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Kumar KR, Cowley MJ, Davis RL. The Next, Next-Generation of Sequencing, Promising to Boost Research and Clinical Practice. Semin Thromb Hemost 2024. [PMID: 38733978 DOI: 10.1055/s-0044-1786756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Affiliation(s)
- Kishore R Kumar
- Molecular Medicine Laboratory and Department of Neurology, Concord Repatriation General Hospital, Concord Clinical School, University of Sydney, Concord, NSW, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Clinical Medicine, UNSW Sydney, Randwick, NSW, Australia
| | - Mark J Cowley
- School of Clinical Medicine, UNSW Sydney, Randwick, NSW, Australia
- Children's Cancer Institute, UNSW Sydney, Randwick, NSW, Australia
| | - Ryan L Davis
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Neurogenetics Research Group, Kolling Institute, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
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Pachchek S, Landoulsi Z, Pavelka L, Schulte C, Buena-Atienza E, Gross C, Hauser AK, Reddy Bobbili D, Casadei N, May P, Krüger R. Accurate long-read sequencing identified GBA1 as major risk factor in the Luxembourgish Parkinson's study. NPJ Parkinsons Dis 2023; 9:156. [PMID: 37996455 PMCID: PMC10667262 DOI: 10.1038/s41531-023-00595-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023] Open
Abstract
Heterozygous variants in the glucocerebrosidase GBA1 gene are an increasingly recognized risk factor for Parkinson's disease (PD). Due to the GBAP1 pseudogene, which shares 96% sequence homology with the GBA1 coding region, accurate variant calling by array-based or short-read sequencing methods remains a major challenge in understanding the genetic landscape of GBA1-associated PD. We analyzed 660 patients with PD, 100 patients with Parkinsonism and 808 healthy controls from the Luxembourg Parkinson's study, sequenced using amplicon-based long-read DNA sequencing technology. We found that 12.1% (77/637) of PD patients carried GBA1 variants, with 10.5% (67/637) of them carrying known pathogenic variants (including severe, mild, risk variants). In comparison, 5% (34/675) of the healthy controls carried GBA1 variants, and among them, 4.3% (29/675) were identified as pathogenic variant carriers. We found four GBA1 variants in patients with atypical parkinsonism. Pathogenic GBA1 variants were 2.6-fold more frequently observed in PD patients compared to controls (OR = 2.6; CI = [1.6,4.1]). Three novel variants of unknown significance (VUS) were identified. Using a structure-based approach, we defined a potential risk prediction method for VUS. This study describes the full landscape of GBA1-related parkinsonism in Luxembourg, showing a high prevalence of GBA1 variants as the major genetic risk for PD. Although the long-read DNA sequencing technique used in our study may be limited in its effectiveness to detect potential structural variants, our approach provides an important advancement for highly accurate GBA1 variant calling, which is essential for providing access to emerging causative therapies for GBA1 carriers.
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Grants
- FNR/NCER13/BM/11264123 Fonds National de la Recherche Luxembourg (National Research Fund)
- funded by the Luxembourg National Research (FNR/NCER13/BM/11264123), the PEARL program (FNR/P13/6682797 to RK), MotaSYN (12719684 to RK), MAMaSyn (to RK), MiRisk‐PD (C17/BM/11676395 to RK, PM), the FNR/DFG Core INTER (ProtectMove, FNR11250962 to PM), and the PARK-QC DTU (PRIDE17/12244779/PARK-QC to RK, SP)
- Luxembourg National Research Fund (FNR/NCER13/BM/11264123), the PEARL program (FNR/P13/6682797), MotaSYN (12719684), MAMaSyn, MiRisk‐PD (C17/BM/11676395), and the PARK-QC DTU (PRIDE17/12244779/PARK-QC)
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Affiliation(s)
- Sinthuja Pachchek
- LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
| | - Zied Landoulsi
- LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg
| | - Lukas Pavelka
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Claudia Schulte
- Department of Neurodegeneration, Center of Neurology, Hertie Institute for Clinical Brain Research, German Center for Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Elena Buena-Atienza
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Caspar Gross
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Ann-Kathrin Hauser
- Department of Neurodegeneration, Center of Neurology, Hertie Institute for Clinical Brain Research, German Center for Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Dheeraj Reddy Bobbili
- LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg
| | - Nicolas Casadei
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Patrick May
- LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
| | - Rejko Krüger
- LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg.
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg.
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Gabbert C, Schaake S, Lüth T, Much C, Klein C, Aasly JO, Farrer MJ, Trinh J. GBA1 in Parkinson's disease: variant detection and pathogenicity scoring matters. BMC Genomics 2023; 24:322. [PMID: 37312046 DOI: 10.1186/s12864-023-09417-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/30/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND GBA1 variants are the strongest genetic risk factor for Parkinson's disease (PD). However, the pathogenicity of GBA1 variants concerning PD is still not fully understood. Additionally, the frequency of GBA1 variants varies widely across populations. OBJECTIVES To evaluate Oxford Nanopore sequencing as a strategy, to determine the frequency of GBA1 variants in Norwegian PD patients and controls, and to review the current literature on newly identified variants that add to pathogenicity determination. METHODS We included 462 Norwegian PD patients and 367 healthy controls. We sequenced the full-length GBA1 gene on the Oxford Nanopore GridION as an 8.9 kb amplicon. Six analysis pipelines were compared using two aligners (NGMLR, Minimap2) and three variant callers (BCFtools, Clair3, Pepper-Margin-Deepvariant). Confirmation of GBA1 variants was performed by Sanger sequencing and the pathogenicity of variants was evaluated. RESULTS We found 95.8% (115/120) true-positive GBA1 variant calls, while 4.2% (5/120) variant calls were false-positive, with the NGMLR/Minimap2-BCFtools pipeline performing best. In total, 13 rare GBA1 variants were detected: two were predicted to be (likely) pathogenic and eleven were of uncertain significance. The odds of carrying one of the two common GBA1 variants, p.L483P or p.N409S, in PD patients were estimated to be 4.11 times the odds of carrying one of these variants in controls (OR = 4.11 [1.39, 12.12]). CONCLUSIONS In conclusion, we have demonstrated that Oxford long-read Nanopore sequencing, along with the NGMLR/Minimap2-BCFtools pipeline is an effective tool to investigate GBA1 variants. Further studies on the pathogenicity of GBA1 variants are needed to assess their effect on PD.
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Affiliation(s)
- Carolin Gabbert
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany
| | - Susen Schaake
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany
| | - Theresa Lüth
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany
| | - Christoph Much
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany
| | - Jan O Aasly
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthew J Farrer
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Joanne Trinh
- Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany.
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Kovács ÁF, Némethi Z, Abonyi T, Fekete G, Kovács GT. Enhancing Molecular Testing for Effective Delivery of Actionable Gene Diagnostics. Bioengineering (Basel) 2022; 9. [PMID: 36550951 DOI: 10.3390/bioengineering9120745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/07/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022]
Abstract
There is a deep need to navigate within our genomic data to find, understand and pave the way for disease-specific treatments, as the clinical diagnostic journey provides only limited guidance. The human genome is enclosed in every nucleated cell, and yet at the single-cell resolution many unanswered questions remain, as most of the sequencing techniques use a bulk approach. Therefore, heterogeneity, mosaicism and many complex structural variants remain partially uncovered. As a conceptual approach, nanopore-based sequencing holds the promise of being a single-molecule-based, long-read and high-resolution technique, with the ability of uncovering the nucleic acid sequence and methylation almost in real time. A key limiting factor of current clinical genetics is the deciphering of key disease-causing genomic sequences. As the technological revolution is expanding regarding genetic data, the interpretation of genotype-phenotype correlations should be made with fine caution, as more and more evidence points toward the presence of more than one pathogenic variant acting together as a result of intergenic interplay in the background of a certain phenotype observed in a patient. This is in conjunction with the observation that many inheritable disorders manifest in a phenotypic spectrum, even in an intra-familial way. In the present review, we summarized the relevant data on nanopore sequencing regarding clinical genomics as well as highlighted the importance and content of pre-test and post-test genetic counselling, yielding a complex approach to phenotype-driven molecular diagnosis. This should significantly lower the time-to-right diagnosis as well lower the time required to complete a currently incomplete genotype-phenotype axis, which will boost the chance of establishing a new actionable diagnosis followed by therapeutical approach.
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Hitchman LM, Faatoese A, Merriman TR, Miller AL, Liau Y, Graham OEE, Kee PS, Pearson JF, Fakahau T, Cameron VA, Kennedy MA, Maggo SDS. Allelic diversity of the pharmacogene CYP2D6 in New Zealand Māori and Pacific peoples. Front Genet 2022; 13:1016416. [DOI: 10.3389/fgene.2022.1016416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
The enzyme cytochrome P450 2D6 (CYP2D6) metabolises approximately 25% of commonly prescribed drugs, including analgesics, anti-hypertensives, and anti-depressants, among many others. Genetic variation in drug metabolising genes can alter how an individual responds to prescribed drugs, including predisposing to adverse drug reactions. The majority of research on the CYP2D6 gene has been carried out in European and East Asian populations, with many Indigenous and minority populations, such as those from Oceania, greatly underrepresented. However, genetic variation is often population specific and analysis of diverse ethnic groups can reveal differences in alleles that may be of clinical significance. For this reason, we set out to examine the range and frequency of CYP2D6 variants in a sample of 202 Māori and Pacific people living in Aotearoa (New Zealand). We carried out long PCR to isolate the CYP2D6 region before performing nanopore sequencing to identify all variants and alleles in these samples. We identified twelve variants which have previously not been reported in the PharmVar CYP2D6 database, three of which were exonic missense variations. Six of these occurred in single samples and one was found in 19 samples (9.4% of the cohort). The remaining five variants were identified in two samples each. Identified variants formed twelve new CYP2D6 suballeles and four new star alleles, now recorded in the PharmVar database. One striking finding was that CYP2D6*71, an allele of uncertain functional status which has been rarely observed in previous studies, occurs at a relatively high frequency (8.9%) within this cohort. These data will help to ensure that CYP2D6 genetic analysis for pharmacogenetic purposes can be carried out accurately and effectively in this population group.
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MacAskill MR, Pitcher TL, Melzer TR, Myall DJ, Horne KL, Shoorangiz R, Almuqbel MM, Livingston L, Grenfell S, Pascoe MJ, Marshall ET, Marsh S, Perry SE, Meissner WG, Theys C, Le Heron CJ, Keenan RJ, Dalrymple-Alford JC, Anderson TJ. The New Zealand Parkinson’s progression programme. J R Soc N Z 2022. [DOI: 10.1080/03036758.2022.2111448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Michael R. MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L. Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tracy R. Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Daniel J. Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | | | - Reza Shoorangiz
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
| | - Mustafa M. Almuqbel
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Pacific Radiology, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Sophie Grenfell
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Maddie J. Pascoe
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
| | - Ethan T. Marshall
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Steven Marsh
- Department of Medical Physics, University of Canterbury, Christchurch, New Zealand
| | - Sarah E. Perry
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Wassilios G. Meissner
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Catherine Theys
- New Zealand Brain Research Institute, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Campbell J. Le Heron
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Ross J. Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Pacific Radiology, Christchurch, New Zealand
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Tim J. Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
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Horowitz M, Braunstein H, Zimran A, Revel-vilk S, Goker-alpan O. Lysosomal functions and dysfunctions: Molecular and cellular mechanisms underlying Gaucher disease and its association with Parkinson disease. Adv Drug Deliv Rev 2022. [DOI: 10.1016/j.addr.2022.114402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 04/28/2022] [Accepted: 06/17/2022] [Indexed: 01/18/2023]
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8
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Marsili L, Duque KR, Bode RL, Kauffman MA, Espay AJ. Uncovering Essential Tremor Genetics: The Promise of Long-Read Sequencing. Front Neurol 2022; 13:821189. [PMID: 35401394 PMCID: PMC8983820 DOI: 10.3389/fneur.2022.821189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/25/2022] [Indexed: 12/23/2022] Open
Abstract
Long-read sequencing (LRS) technologies have been recently introduced to overcome intrinsic limitations of widely-used next-generation sequencing (NGS) technologies, namely the sequencing limited to short-read fragments (150–300 base pairs). Since its introduction, LRS has permitted many successes in unraveling hidden mutational mechanisms. One area in clinical neurology in need of rethinking as it applies to genetic mechanisms is essential tremor (ET). This disorder, among the most common in neurology, is a syndrome often exhibiting an autosomal dominant pattern of inheritance whose large phenotypic spectrum suggest a multitude of genetic etiologies. Exome sequencing has revealed the genetic etiology only in rare ET families (FUS, SORT1, SCN4A, NOS3, KCNS2, HAPLN4/BRAL2, and USP46). We hypothesize that a reason for this shortcoming may be non-classical genetic mechanism(s) underpinning ET, among them trinucleotide, tetranucleotide, or pentanucleotide repeat disorders. In support of this hypothesis, trinucleotide (e.g., GGC repeats in NOTCH2NLC) and pentanucleotide repeat disorders (e.g., ATTTC repeats in STARD7) have been revealed as pathogenic in patients with a past history of what has come to be referred to as “ET plus,” bilateral hand tremor associated with epilepsy and/or leukoencephalopathy. A systematic review of LRS in neurodegenerative disorders showed that 10 of the 22 (45%) genetic etiologies ascertained by LRS include tremor in their phenotypic spectrum, suggesting that future clinical applications of LRS for tremor disorders may uncover genetic subtypes of familial ET that have eluded NGS, particularly those with associated leukoencephalopathy or family history of epilepsy. LRS provides a pathway for potentially uncovering novel genes and genetic mechanisms, helping narrow the large proportion of “idiopathic” ET.
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Affiliation(s)
- Luca Marsili
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Kevin R. Duque
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Rachel L. Bode
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Marcelo A. Kauffman
- Consultorio y Laboratorio de Neurogenética, Centro Universitario de Neurología José María Ramos Mejía, Buenos Aires, Argentina
| | - Alberto J. Espay
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
- *Correspondence: Alberto J. Espay
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Woo EG, Tayebi N, Sidransky E. Next-Generation Sequencing Analysis of GBA1: The Challenge of Detecting Complex Recombinant Alleles. Front Genet 2021; 12:684067. [PMID: 34234814 PMCID: PMC8255797 DOI: 10.3389/fgene.2021.684067] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 05/27/2021] [Indexed: 01/23/2023] Open
Affiliation(s)
- Elizabeth G Woo
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Nahid Tayebi
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ellen Sidransky
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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10
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O'Sullivan JM, den Heijer JM, Groeneveld GJ, Cooper AA. Intronic Haplotypes in GBA Modify Age at Diagnosis of Parkinson's: Replication in a Subgroup. Mov Disord 2021; 36:1468-1470. [PMID: 34002417 DOI: 10.1002/mds.28620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 03/30/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Justin M O'Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand.,The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.,Brain Research New Zealand, The University of Auckland, Auckland, New Zealand.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Jonas M den Heijer
- Centre for Human Drug Research, Leiden, The Netherlands.,Leiden University Medical Center, Leiden, The Netherlands
| | - Geert J Groeneveld
- Centre for Human Drug Research, Leiden, The Netherlands.,Leiden University Medical Center, Leiden, The Netherlands
| | - Antony A Cooper
- Australian Parkinsons Mission, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
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Li Q, Jing Y, Lun P, Liu X, Sun P. Association of gender and age at onset with glucocerebrosidase associated Parkinson's disease: a systematic review and meta-analysis. Neurol Sci 2021; 42:2261-71. [PMID: 33837876 DOI: 10.1007/s10072-021-05230-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 04/06/2021] [Indexed: 12/17/2022]
Abstract
Glucocerebrosidase (GBA) gene has been proved to be a risk factor for the development of Parkinson's disease (PD). However, the gender effect in the prevalence of GBA-associated PD (GBA-PD) is still controversial. And there is no conclusion whether the age at onset (AAO) of PD is different between carriers and non-carriers of GBA. To clarify the association between gender and AAO in GBA-PD, we conducted a systematic review and meta-analysis. PubMed, Web of Science, and Embase were retrieved to obtain potentially related studies. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the association between gender and GBA-PD. And the weighted mean difference (WMD) with 95% CIs was employed to assess the difference of AAO between carriers and non-carriers of GBA. A total of twenty-eight studies involving 16,488 PD patients were included in this meta-analysis. The results showed the prevalence of female patients was higher in GBA-PD [OR: 1.19, (95% CI, 1.07-1.32), P = 0.001]. Meanwhile, GBA carriers had younger age at PD onset than GBA non-carriers [WMD: 2.87, (95% CI, 2.48-3.27), P < 0.001]. Results of subgroup analysis showed the prevalence of women in GBA-PD was higher than men in North American and European PD patients, while the gender difference was not significant in other areas around the world, suggesting an ethnic specificity of gender effect for GBA-PD. Our results indicate the higher female prevalence with ethnic specificity and younger AAO of GBA carriers in GBA-PD.
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Xu F, Ge C, Li S, Tang S, Wu X, Luo H, Deng X, Zhang G, Stevenson A, Baker RC. Evaluation of nanopore sequencing technology to identify Salmonella enterica Choleraesuis var. Kunzendorf and Orion var. 15 +, 34 . Int J Food Microbiol 2021; 346:109167. [PMID: 33774575 DOI: 10.1016/j.ijfoodmicro.2021.109167] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 03/04/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023]
Abstract
Our previous study demonstrated that whole genome sequencing (WGS) data generated by Oxford Nanopore Technologies (ONT) can be used for rapid and accurate prediction of selected Salmonella serotypes. However, one limitation is that established methods for WGS-based serotype prediction, utilizing data from either ONT or Illumina, cannot differentiate certain serotypes and serotype variants with the same or closely related antigenic formulae. This study aimed to evaluate nanopore sequencing and additional data analysis for identification of Salmonella enterica Choleraesuis var. Kunzendorf and S. enterica Orion var. 15+, 34+, thus overcoming this limitation. Five workflows that combined different flow cells, library construction methods and basecaller models were evaluated and compared. The workflow that consisted of the R9 flow cell, rapid sequencing library construction kit and guppy basecaller with base modified model performed best for Single Nucleotide Polymorphism (SNP) analysis. With this workflow, 99.98% of matching identity between assembled genomes from ONT and that from Illumina was achieved. Less than five high-quality SNPs differed when comparing sequencing data between ONT and Illumina. SNP typing successfully identified Choleraesuis var. Kunzendorf. While prophage prediction further differentiated Orion var. 15+, 34+ from the other two Orion variants. Our study improves the readiness of ONT as a Salmonella subtyping and source tracking tool for food industry applications.
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Affiliation(s)
- Feng Xu
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Chongtao Ge
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Shaoting Li
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
| | - Silin Tang
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xingwen Wu
- Mars Global Food Safety Center, Beijing 101407, China
| | - Hao Luo
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xiangyu Deng
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
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den Heijer JM, Cullen VC, Quadri M, Schmitz A, Hilt DC, Lansbury P, Berendse HW, van de Berg WD, de Bie RM, Boertien JM, Boon AJ, Contarino MF, van Hilten JJ, Hoff JI, van Mierlo T, Munts AG, van der Plas AA, Ponsen MM, Baas F, Majoor‐Krakauer D, Bonifati V, van Laar T, Groeneveld GJ. A Large-Scale Full GBA1 Gene Screening in Parkinson's Disease in the Netherlands. Mov Disord 2020; 35:1667-1674. [PMID: 32618053 PMCID: PMC7540512 DOI: 10.1002/mds.28112] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/17/2020] [Accepted: 05/01/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The most common genetic risk factor for Parkinson's disease known is a damaging variant in the GBA1 gene. The entire GBA1 gene has rarely been studied in a large cohort from a single population. The objective of this study was to assess the entire GBA1 gene in Parkinson's disease from a single large population. METHODS The GBA1 gene was assessed in 3402 Dutch Parkinson's disease patients using next-generation sequencing. Frequencies were compared with Dutch controls (n = 655). Family history of Parkinson's disease was compared in carriers and noncarriers. RESULTS Fifteen percent of patients had a GBA1 nonsynonymous variant (including missense, frameshift, and recombinant alleles), compared with 6.4% of controls (OR, 2.6; P < 0.001). Eighteen novel variants were detected. Variants previously associated with Gaucher's disease were identified in 5.0% of patients compared with 1.5% of controls (OR, 3.4; P < 0.001). The rarely reported complex allele p.D140H + p.E326K appears to likely be a Dutch founder variant, found in 2.4% of patients and 0.9% of controls (OR, 2.7; P = 0.012). The number of first-degree relatives (excluding children) with Parkinson's disease was higher in p.D140H + p.E326K carriers (5.6%, 21 of 376) compared with p.E326K carriers (2.9%, 29 of 1014); OR, 2.0; P = 0.022, suggestive of a dose effect for different GBA1 variants. CONCLUSIONS Dutch Parkinson's disease patients display one of the largest frequencies of GBA1 variants reported so far, consisting in large part of the mild p.E326K variant and the more severe Dutch p.D140H + p.E326K founder allele. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jonas M. den Heijer
- Centre for Human Drug ResearchLeidenThe Netherlands
- Leiden University Medical CenterLeidenThe Netherlands
| | | | - Marialuisa Quadri
- Erasmus Medical CenterRotterdamThe Netherlands
- Janssen Vaccines and PreventionLeidenThe Netherlands
| | | | - Dana C. Hilt
- Lysosomal Therapeutics IncCambridgeMassachusettsUSA
| | | | | | | | - Rob M.A. de Bie
- Amsterdam University Medical CentersAmsterdamThe Netherlands
| | | | | | - M. Fiorella Contarino
- Leiden University Medical CenterLeidenThe Netherlands
- Haga Teaching HospitalThe HagueThe Netherlands
| | | | | | | | | | | | | | - Frank Baas
- Leiden University Medical CenterLeidenThe Netherlands
| | | | | | - Teus van Laar
- University Medical Center GroningenGroningenThe Netherlands
| | - Geert J. Groeneveld
- Centre for Human Drug ResearchLeidenThe Netherlands
- Leiden University Medical CenterLeidenThe Netherlands
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Schierding W, Farrow S, Fadason T, Graham OEE, Pitcher TL, Qubisi S, Davidson AJ, Perry JK, Anderson TJ, Kennedy MA, Cooper A, O'Sullivan JM. Common Variants Coregulate Expression of GBA and Modifier Genes to Delay Parkinson's Disease Onset. Mov Disord 2020; 35:1346-1356. [PMID: 32557794 PMCID: PMC7496525 DOI: 10.1002/mds.28144] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 03/02/2020] [Accepted: 05/20/2020] [Indexed: 12/29/2022] Open
Abstract
Background GBA mutations are numerically the most significant genetic risk factor for Parkinson's disease (PD), yet these mutations have low penetrance, suggesting additional mechanisms. Objectives The objective of this study was to determine if the penetrance of GBA in PD can be explained by regulatory effects on GBA and modifier genes. Methods Genetic variants associated with the regulation of GBA were identified by screening 128 common single nucleotide polymorphisms (SNPs) in the GBA locus for spatial cis‐expression quantitative trail locus (supported by chromatin interactions). Results We identified common noncoding SNPs within GBA that (1) regulate GBA expression in peripheral tissues, some of which display α‐synuclein pathology and (2) coregulate potential modifier genes in the central nervous system and/or peripheral tissues. Haplotypes based on 3 of these SNPs delay disease onset by 5 years. In addition, SNPs on 6 separate chromosomes coregulate GBA expression specifically in either the substantia nigra or cortex, and their combined effect potentially modulates motor and cognitive symptoms, respectively. Conclusions This work provides a new perspective on the haplotype‐specific effects of GBA and the genetic etiology of PD, expanding the role of GBA from the gene encoding the β‐glucocerebrosidase (GCase) to that of a central regulator and modifier of PD onset, with GBA expression itself subject to distant regulation. Some idiopathic patients might possess insufficient GBA‐encoded GCase activity in the substantia nigra as the result of distant regulatory variants and therefore might benefit from GBA‐targeting therapeutics. The SNPs’ regulatory impacts provide a plausible explanation for the variable phenotypes also observed in GBA‐centric Gaucher's disease and dementia with Lewy bodies. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Sophie Farrow
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Tayaza Fadason
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Oscar E E Graham
- Gene Structure and Function Laboratory, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Toni L Pitcher
- Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand, The University of Auckland, Auckland, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Sara Qubisi
- Department of Molecular Medicine and Pathology, School of Medical Sciences, The University of Auckland, Auckland, New Zealand
| | - Alan J Davidson
- Department of Molecular Medicine and Pathology, School of Medical Sciences, The University of Auckland, Auckland, New Zealand
| | - Jo K Perry
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand, The University of Auckland, Auckland, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Neurology Department, Christchurch Hospital, Canterbury District Health Board, Christchurch, New Zealand
| | - Martin A Kennedy
- Gene Structure and Function Laboratory, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Antony Cooper
- Australian Parkinsons Mission, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Justin M O'Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand.,Brain Research New Zealand, The University of Auckland, Auckland, New Zealand
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