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Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
by
Pijnenburg, Yolande A. L.
, van Swieten, John C.
, Holstege, Henne
, Scheltens, Phillip
, van der Lee, Sven J.
, Hulsman, Marc
, Seelaar, Harro
, Mol, Merel O.
, Kaat, Laura Donker
, van Rooij, Jeroen G. J.
in
Alzheimer Disease - genetics
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Apolipoproteins E - genetics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cohort Studies
/ Dementia
/ Early-onset Alzheimer disease
/ Exome Sequencing
/ Familial Alzheimer disease
/ Familial diseases
/ Families & family life
/ Family medical history
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic screening
/ Genetic testing
/ Genomes
/ Genomics
/ Geriatric Psychiatry
/ Geriatrics/Gerontology
/ Health risk assessment
/ Heterozygote
/ Humans
/ LDL-Receptor Related Proteins - genetics
/ Membrane Transport Proteins - genetics
/ Methods
/ Neurology
/ Neurosciences
/ Polymorphism
/ Quality control
/ Risk factors
/ Whole exome sequencing
2022
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Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
by
Pijnenburg, Yolande A. L.
, van Swieten, John C.
, Holstege, Henne
, Scheltens, Phillip
, van der Lee, Sven J.
, Hulsman, Marc
, Seelaar, Harro
, Mol, Merel O.
, Kaat, Laura Donker
, van Rooij, Jeroen G. J.
in
Alzheimer Disease - genetics
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Apolipoproteins E - genetics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cohort Studies
/ Dementia
/ Early-onset Alzheimer disease
/ Exome Sequencing
/ Familial Alzheimer disease
/ Familial diseases
/ Families & family life
/ Family medical history
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic screening
/ Genetic testing
/ Genomes
/ Genomics
/ Geriatric Psychiatry
/ Geriatrics/Gerontology
/ Health risk assessment
/ Heterozygote
/ Humans
/ LDL-Receptor Related Proteins - genetics
/ Membrane Transport Proteins - genetics
/ Methods
/ Neurology
/ Neurosciences
/ Polymorphism
/ Quality control
/ Risk factors
/ Whole exome sequencing
2022
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Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
by
Pijnenburg, Yolande A. L.
, van Swieten, John C.
, Holstege, Henne
, Scheltens, Phillip
, van der Lee, Sven J.
, Hulsman, Marc
, Seelaar, Harro
, Mol, Merel O.
, Kaat, Laura Donker
, van Rooij, Jeroen G. J.
in
Alzheimer Disease - genetics
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Apolipoproteins E - genetics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cohort Studies
/ Dementia
/ Early-onset Alzheimer disease
/ Exome Sequencing
/ Familial Alzheimer disease
/ Familial diseases
/ Families & family life
/ Family medical history
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic screening
/ Genetic testing
/ Genomes
/ Genomics
/ Geriatric Psychiatry
/ Geriatrics/Gerontology
/ Health risk assessment
/ Heterozygote
/ Humans
/ LDL-Receptor Related Proteins - genetics
/ Membrane Transport Proteins - genetics
/ Methods
/ Neurology
/ Neurosciences
/ Polymorphism
/ Quality control
/ Risk factors
/ Whole exome sequencing
2022
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Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
Journal Article
Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
2022
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Overview
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.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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