Abstract Background Plasma concentrations of phosphorylated threonine‐181 of Tau (pTau181) and the ratio of amyloid beta isoforms Aβ42/Aβ40 are biomarkers for differential diagnosis and preclinical detection of Alzheimer disease (AD). However, assessment of the utility of these biomarkers has been in non‐Hispanic, European individuals. Given differences in AD risk across populations, generalizability of these findings is not assured in individuals of diverse ancestries. Here we evaluate the levels of plasma pTau181 and Aβ42/Aβ40 and assess their utility in discriminating clinically diagnosed AD from cognitively unimpaired (CU), age‐matched controls in ancestrally diverse, admixed cohorts. Method We measured pTau181 and Aβ42/Aβ40 with Simoa chemistry using the pTau181 AdvantageV2 and NEUROLOGY 3‐PLEX A assays, respectively. Our cohorts consisted of: 923 African Americans (319 AD, 604 CU), 149 Peruvians (49 AD, 100 CU), and 667 Caribbean Hispanics (613 Puerto Ricans (288 AD, 325 CU) and 54 Cubans (24 AD, 30 CI)). Linear mixed‐effect regression models adjusted for age, sex, population substructure and relatedness followed by Bonferroni correction was applied to identify biomarker differences. Diagnostic performance and receiver operator characteristic (ROC) curves were created from logistic regression models. Result Plasma pTau181 concentrations did not differ across any of the cohorts within AD or CU. There was a clear elevation of pTau181 concentration in AD compared to CU (p < 1.7x10 ‐13 ) taking into account all individuals and in each cohort separately (African Americans, p =1.9x10 ‐8 ; Caribbean Hispanics, p=3.1x10 ‐7 ; Peruvians, p=0.05). There was no significant difference in the plasma Aβ42/Aβ40 ratio, however there was a trend towards a decreasing ratio in AD. Using the area under the ROC, pTau181 was more accurate at predicting status than the Aβ42/Aβ40 ratio, but the classification improved when both biomarkers were combined. Conclusion These results suggest AD biomarkers are generalizable across ancestries, with baseline values being consistent across diverse populations. Ultimately, combining genomic, biomarker, and social and environmental data from diverse individuals will increase understanding of genetic risk and refine clinical diagnoses in individuals of diverse ancestries.
Abstract Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk factors. We conducted a pilot study for SPARK (SPARKForAutism.org) of 457 families with ASD, all consented online. Whole exome sequencing (WES) and genotyping data were generated for each family using DNA from saliva. We identified variants in genes and loci that are clinically recognized causes or significant contributors to ASD in 10.4% of families without previous genetic findings. In addition, we identified variants that are possibly associated with ASD in an additional 3.4% of families. A meta-analysis using the TADA framework at a false discovery rate (FDR) of 0.1 provides statistical support for 26 ASD risk genes. While most of these genes are already known ASD risk genes, BRSK2 has the strongest statistical support and reaches genome-wide significance as a risk gene for ASD ( p -value = 2.3e−06). Future studies leveraging the thousands of individuals with ASD who have enrolled in SPARK are likely to further clarify the genetic risk factors associated with ASD as well as allow accelerate ASD research that incorporates genetic etiology.
Abstract Background The APOEε4 confers the highest genetic risk factor for Alzheimer’s disease (AD). Specifically, Non‐Hispanic Whites (NHW) are more susceptible to developing AD than African American (AA) individuals (OR∼15 vs 8, respectively). Local ancestry (LA) surrounding the APOE region has been implicated in this risk difference, with APOEε4 carriers of European LA (ELA) having increased chromatin accessibility and higher APOEε4 expression than individuals of African LA (ALA). In contrast, carriers of APOEε3, the most common allele, are not predisposed to AD. We here sought to investigate whether this differential accessibility and gene expression are solely due to APOE LA or whether the APOE genotype also contributes to the different disease risk. Method We screened 94 brains from individuals self‐identified as either AA or NHW of which we identified a total of 22 AD autopsy samples (18 with ELA and 4 with ALA) by GSA, all homozygous for LA and APOEε3. We performed single nuclei ATAC‐seq and single nuclei RNA sequencing (snRNA‐seq) using frozen frontal cortex using the 10x Genomics. Result To date, we have performed snRNA‐seq in a total of 16,099 nuclei for four brains (2 ELA and 2 ALA). We identified 27 distinct cell clusters at a resolution of 0.6. The proportion of cells per cluster between ELA and ALA samples was similar for all clusters, except for 8 clusters (primarily neurons) which had a greater than 2‐fold difference in ELA. Preliminary results show that APOEε3 carriers with ELA have a significantly higher APOE expression in astrocytes (cluster 11) than those of ALA similar to previous reports in APOEε4 carriers (Griswold, A. et al, (2021)). Interestingly, we also observed an increase in APOE expression in ALA for one oligodendrocyte cluster and four neuronal clusters (inhibitory and excitatory neurons) independent of those mentioned above. Conclusion We report novel insights on the effect of APOE LA and genotype and its contributions to Alzheimer’s disease risk. Specifically, as APOEε3 allele expression follows a similar pattern of overexpression in ELA vs ALA as observed for APOEε4 carriers, our data support that LA and not allele status contribute to the differential APOE expression observed among different ancestral populations.
Abstract Background Increasing ethnic/ancestral diversity in genetic studies is critical for defining the genetic architecture of Alzheimer disease (AD). Amerindian (AI) populations are substantially underrepresented in AD genetic studies. The Peruvian (PE) population, with up to ∼80% of AI ancestry, provides a unique opportunity to assess the role of AI ancestry in AD. We performed the first genome‐wide association study (GWAS) in the PE population to identify novel AD susceptibility loci and characterize known AD genetic risk loci. Method The PE dataset includes array‐genotype and phenotype data from 542 individuals (189 cases; 353 controls), imputed to the NHLBI TOPMedv5 haplotype reference panel. We used a generalized linear mixed‐model (SAIGE software) for the GWAS analysis. We analyzed two separate models; the first model accounted for sex, age, and population substructure, while the second model also included the dosage of APOEe4. In both models, we included a genetic relationship matrix as a random effect to account for any potential relatedness. To determine if the associations are specific to specific ancestries, we employed ancestry‐aware approaches using the RFMix software. Result APOE was significantly associated with AD with an effect size comparable to that found in non‐Hispanic white (NHW) populations (OR = 3.3(2.2‐4.8),pv = 8.0×10 −10 ). Two additional known AD loci, TREML2 (pv = 0.008) and CLU (pv = 0.012), showed nominal significance Variants at three additional loci reached suggestive significance (pv<1×10 −6 ): NFASC (pv = 9.4×10 −8 ;chromosome 1), STK32A (pv = 9.3×10 −7 ; chromosome 5), and LOC100132830 (pv = 6.7×10 −7 ;chromosome 6). The NFASC locus neared genome‐wide significance in the APOE adjusted model (pv = 6.7×10 −8 ). The haplotypes associated with AD at the NFASC locus were found to be of European origin. Additionally, the STK32A locus was found to have a protective effect specifically among individuals of AI background. We did not observe significant heterogeneity of effect at the APOE and LOC100132830 loci across different ancestral backgrounds. Conclusion PE GWAS identified a novel, promising AD susceptibility locus in the NFASC gene of European origin. We also detected a potential protective effect in the STK32A locus on AI background, emphasizing the importance of incorporating ancestry‐aware approaches in gene discovery in admixed populations.
A missense variant in the tetratricopeptide repeat domain 3 ( TTC3 ) gene (rs377155188, p.S1038C, NM_003316.4:c.3113C>G) was found to segregate with disease in a multigenerational family with late onset Alzheimer's disease. This variant was introduced into induced pluripotent stem cells (iPSCs) derived from a cognitively intact individual using CRISPR genome editing and the resulting isogenic pair of iPSC lines were differentiated into cortical neurons. Transcriptome analysis showed an enrichment for genes involved in axon guidance, regulation of actin cytoskeleton, and GABAergic synapse. Functional analysis showed that the TTC3 p.S1038C iPSC-derived neuronal progenitor cells had altered 3D morphology and increased migration, while the corresponding neurons had longer neurites, increased branch points, and altered expression levels of synaptic proteins. Pharmacological treatment with small molecules that target the actin cytoskeleton could revert many of these cellular phenotypes, suggesting a central role for actin in mediating the cellular phenotypes associated with the TTC3 p.S1038C variant.The AD risk variant TTC3 p.S1038C reduces the expression levels of TTC3 The variant modifies the expression of AD specific genes BACE1 , INPP5F , and UNC5C Neurons with the variant are enriched for genes in the PI3K-Akt pathwayiPSC-derived neurons with the alteration have increased neurite length and branchingThe variant interferes with actin cytoskeleton and is ameliorated by Cytochalasin D.
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