Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
Merel O. Mol (Erasmus MC)
Sven J. van der Lee (Netherlands Institute for Neuroscience, Vrije Universiteit Amsterdam)
Marc Hulsman (Vrije Universiteit Amsterdam, TU Delft - Pattern Recognition and Bioinformatics, Netherlands Institute for Neuroscience)
Yolande A.L. Pijnenburg (Netherlands Institute for Neuroscience, Vrije Universiteit Amsterdam)
Phillip Scheltens (Vrije Universiteit Amsterdam, Netherlands Institute for Neuroscience)
Harro Seelaar (Erasmus MC)
John C. van Swieten (Erasmus MC)
Laura Donker Kaat (Erasmus MC)
Henne Holstege (TU Delft - Intelligent Systems, Netherlands Institute for Neuroscience, Delft Bioinformatics Lab, Vrije Universiteit Amsterdam)
Jeroen G.J. van Rooij (Erasmus MC)
(Netherlands Institute for Neuroscience)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
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.