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Targeted copy number variant identification across the neurodegenerative disease spectrum

Authors :
Allison A. Dilliott
Kristina K. Zhang
Jian Wang
Agessandro Abrahao
Malcolm A. Binns
Sandra E. Black
Michael Borrie
Dar Dowlatshahi
Elizabeth Finger
Corinne E. Fischer
Andrew Frank
Morris Freedman
David Grimes
Ayman Hassan
Mandar Jog
Sanjeev Kumar
Anthony E. Lang
Jennifer Mandzia
Mario Masellis
Stephen H. Pasternak
Bruce G. Pollock
Tarek K. Rajji
Ekaterina Rogaeva
Demetrios J. Sahlas
Gustavo Saposnik
Christine Sato
Dallas Seitz
Christen Shoesmith
Thomas D. L. Steeves
Richard H. Swartz
Brian Tan
David F. Tang‐Wai
Maria C. Tartaglia
John Turnbull
Lorne Zinman
ONDRI Investigators
Robert A. Hegele
Source :
Molecular Genetics & Genomic Medicine, Vol 10, Iss 8, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract Background Although genetic factors are known to contribute to neurodegenerative disease susceptibility, there remains a large amount of heritability unaccounted for across the diagnoses. Copy number variants (CNVs) contribute to these phenotypes, but their presence and influence on disease state remains relatively understudied. Methods Here, we applied a depth of coverage approach to detect CNVs in 80 genes previously associated with neurodegenerative disease within participants of the Ontario Neurodegenerative Disease Research Initiative (n = 519). Results In total, we identified and validated four CNVs in the cohort, including: (1) a heterozygous deletion of exon 5 in OPTN in an Alzheimer's disease participant; (2) a duplication of exons 1–5 in PARK7 in an amyotrophic lateral sclerosis participant; (3) a duplication of >3 Mb, which encompassed ABCC6, in a cerebrovascular disease (CVD) participant; and (4) a duplication of exons 7–11 in SAMHD1 in a mild cognitive impairment participant. We also identified 43 additional CNVs that may be candidates for future replication studies. Conclusion The identification of the CNVs suggests a portion of the apparent missing heritability of the phenotypes may be due to these structural variants, and their assessment is imperative for a thorough understanding of the genetic spectrum of neurodegeneration.

Details

Language :
English
ISSN :
23249269
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Molecular Genetics & Genomic Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.649dad53d67b47c99ebb458bbdb9833e
Document Type :
article
Full Text :
https://doi.org/10.1002/mgg3.1986