- Open Access
Discovery and validation of dominantly inherited Alzheimer’s disease mutations in populations from Latin America
Alzheimer's Research & Therapy volume 14, Article number: 108 (2022)
In fewer than 1% of patients, AD is caused by autosomal dominant mutations in either the presenilin 1 (PSEN1), presenilin 2 (PSEN2), or amyloid precursor protein (APP) genes. The full extent of familial AD and frequency of these variants remains understudied in Latin American (LatAm) countries. Due to the rare nature of these variants, determining the pathogenicity of a novel variant in these genes can be challenging. Here, we use a systematic approach to assign the likelihood of pathogenicity in variants from densely affected families in Latin American populations.
Clinical data was collected from LatAm families at risk for DIAD. Symptomatic family members were identified and assessed by local clinicians and referred for genetic counseling and testing. To determine the likelihood of pathogenicity among variants of unknown significance from LatAm populations, we report pedigree information, frequency in control populations, in silico predictions, and cell-based models of amyloid-beta ratios.
We identified five novel variants in the presenilin1 (PSEN1) gene from Brazilian and Mexican families. The mean age at onset in newly identified families was 43.5 years (range 36–54). PSEN1 p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, p.Ala275Thr, and p.Ile414Thr variants have not been reported in PubMed, ClinVar, and have not been reported in dominantly inherited AD (DIAD) families. We found that PSEN1 p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, and p.Ala275Thr produce Aβ profiles consistent with known AD pathogenic mutations. PSEN1 p.Ile414Thr did not alter Aβ in a manner consistent with a known pathogenic mutation.
Our study provides further insights into the genetics of AD in LatAm. Based on our findings, including clinical presentation, imaging, genetic, segregations studies, and cell-based analysis, we propose that PSEN1 p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, and p.Ala275Thr are likely pathogenic variants resulting in DIAD, whereas PSEN1 p.Ile414Thr is likely a risk factor. This report is a step forward to improving the inclusion/engagement of LatAm families in research. Family discovery is of great relevance for the region, as new initiatives are underway to extend clinical trials and observational studies to families living with DIAD.
Alzheimer’s disease (AD) is the most common cause of dementia  and has emerged as an important societal issue and a global priority . In the absence of clinically meaningful disease-modifying treatments, the number of adults with dementia worldwide has been projected to more than triple by 2050 relative to 2010 levels [3,4,5]. Much of the increase is projected to occur in low and middle-income countries (LMICs) . Countries in Latin America (LatAm) will experience the largest dementia increase and impact. However, genetics of early-onset AD remain markedly under-explored in LatAm populations [7,8,9].
Genetic determinants of AD include pathogenic variants in the amyloid precursor protein (APP), presenilin 1 (PSEN1), or presenilin 2 (PSEN2) genes leading to dominantly inherited AD (DIAD) [10, 11], and susceptibility loci harboring alleles that modify the risk of developing the disease [12, 13]. Despite its low frequency relative to sporadic AD, families living with dominantly inherited Alzheimer disease (DIAD) mutations face a higher burden of disease due to the significant early onset.
To date, more than twenty-four dominantly inherited Alzheimer disease (DIAD) pathogenic variants have been reported in Latin American (LatAm) countries, including twenty-one PSEN1, two PSEN2, and one APP variant, with unique characteristics including the presence of common ancestors, evidence of a high grade of admixture and ancestry background (e.g., African, Western European, Asia, and Native American) and presence in large extended families following regional distribution usually related to founder effects . Yet, the number and distribution of DIAD pathogenic variants in LatAm remain underestimated [9, 11, 14]. In 2019, the Dominantly Inherited Alzheimer Network (DIAN), an international network designed to follow families with mutations in APP, PSEN1, and PSEN2 that cause DIAD, launched the DIAN-LatAm initiative to identify new DIAD families from LatAm countries and offer research opportunities and experimental therapies to prevent, delay or treat AD. The DIAN-LatAm network includes six performance sites in Mexico (Guadalajara and Mexico City), Colombia (Medellín), Brazil (Sao Paulo), and Argentina (Buenos Aires, and Salta). Since its inception, the DIAN-LatAm and DIAN Expanded Registry (DIAN EXR; https://dian.wustl.edu/our-research/registry/) have collaborated to identify new families with AD mutations and provide them information on research opportunities, creating a cohort-ready population that may accelerate study recruitment and completion. In a partnership between DIAN and LatAm countries (e.g., Mexico, Costa Rica, Brazil, Colombia, Chile, and Argentina, among others), we aimed to identify new pathogenic variants of familial Alzheimer’s in Latin America and refine the pathogenicity criteria. In this effort, we have screened 34 families at risk for DIAD (families with a history of early-onset dementia in two or more generations), identifying 15 families with known pathogenic variants  and five with variants of unknown significance. Two families were negative for DIAD variants or other genes associated with autosomal dominant cause of dementia (e.g., MAPT, GRN, TARDBP, FUS), probands on those families were APOE4 carriers; 11 families are undergoing additional genetic counseling for future genetic testing. In this manuscript, we prioritize novel variant descriptions over newly-identified carriers of previously identified variants. Frequency, distribution by country, and clinical characteristics of known pathogenic variants have been described elsewhere .
Here, we describe five new families from LatAM (four from Brazil and one from Mexico) with multiple generations of early-onset AD (<65 years). At the time of enrollment, whether the previously uncharacterized variant is the cause of disease in these families remained unknown.
To address this gap, we took a multi-pronged approach to determine the pathogenicity of these five PSEN1 variants by performing clinical-cognitive, genetic, and cell-based analyses.
Participant evaluation was done in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki). All individuals signed an informed consent approved by the Institutional Review Board of the University of Sao Paulo, School of Medicine (Brazil), the National Institute of Neurology and Neurosurgery (Mexico), and Instituto Nacional de Medicina Genómica (Mexico).
Clinical data was collected from five LatAM families at risk for DIAD (two or more generations with a family history of early-onset dementia (age of onset <65). Symptomatic family members were identified and assessed by local clinicians and referred for genetic counseling and testing. At least one member per family (proband/index case) underwent medical, neurological, and neuropsychological evaluations, including the Mini-Mental State Examination (MMSE)  or Montreal Cognitive Assessment (MoCA)  with additional neuropsychological tests (e.g., verbal fluency, logical memory) and dementia functional scales (e.g., Clinical Dementia Rating (CDR®) , Functional Activities Questionnaire). Clinical diagnosis of symptomatic AD or cognitive status (cognitive healthy vs. cognitive impaired) was done without knowledge of mutation status and according to DSM-IV criteria.
Genetic screening and counseling
The genetic counseling and testing followed the Huntington Disease Society of America’s Guidelines for Genetic Testing for Huntington Disease , which is considered the gold standard for genetic testing for adult-onset conditions. All families received two–three consultations, including pre-test sessions and post-test disclosure.
Isolation of genomic DNA
For the Brazilian families, DNA was isolated from buccal swab brushes. A DNA sample from at least one proband per family was sequenced via Mendelics® laboratory. Family segregation studies were performed in two out of five families. For the Mexican family, DNA was extracted using Maxwell® 16 Blood DNA Purification Kit (Promega, Madison, WI, USA) according to the manufacturer’s recommendations. The purity and concentration of the DNA sample were measured using NanoDrop 1000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and Qubit fluorometer (Thermo Fisher Scientific, Waltham, MA, USA).
Massive parallel sequencing (NGS)
Exome sequencing was performed with the CES v2 kit (Sophia Genetics DDM, Saint Sulpice, Switzerland). Library preparation was done according to the manufacturer’s protocol. The sequencing was performed on NextSeq 500 Instrument (illumina San Diego, CA). For mutation screening, we focused on missense, nonsense, splicing, and frameshift variants in Mendelian AD (PSEN1, PSEN2, and APP), frontotemporal dementia (MAPT, GRN, TARDBP, VCP, CHMP2B, FUS, and TBK1), and prion disease genes (PRNP). Variants not previously reported in (1) the Human Gene Mutation Database (HGMD) (www.hgmd.cf.ac.uk) or ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/), (2) the AlzForum (www.alzforum.org/mutations) database, or (3) in a literature search, were considered as novel variants.
Bioinformatic analysis of novel variants
To determine the frequency of the novel variants in the population, we examined two population-based exome sequencing databases: the Exome Variant Server (EVS, https://evs.gs.washington.edu/EVS/) and the Genome Aggregation Database (GnomAD, https://gnomad.broadinstitute.org/). Sorting Intolerant From Tolerant (SIFT)  was used to predict whether the amino acid change would be disruptive to the encoded protein. The Combined Annotation Dependent Depletion (CADD, https://cadd.gs.washington.edu/score) score was used to bioinformatically predict the pathogenicity of the variants . Final pathogenicity classification was assigned as described by Hsu et al. . All variant nomenclature is based on the hg19 reference genome assembly and PSEN1 transcript ENST00000324501.5.
Cloning and site-directed mutagenesis
The full-length PSEN1 cDNA cloned into pcDNA3.1 myc/his vector was used for mutagenesis (Brunkan et al., 2005). PSEN1 variants of unknown significance (Table 1) were introduced into the PSEN1 cDNA using a QuikChange Lightning Site-Directed Mutagenesis Kit (Agilent Technologies, Santa Clara, CA, USA). Clones were sequenced to confirm the presence of the variant and the absence of additional modifications. PSEN1 WT and the pathogenic PSEN1 exon 9 deletion (ΔE9) mutation were included as controls.
Mouse neuroblastoma cells in which endogenous PSEN1 and PSEN2 were knocked out by CRISPR/Cas9 (N2A-PS1/PS2 KO)  were used to assess the impact of variants of unknown significance in PSEN1 on Aβ levels. Human APP WT (695 isoform) was co-transfected along with the PSEN1 constructs. N2A-PS1/PS2 KO cells were maintained in equal amounts of Dulbecco’s modified Eagle’s medium and Opti-MEM, supplemented with 5% fetal bovine serum, 2 mM L-glutamine, and 100 μg/mL penicillin/streptomycin. Upon reaching confluency, cells were transiently transfected with Lipofectamine 2000 (Life Technologies). Culture media was replaced after 24 h, and cells were incubated for another 24 h prior to analysis of extracellular Aβ in the media.
Aβ Enzyme-linked immunosorbent assay (ELISA)
Conditioned media was collected and centrifuged at 3000×g at 4°C for 10 min to remove cell debris. Levels of Aβ40 and Aβ42 in cell culture media were measured by sandwich ELISA as directed by the manufacturer (Life Technologies, Carlsbad, CA, USA). Statistical difference was measured using a one-way ANOVA and post hoc Dunnett test.
Cell pellets were extracted on ice in lysis buffer (50 mM Tris pH 7.6, 2 mM EDTA, 150 mM NaCl, 1% NP40, 0.5% Triton 100×, protease inhibitor cocktail) and centrifuged at 14,000×g at 4°C. Protein concentration was measured by BCA as described by the manufacturer (Pierce-Thermo). Standard SDS-PAGE was performed in 4–20% Criterion TGX gels (Bio-Rad). Samples were boiled for 5 min in Laemmli sample buffer prior to electrophoresis (Laemmli, 1970). Immunoblots were probed with 6E10 (1:1000; Millipore) and goat-anti-mouse-HRP (1:5000; Thermo Fisher).
Derived from Guerreiro et al. , Hsu et al. proposed a method to integrate bioinformatic and cell-based data when family segregation data is limited or unavailable . First, genetic association is evaluated by determining whether the variant is identified in two or more unrelated AD cases and absent in a large population series. If the variant meets these criteria, the pathogenicity is determined to be probable. Next, functional evaluation weighs the impact of the variant on Aβ levels in a cell-based model. If the variant increases Aβ42, both Aβ42 and Aβ40, or increases the Aβ42/40, it is determined to be likely pathogenic. If the variant does not alter Aβ levels in a cell-based model, conservation is maintained between PSEN1 and PSEN2, other mutations occur at the residue, and in silico analyses predicting damaging effects, then the variant is determined to be a risk factor. If these criteria are not met, the variant is determined to be a benign polymorphism. This approach was used to evaluate the novel variants identified in five kindreds (Fig. 1).
Novel variants and clinical features
We identified five novel variants in the PSEN1 gene (Family A: p.Val103_Ser104delinsGly, Family B: p.Ala275Thr, Family C: p.Lys395Ile, Family D: p.Pro264Se, Family E: p.Ile414Thr). No additional variants were detected in PSEN2, APP, or other dementia causative genes (e.g., MAPT, GRN, and TARDBP). The main clinical features of the PSEN1 variant carriers are summarized in Table 1. The mean age at onset in newly identified families was 43.5 years (range 36–54), which is consistent with early-onset AD due to PSEN1.
Family A: p.Val103_Ser104delinsGly
The proband (patient III1, Fig. 2a) came from a family with a history of early-onset dementia (<65 years) in three generations. Cognitive complaints emerged at age 39 years, characterized by memory loss, word-finding difficulties, and geographic disorientation. The proband was first assessed one year after symptom onset: MMSE score was 19, CDR® was 1, and Functional Activities Questionnaire (Pfeffer) score was 11. Brain MRI showed global atrophy, and FDG-PET revealed hypometabolism in the posterior cingulate cortex, precuneus, and temporoparietal cortices. One year later, the proband started to have myoclonus and the MMSE score was 13. Two years later, the proband was unable to identify family members, got lost inside the house, and could no longer recognize himself in the mirror; MMSE score was eight. APOE haplotype was E3/E3. The patient passed away at the age of 44 years due to complications of dementia (pneumonia), 5 years after disease onset. Seizures were described in the last months of his disease. The proband had one sibling diagnosed with early-onset AD (patient III2, Fig. 2a), as well as two first-degree cousins (patient III5 and III6, Fig. 2a).
Sequencing of the proband DNA revealed a PSEN1 variant that would result in the deletion of the amino acids valine at codon 103 and serine at codon 104 and the insertion of a glycine in place, without changing the translation-reading frame (in-frame) (p.Val103_Ser104delinsGly). The proband’s symptomatic sibling and cousins carry the same variant and the asymptomatic aunt (patient II5, Fig. 2a) and sibling (patient III3, Fig. 2a) did not carry the variant, suggesting that the variant segregated with disease in this family.
To explore whether these variants of unknown significance in PSEN1 impact Aβ levels in a manner consistent with known pathogenic mutations in PSEN1, we used a N2A-PS1/PS2 KO cell line in which endogenous presenilin genes are deleted [22, 25]. PSEN1 p.Val103_Ser104delinsGly produced a significant increase in the extracellular Aβ42/40 ratio compared with PSEN1 WT, which was consistent with known pathogenic mutations (Fig. 3).
Finally, to determine pathogenicity, we used the algorithm as described by Hsu et al. . PSEN1 p.Val103_Ser104delinsGly segregates with the disease. This variant was absent from the large population-based gnomAD genome and exome databases (Table 2), with no prior documentation in the medical literature. A missense variant in the same position (p.Val103Gly)  was previously reported and identified as a variant of unknown significance. The absence of a rare variant in large, population-based cohorts suggests that the variant may be pathological in nature and thus evolutionarily selected against. This residue is highly conserved between PSEN1 and PSEN2. In a cell model, PSEN1 p.Val103_Ser104delinsGly, produced Aβ profiles consistent with known pathogenic mutations. Thus, the PSEN1 p.Val103_Ser104delinsGly variant meets the proposed criteria for designation as pathogenic.
Family B: p.Ala275Thr
The index case (patient II1, Fig. 2b) in this family developed depressive symptoms and loss of episodic memory at 45 years old, followed by aberrant motor symptoms and obsessive-compulsive tendencies, manifesting with increased cleaning behaviors. By 47 years, language problems ensued, and at age 49 (age at which was first assessed) profound expressive aphasia was noticed. There was no history or signs of parkinsonism, myoclonus, psychotic symptoms, or seizures. Brain MRI revealed hippocampi and temporoparietal atrophy. Brain SPECT revealed right posterior parietal hypoperfusion. The proband was diagnosed with early-onset AD. The proband’s parent (patient I1, Fig. 2b) had AD with onset at age 56 years and death at 66 years.
Sequencing of the proband DNA (Fig. 2) revealed a single base pair substitution (GCC to ACC) at codon 275 in exon 8 of PSEN1, resulting in an alanine-to-threonine change (p.Ala275Thr). PSEN1 p.Ala275Thr was absent in from both gnomAD genome and exome databases. This residue was highly conserved between PSEN1 and PSEN2. PSEN1 p.Ala275Thr has not been reported in ClinVar, but two variants in the same position (p.A275V, p.A275S) were previously reported and identified as pathogenic [27, 28], supporting the damaging effect of amino acid changes in position 275. Cells expressing PSEN1 pAla275Thr produced a significant increase in Aβ42 and Aβ40 levels without altering the ratio (Fig. 3). These findings suggest that PSEN1 p.Ala275Thr is a likely pathogenic variant.
Family C: p.Lys395Ile
The proband (patient III2, Fig. 2c) was identified in a Brazilian family with three generations of early-onset AD and mean age-at-symptomatic onset of 51.3 years. The proband’s symptoms started at the age of 51 years, with episodic memory problems and later development of anomia and geographic disorientation. The proband had no major neuropsychiatric symptoms aside from apathy. Neurological examination revealed a postural tremor of both hands, which had been present since 30s (suggestive of essential tremor) and had mild rigidity in his upper right limb. His first MMSE score (at age 54 years) was 16, with progressive worsening. Four years after the first assessment (seven years after the onset), MMSE score was six. First MRI was interpreted as “normal.” EEG was normal. APOE haplotype was E3/E3. Blood tests did not reveal an alternative cause for dementia.
The proband’s parent (patient II1, Fig. 2c) was diagnosed with AD and parkinsonism, with age-at-symptomatic onset of 55 years, and the grandparent (patient I1, Fig. 2b) had similar symptoms with onset at 60 years. The proband’s parent died at age 53 due to a workplace accident. The proband’s sibling (patient III3, Fig. 2a) was diagnosed with early-onset AD with symptomatic onset at age 55 years.
Sequencing of the proband revealed a single base substitution (AAA to ATA) at codon 395 in exon 11 of PSEN1, resulting in a replacement of the lysine amino acid at codon 395 by isoleucine (PSEN1 p.Lys395Ile). The variant was present in several family members, segregating with symptomatic disease. The proband’s sibling carried the same variant (patient III3, Fig. 2c). The asymptomatic older sibling (patient III1, Fig. 2a) did not carry the variant (at the time of testing the older sibling was eight years older than the mean family age-at-symptomatic onset). PSEN1 p.Lys395Ile was absent from population-based databases (gnomAD genome and exome) and not reported in ClinVar (as of Dec 2021). Lysine at position 395 is highly conserved across species, suggesting that its replacement by isoleucine may be deleterious. In a cell model, PSEN1 p.Lys395Ile led to a significant increased extracellular Aβ42/40 ratio. Applying the algorithm for assessing pathogenicity, we propose that PSEN1 p.Lys395Ile represents a pathogenic variant.
Family D: p.Pro264Ser
The proband (patient III2, Fig. 2d) was identified in a family with three generations of early-onset AD and with a mean age-at-symptomatic onset of 48.5 years. The proband started forgetting messages at work when she was 45 years old. Memory problems worsened over the coming 1–2 years, eventually requiring cessation of work. The proband had episodes of geographic disorientation and became more disorganized. During the first clinical assessment (at age 48 years), the MoCA score was 22 (points lost for impaired clock draw and inability to recall five words after a delay). Neuropsychological testing confirmed impaired verbal and visual recall, with relative preservation of semantic and phonemic fluency.
Sequencing of the proband (patient III2, Fig. 2d) revealed a single base pair substitution (CCT to TCT) at codon 264 in exon 8 of PSEN1, resulting in a proline-to-serine change (PSEN1 p.Pro264Ser). This variant was not identified in ClinVar (as of Dec 2021) and was absent from gnomAD genome and exome databases (Table 1). This residue is highly conserved between PSEN1 and PSEN2. Another variant in the same position (p.Pro264Leu) [29, 30] was previously reported and identified as pathogenic, supporting the damaging effect of amino acid change in position 264. Cells expressing PSEN1 p.Pro264Ser produced a significant increase in the extracellular Aβ42/40 ratio (Fig. 3). Thus, applying the algorithm for assessing pathogenicity, we propose that the PSEN1 p.Pro264Ser represents a likely pathogenic variant.
Family E: p.Ile414Thr
The proband (patient III1, Fig. 2e) developed irritability and apathy at 51 years old, followed by progressive memory loss. At baseline assessment, the proband scored 23/30 on the MMSE. Global CDR® was 0.5 (very mild dementia). Reassessment one-and-a-half years later revealed rapid progression in the clinical course, scoring 16/30 on the MMSE. Global CDR® was 2 (moderate-severity dementia). Ideomotor apraxia was present on examination. No myoclonic jerks or abnormal movements were observed. APOE haplotype was E3/E4. The proband’s parent developed a “progressive memory decline” at age 50, and several family members (Fig. 2) showed similar clinical presentation. This family originated in a remote community in rural Mexico, with a few family members dispersed across Mexico City. To date, 6 of 12 family members within the age at onset range have reported cognitive impairment, three of whom are deceased. Segregation of the variant was not possible in this family. The mean age-at-symptomatic onset in this family is 59.0 years (range 50–74).
Sequencing of the proband (patient III1, Fig. 2e) revealed a single base pair substitution (ATT to ACT) at codon 414 in exon 11 of PSEN1, resulting in an isoleucine-to-threonine change (PSEN1 p.Ile414Thr). PSEN1 p.Ile414Thr was absent in 250 Mexican mestizo exomes and from both gnomAD genome and exome, and has not been reported in ClinVar (as of December 2021). This residue is highly conserved between PSEN1 and PSEN2. Cells expressing PSEN1 p.Ile414Thr produced Aβ42 and Aβ40 levels similar to PSEN1 WT and did not alter Aβ in a manner consistent with a known pathogenic mutation. While the bioinformatic predictions are consistent with potential pathogenicity, bioinformatic findings alone are not sufficient to define pathogenicity. Based on the current evidence (insufficient segregation data in the affected family and in vitro results indicating that PSEN1 p.Ile414Thr does not alter Aβ), we propose that PSEN1 p.Ile414Thr represents an AD risk factor.
Finally, for all the novel variants, N2A PS1/PS2 KO cells were co-transfected with APP and PSEN1 variants to further analyzed for APP expression. Expression was confirmed with immunoblotting, suggesting the alteration in Aβ42/40 levels in PSEN1 variants was independent of APP expression (Fig. 3C).
We identified one novel frameshift deletion in PSEN1 and four novel missense variants in PSEN1 in LatAm families from Brazil and Mexico. These novel variants were not present in the public sequencing databases including population-matched individuals or population-matched exomes (as of Dec 2021). Four of these variants (p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, p.Ala275Thr) showed evidence of elevated levels of Aβ42 and Aβ42/Aβ40 ratios, similar to known pathogenic PSEN1 variants and were classified as likely pathogenic. Additionally, two PSEN1 variants (p.Val103_Ser104delinsGly and p.Lys395Ile) were shown to segregate with disease in each family, which is the gold standard for pathogenicity. We did not have sufficient evidence to classify PSEN1 p.Ile414Thr as pathogenic. According to the ACMG/CAP guidelines , PSEN1 p.Ile414Thr would have been classified as likely pathogenic. The position Ile414 and nucleotide c.1241 are highly conserved across species and the amino-acid change is predicted to be deleterious using in silico programs (BayesDel_addAF, DANN, DEOGEN2, EIGEN, FATHMM-MKL, LIST-S2, M-CAP, MVP, MutationAssessor, MutationTaster, PrimateAI, and SIFT). The variant is absent from the population databases, including 250 Mexican Mestizo individuals supporting that it is not a common variant in the Mexican population. However, in vitro assay results showed this variant did not alter Aβ levels in a manner consistent with pathogenic mutations, and segregation studies were not possible for this family. Future studies should explore this variant in more detail.
Pathogenic presenilin mutations are enriched in the transmembrane domain. Interestingly, the variants of unknown significance were also enriched in the transmembrane domain and are highly conserved between PSEN1 and PSEN2. The location and conservation of these variants support a prediction of likely pathogenicity based on in silico analyses alone .
PSEN1 p.Val103_Ser104delinsGly, p.Pro264Ser, and p.Ala275Thr have not been previously reported. However, these sites have other mutations reported: p.V103G, p.Pro264Leu, p.Ala275Ser, and p.Ala275Val. PSEN1 p.V103G and p.Ala275Ser have a clinical presentation of AD but the pathogenicity has not yet been confirmed, whereas PSEN1 p.Pro264Leu and p.Ala275Val have been classified as pathogenic and likely pathogenic, respectively [28, 29, 32,33,34]. Pathogenic mutations have not been described at sites impacted by PSEN1 p.Lys395Ile and p.Ile414Thr. Notably, PSEN1 p.Pro264Ser and p.Lys395Ile occur near the aspartate residues that regulate the catalytic activity of PSEN1. Pathogenic mutations PSEN1 p.Pro267Ser and p.Pr0355Ser also occur near the aspartate residues and have been shown to alter γ-secretase activity [35,36,37]. Thus, these variants of unknown significance may impact the Aβ42/Aβ40 ratio via disrupted catalytic activity of PSEN1 and the γ-secretase complex. PSEN1 p.Ala396Thr has previously been reported to lead to increased Aβ40 and Aβ42 production without a change in the Aβ42/Aβ40 ratio in mouse neuroblastoma cells, while an independent cell-free assay suggests that PSEN1 p.Ala396Thr leads to reduced Aβ40 yielding an increase in Aβ42/Aβ40; thus, which the mechanism of the effect remains to be resolved the disruption in Aβ processing is consistent [21, 25, 38].
PSEN1 pathogenic variant carriers had a variable clinical presentation, including memory impairment, behavioral changes, language, and extrapyramidal symptoms consistent with what we know about PSEN1 mutations. Our study found differences in age-at-symptomatic onset (range, 38–55 years), rate of progression, and clinical presentation for each variant and within families (Table 2). Heterogeneity in age-at-symptomatic onset and clinical presentation in DIAD populations has been highlighted in previous studies [39, 40]. Differences in the mutation (missense vs. in-frame splice) or location (codon <200 vs.>200) may impact the pathologic function of PSEN1, contributing to differences in biochemica l and phenotypic expression of disease. However, as suggested by Ryan et al., family mutation alone does not explain the large proportion of the observed heterogeneity [39, 40, 42, 43], suggesting that other environmental or genetic factors modify the effect of PSEN1 mutations.
Several known DIAD variants from Latin America show relevant evidence of geographical cluster and funders’ effects. We could not identify such evidence in the novel variants described in this study, suggesting a possible de novo origin in these families.
Our findings are limited by (1) the absence of AD biomarkers and (2) the lack of large genetic databases with sequencing data on LatAm populations.
Due to limitations in local resources, AD biomarkers were not collected in any of the family members. The newly developed blood-based biomarker (e.g., plasma Aβ42 and Aβ42/Aβ40 ratios and plasma phosphorylated tau proteins [ptau181, ptau217, ptau205]) [44,45,46] may represent an alternative for future studies and is especially relevant for underserved communities. The development and activation of new DIAN sites in LatAm (Argentina, Colombia, Brazil, Mexico) will facilitate future biomarkers collection in this population in DIAD families from the region. Newly identified families have been invited to join ongoing observational studies and clinical trials in DIAN sites.
To determine whether the novel variants represented rare or common polymorphisms, we examined population-based sequencing databases. This analysis is limited by the lack of diverse representation in these databases that are largely populated by individuals of European-American descent , raising the possibility that these variants could be seen with greater frequency in African or Native American populations which would reduce their likelihood of being pathogenic. Population stratification is particularly important when considering rare variants. It is important to highlight that genetic testing and counseling in this study was restricted to families with two or more generations with a history of early-onset dementia. Large population-based and more inclusive studies aimed at identifying novel genetic variants in Latin America remain critical but unfortunately limited by funding. Finally, although genetic counseling was offered to family members, attempts to maintain confidentiality raised specific challenges to document family history and discuss further genetic testing among the family; therefore, segregation was not available for all the families.
Our study provides further insights into the genetics of AD in LatAm by identifying five novel mutations in the PSEN1 gene. This report is a step forward to improving the inclusion/engagement of LatAm families in research. Genetic counseling and testing are now available for at-risk, cognitively healthy individuals who may opt to learn their genetic status, decide about reproductive choices, and enroll in clinical trials. Family discovery is of great relevance for the region, as new initiatives are underway to extend clinical trials and observational studies to families living with DIAD. Broader inclusion of families with DIAD from across the world is likely to increase our understanding of the pathogenic variants that contribute to AD, with the potential to inform determinants and modifiers of AD pathogenicity, improve the care of patients and families with DIAD, and advance the development and evaluation of putative AD-modifying therapeutics.
Based on our findings, including clinical presentation, imaging, genetic, segregations studies, and cell-based analysis, we propose that PSEN1 p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, and p.Ala275Thr are likely pathogenic variants resulting in DIAD, whereas PSEN1 p.Ile414Thr is likely a risk factor.
Availability of data and materials
The datasets generated during and/or analyzed during the current study are not publicly available due to participant confidentiality but are available from the corresponding author on reasonable request.
Brayne C, Miller B, Robinson L, Jagger C, Barnes L, Arthur A, et al. Dementia and aging populations—A global priority for contextualized research and health policy. PLOS Med. 2017;14:e1002275. Available from:. https://doi.org/10.1371/journal.pmed.1002275.
Prince M, Comas-Herrera A, Knapp M, Guerchet M, Karagiannidou M. World Alzheimer Report 2016 Improving healthcare for people living with dementia, Coverage, Quality and costs now and in the future, vol. 2016. p. 1–140. Available from: https://www.alz.co.uk/research/world-report-2016
Barnes DE, Yaffe K. The projected effect of risk factor reduction on Alzheimer’s disease prevalence. Lancet Neurol. 2011;10:819–28.
Cummings J, Aisen PS, DuBois B, Frölich L, Jack CR, Jones RW, et al. Drug development in Alzheimer’s disease: the path to 2025. Alzheimers Res Ther. 2016;8:39 Available from: http://www.ncbi.nlm.nih.gov/pubmed/27646601. [cited 2019 Apr 26].
Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020; Available from: https://linkinghub.elsevier.com/retrieve/pii/S0140673620303676. [cited 2020 Aug 2].
Prince M, Wimo A, Guerchet M, Gemma-Claire A, Wu Y-T, Prina M. World Alzheimer Report 2015: The Global Impact of Dementia - An analysis of prevalence, incidence, cost and trends, Alzheimer’s Disease International, vol. 84; 2015.
Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019;51:584–91. [cited 2020 Sep 3]. Available from. https://doi.org/10.1038/s41588-019-0379-x.
Ramos C, Aguillon D, Cordano C, Lopera F. Genetics of dementia insights from Latin America. Dementia e Neuropsychologia. 2020;14:223–36 Available from: /pmc/articles/PMC7500810/?report=abstract. [cited 2020 Nov 17].
Parra MA, Baez S, Allegri R, Nitrini R, Lopera F, Slachevsky A, et al. Dementia in Latin America. Neurology. 2018;90:222–31 Available from: http://www.ncbi.nlm.nih.gov/pubmed/29305437. [cited 2019 Oct 10]. Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
Bateman RJ, Xiong C, Benzinger TLS, Fagan AM, Goate A, Fox NC, et al. Clinical and biomarker changes in dominantly inherited Alzheimer’s disease. N Engl J Med. 2012;367:795–804 cited 2018 Apr 15]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22784036. NIH Public Access.
Llibre-Guerra JJ, Li Y, Allegri RF, Mendez PC, Surace EI, Llibre-Rodriguez JJ, et al. Dominantly inherited Alzheimer’s disease in Latin America: Genetic heterogeneity and clinical phenotypes. Alzheimer’s Dement. 2020:alz.12227 [cited 2021 Jan 17]. Available from: https://onlinelibrary.wiley.com/doi/10.1002/alz.12227. John Wiley and Sons Inc.
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, et al. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet. 2019;51:414–30.
van Cauwenberghe C, van Broeckhoven C, Sleegers K. The genetic landscape of Alzheimer disease: clinical implications and perspectives, Genet Med. 2016;18:421–30 [cited 2019 Sep 18]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26312828. Nature Publishing Group.
Parra MA, Baez S, Sedeño L, Gonzalez Campo C, Santamaría-García H, Aprahamian I, et al. Dementia in Latin America: Paving the way toward a regional action plan. Alzheimer’s Dement. 2020:alz.12202 [cited 2021 Jan 17] Available from: https://onlinelibrary.wiley.com/doi/10.1002/alz.12202.
Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. J Psychiatric Res. 1975;12:189–98 [cited 2018 Dec 5]. Available from: https://www.sciencedirect.com/science/article/pii/0022395675900266?via%3Dihub.
Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment. J Am Geriatr Soc. 2005;53:695–9. [cited 2020 Mar 27]. Available from. https://doi.org/10.1111/j.1532-5415.2005.53221.x.
Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43:2412–4 [cited 2018 Nov 20]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/8232972. Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
Evers-Kiebooms G, Decruyenaere M. Predictive testing for Huntington’s disease: A challenge for persons at risk and for professionals. Patient Educ Couns. 1998;35:15–26 Elsevier Ireland Ltd.
Ng PC, Henikoff S. SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–4 [cited 2021 Sep 30]. Available from: https://academic.oup.com/nar/article/31/13/3812/2904131. Oxford Academic.
Rentzsch P, Schubach M, Shendure J, Kircher M. CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Medicine. 2021;13:1–12 [cited 2021 Sep 30]. Available from: https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-021-00835-9. BioMed Central.
Hsu S, Gordon BA, Hornbeck R, Norton JB, Levitch D, Louden A, et al. Discovery and validation of autosomal dominant Alzheimer’s disease mutations. Alzheimer’s Res Ther. 2018;10:67 [cited 2021 Apr 29]. Available from: https://alzres.biomedcentral.com/articles/10.1186/s13195-018-0392-9. BioMed Central Ltd.
Pimenova AA, Goate AM. Novel presenilin 1 and 2 double knock-out cell line for in vitro validation of PSEN1 and PSEN2 mutations. Neurobiol Dis. 2020;138 [cited 2021 Oct 5]. Available from: https://pubmed.ncbi.nlm.nih.gov/32032730/.
Guerreiro RJ, Baquero M, Blesa R, Boada M, Brás JM, Bullido MJ, et al. Genetic screening of Alzheimer’s disease genes in Iberian and African samples yields novel mutations in presenilins and APP. Neurobiol Aging. 2010;31:725–31 [cited 2021 Mar 15]. Available from: /pmc/articles/PMC2850052/. NIH Public Access.
Hsu S, Gordon BA, Hornbeck R, Norton JB, Levitch D, Louden A, et al. Discovery and validation of autosomal dominant Alzheimer’s disease mutations. Alzheimers Res Ther. 2018;10:67 Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=med15&NEWS=N&AN=30021643.
Hsu S, Pimenova AA, Hayes K, Villa JA, Rosene MJ, Jere M, et al. Systematic validation of variants of unknown significance in APP, PSEN1 and PSEN2. Neurobiol Dis. 2020;139:104817.
Gao R-J, Zhong Z-L, Dammer E, Zhao Q-H, Shan S, Zhou Z, et al. R. Mutation profile of APP, PSEN1, and PSEN2 in Chinese familial Alzheimer’s disease. Neurobiol Aging. 2019;77:154–7 Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=medl&NEWS=N&AN=30822634.
Luedecke D, Becktepe JS, Lehmbeck JT, Finckh U, Yamamoto R, Jahn H, et al. A novel presenilin 1 mutation (Ala275Val) as cause of early-onset familial Alzheimer disease. Neuroscience Letters. 2014;566:115–9 Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=med11&NEWS=N&AN=24582897.
Joshi P, Gardner M, Lintott C, Anderson T. Novel Presenilin-1 Mutation (Ala275Ser) Associated with Clinical Features of Dementia with Lewy Bodies. Alzheimer Dis Assoc Disord. 2021; [cited 2022 Feb 21]; Available from: https://journals.lww.com/alzheimerjournal/Fulltext/2021/10000/Novel_Presenilin_1_Mutation__Ala275Ser__Associated.9.aspx. Lippincott Williams and Wilkins.
Campion D, Flaman JM, Brice A, Hannequin D, Dubois B, Martin C, et al. Mutations of the presenilin I gene in families with early-onset Alzheimer’s disease. Human Mol Genet. 1995;4:2373–7 [cited 2022 Feb 21]. Available from: https://academic.oup.com/hmg/article/4/12/2373/634625. Oxford Academic.
Wasco W, Pettingell WP, Jondro PD, Schmidt SD, Gurubhagavatula S, Rodes L, et al. Familial Alzheimer’s chromosome 14 mutations. Nat Med. 1995;1:848 [cited 2022 Feb 21]. Available from: https://www.nature.com/articles/nm0995-848a. Nature Publishing Group.
Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–24 [cited 2021 Dec 17]. Available from: https://pubmed.ncbi.nlm.nih.gov/25741868/.
Gao Y, Ren RJ, Zhong ZL, Dammer E, Zhao QH, Shan S, et al. Mutation profile of APP, PSEN1, and PSEN2 in Chinese familial Alzheimer’s disease. Neurobiol Aging. 2019;77:154–7 [cited 2022 Feb 21]. Available from: https://pubmed.ncbi.nlm.nih.gov/30822634/.
Luedecke D, Becktepe JS, Lehmbeck JT, Finckh U, Yamamoto R, Jahn H, et al. A novel presenilin 1 mutation (Ala275Val) as cause of early-onset familial Alzheimer disease. Neurosci sLett. 2014;566:115–9.
Wasco W, Pettingell WP, Jondro PD, Schmidt SD, Gurubhagavatula S, Rodes L, et al. Familial Alzheimer’s chromosome 14 mutations. Nat Med. 1995;1:848 [cited 2022 Jul 7]. Available from: https://www.nature.com/articles/nm0995-848a. Nature Publishing Group.
Clark RF, Hutton M, Fuldner M, Froelich S, Karran E, Talbot C, et al. The structure of the presenilin 1 (S182) gene and identification of six novel mutations in early onset AD families. Nat Genet. 1995;11:219–22 [cited 2022 Jul 7]. Available from: https://pubmed.ncbi.nlm.nih.gov/7550356/.
Hutton M, Busfield F, Wragg M, Crook R, Perez-Tur J, Clark RF, et al. Complete analysis of the presenilin 1 gene in early onset Alzheimer’s disease. Neuroreport. 1996;7:801–5 [cited 2022 Jul 7]. Available from: https://pubmed.ncbi.nlm.nih.gov/8733749/.
Monacelli F, Martella L, Parodi MN, Odetti P, Fanelli F, Tabaton M. Frontal Variant of Alzheimer’s Disease: A Report of a Novel PSEN1 Mutation. J Alzheimers Dis. 2019;70:11–5 [cited 2022 Jul 7]. Available from: https://pubmed.ncbi.nlm.nih.gov/31177233/.
Sun L, Zhou R, Yang G, Shi Y. Analysis of 138 pathogenic mutations in presenilin-1 on the in vitro production of Aβ42 and Aβ40 peptides by γ-secretase. Proc Natl Acad Sci U S A. 2017;114:E476–85. [cited 2022 Jul 7]. Available from. https://doi.org/10.1073/pnas.1618657114.
Tang M, Ryman DC, McDade E, Jasielec MS, Buckles VD, Cairns NJ, et al. Neurological Manifestations of Autosomal Dominant Alzheimer’s Disease from the DIAN cohort and a meta-analysis HHS Public Access. Lancet Neurol. 2016;15:1317–25 [cited 2018 Oct 2]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116769/pdf/nihms-827342.pdf.
Ryan NS, Nicholas JM, Weston PSJ, Liang Y, Lashley T, Guerreiro R, et al. Clinical phenotype and genetic associations in autosomal dominant familial Alzheimer’s disease: a case series. Lancet Neurol. 2016;15:1326–35 [cited 2019 Sep 17]. Available from: https://www.sciencedirect.com/science/article/pii/S1474442216301934.
Tang M, Ryman DC, McDade E, Jasielec MS, Buckles VD, Cairns NJ, et al. Neurological manifestations of autosomal dominant familial Alzheimer’s disease: a comparison of the published literature with the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS). Lancet Neurol. 2016;15:1317–25 [cited 2019 Sep 17]. Available from: https://www.sciencedirect.com/science/article/pii/S1474442216302290?via%3Dihub#fig3.
van der Flier WM. Clinical heterogeneity in familial Alzheimer’s disease. 2016 [cited 2018 Oct 2]; Available from: http://dx.doi.org/10.1016/
Ryman DC, Aisen PS, Bird T, Danek A, Fox NC, Goate A, et al. Symptom onset in autosomal dominant Alzheimer disease A systematic review and meta-analysis. 2014.
Palmqvist S, Tideman P, Cullen N, Zetterberg H, Blennow K, Dage JL, et al. Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measures. Nat Med. 2021;27:1034–42 [cited 2021 Jun 20]. Available from: http://www.nature.com/articles/s41591-021-01348-z.
Barthélemy NR, Li Y, Joseph-Mathurin N, Gordon BA, Hassenstab J, Benzinger TLS, et al. A soluble phosphorylated tau signature links tau, amyloid and the evolution of stages of dominantly inherited Alzheimer’s disease. Nat Med. 2020;26:398–407 [cited 2020 Nov 13]. Available from: /pmc/articles/PMC7309367/?report=abstract.
Teunissen CE, Verberk IMW, Thijssen EH, Vermunt L, Hansson O, Zetterberg H, et al. Blood-based biomarkers for Alzheimer’s disease: towards clinical implementation. Lancet Neurol. 2022;21:66–77 [cited 2022 Feb 21]. Available from: https://pubmed.ncbi.nlm.nih.gov/34838239/.
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–43 cited 2021 Dec 21]. Available from: https://www.nature.com/articles/s41586-020-2308-7. Nature Publishing Group.
The Dominantly Inherited Alzheimer Network (DIAN, U19AG032438) is funded by the National Institute on Aging (NIA), Alzheimer’s Association (SG-20-690363), the German Center for Neurodegenerative Diseases (DZNE), The Institute for Neurological Research (FLENI), and CONICET (PICT 2015/2110), partial support by the Research and Development Grants for Dementia from Japan Agency for Medical Research and Development, AMED, and the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI). This manuscript has been reviewed by DIAN Study investigators for scientific content and consistency of data interpretation with previous DIAN Study publications. We acknowledge the altruism of the participants and their families and the DIAN research and support staff at each of the participating sites for their contributions to this study.
Data collection and sharing for this project was supported by The Dominantly Inherited Alzheimer Network (DIAN, UF1 AG032438), funded by the National Institute on Aging (NIA), Alzheimer’s Association (SG-20-690363), the Foundation for Barnes-Jewish Hospital, and the McDonnell Academy. This manuscript has been reviewed by DIAN Study investigators for scientific content and consistency of data interpretation with previous DIAN Study publications. The funding source had no role in the design and conduct of the study, collection, management, analysis, and interpretation of the data, preparation, review, or approval of the manuscript, or decision to submit the manuscript for publication. The corresponding author had full access to the data in the study and had final responsibility for the decision to submit for publication.
Ethics approval and consent to participate
The Washington University Institutional Review Board reviewed the study protocol (IRB no. 201111194). All subjects included in this study, or their proxies, gave written informed consent.
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Takada, L.T., Aláez-Verson, C., Burgute, B.D. et al. Discovery and validation of dominantly inherited Alzheimer’s disease mutations in populations from Latin America. Alz Res Therapy 14, 108 (2022). https://doi.org/10.1186/s13195-022-01052-1
- Dominantly inherited Alzheimer disease
- Presenilin 1
- Latin America
- Early-onset Alzheimer disease