Literature DB >> 32212230

MIDN locus structural variants and Parkinson's Disease risk.

Kimberley J Billingsley1, Sara Bandres-Ciga1, Jinhui Ding1, Dena Hernandez1, J Raphael Gibbs1, Cornelis Blauwendraat1.   

Abstract

Entities:  

Year:  2020        PMID: 32212230      PMCID: PMC7187709          DOI: 10.1002/acn3.51012

Source DB:  PubMed          Journal:  Ann Clin Transl Neurol        ISSN: 2328-9503            Impact factor:   4.511


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Dear Editor, Based on a candidate gene analysis, Obara and colleagues previously reported an association between Parkinson's disease (PD) and deletion structural variants (SV)s at the MIDN locus in the Japanese population.1 In their recent study, using genotyping data from a British cohort, Obara and colleagues further suggest MIDN as a confirmed and universal risk factor of PD.2 To establish the pathogenicity of MIDN, as part of the International Parkinson's Disease Genomics Consortium (IPDGC), we utilized the summary statistics from the most recent PD meta‐analysis, which involved 37.7k PD cases, 18.6 U.K. biobank proxy‐cases, and 1.4 million controls. Consequently, we did not identify an association with risk of PD at this locus based on common SNP variants (Fig. S1)3. In addition, we analyzed whole genome sequencing data (WGS) from eight cohorts totaling 3868 individuals (2742 PD cases and 1126 controls of European ancestry). SVs were genotyped from the WGS using the highly sensitive detection tool Manta.4 The only major deletion detected was of a reference Alu retrotransposon (GRCh38 chr19:1247064‐1247368, MAF = 0.014); however, further analysis identified no significant association between the Alu deletion and risk for PD (P = 0.74, β = −0.03, SE = 0.22) (Appendix S1). Four additional singleton deletions were detected, including deletions of three reference Alu retrotransposons and a 4822‐bp deletion that was detected in a healthy control (Fig. S2 and Table S1). Further, Obara and colleague reported deletions at the MIDN locus in 1.64% of controls. In view of this, we utilized gnomadSV, a comprehensive public SV database. This resource provides a call set of ~445k SVs that were detected in 14,891 genomes, spanning four major global populations.5 In support of our WGS analysis, as shown in (Fig. S3) no common deletion SVs were detected in the general population. In summary, we did not identify any PD‐associated deletions within 100 kb of MIDN in the 3,868 individuals analyzed. SV calling using SNP genotyping data is notoriously difficult and it has been repeatedly reported that this method can result in a high false positive rate.6, 7, 8 Due to this factor, SVs require functional validation, which was not presented for the MIDN deletions described in the Obara and colleagues’ studies. Therefore, the lack of validation of the reported SVs, supported by the lack of evidence of these events in both the gnomadSV data and our WGS analysis, suggests that the MIDN deletions reported require further study before they can be unequivocally associated with PD.

Conflict of Interest

The authors have nothing to disclose. Appendix S1. Supplementary Methods. Table S1. Clinical and demographic characteristics of WGS data. Figure S1. Locuszoom plot of the MIDN locus from the most recent PD meta‐analysis involving 37.7 PD cases, 18.6 UK biobank proxy‐cases and 1.4M controls shows no association with PD based on common variants. Figure S2. IGV snapshot of a heterozygous 4,822bp deletion (illustrated in red) detected with MANTA in a healthy control individual. Figure S3. Snapshot of the MIDN locus generated by the gnomadSV browser (https://gnomad.broadinstitute.org/region/19-1217850-1294000?dataset=gnomad_sv_r2_1). Click here for additional data file.
  7 in total

1.  Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.

Authors:  Xiaoyu Chen; Ole Schulz-Trieglaff; Richard Shaw; Bret Barnes; Felix Schlesinger; Morten Källberg; Anthony J Cox; Semyon Kruglyak; Christopher T Saunders
Journal:  Bioinformatics       Date:  2015-12-08       Impact factor: 6.937

2.  Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies.

Authors:  Mike A Nalls; Cornelis Blauwendraat; Costanza L Vallerga; Karl Heilbron; Sara Bandres-Ciga; Diana Chang; Manuela Tan; Demis A Kia; Alastair J Noyce; Angli Xue; Jose Bras; Emily Young; Rainer von Coelln; Javier Simón-Sánchez; Claudia Schulte; Manu Sharma; Lynne Krohn; Lasse Pihlstrøm; Ari Siitonen; Hirotaka Iwaki; Hampton Leonard; Faraz Faghri; J Raphael Gibbs; Dena G Hernandez; Sonja W Scholz; Juan A Botia; Maria Martinez; Jean-Christophe Corvol; Suzanne Lesage; Joseph Jankovic; Lisa M Shulman; Margaret Sutherland; Pentti Tienari; Kari Majamaa; Mathias Toft; Ole A Andreassen; Tushar Bangale; Alexis Brice; Jian Yang; Ziv Gan-Or; Thomas Gasser; Peter Heutink; Joshua M Shulman; Nicholas W Wood; David A Hinds; John A Hardy; Huw R Morris; Jacob Gratten; Peter M Visscher; Robert R Graham; Andrew B Singleton
Journal:  Lancet Neurol       Date:  2019-12       Impact factor: 44.182

3.  Accuracy of CNV Detection from GWAS Data.

Authors:  Dandan Zhang; Yudong Qian; Nirmala Akula; Ney Alliey-Rodriguez; Jinsong Tang; Elliot S Gershon; Chunyu Liu
Journal:  PLoS One       Date:  2011-01-13       Impact factor: 3.240

4.  The impact of errors in copy number variation detection algorithms on association results.

Authors:  Nathan E Wineinger; Hemant K Tiwari
Journal:  PLoS One       Date:  2012-04-16       Impact factor: 3.240

5.  Comprehensive evaluation and characterisation of short read general-purpose structural variant calling software.

Authors:  Daniel L Cameron; Leon Di Stefano; Anthony T Papenfuss
Journal:  Nat Commun       Date:  2019-07-19       Impact factor: 14.919

6.  Midnolin is a novel regulator of parkin expression and is associated with Parkinson's Disease.

Authors:  Yutaro Obara; Toru Imai; Hidenori Sato; Yuji Takeda; Takeo Kato; Kuniaki Ishii
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

7.  Midnolin is a confirmed genetic risk factor for Parkinson's disease.

Authors:  Yutaro Obara; Hidenori Sato; Takahiro Nakayama; Takeo Kato; Kuniaki Ishii
Journal:  Ann Clin Transl Neurol       Date:  2019-10-06       Impact factor: 4.511

  7 in total
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1.  Midnolin Regulates Liver Cancer Cell Growth In Vitro and In Vivo.

Authors:  Soo-Mi Kweon; Gayeoun Kim; Yunseong Jeong; Wendong Huang; Ju-Seog Lee; Keane K Y Lai
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  1 in total

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