Summary Background Mutations in LRRK2 , the gene that encodes leucine-rich repeat kinase 2, are a cause of Parkinson's disease (PD). The International LRRK2 Consortium was established to answer three ...key clinical questions: can LRRK2 -associated PD be distinguished from idiopathic PD; which mutations in LRRK2 are pathogenic; and what is the age-specific cumulative risk of PD for individuals who inherit or are at risk of inheriting a deleterious mutation in LRRK2 ? Methods Researchers from 21 centres across the world collaborated on this study. The frequency of the common LRRK2 Gly2019Ser mutation was estimated on the basis of data from 24 populations worldwide, and the penetrance of the mutation was defined in 1045 people with mutations in LRRK2 from 133 families. The LRRK2 phenotype was defined on the basis of 59 motor and non-motor symptoms in 356 patients with LRRK2 -associated PD and compared with the symptoms of 543 patients with pathologically proven idiopathic PD. Findings Six mutations met the consortium's criteria for being proven pathogenic. The frequency of the common LRRK2 Gly2019Ser mutation was 1% of patients with sporadic PD and 4% of patients with hereditary PD; the frequency was highest in the middle east and higher in southern Europe than in northern Europe. The risk of PD for a person who inherits the LRRK2 Gly2019Ser mutation was 28% at age 59 years, 51% at 69 years, and 74% at 79 years. The motor symptoms (eg, disease severity, rate of progression, occurrence of falls, and dyskinesia) and non-motor symptoms (eg, cognition and olfaction) of LRRK2 -associated PD were more benign than those of idiopathic PD. Interpretation Mutations in LRRK2 are a clinically relevant cause of PD that merit testing in patients with hereditary PD and in subgroups of patients with PD. However, this knowledge should be applied with caution in the diagnosis and counselling of patients. Funding UK Medical Research Council; UK Parkinson's Disease Society; UK Brain Research Trust; Internationaal Parkinson Fonds; Volkswagen Foundation; National Institutes of Health: National Institute of Neurological Disorders and Stroke and National Institute of Aging; Udall Parkinson's Disease Centre of Excellence; Pacific Alzheimer Research Foundation Centre; Italian Telethon Foundation; Fondazione Grigioni per il Morbo di Parkinson; Michael J Fox Foundation for Parkinson's Research; Safra Global Genetics Consortium; US Department of Veterans Affairs; French Agence Nationale de la Recherche.
Summary Background Great heterogeneity exists in survival and the interval between onset of motor symptoms and dementia symptoms across synucleinopathies. We aimed to identify genetic and ...pathological markers that have the strongest association with these features of clinical heterogeneity in synucleinopathies. Methods In this retrospective study, we examined symptom onset, and genetic and neuropathological data from a cohort of patients with Lewy body disorders with autopsy-confirmed α synucleinopathy (as of Oct 1, 2015) who were previously included in other studies from five academic institutions in five cities in the USA. We used histopathology techniques and markers to assess the burden of tau neurofibrillary tangles, neuritic plaques, α-synuclein inclusions, and other pathological changes in cortical regions. These samples were graded on an ordinal scale and genotyped for variants associated with synucleinopathies. We assessed the interval from onset of motor symptoms to onset of dementia, and overall survival in groups with varying levels of comorbid Alzheimer's disease pathology according to US National Institute on Aging–Alzheimer's Association neuropathological criteria, and used multivariate regression to control for age at death and sex. Findings On the basis of data from 213 patients who had been followed up to autopsy and met inclusion criteria of Lewy body disorder with autopsy-confirmed α synucleinopathy, we identified 49 (23%) patients with no Alzheimer's disease neuropathology, 56 (26%) with low-level Alzheimer's disease neuropathology, 45 (21%) with intermediate-level Alzheimer's disease neuropathology, and 63 (30%) with high-level Alzheimer's disease neuropathology. As levels of Alzheimer's disease neuropathology increased, cerebral α-synuclein scores were higher, and the interval between onset of motor and dementia symptoms and disease duration was shorter (p<0·0001 for all comparisons). Multivariate regression showed independent negative associations of cerebral tau neurofibrillary tangles score with the interval between onset of motor and dementia symptoms (β −4·0, 95% CI −5·5 to −2·6; p<0·0001; R2 0·22, p<0·0001) and with survival (–2·0, −3·2 to −0·8; 0·003; 0·15, <0·0001) in models that included age at death, sex, cerebral neuritic plaque scores, cerebral α-synuclein scores, presence of cerebrovascular disease, MAPT haplotype, and APOE genotype as covariates. Interpretation Alzheimer's disease neuropathology is common in synucleinopathies and confers a worse prognosis for each increasing level of neuropathological change. Cerebral neurofibrillary tangles burden, in addition to α-synuclein pathology and amyloid plaque pathology, are the strongest pathological predictors of a shorter interval between onset of motor and dementia symptoms and survival. Diagnostic criteria based on reliable biomarkers for Alzheimer's disease neuropathology in synucleinopathies should help to identify the most appropriate patients for clinical trials of emerging therapies targeting tau, amyloid-β or α synuclein, and to stratify them by level of Alzheimer's disease neuropathology. Funding US National Institutes of Health (National Institute on Aging and National Institute of Neurological Disorders and Stroke).
Summary Background People with Parkinson's disease can show premotor neurochemical changes in the dopaminergic and non-dopaminergic systems. Using PET, we assessed whether dopaminergic and serotonin ...transporter changes are similar in LRRK2 mutation carriers with Parkinson's disease and individuals with sporadic Parkinson's disease, and whether LRRK2 mutation carriers without motor symptoms show PET changes. Methods We did two cross-sectional PET studies at the Pacific Parkinson's Research Centre in Vancouver, BC, Canada. We included LRRK2 mutation carriers with or without manifest Parkinson's disease, people with sporadic Parkinson's disease, and age-matched healthy controls, all aged 18 years or older. People with Parkinson's disease were diagnosed by a neurologist with movement disorder training, in accordance with the UK Parkinson's Disease Society Brain Bank criteria. LRRK2 carrier status was confirmed by bidirectional Sanger sequencing. In the first study, LRRK2 mutation carriers with or without manifest Parkinson's disease who were referred for investigation between July, 1999, and January, 2012, were scanned with PET tracers for the membrane dopamine transporter, and dopamine synthesis and storage (18 F-6-fluoro-L-dopa;18 F-FDOPA). We compared findings with those in people with sporadic Parkinson's disease and age-matched healthy controls. In the second study, distinct groups of LRRK2 mutation carriers, individuals with sporadic Parkinson's disease, and age-matched healthy controls seen from November, 2012, to May, 2016, were studied with tracers for the serotonin transporter and vesicular monoamine transporter 2 (VMAT2). Striatal dopamine transporter binding, VMAT2 binding,18 F-FDOPA uptake, and serotonin transporter binding in multiple brain regions were compared by ANCOVA, adjusted for age. Findings Between January, 1997, and January, 2012, we obtained data for our first study from 40 LRRK2 mutation carriers, 63 individuals with sporadic Parkinson's disease, and 35 healthy controls. We identified significant group differences in striatal dopamine transporter binding (all age ranges in caudate and putamen, p<0·0001) and18 F-FDOPA uptake (in caudate: age ≤50 years, p=0·0002; all other age ranges, p<0·0001; in putamen: all age ranges, p<0·0001). LRRK2 mutation carriers with manifest Parkinson's disease (n=15) had reduced striatal dopamine transporter binding and18 F-FDOPA uptake, comparable with amounts seen in individuals with sporadic Parkinson's disease of similar duration. LRRK2 mutation carriers without manifest Parkinson's disease (n=25) had greater18 F-FDOPA uptake and dopamine transporter binding than did individuals with sporadic Parkinson's disease, with18 F-FDOPA uptake comparable with controls and dopamine transporter binding lower than in controls. Between November, 2012, and May, 2016, we obtained data for our second study from 16 LRRK2 mutation carriers, 13 individuals with sporadic Parkinson's disease, and nine healthy controls. Nine LRRK2 mutation carriers without manifest Parkinson's disease had significantly elevated serotonin transporter binding in the hypothalamus (compared with controls, individuals with LRRK2 Parkinson's disease, and people with sporadic Parkinson's disease, p<0·0001), striatum (compared with people with sporadic Parkinson's disease, p=0·02), and brainstem (compared with LRRK2 mutation carriers with manifest Parkinson's disease, p=0·01), after adjustment for age. Serotonin transporter binding in the cortex did not differ significantly between groups after age adjustment. Striatal VMAT2 binding was reduced in all individuals with manifest Parkinson's disease and reduced asymmetrically in one LRRK2 mutation carrier without manifest disease. Interpretation Dopaminergic and serotonergic changes progress in a similar fashion in LRRK2 mutation carriers with manifest Parkinson's disease and individuals with sporadic Parkinson's disease, but LRRK2 mutation carriers without manifest Parkinson's disease show increased serotonin transporter binding in the striatum, brainstem, and hypothalamus, possibly reflecting compensatory changes in serotonergic innervation preceding the motor onset of Parkinson's disease. Increased serotonergic innervation might contribute to clinical differences in LRRK2 Parkinson's disease, including the emergence of non-motor symptoms and, potentially, differences in the long-term response to levodopa. Funding Canada Research Chairs, Michael J Fox Foundation, National Institutes of Health, Pacific Alzheimer Research Foundation, Pacific Parkinson's Research Institute, National Research Council of Canada.
ABSTRACT Cognitive impairment is a common and disabling problem in Parkinson’s disease (PD). Identification of genetic variants that influence the presence or severity of cognitive deficits in PD ...might provide a clearer understanding of the pathophysiology underlying this important nonmotor feature. We genotyped 1,105 PD patients from the PD Cognitive Genetics Consortium for 249,336 variants using the NeuroX array. Participants underwent assessments of learning and memory (Hopkins Verbal Learning Test–Revised HVLT-R), working memory/executive function (Letter-Number Sequencing and Trail Making Test TMT A and B), language processing (semantic and phonemic verbal fluency), visuospatial abilities (Benton Judgment of Line Orientation JoLO), and global cognitive function (Montreal Cognitive Assessment). For common variants we used linear regression to test for association between genotype and cognitive performance with adjustment for important covariates. Rare variants were analyzed using the optimal unified sequence kernel association test. The significance threshold was defined as a false discovery rate corrected P -value ( PFDR ) of 0.05. Eighteen common variants in 13 genomic regions exceeded the significance threshold for one of the cognitive tests. These included GBA rs2230288 (E326K; PFDR = 2.7 x 10-4 ) for JoLO, PARP4 rs9318600 ( PFDR = 0.006) and rs9581094 ( PFDR = 0.006) for HVLT-R total recall, and MTCL1 rs34877994 ( PFDR = 0.01) for TMT B-A. Analysis of rare variants did not yield any significant gene regions. We have conducted the first large-scale PD cognitive genetics analysis and nominated several new putative susceptibility genes for cognitive impairment in PD. These results will require replication in independent PD cohorts.
Summary Background Accurate diagnosis and early detection of complex diseases, such as Parkinson's disease, has the potential to be of great benefit for researchers and clinical practice. We aimed to ...create a non-invasive, accurate classification model for the diagnosis of Parkinson's disease, which could serve as a basis for future disease prediction studies in longitudinal cohorts. Methods We developed a model for disease classification using data from the Parkinson's Progression Marker Initiative (PPMI) study for 367 patients with Parkinson's disease and phenotypically typical imaging data and 165 controls without neurological disease. Olfactory function, genetic risk, family history of Parkinson's disease, age, and gender were algorithmically selected by stepwise logistic regression as significant contributors to our classifying model. We then tested the model with data from 825 patients with Parkinson's disease and 261 controls from five independent cohorts with varying recruitment strategies and designs: the Parkinson's Disease Biomarkers Program (PDBP), the Parkinson's Associated Risk Study (PARS), 23andMe, the Longitudinal and Biomarker Study in PD (LABS-PD), and the Morris K Udall Parkinson's Disease Research Center of Excellence cohort (Penn-Udall). Additionally, we used our model to investigate patients who had imaging scans without evidence of dopaminergic deficit (SWEDD). Findings In the population from PPMI, our initial model correctly distinguished patients with Parkinson's disease from controls at an area under the curve (AUC) of 0·923 (95% CI 0·900–0·946) with high sensitivity (0·834, 95% CI 0·711–0·883) and specificity (0·903, 95% CI 0·824–0·946) at its optimum AUC threshold (0·655). All Hosmer-Lemeshow simulations suggested that when parsed into random subgroups, the subgroup data matched that of the overall cohort. External validation showed good classification of Parkinson's disease, with AUCs of 0·894 (95% CI 0·867–0·921) in the PDBP cohort, 0·998 (0·992–1·000) in PARS, 0·955 (no 95% CI available) in 23andMe, 0·929 (0·896–0·962) in LABS-PD, and 0·939 (0·891–0·986) in the Penn-Udall cohort. Four of 17 SWEDD participants who our model classified as having Parkinson's disease converted to Parkinson's disease within 1 year, whereas only one of 38 SWEDD participants who were not classified as having Parkinson's disease underwent conversion (test of proportions, p=0·003). Interpretation Our model provides a potential new approach to distinguish participants with Parkinson's disease from controls. If the model can also identify individuals with prodromal or preclinical Parkinson's disease in prospective cohorts, it could facilitate identification of biomarkers and interventions. Funding National Institute on Aging, National Institute of Neurological Disorders and Stroke, and the Michael J Fox Foundation.
There is currently a great deal of interest in using linkage disequilibrium (LD) mapping to locate both disease and quantitative-trait loci on a genomewide scale. Recent findings suggest that much of ...the human genome is organized in discrete “blocks” of low haplotype diversity, but the utility of such blocks in identifying genes influencing complex traits is not yet known and must ultimately be tested empirically through use of real data. We recently identified a putative functional polymorphism (−1021C→T) in the 5′ upstream region of the
DBH gene that accounted for 35%–52% of the total phenotypic variance in plasma dopamine β-hydroxylase (DBH) activity in samples from three distinct populations. In the present study, we genotyped 11 diallelic markers at the
DBH locus surrounding −1021C→T in 386 unrelated individuals of European origin. We identified a single 10-kb block containing −1021C→T, in which four haplotypes comprised 93% of the observed chromosomes. Only markers within the block were highly associated with phenotype (P≤2.2×10
−10), with one exception. In general, association with phenotype was strongly correlated with the degree of LD between each marker and −1021C→T. Of four LD measures assessed,
d
2 was the best predictor of this relationship. Had one attempted to map quantitative-trait loci for plasma DBH activity on a genomewide basis without prior knowledge of candidate regions and not included (by chance) markers within this haplotype block, the
DBH locus might have been missed entirely. These results provide a direct example of the potential value of constructing a haplotype map of the human genome prior to embarking on large-scale association studies.
The DBH gene regulates plasma dopamine β-hydroxylase activity (pDβH). Two single nucleotide polymorphisms (SNPs), −1021C→T (rs1611115; SNP1) and +1603C→T (rs6271; SNP3), independently influence pDβH. ...Another SNP, commonly known as DBH Taq1A (rs2519152; SNP2) is associated with attention-deficit/hyperactivity disorder (ADHD) in some (but not all) studies. We tested whether 1) SNP2 associates with pDβH; and 2) whether linkage disequilibrium (LD) between SNP2 and the other SNPs explains that association.
Plasma dopamine β-hydroxylase activity and genotypes at the SNPs were determined in Caucasian subjects (
n = 418). Associations to pDβH were examined using analyses of variance (ANOVAs) and LD among the SNPs using estimation maximization.
1) Each polymorphism analyzed alone associated with pDβH; 2) SNP2 was in strong LD with SNP1 and SNP3, respectively, but there was no significant LD between SNP1 and SNP3; and 3) analyzed jointly, each SNP contributed significantly and uniquely to plasma DβH activity.
1) SNP2 associates with pDβH; 2) SNP2 shows LD with SNP1 and SNP3; 3) most of the association between SNP2 and pDβH simply reflects that LD; however, 4) SNP2 also appears to exert a small independent effect on pDβH, suggesting that SNP2, or another variant in LD with it, uniquely influences pDβH.
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