019S carriers and non-carriers in PD may due to a heavier genetic load of female than male in PD as manifested by our analysis. Female who developed PD tended to have higher rates of genetic PD which manifested a higher rates of family history than male (Saunders-Pullman et al., 2011b). In our previous research of LRRK2 in PD, we recommended screening for specific race-associated variants, such as G2019S in Caucasian and G2385R in Asian populations (data unpublished). This previous analysis further suggested that specific demographic features, such as female sex, EOPD, or family history may be used to select a targeted population for LRRK2 screening when conducting or planning research. Previous research indicated a more benign clinical course of G2019S-related PD compared with that for IPD; for example, lower incidence of falls, dyskinesia, cognition, and olfaction dysfunctions (Healy et al., 2008; Haugarvoll and Wszolek, 2009; Marras et al., 2011). The results of the present pooled analysis were consistent with previous results, in that G2019S carriers tended to have better quality of life as reflected by the Schwab & England scale, are less likely to be depressed, less prone to olfactory dysfunction, and show better response to L-dopa than non-carriers. The present finding that G2019S carriers exhibit less severe olfactory dysfunction was consistent with previous findings showing that abnormal olfaction function was present in up to 49% of patients, which is much lower than in IPD. (Healy et al., 2008). Other studies have suggested that LRRK2-G2019S is associated with abnormal olfactory function as a result of effects on Lewy body pathology in the rhinencephalon (Silveira-Moriyama et al., 2008; Kalia et al., 2015). G2385R carriers also presented with consistent benign clinical features, such as lower H-Y rating than non-carriers. With respect to NMS, G2385R carriers were less likely to have cognitive impairments than IPD patients, as reflected by the higher MMSE scores. We also did subgroup analyses by ethnicity and found clinical features of PD patients with LRRK2 variants especially G2019S and G2385R in specific ethnic groups. Although there were articles discussing about the genotype-phenotype correlations of LRRK2 in PD (Kestenbaum and Alcalay, 2017; Koros et al., 2017), our analysis is a pilot study which controlled the race variable and found clinical features of PD with LRRK2 variants in different ethnic groups. The impact of pharmacogenetics on the efficacy and side effects of treatment is widely studied in the context of PD therapeutics; susceptible variants or genes have been shown to be associated with the appropriate therapeutic dosage of L-dopa or relevant motor complications. Genetic variants, such as DRD3 G3127A in the dopamine receptor (DR) gene have been shown to be involved in L-dopa-induced dyskinesia (Comi et al., 2017). G2385R in LRRK2 was previously found to be significantly associated with motor complications in female PD patients (Gao et al., 2013). Our analysis demonstrated that G2019S or G2385R carriers tend to develop motor complications with significant differences, consistent with higher LEDD, relative to non-carriers (Cacabelos, 2017). As motor complications are known to severely damage the life quality of PD patients, it is our duty, as clinicians, to minimize complications, such as dyskinesia and motor fluctuations. Our results enable deeper understanding of the underlying genetic characteristics of PD by highlighting G2019S or G2385R variants in LRRK2 as predictors for the development of motor complications, in addition to the well-established factors, such as young age at onset, higher L-dopa dose, and low body weight (Warren Olanow et al., 2013). Motor complications should be carefully considered when such patients are treated with high doses of L-dopa. The present comprehensive analysis provides strong support for the distinct clinical features associated with different LRRK2 variants, which indicate a phenotype-genotype correlation in PD. There were phenotype-genotype correlations of other PD causative genes, such as Parkin, PINK1, and DJ1. Besides widely known clinical features of these genes like good treatment response and dyskinesia, systematic review found discrepancies from reviews or original articles. For example, Parkin mutation carriers tended to present with late age at onset and not have sleep benefit (Kasten et al., 2018). We were additionally able to predict the clinical course of PD in patients with a specific LRRK2 variant and treat these patients more precisely with early intervention to delay disease progression and control complications. The heterogeneous clinical symptoms for LRRK2-G2019S or G2385R-related PD may indicate a distinct pathophysiology in variant carriers; however, the underlying mechanisms remain elusive. Given the nature of case-control original articles, the present meta-analysis has some inevitable limitations. First, because of the lack of sufficient data and small sample size, we were unable to perform a meta-analysis of the relationship between other widely researched variants, such as A419V and R1398H (data unpublished) and the phenotypes of PD. Therefore, more comprehensive data are needed to perfect this meta-analysis. Second, heterogeneities existed among original studies in our pooled analysis; with a greater availability of original articles, it is advisable to adjust the pooled results and aim for more robust evidence. Third, co-occurrence and interaction between the factors could not be analyzed in the present meta-analysis, which may have confounded the results.

Conclusion

Clinical heterogeneity in LRRK2-associated PD among different variants, especially for G2019S and G2385R, was found to occur. We observed no distinct clinical features for R1628P or R1441G. The prominent clinical features of LRRK2-G2019S-related PD patients were female sex and higher rates of EOPD and family history. Further, G2019S carriers were less likely to be depressive and have olfactory dysfunctions, had better response to L-dopa and better quality of life than non-carriers. Furthermore, carriers tended to be treated with higher dose of L-dopa and were more likely to develop motor complications, such as dyskinesia and motor fluctuations. With respect to the clinical symptoms of G2385R carriers, this group was more likely to have more family history, lower H-Y rating, and was less likely to develop cognitive dysfunctions than non-carriers. High-dose L-dopa treatment and related motor fluctuations were more likely to occur in PD patients carrying the G2385R variant. Other clinical presentations did not feature G2019S or G2385R. No distinct clinical features were found in R1628P or R1441G variants. Our subgroup analyses in different ethnic group also presented with relevant clinical characteristics of PD patients with G2019S and G2385R but not of R1628P or R1441G.

Author contributions

LS and YZ have contributed equally to this work and are co-first authors. LS, YZ, and QS chose the topic and designed the experiments; LS, YZ, and QS performed the analysis; LS, YZ, QS, and BT analyzed the data; LS, YZ, and QS wrote the manuscript; HP, QX, and JG: data management and figure modification.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  94 in total

1.  Olfactory dysfunction in LRRK2 G2019S mutation carriers.

Authors:  R Saunders-Pullman; K Stanley; C Wang; M San Luciano; V Shanker; A Hunt; L Severt; D Raymond; L J Ozelius; R B Lipton; S B Bressman
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

2.  The prevalence of LRRK2 Gly2385Arg variant in Chinese Han population with Parkinson's disease.

Authors:  Cao Li; Zhang Ting; Xiao Qin; Wang Ying; Bai Li; Lu Guo Qiang; Ma Jian Fang; Zhang Jing; Ding Jian Qing; Chen Sheng Di
Journal:  Mov Disord       Date:  2007-12       Impact factor: 10.338

3.  Is the common LRRK2 G2019S mutation related to dyskinesias in North African Parkinson disease?

Authors:  S Lesage; S Belarbi; A Troiano; C Condroyer; N Hecham; P Pollak; E Lohman; T Benhassine; F Ysmail-Dahlouk; A Dürr; M Tazir; A Brice
Journal:  Neurology       Date:  2008-11-04       Impact factor: 9.910

4.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

Authors:  A J Hughes; S E Daniel; L Kilford; A J Lees
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5.  LRRK2 G2019S mutation in Parkinson's disease: a neuropsychological and neuropsychiatric study in a large Algerian cohort.

Authors:  Soreya Belarbi; Nassima Hecham; Suzanne Lesage; Mohamed I Kediha; Nourredine Smail; Traki Benhassine; Farida Ysmail-Dahlouk; Ebba Lohman; Badia Benhabyles; Tarik Hamadouche; Salima Assami; Alexis Brice; Meriem Tazir
Journal:  Parkinsonism Relat Disord       Date:  2010-10-08       Impact factor: 4.891

6.  LRRK2 R1628P contributes to Parkinson's disease susceptibility in Chinese Han populations from mainland China.

Authors:  Lihua Yu; Fayun Hu; Xiaoyi Zou; Yi Jiang; Yan Liu; Xianghua He; Jing Xi; Ling Liu; Zhuolin Liu; Li He; Yanming Xu
Journal:  Brain Res       Date:  2009-08-20       Impact factor: 3.252

7.  LRRK2 A419V variant is a risk factor for Parkinson's disease in Asian population.

Authors:  Kai Li; Bei-sha Tang; Zhen-hua Liu; Ji-feng Kang; Yuan Zhang; Lu Shen; Nan Li; Xin-xiang Yan; Kun Xia; Ji-feng Guo
Journal:  Neurobiol Aging       Date:  2015-07-11       Impact factor: 4.673

8.  Phenotype in parkinsonian and nonparkinsonian LRRK2 G2019S mutation carriers.

Authors:  C Marras; B Schüle; B Schuele; R P Munhoz; E Rogaeva; J W Langston; M Kasten; C Meaney; C Klein; P M Wadia; S-Y Lim; R S-I Chuang; C Zadikof; T Steeves; K M Prakash; R M A de Bie; G Adeli; T Thomsen; K K Johansen; H A Teive; A Asante; W Reginold; A E Lang
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

9.  Polymorphisms of Dopamine Receptor Genes and Risk of L-Dopa-Induced Dyskinesia in Parkinson's Disease.

Authors:  Cristoforo Comi; Marco Ferrari; Franca Marino; Luca Magistrelli; Roberto Cantello; Giulio Riboldazzi; Maria Laura Ester Bianchi; Giorgio Bono; Marco Cosentino
Journal:  Int J Mol Sci       Date:  2017-01-24       Impact factor: 5.923

10.  Cognitive Impairments in LRRK2-Related Parkinson's Disease: A Study in Chinese Individuals.

Authors:  Yifan Zheng; Zhong Pei; Yanmei Liu; Hongyan Zhou; Wenbiao Xian; Yingying Fang; Ling Chen; Qi Wu
Journal:  Behav Neurol       Date:  2015-08-06       Impact factor: 3.342

View more
  9 in total

1.  Frequency of the LRRK2 G2019S mutation in South African patients with Parkinson's disease.

Authors:  Nicola du Toit; Riaan van Coller; David G Anderson; Jonathan Carr; Soraya Bardien
Journal:  Neurogenetics       Date:  2019-09-06       Impact factor: 2.660

Review 2.  Mind the Gap: LRRK2 Phenotypes in the Clinic vs. in Patient Cells.

Authors:  Liesel Goveas; Eugénie Mutez; Marie-Christine Chartier-Harlin; Jean-Marc Taymans
Journal:  Cells       Date:  2021-04-22       Impact factor: 6.600

3.  A Systematic Review of Parkinson's Disease Pharmacogenomics: Is There Time for Translation into the Clinics?

Authors:  Vladimira Vuletić; Valentino Rački; Eliša Papić; Borut Peterlin
Journal:  Int J Mol Sci       Date:  2021-07-05       Impact factor: 5.923

Review 4.  The Future of Targeted Gene-Based Treatment Strategies and Biomarkers in Parkinson's Disease.

Authors:  Alexia Polissidis; Lilian Petropoulou-Vathi; Modestos Nakos-Bimpos; Hardy J Rideout
Journal:  Biomolecules       Date:  2020-06-16

Review 5.  Parkinson's Disease in Women and Men: What's the Difference?

Authors:  Silvia Cerri; Liudmila Mus; Fabio Blandini
Journal:  J Parkinsons Dis       Date:  2019       Impact factor: 5.568

6.  The Missing Heritability of Sporadic Frontotemporal Dementia: New Insights from Rare Variants in Neurodegenerative Candidate Genes.

Authors:  Miriam Ciani; Cristian Bonvicini; Catia Scassellati; Matteo Carrara; Carlo Maj; Silvia Fostinelli; Giuliano Binetti; Roberta Ghidoni; Luisa Benussi
Journal:  Int J Mol Sci       Date:  2019-08-10       Impact factor: 5.923

Review 7.  Monogenetic Forms of Parkinson's Disease - Bridging the Gap Between Genetics and Biomarkers.

Authors:  Lars Tönges; Eun Hae Kwon; Stephan Klebe
Journal:  Front Aging Neurosci       Date:  2022-03-03       Impact factor: 5.750

Review 8.  The Genetics of Parkinson's Disease and Implications for Clinical Practice.

Authors:  Jacob Oliver Day; Stephen Mullin
Journal:  Genes (Basel)       Date:  2021-06-30       Impact factor: 4.096

9.  Parkinson's disease and cancer: a systematic review and meta-analysis of over 17 million participants.

Authors:  Xinyuan Zhang; David Guarin; Niyaz Mohammadzadehhonarvar; Xiqun Chen; Xiang Gao
Journal:  BMJ Open       Date:  2021-07-02       Impact factor: 2.692

  9 in total

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