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Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease
Growing evidence suggests the effect of educational attainment (EA) on Alzheimer’s disease (AD), but less is known about the shared genetic architecture between them. Here, leveraging genome-wide association studies (GWAS) for AD (N = 21,982/41,944), EA (N = 1,131,881), cognitive performance (N = 25...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601659/ https://www.ncbi.nlm.nih.gov/pubmed/37900179 http://dx.doi.org/10.3389/fgene.2023.1243879 |
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author | Wang, Fuxu Wang, Haoyan Yuan, Ye Han, Bing Qiu, Shizheng Hu, Yang Zang, Tianyi |
author_facet | Wang, Fuxu Wang, Haoyan Yuan, Ye Han, Bing Qiu, Shizheng Hu, Yang Zang, Tianyi |
author_sort | Wang, Fuxu |
collection | PubMed |
description | Growing evidence suggests the effect of educational attainment (EA) on Alzheimer’s disease (AD), but less is known about the shared genetic architecture between them. Here, leveraging genome-wide association studies (GWAS) for AD (N = 21,982/41,944), EA (N = 1,131,881), cognitive performance (N = 257,828), and intelligence (N = 78,308), we investigated their causal association with the linkage disequilibrium score (LDSC) and Mendelian randomization and their shared loci with the conjunctional false discovery rate (conjFDR), transcriptome-wide association studies (TWAS), and colocalization. We observed significant genetic correlations of EA (r(g) = −0.22, p = 5.07E-05), cognitive performance (r(g) = −0.27, p = 2.44E-05), and intelligence (r(g) = −0.30, p = 3.00E-04) with AD, and a causal relationship between EA and AD (OR = 0.74, 95% CI: 0.58–0.94, p = 0.013). We identified 13 shared loci at conjFDR <0.01, of which five were novel, and prioritized three causal genes. These findings inform early prevention strategies for AD. |
format | Online Article Text |
id | pubmed-10601659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106016592023-10-27 Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease Wang, Fuxu Wang, Haoyan Yuan, Ye Han, Bing Qiu, Shizheng Hu, Yang Zang, Tianyi Front Genet Genetics Growing evidence suggests the effect of educational attainment (EA) on Alzheimer’s disease (AD), but less is known about the shared genetic architecture between them. Here, leveraging genome-wide association studies (GWAS) for AD (N = 21,982/41,944), EA (N = 1,131,881), cognitive performance (N = 257,828), and intelligence (N = 78,308), we investigated their causal association with the linkage disequilibrium score (LDSC) and Mendelian randomization and their shared loci with the conjunctional false discovery rate (conjFDR), transcriptome-wide association studies (TWAS), and colocalization. We observed significant genetic correlations of EA (r(g) = −0.22, p = 5.07E-05), cognitive performance (r(g) = −0.27, p = 2.44E-05), and intelligence (r(g) = −0.30, p = 3.00E-04) with AD, and a causal relationship between EA and AD (OR = 0.74, 95% CI: 0.58–0.94, p = 0.013). We identified 13 shared loci at conjFDR <0.01, of which five were novel, and prioritized three causal genes. These findings inform early prevention strategies for AD. Frontiers Media S.A. 2023-10-12 /pmc/articles/PMC10601659/ /pubmed/37900179 http://dx.doi.org/10.3389/fgene.2023.1243879 Text en Copyright © 2023 Wang, Wang, Yuan, Han, Qiu, Hu and Zang. 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 Wang, Fuxu Wang, Haoyan Yuan, Ye Han, Bing Qiu, Shizheng Hu, Yang Zang, Tianyi Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title | Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title_full | Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title_fullStr | Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title_full_unstemmed | Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title_short | Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease |
title_sort | integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and alzheimer’s disease |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601659/ https://www.ncbi.nlm.nih.gov/pubmed/37900179 http://dx.doi.org/10.3389/fgene.2023.1243879 |
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