Comprehensive short and long read sequencing analysis for the Gaucher and Parkinson’s disease-associated GBA gene

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作者
Marco Toffoli
Xiao Chen
Fritz J. Sedlazeck
Chiao-Yin Lee
Stephen Mullin
Abigail Higgins
Sofia Koletsi
Monica Emili Garcia-Segura
Esther Sammler
Sonja W. Scholz
Anthony H. V. Schapira
Michael A. Eberle
Christos Proukakis
机构
[1] University College London,Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology
[2] Illumina Inc.,Human Genome Sequencing Center
[3] Baylor College of Medicine,Institute of Translational and Stratified Medicine
[4] University of Plymouth School of Medicine,MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences
[5] University of Dundee,Molecular and Clinical Medicine, School of Medicine
[6] University of Dundee,Neurodegenerative Diseases Research Unit
[7] National Institute of Neurological Disorders and Stroke,Department of Neurology
[8] Johns Hopkins University Medical Center,undefined
[9] Pacific Biosciences,undefined
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摘要
GBA variants carriers are at increased risk of Parkinson’s disease (PD) and Lewy body dementia (LBD). The presence of pseudogene GBAP1 predisposes to structural variants, complicating genetic analysis. We present two methods to resolve recombinant alleles and other variants in GBA: Gauchian, a tool for short-read, whole-genome sequencing data analysis, and Oxford Nanopore sequencing after PCR enrichment. Both methods were concordant for 42 samples carrying a range of recombinants and GBAP1-related mutations, and Gauchian outperformed the GATK Best Practices pipeline. Applying Gauchian to sequencing of over 10,000 individuals shows that copy number variants (CNVs) spanning GBAP1 are relatively common in Africans. CNV frequencies in PD and LBD are similar to controls. Gains may coexist with other mutations in patients, and a modifying effect cannot be excluded. Gauchian detects more GBA variants in LBD than PD, especially severe ones. These findings highlight the importance of accurate GBA analysis in these patients.
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