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Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
BACKGROUND: Many families with clinical early-onset Alzheimer’s disease (EOAD) remain genetically unexplained. A combination of genetic factors is not standardly investigated. In addition to monogenic causes, we evaluated the possible polygenic architecture in a large series of families, to assess i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158156/ https://www.ncbi.nlm.nih.gov/pubmed/35650585 http://dx.doi.org/10.1186/s13195-022-01018-3 |
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author | Mol, Merel O. van der Lee, Sven J. Hulsman, Marc Pijnenburg, Yolande A. L. Scheltens, Phillip Seelaar, Harro van Swieten, John C. Kaat, Laura Donker Holstege, Henne van Rooij, Jeroen G. J. |
author_facet | Mol, Merel O. van der Lee, Sven J. Hulsman, Marc Pijnenburg, Yolande A. L. Scheltens, Phillip Seelaar, Harro van Swieten, John C. Kaat, Laura Donker Holstege, Henne van Rooij, Jeroen G. J. |
author_sort | Mol, Merel O. |
collection | PubMed |
description | BACKGROUND: Many families with clinical early-onset Alzheimer’s disease (EOAD) remain genetically unexplained. A combination of genetic factors is not standardly investigated. In addition to monogenic causes, we evaluated the possible polygenic architecture in a large series of families, to assess if genetic testing of familial EOAD could be expanded. METHODS: Thirty-six pedigrees (77 patients) were ascertained from a larger cohort of patients, with relationships determined by genetic data (exome sequencing data and/or SNP arrays). All families included at least one AD patient with symptom onset <70 years. We evaluated segregating rare variants in known dementia-related genes, and other genes or variants if shared by multiple families. APOE was genotyped and duplications in APP were assessed by targeted test or using SNP array data. We computed polygenic risk scores (PRS) compared with a reference population-based dataset, by imputing SNP arrays or exome sequencing data. RESULTS: In eight families, we identified a pathogenic variant, including the genes APP, PSEN1, SORL1, and an unexpected GRN frameshift variant. APOE-ε4 homozygosity was present in eighteen families, showing full segregation with disease in seven families. Eight families harbored a variant of uncertain significance (VUS), of which six included APOE-ε4 homozygous carriers. PRS was not higher in the families combined compared with the population mean (beta 0.05, P = 0.21), with a maximum increase of 0.61 (OR = 1.84) in the GRN family. Subgroup analyses indicated lower PRS in six APP/PSEN1 families compared with the rest (beta −0.22 vs. 0.10; P = 0.009) and lower APOE burden in all eight families with monogenic cause (beta 0.29 vs. 1.15, P = 0.010). Nine families remained without a genetic cause or risk factor identified. CONCLUSION: Besides monogenic causes, we suspect a polygenic disease architecture in multiple families based on APOE and rare VUS. The risk conveyed by PRS is modest across the studied families. Families without any identified risk factor render suitable candidates for further in-depth genetic evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01018-3. |
format | Online Article Text |
id | pubmed-9158156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91581562022-06-02 Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families Mol, Merel O. van der Lee, Sven J. Hulsman, Marc Pijnenburg, Yolande A. L. Scheltens, Phillip Seelaar, Harro van Swieten, John C. Kaat, Laura Donker Holstege, Henne van Rooij, Jeroen G. J. Alzheimers Res Ther Research BACKGROUND: Many families with clinical early-onset Alzheimer’s disease (EOAD) remain genetically unexplained. A combination of genetic factors is not standardly investigated. In addition to monogenic causes, we evaluated the possible polygenic architecture in a large series of families, to assess if genetic testing of familial EOAD could be expanded. METHODS: Thirty-six pedigrees (77 patients) were ascertained from a larger cohort of patients, with relationships determined by genetic data (exome sequencing data and/or SNP arrays). All families included at least one AD patient with symptom onset <70 years. We evaluated segregating rare variants in known dementia-related genes, and other genes or variants if shared by multiple families. APOE was genotyped and duplications in APP were assessed by targeted test or using SNP array data. We computed polygenic risk scores (PRS) compared with a reference population-based dataset, by imputing SNP arrays or exome sequencing data. RESULTS: In eight families, we identified a pathogenic variant, including the genes APP, PSEN1, SORL1, and an unexpected GRN frameshift variant. APOE-ε4 homozygosity was present in eighteen families, showing full segregation with disease in seven families. Eight families harbored a variant of uncertain significance (VUS), of which six included APOE-ε4 homozygous carriers. PRS was not higher in the families combined compared with the population mean (beta 0.05, P = 0.21), with a maximum increase of 0.61 (OR = 1.84) in the GRN family. Subgroup analyses indicated lower PRS in six APP/PSEN1 families compared with the rest (beta −0.22 vs. 0.10; P = 0.009) and lower APOE burden in all eight families with monogenic cause (beta 0.29 vs. 1.15, P = 0.010). Nine families remained without a genetic cause or risk factor identified. CONCLUSION: Besides monogenic causes, we suspect a polygenic disease architecture in multiple families based on APOE and rare VUS. The risk conveyed by PRS is modest across the studied families. Families without any identified risk factor render suitable candidates for further in-depth genetic evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01018-3. BioMed Central 2022-06-01 /pmc/articles/PMC9158156/ /pubmed/35650585 http://dx.doi.org/10.1186/s13195-022-01018-3 Text en © The Author(s) 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 Mol, Merel O. van der Lee, Sven J. Hulsman, Marc Pijnenburg, Yolande A. L. Scheltens, Phillip Seelaar, Harro van Swieten, John C. Kaat, Laura Donker Holstege, Henne van Rooij, Jeroen G. J. Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title | Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title_full | Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title_fullStr | Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title_full_unstemmed | Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title_short | Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families |
title_sort | mapping the genetic landscape of early-onset alzheimer’s disease in a cohort of 36 families |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158156/ https://www.ncbi.nlm.nih.gov/pubmed/35650585 http://dx.doi.org/10.1186/s13195-022-01018-3 |
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