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Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project
Alzheimer’s Disease (AD) is a progressive neurologic disease and the most common form of dementia. While the causes of AD are not completely understood, genetics plays a key role in the etiology of AD, and thus finding genetic factors holds the potential to uncover novel AD mechanisms. For this stud...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599981/ https://www.ncbi.nlm.nih.gov/pubmed/34804120 http://dx.doi.org/10.3389/fgene.2021.752390 |
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author | Lee, Wan-Ping Tucci, Albert A. Conery, Mitchell Leung, Yuk Yee Kuzma, Amanda B. Valladares, Otto Chou, Yi-Fan Lu, Wenbin Wang, Li-San Schellenberg, Gerard D. Tzeng, Jung-Ying |
author_facet | Lee, Wan-Ping Tucci, Albert A. Conery, Mitchell Leung, Yuk Yee Kuzma, Amanda B. Valladares, Otto Chou, Yi-Fan Lu, Wenbin Wang, Li-San Schellenberg, Gerard D. Tzeng, Jung-Ying |
author_sort | Lee, Wan-Ping |
collection | PubMed |
description | Alzheimer’s Disease (AD) is a progressive neurologic disease and the most common form of dementia. While the causes of AD are not completely understood, genetics plays a key role in the etiology of AD, and thus finding genetic factors holds the potential to uncover novel AD mechanisms. For this study, we focus on copy number variation (CNV) detection and burden analysis. Leveraging whole-genome sequence (WGS) data released by Alzheimer’s Disease Sequencing Project (ADSP), we developed a scalable bioinformatics pipeline to identify CNVs. This pipeline was applied to 1,737 AD cases and 2,063 cognitively normal controls. As a result, we observed 237,306 and 42,767 deletions and duplications, respectively, with an average of 2,255 deletions and 1,820 duplications per subject. The burden tests show that Non-Hispanic-White cases on average have 16 more duplications than controls do (p-value 2e-6), and Hispanic cases have larger deletions than controls do (p-value 6.8e-5). |
format | Online Article Text |
id | pubmed-8599981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85999812021-11-19 Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project Lee, Wan-Ping Tucci, Albert A. Conery, Mitchell Leung, Yuk Yee Kuzma, Amanda B. Valladares, Otto Chou, Yi-Fan Lu, Wenbin Wang, Li-San Schellenberg, Gerard D. Tzeng, Jung-Ying Front Genet Genetics Alzheimer’s Disease (AD) is a progressive neurologic disease and the most common form of dementia. While the causes of AD are not completely understood, genetics plays a key role in the etiology of AD, and thus finding genetic factors holds the potential to uncover novel AD mechanisms. For this study, we focus on copy number variation (CNV) detection and burden analysis. Leveraging whole-genome sequence (WGS) data released by Alzheimer’s Disease Sequencing Project (ADSP), we developed a scalable bioinformatics pipeline to identify CNVs. This pipeline was applied to 1,737 AD cases and 2,063 cognitively normal controls. As a result, we observed 237,306 and 42,767 deletions and duplications, respectively, with an average of 2,255 deletions and 1,820 duplications per subject. The burden tests show that Non-Hispanic-White cases on average have 16 more duplications than controls do (p-value 2e-6), and Hispanic cases have larger deletions than controls do (p-value 6.8e-5). Frontiers Media S.A. 2021-11-04 /pmc/articles/PMC8599981/ /pubmed/34804120 http://dx.doi.org/10.3389/fgene.2021.752390 Text en Copyright © 2021 Lee, Tucci, Conery, Leung, Kuzma, Valladares, Chou, Lu, Wang, Schellenberg and Tzeng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lee, Wan-Ping Tucci, Albert A. Conery, Mitchell Leung, Yuk Yee Kuzma, Amanda B. Valladares, Otto Chou, Yi-Fan Lu, Wenbin Wang, Li-San Schellenberg, Gerard D. Tzeng, Jung-Ying Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title | Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title_full | Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title_fullStr | Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title_full_unstemmed | Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title_short | Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project |
title_sort | copy number variation identification on 3,800 alzheimer’s disease whole genome sequencing data from the alzheimer’s disease sequencing project |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599981/ https://www.ncbi.nlm.nih.gov/pubmed/34804120 http://dx.doi.org/10.3389/fgene.2021.752390 |
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