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Genomic Copy Number Analysis in Alzheimer′s Disease and Mild Cognitive Impairment: An ADNI Study
Author(s) -
Shanker Swaminathan,
Sungeun Kim,
Li Shen,
Shan L. Risacher,
Tatiana Foroud,
Nathan Pankratz,
Steven G. Potkin,
Matthew J. Huentelman,
David W. Craig,
Michael W. Weiner,
Andrew J. Saykin,
The Alzheimer′s Disease Neuroimaging Initiative
Publication year - 2011
Publication title -
international journal of alzheimer s disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 49
eISSN - 2090-8024
pISSN - 2090-0252
DOI - 10.4061/2011/729478
Subject(s) - cognitive impairment , medicine , disease , cognition , copy number variation , alzheimer's disease , bioinformatics , data science , gerontology , computational biology , psychiatry , genetics , genome , gene , biology , computer science
Copy number variants (CNVs) are DNA sequence alterations, resulting in gains (duplications) and losses (deletions) of genomic segments. They often overlap genes and may play important roles in disease. Only one published study has examined CNVs in late-onset Alzheimer's disease (AD), and none have examined mild cognitive impairment (MCI). CNV calls were generated in 288 AD, 183 MCI, and 184 healthy control (HC) non-Hispanic Caucasian Alzheimer's Disease Neuroimaging Initiative participants. After quality control, 222 AD, 136 MCI, and 143 HC participants were entered into case/control association analyses, including candidate gene and whole genome approaches. Although no excess CNV burden was observed in cases (AD and/or MCI) relative to controls (HC), gene-based analyses revealed CNVs overlapping the candidate gene CHRFAM7A, as well as CSMD1, SLC35F2, HNRNPCL1, NRXN1, and ERBB4 regions, only in cases. Replication in larger samples is important, after which regions detected here may be promising targets for resequencing

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