4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Coding and Noncoding Variation in LRRK2 and Parkinson's Disease Risk

      research-article
      , BSc 1 , , PhD 1 , , PhD 1 , , PhD 1 , 2 , 3 , , MD, PhD 4 , 5 , 6 , , PhD 1 , , PhD 1 , 2 , , PhD 1 , , MSc 1 , 2 , 3 , 7 , , International Parkinson's Disease Genomics Consortium (IPDGC)
      Movement Disorders
      John Wiley & Sons, Inc.
      Parkinson's disease, genetics, association, LRRK2

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The leucine‐rich repeat kinase 2 ( LRRK2) gene harbors both rare highly damaging missense variants (eg, p.G2019S) and common noncoding variants (eg, rs76904798) with lower effect sizes that are associated with Parkinson's disease (PD) risk.

          Objectives

          This study aimed to investigate in a large meta‐analysis whether the LRRK2 Genome‐Wide Association Study (GWAS) signal represented by rs76904798 is independently associated with PD risk from LRRK2 coding variation and whether complex linkage disequilibrium structures with p.G2019S and the 5′ noncoding haplotype account for the association of LRRK2 coding variants.

          Methods

          We performed a meta‐analysis using imputed genotypes from 17,838 patients, 13,404 proxy patients, and 173,639 healthy controls of European ancestry. We excluded carriers of p.G2019S and/or rs76904798 to clarify the role of LRRK2 coding variation in mediating disease risk and excluded carriers of relatively rare LRRK2 coding variants to assess the independence of rs76904798. We also investigated the co‐inheritance of LRRK2 coding variants with p.G2019S, rs76904798, and p.N2081D.

          Results

          LRRK2 rs76904798 remained significantly associated with PD after excluding the carriers of relatively rare LRRK2 coding variants. LRRK2 p.R1514Q and p.N2081D were frequently co‐inherited with rs76904798, and the allele distribution of p.S1647T significantly changed among patients after removing rs76904798 carriers.

          Conclusions

          These data suggest that the LRRK2 coding variants previously related to PD (p.N551K, p.R1398H, p.M1646T, and p.N2081D) do not drive the 5′ noncoding GWAS signal. These data, however, do not preclude the independent association of the haplotype p.N551K‐p.R1398H and p.M1646T with altered disease risk. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The UK Biobank resource with deep phenotyping and genomic data

          The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            METAL: fast and efficient meta-analysis of genomewide association scans

            Summary: METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies. METAL provides a rich scripting interface and implements efficient memory management to allow analyses of very large data sets and to support a variety of input file formats. Availability and implementation: METAL, including source code, documentation, examples, and executables, is available at http://www.sph.umich.edu/csg/abecasis/metal/ Contact: goncalo@umich.edu
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Next-generation genotype imputation service and methods.

              Genotype imputation is a key component of genetic association studies, where it increases power, facilitates meta-analysis, and aids interpretation of signals. Genotype imputation is computationally demanding and, with current tools, typically requires access to a high-performance computing cluster and to a reference panel of sequenced genomes. Here we describe improvements to imputation machinery that reduce computational requirements by more than an order of magnitude with no loss of accuracy in comparison to standard imputation tools. We also describe a new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity.
                Bookmark

                Author and article information

                Contributors
                hampton.leonard@nih.gov
                Journal
                Mov Disord
                Mov Disord
                10.1002/(ISSN)1531-8257
                MDS
                Movement Disorders
                John Wiley & Sons, Inc. (Hoboken, USA )
                0885-3185
                1531-8257
                20 September 2021
                January 2022
                : 37
                : 1 ( doiID: 10.1002/mds.v37.1 )
                : 95-105
                Affiliations
                [ 1 ] Laboratory of Neurogenetics, National Institute on Aging National Institutes of Health Bethesda Maryland USA
                [ 2 ] Center for Alzheimer's and Related Dementias National Institutes of Health Bethesda Maryland USA
                [ 3 ] Data Tecnica International Glen Echo Maryland USA
                [ 4 ] Montreal Neurological Institute McGill University Montréal Quebec Canada
                [ 5 ] Department of Human Genetics McGill University Montréal Quebec Canada
                [ 6 ] Department of Neurology and Neurosurgery McGill University Montréal Quebec Canada
                [ 7 ] German Center for Neurodegenerative Diseases (DZNE) Tübingen Germany
                Author notes
                [*] [* ] Correspondence to: Ms. Hampton L. Leonard, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Building 35, 35 Convent Drive, Bethesda, MD 20892, USA; E‐mail: hampton.leonard@ 123456nih.gov

                Author information
                https://orcid.org/0000-0002-3441-2455
                https://orcid.org/0000-0003-0332-234X
                https://orcid.org/0000-0002-1058-3831
                https://orcid.org/0000-0003-2390-8110
                Article
                MDS28787
                10.1002/mds.28787
                9292230
                34542912
                65dfe8e2-0a87-495f-a3ae-19d6f2e7d9d6
                © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 August 2021
                : 26 April 2021
                : 23 August 2021
                Page count
                Figures: 2, Tables: 2, Pages: 11, Words: 8419
                Funding
                Funded by: National Institute of Environmental Health Sciences , doi 10.13039/100000066;
                Award ID: Z01‐ES101986
                Funded by: National Institute of Neurological Disorders and Stroke , doi 10.13039/100000065;
                Award ID: 1ZIA‐NS003154
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Award ID: Z01‐AG000949‐02
                Funded by: Wellcome Trust/Medical Research Council Joint Call in Neurodegeneration , doi 10.13039/100010269;
                Award ID: WT089698
                Funded by: Medical Research Council , doi 10.13039/501100007155;
                Award ID: G1100643
                Award ID: G0700943
                Funded by: Parkinson's UK , doi 10.13039/501100000304;
                Award ID: J‐0804
                Award ID: 8047
                Funded by: Wellcome Trust , doi 10.13039/100010269;
                Award ID: 090355
                Award ID: 085475
                Award ID: 076113
                Funded by: Medical Research Council and Wellcome Trust disease center
                Award ID: WT089698/Z/09/Z
                Funded by: Assistance Publique‐Hôpitaux de Paris , doi 10.13039/501100009820;
                Award ID: AOR‐08010
                Funded by: Fondation de France , doi 10.13039/501100004431;
                Award ID: ANR‐10‐IAIHU‐06
                Funded by: French National Agency of Research
                Award ID: ANR‐08‐MNP‐012
                Funded by: German National Foundation
                Award ID: DFG SH599/6‐1
                Funded by: the National Institutes of Health , doi 10.13039/100000002;
                Award ID: P50NS071674
                Award ID: R01CA141668
                Award ID: R01NS037167
                Funded by: Department of Defense , doi 10.13039/100000005;
                Award ID: W81XWH‐09‐2‐0128
                Categories
                Research Article
                Regular Issue Articles
                Research Articles
                Custom metadata
                2.0
                January 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:18.07.2022

                Medicine
                parkinson's disease,genetics,association,lrrk2
                Medicine
                parkinson's disease, genetics, association, lrrk2

                Comments

                Comment on this article