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Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease
Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer’s disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134547/ https://www.ncbi.nlm.nih.gov/pubmed/37101235 http://dx.doi.org/10.1186/s40478-023-01563-4 |
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author | Ali, Muhammad Archer, Derek B. Gorijala, Priyanka Western, Daniel Timsina, Jigyasha Fernández, Maria V. Wang, Ting-Chen Satizabal, Claudia L. Yang, Qiong Beiser, Alexa S. Wang, Ruiqi Chen, Gengsheng Gordon, Brian Benzinger, Tammie L. S. Xiong, Chengjie Morris, John C. Bateman, Randall J. Karch, Celeste M. McDade, Eric Goate, Alison Seshadri, Sudha Mayeux, Richard P. Sperling, Reisa A. Buckley, Rachel F. Johnson, Keith A. Won, Hong-Hee Jung, Sang-Hyuk Kim, Hang-Rai Seo, Sang Won Kim, Hee Jin Mormino, Elizabeth Laws, Simon M. Fan, Kang-Hsien Kamboh, M. Ilyas Vemuri, Prashanthi Ramanan, Vijay K. Yang, Hyun-Sik Wenzel, Allen Rajula, Hema Sekhar Reddy Mishra, Aniket Dufouil, Carole Debette, Stephanie Lopez, Oscar L. DeKosky, Steven T. Tao, Feifei Nagle, Michael W. Hohman, Timothy J. Sung, Yun Ju Dumitrescu, Logan Cruchaga, Carlos |
author_facet | Ali, Muhammad Archer, Derek B. Gorijala, Priyanka Western, Daniel Timsina, Jigyasha Fernández, Maria V. Wang, Ting-Chen Satizabal, Claudia L. Yang, Qiong Beiser, Alexa S. Wang, Ruiqi Chen, Gengsheng Gordon, Brian Benzinger, Tammie L. S. Xiong, Chengjie Morris, John C. Bateman, Randall J. Karch, Celeste M. McDade, Eric Goate, Alison Seshadri, Sudha Mayeux, Richard P. Sperling, Reisa A. Buckley, Rachel F. Johnson, Keith A. Won, Hong-Hee Jung, Sang-Hyuk Kim, Hang-Rai Seo, Sang Won Kim, Hee Jin Mormino, Elizabeth Laws, Simon M. Fan, Kang-Hsien Kamboh, M. Ilyas Vemuri, Prashanthi Ramanan, Vijay K. Yang, Hyun-Sik Wenzel, Allen Rajula, Hema Sekhar Reddy Mishra, Aniket Dufouil, Carole Debette, Stephanie Lopez, Oscar L. DeKosky, Steven T. Tao, Feifei Nagle, Michael W. Hohman, Timothy J. Sung, Yun Ju Dumitrescu, Logan Cruchaga, Carlos |
author_sort | Ali, Muhammad |
collection | PubMed |
description | Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer’s disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2 × 10(–311), MAF = 0.19), driven by APOE ɛ4, and five additional novel associations (APOE ε2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE ɛ4. APOE ɛ4 and ε2 showed race specific effect with stronger association in Non-Hispanic Whites, with the lowest association in Asians. Besides the APOE, we also identified three other genome-wide loci: ABCA7 (rs12151021/chr19p.13.3; β = 0.07, SE = 0.01, P = 9.2 × 10(–09), MAF = 0.32), CR1 (rs6656401/chr1q.32.2; β = 0.1, SE = 0.02, P = 2.4 × 10(–10), MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; β = 0.16, SE = 0.03, P = 1.1 × 10(–09), MAF = 0.06) that all colocalized with AD risk. Sex-stratified analyses identified two novel female-specific signals on chr5p.14.1 (rs529007143, β = 0.79, SE = 0.14, P = 1.4 × 10(–08), MAF = 0.006, sex-interaction P = 9.8 × 10(–07)) and chr11p.15.2 (rs192346166, β = 0.94, SE = 0.17, P = 3.7 × 10(–08), MAF = 0.004, sex-interaction P = 1.3 × 10(–03)). We also demonstrated that the overall genetic architecture of brain amyloidosis overlaps with that of AD, Frontotemporal Dementia, stroke, and brain structure-related complex human traits. Overall, our results have important implications when estimating the individual risk to a population level, as race and sex will needed to be taken into account. This may affect participant selection for future clinical trials and therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-023-01563-4. |
format | Online Article Text |
id | pubmed-10134547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101345472023-04-28 Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease Ali, Muhammad Archer, Derek B. Gorijala, Priyanka Western, Daniel Timsina, Jigyasha Fernández, Maria V. Wang, Ting-Chen Satizabal, Claudia L. Yang, Qiong Beiser, Alexa S. Wang, Ruiqi Chen, Gengsheng Gordon, Brian Benzinger, Tammie L. S. Xiong, Chengjie Morris, John C. Bateman, Randall J. Karch, Celeste M. McDade, Eric Goate, Alison Seshadri, Sudha Mayeux, Richard P. Sperling, Reisa A. Buckley, Rachel F. Johnson, Keith A. Won, Hong-Hee Jung, Sang-Hyuk Kim, Hang-Rai Seo, Sang Won Kim, Hee Jin Mormino, Elizabeth Laws, Simon M. Fan, Kang-Hsien Kamboh, M. Ilyas Vemuri, Prashanthi Ramanan, Vijay K. Yang, Hyun-Sik Wenzel, Allen Rajula, Hema Sekhar Reddy Mishra, Aniket Dufouil, Carole Debette, Stephanie Lopez, Oscar L. DeKosky, Steven T. Tao, Feifei Nagle, Michael W. Hohman, Timothy J. Sung, Yun Ju Dumitrescu, Logan Cruchaga, Carlos Acta Neuropathol Commun Research Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer’s disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2 × 10(–311), MAF = 0.19), driven by APOE ɛ4, and five additional novel associations (APOE ε2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE ɛ4. APOE ɛ4 and ε2 showed race specific effect with stronger association in Non-Hispanic Whites, with the lowest association in Asians. Besides the APOE, we also identified three other genome-wide loci: ABCA7 (rs12151021/chr19p.13.3; β = 0.07, SE = 0.01, P = 9.2 × 10(–09), MAF = 0.32), CR1 (rs6656401/chr1q.32.2; β = 0.1, SE = 0.02, P = 2.4 × 10(–10), MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; β = 0.16, SE = 0.03, P = 1.1 × 10(–09), MAF = 0.06) that all colocalized with AD risk. Sex-stratified analyses identified two novel female-specific signals on chr5p.14.1 (rs529007143, β = 0.79, SE = 0.14, P = 1.4 × 10(–08), MAF = 0.006, sex-interaction P = 9.8 × 10(–07)) and chr11p.15.2 (rs192346166, β = 0.94, SE = 0.17, P = 3.7 × 10(–08), MAF = 0.004, sex-interaction P = 1.3 × 10(–03)). We also demonstrated that the overall genetic architecture of brain amyloidosis overlaps with that of AD, Frontotemporal Dementia, stroke, and brain structure-related complex human traits. Overall, our results have important implications when estimating the individual risk to a population level, as race and sex will needed to be taken into account. This may affect participant selection for future clinical trials and therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-023-01563-4. BioMed Central 2023-04-26 /pmc/articles/PMC10134547/ /pubmed/37101235 http://dx.doi.org/10.1186/s40478-023-01563-4 Text en © The Author(s) 2023 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 Ali, Muhammad Archer, Derek B. Gorijala, Priyanka Western, Daniel Timsina, Jigyasha Fernández, Maria V. Wang, Ting-Chen Satizabal, Claudia L. Yang, Qiong Beiser, Alexa S. Wang, Ruiqi Chen, Gengsheng Gordon, Brian Benzinger, Tammie L. S. Xiong, Chengjie Morris, John C. Bateman, Randall J. Karch, Celeste M. McDade, Eric Goate, Alison Seshadri, Sudha Mayeux, Richard P. Sperling, Reisa A. Buckley, Rachel F. Johnson, Keith A. Won, Hong-Hee Jung, Sang-Hyuk Kim, Hang-Rai Seo, Sang Won Kim, Hee Jin Mormino, Elizabeth Laws, Simon M. Fan, Kang-Hsien Kamboh, M. Ilyas Vemuri, Prashanthi Ramanan, Vijay K. Yang, Hyun-Sik Wenzel, Allen Rajula, Hema Sekhar Reddy Mishra, Aniket Dufouil, Carole Debette, Stephanie Lopez, Oscar L. DeKosky, Steven T. Tao, Feifei Nagle, Michael W. Hohman, Timothy J. Sung, Yun Ju Dumitrescu, Logan Cruchaga, Carlos Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title | Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title_full | Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title_fullStr | Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title_full_unstemmed | Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title_short | Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease |
title_sort | large multi-ethnic genetic analyses of amyloid imaging identify new genes for alzheimer disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134547/ https://www.ncbi.nlm.nih.gov/pubmed/37101235 http://dx.doi.org/10.1186/s40478-023-01563-4 |
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