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BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease
BACKGROUND: Accumulating evidence suggests that BMI1 confers protective effects against Alzheimer’s disease (AD). However, the mechanism remains elusive. Based on recent pathophysiological evidence, we sought for the first time to identify genetic variants in BMI1 as associated with AD biomarkers, i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493672/ https://www.ncbi.nlm.nih.gov/pubmed/34610832 http://dx.doi.org/10.1186/s13195-021-00906-4 |
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author | Kim, Jun Pyo Kim, Bo-Hyun Bice, Paula J. Seo, Sang Won Bennett, David A. Saykin, Andrew J. Nho, Kwangsik |
author_facet | Kim, Jun Pyo Kim, Bo-Hyun Bice, Paula J. Seo, Sang Won Bennett, David A. Saykin, Andrew J. Nho, Kwangsik |
author_sort | Kim, Jun Pyo |
collection | PubMed |
description | BACKGROUND: Accumulating evidence suggests that BMI1 confers protective effects against Alzheimer’s disease (AD). However, the mechanism remains elusive. Based on recent pathophysiological evidence, we sought for the first time to identify genetic variants in BMI1 as associated with AD biomarkers, including amyloid-β. METHODS: We used genetic, longitudinal cognition, and cerebrospinal fluid (CSF) biomarker data from participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort (N = 1565). First, we performed a gene-based association analysis of common single nucleotide polymorphisms (SNPs) (minor allele frequency (MAF) > 5%) located within ± 20 kb of the gene boundary of BMI1, an optimal width for including potential regulatory SNPs in the 5′ and 3′ untranslated regions (UTR) of BMI1, with CSF Aβ(1-42) levels. Second, we performed cross-sectional and longitudinal association analyses of SNPs in BMI1 with cognitive performance using linear and mixed-effects models. We replicated association of SNPs in BMI1 with cognitive performance in an independent cohort (N=1084), Religious Orders Study and the Rush Memory and Aging Project (ROS/MAP). RESULTS: Gene-based genetic association analysis showed that BMI1 was significantly associated with CSF Aβ(1-42) levels after adjusting for multiple testing using permutation (permutation-corrected p value=0.005). rs17415557 in BMI1 showed the most significant association with CSF Aβ(1-42) levels. Participants with minor alleles of rs17415557 have increased CSF Aβ(1-42) levels compared to those with no minor alleles. Further analysis identified and replicated the minor allele of rs17415557 as being significantly associated with slower cognitive decline rates in AD. CONCLUSIONS: Our findings provide fundamental evidence that BMI1 rs17415557 may serve as a protective mechanism related to AD pathogenesis, which supports the results of previous studies linking BMI1 to protection against AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00906-4. |
format | Online Article Text |
id | pubmed-8493672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84936722021-10-06 BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease Kim, Jun Pyo Kim, Bo-Hyun Bice, Paula J. Seo, Sang Won Bennett, David A. Saykin, Andrew J. Nho, Kwangsik Alzheimers Res Ther Research BACKGROUND: Accumulating evidence suggests that BMI1 confers protective effects against Alzheimer’s disease (AD). However, the mechanism remains elusive. Based on recent pathophysiological evidence, we sought for the first time to identify genetic variants in BMI1 as associated with AD biomarkers, including amyloid-β. METHODS: We used genetic, longitudinal cognition, and cerebrospinal fluid (CSF) biomarker data from participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort (N = 1565). First, we performed a gene-based association analysis of common single nucleotide polymorphisms (SNPs) (minor allele frequency (MAF) > 5%) located within ± 20 kb of the gene boundary of BMI1, an optimal width for including potential regulatory SNPs in the 5′ and 3′ untranslated regions (UTR) of BMI1, with CSF Aβ(1-42) levels. Second, we performed cross-sectional and longitudinal association analyses of SNPs in BMI1 with cognitive performance using linear and mixed-effects models. We replicated association of SNPs in BMI1 with cognitive performance in an independent cohort (N=1084), Religious Orders Study and the Rush Memory and Aging Project (ROS/MAP). RESULTS: Gene-based genetic association analysis showed that BMI1 was significantly associated with CSF Aβ(1-42) levels after adjusting for multiple testing using permutation (permutation-corrected p value=0.005). rs17415557 in BMI1 showed the most significant association with CSF Aβ(1-42) levels. Participants with minor alleles of rs17415557 have increased CSF Aβ(1-42) levels compared to those with no minor alleles. Further analysis identified and replicated the minor allele of rs17415557 as being significantly associated with slower cognitive decline rates in AD. CONCLUSIONS: Our findings provide fundamental evidence that BMI1 rs17415557 may serve as a protective mechanism related to AD pathogenesis, which supports the results of previous studies linking BMI1 to protection against AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00906-4. BioMed Central 2021-10-05 /pmc/articles/PMC8493672/ /pubmed/34610832 http://dx.doi.org/10.1186/s13195-021-00906-4 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kim, Jun Pyo Kim, Bo-Hyun Bice, Paula J. Seo, Sang Won Bennett, David A. Saykin, Andrew J. Nho, Kwangsik BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title | BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title_full | BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title_fullStr | BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title_full_unstemmed | BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title_short | BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease |
title_sort | bmi1 is associated with csf amyloid-β and rates of cognitive decline in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493672/ https://www.ncbi.nlm.nih.gov/pubmed/34610832 http://dx.doi.org/10.1186/s13195-021-00906-4 |
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