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Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities
BACKGROUND: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic va...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330399/ https://www.ncbi.nlm.nih.gov/pubmed/30636644 http://dx.doi.org/10.1186/s13195-018-0458-8 |
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author | Nazarian, Alireza Yashin, Anatoliy I. Kulminski, Alexander M. |
author_facet | Nazarian, Alireza Yashin, Anatoliy I. Kulminski, Alexander M. |
author_sort | Nazarian, Alireza |
collection | PubMed |
description | BACKGROUND: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained. METHODS: We investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females. RESULTS: Our genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 35 single-nucleotide polymorphisms (SNPs) outside the chromosome 19q13 region at the suggestive significance level of p < 5E–06. These SNPs were mapped to 21 genes in 19 chromosomal regions. Of these, 17 genes were not associated with AD at genome-wide or suggestive levels of associations by previous genome-wide association studies. Also, the chromosomal regions corresponding to 8 genes did not contain any previously detected AD-associated SNPs with p < 5E–06. Our transcriptome-wide association and gene-based analyses revealed that 26 genes located in 20 chromosomal regions outside chromosome 19q13 had evidence of potential associations with AD at a false discovery rate of 0.05. Of these, 13 genes/regions did not contain any previously AD-associated SNPs at genome-wide or suggestive levels of associations. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD. Also, 7 of 26 pathways that showed evidence of associations with AD in our pathway-bases analyses were significant only in females. CONCLUSIONS: Our findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0458-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6330399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63303992019-01-16 Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities Nazarian, Alireza Yashin, Anatoliy I. Kulminski, Alexander M. Alzheimers Res Ther Research BACKGROUND: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained. METHODS: We investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females. RESULTS: Our genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 35 single-nucleotide polymorphisms (SNPs) outside the chromosome 19q13 region at the suggestive significance level of p < 5E–06. These SNPs were mapped to 21 genes in 19 chromosomal regions. Of these, 17 genes were not associated with AD at genome-wide or suggestive levels of associations by previous genome-wide association studies. Also, the chromosomal regions corresponding to 8 genes did not contain any previously detected AD-associated SNPs with p < 5E–06. Our transcriptome-wide association and gene-based analyses revealed that 26 genes located in 20 chromosomal regions outside chromosome 19q13 had evidence of potential associations with AD at a false discovery rate of 0.05. Of these, 13 genes/regions did not contain any previously AD-associated SNPs at genome-wide or suggestive levels of associations. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD. Also, 7 of 26 pathways that showed evidence of associations with AD in our pathway-bases analyses were significant only in females. CONCLUSIONS: Our findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0458-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-12 /pmc/articles/PMC6330399/ /pubmed/30636644 http://dx.doi.org/10.1186/s13195-018-0458-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Nazarian, Alireza Yashin, Anatoliy I. Kulminski, Alexander M. Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title | Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title_full | Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title_fullStr | Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title_full_unstemmed | Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title_short | Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities |
title_sort | genome-wide analysis of genetic predisposition to alzheimer’s disease and related sex disparities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330399/ https://www.ncbi.nlm.nih.gov/pubmed/30636644 http://dx.doi.org/10.1186/s13195-018-0458-8 |
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