Kathleen Black

Alzheimer's disease: rare variants with large effect sizes.

Recent advances in sequencing technology and novel genotyping arrays (focused on low-frequency and coding variants) have made it possible to identify novel coding variants with large effect sizes and also novel genes (TREM2, PLD3, UNC5C, and AKAP9) associated with Alzheimers disease (AD) risk. The major advantages of these studies over the classic genome-wide association studies (GWAS) include the identification of the functional variant and the gene-driven association. In addition to the large effect size, these studies make it possible to model these variants and genes using cell and animal systems. On the other hand, the underlying population-variability of these very low allele frequency variants poses a great challenge to replicating results. Studies that include very large datasets (>10,000 cases and controls) and combine sequencing and genotyping approaches will lead to the identification of novel genes for Alzheimers disease.

Role of ABCA7 loss-of-function variant in Alzheimer's disease: a replication study in European-Americans

IntroductionA recent study found a significant increase of ABCA7 loss-of-function variants in Alzheimer’s disease (AD) cases compared to controls. Some variants were located on noncoding regions, but it was demonstrated that they affect splicing. Here, we try to replicate the association between AD risk and ABCA7 loss-of-function variants at both the single-variant and gene level in a large and well-characterized European American dataset.MethodsWe genotyped the GWAS common variant and four rare variants previously reported for ABCA7 in 3476 European–Americans.ResultsWe were not able to replicate the association at the single-variant level, likely due to a lower effect size on the European American population which led to limited statistical power. However, we did replicate the association at the gene level; we found a significant enrichment of ABCA7 loss-of-function variants in AD cases compared to controls (P = 0.0388; odds ratio =1.54). We also confirmed that the association of the loss-of-function variants is independent of the previously reported genome-wide association study signal.ConclusionsAlthough the effect size for the association of ABCA7 loss-of-function variants with AD risk is lower in our study (odds ratio = 1.54) compared to the original report (odds ratio = 2.2), the replication of the findings of the original report provides a stronger foundation for future functional applications. The data indicate that different independent signals that modify risk for complex traits may exist on the same locus. Additionally, our results suggest that replication of rare-variant studies should be performed at the gene level rather than focusing on a single variant.

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Genome-wide association studies of 146 plasma protein levels in 818 individuals revealed 56 genome-wide significant associations (28 novel) with 47 analytes. Loci associated with plasma levels of 39 proteins tested have been previously associated with various complex traits such as heart disease, inflammatory bowel disease, Type 2 diabetes, and multiple sclerosis. These data suggest that these plasma protein levels may constitute informative endophenotypes for these complex traits. We found three potential pleiotropic genes: ABO for plasma SELE and ACE levels, FUT2 for CA19-9 and CEA plasma levels, and APOE for ApoE and CRP levels. We also found multiple independent signals in loci associated with plasma levels of ApoH, CA19-9, FetuinA, IL6r, and LPa. Our study highlights the power of biological traits for genetic studies to identify genetic variants influencing clinically relevant traits, potential pleiotropic effects, and complex disease associations in the same locus.

SORL1 variants across Alzheimer's disease European American cohorts.

The accumulation of the toxic Aβ peptide in Alzheimer’s disease (AD) largely relies upon an efficient recycling of amyloid precursor protein (APP). Recent genetic association studies have described rare variants in SORL1 with putative pathogenic consequences in the recycling of APP. In this work, we examine the presence of rare coding variants in SORL1 in three different European American cohorts: early-onset, late-onset AD (LOAD) and familial LOAD.

Analysis of neurodegenerative Mendelian genes in clinically diagnosed Alzheimer disease

Alzheimer disease (AD), Frontotemporal lobar degeneration (FTD), Amyotrophic lateral sclerosis (ALS) and Parkinson disease (PD) have a certain degree of clinical, pathological and molecular overlap. Previous studies indicate that causative mutations in AD and FTD/ALS genes can be found in clinical familial AD. We examined the presence of causative and low frequency coding variants in the AD, FTD, ALS and PD Mendelian genes, in over 450 families with clinical history of AD and over 11,710 sporadic cases and cognitive normal participants from North America. Known pathogenic mutations were found in 1.05% of the sporadic cases, in 0.69% of the cognitively normal participants and in 4.22% of the families. A trend towards enrichment, albeit non-significant, was observed for most AD, FTD and PD genes. Only PSEN1 and PINK1 showed consistent association with AD cases when we used ExAC as the control population. These results suggest that current study designs may contain heterogeneity and contamination of the control population, and that current statistical methods for the discovery of novel genes with real pathogenic variants in complex late onset diseases may be inadequate or underpowered to identify genes carrying pathogenic mutations.

TMEM230 in Parkinson's disease

A study on familial Parkinson disease (PD) described 4 variants in the gene TMEM230 (Chr. 20p13) as the cause of PD. The aim of this study was to test if variants in the TMEM230 gene are associated with PD in 2 independent American European data sets. No variants in the TMEM230 region were found associated with PD, age at onset, or cerebrospinal fluid α-synuclein levels.

Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms

To determine whether the extent of overlap of the genetic architecture among the sporadic late‐onset Alzheimers Disease (sLOAD), familial late‐onset AD (fLOAD), sporadic early‐onset AD (sEOAD), and autosomal dominant early‐onset AD (eADAD).

Parkinson disease polygenic risk score is associated with Parkinson disease status and age at onset but not with alpha-synuclein cerebrospinal fluid levels

BackgroundThe genetic architecture of Parkinson’s Disease (PD) is complex and not completely understood. Multiple genetic studies to date have identified multiple causal genes and risk loci. Nevertheless, most of the expected genetic heritability remains unexplained. Polygenic risk scores (PRS) may provide greater statistical power and inform about the genetic architecture of multiple phenotypes. The aim of this study was to test the association between PRS and PD risk, age at onset and cerebrospinal fluid (CSF) biomarkers (α-synuclein, Aβ1–42, t-tau and p-tau).MethodsThe weighted PRS was created using the genome-wide loci from Nalls et al., 2014 PD GWAs meta-analysis. The PRS was tested for association with PD status, age at onset and CSF biomarker levels in 829 cases and 432 controls of European ancestry.ResultsThe PRS was associated with PD status (p = 5.83×10−08) and age at onset (p = 5.70×10−07). The CSF t-tau levels showed a nominal association with the PRS (p = 0.02). However, CSF α-synuclein, amyloid beta and phosphorylated tau were not found to be associated with the PRS.ConclusionOur study suggests that there is an overlap in the genetic architecture of PD risk and onset, although the different loci present different weights for those phenotypes. In our dataset we found a marginal association of the PRS with CSF t-tau but not with α-synuclein CSF levels, suggesting that the genetic architecture for the CSF biomarker levels is different from that of PD risk.

Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure

BackgroundAlzheimer’s disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored.MethodsWe developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies.ResultsWe found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE ε4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD non-carriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies.ConclusionsThese findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD.

CEREBROSPINAL FLUID ENDOPHENOTYPES PROVIDE INSIGHT INTO BIOLOGY UNDERLYING ALZHEIMER'S DISEASE

REGULATION_OF_AXONOGENESIS >10 >10 CDC42_PROTEIN_SIGNAL_TRANSDUCTION >10 >10 REGULATION_OF_NEUROGENESIS >10 6.97310 REGULATION_OF_SYNAPSE_STRUCTURE_AND_ACTIVITY >10 8.67310 LEARNING_AND_OR_MEMORY 2.40310 5.02310 REGULATION_OF_ANATOMICAL_STRUCTURE_MORPHOGENESIS 6.05310 7.05310 HOMOPHILIC_CELL_ADHESION 1.07310 7.92310 PROTEIN_TETRAMERIZATION 8.73310 1.65310 LIPID_HOMEOSTASIS 1.62310 3.02310 NEURITE_DEVELOPMENT 1.62310 3.69310 AXONOGENESIS 2.51310 3.69310 NEURON_DIFFERENTIATION 1.94310 3.46310 NEURON_DEVELOPMENT 1.94310 4.99310 GENERATION_OF_NEURONS 2.70310 1.41310 CELLULAR_MORPHOGENESIS_DURING_DIFFERENTIATION 3.11310 5.10310 CELL_CELL_ADHESION 4.35310 9.45310 PROTEIN_DIMERIZATION_ACTIVITY 4.79310 5.10310 NEUROGENESIS 1.16310 1.85310 PHOSPHOLIPID_BINDING 1.26310 9.98 310 PROTEIN_HOMODIMERIZATION_ACTIVITY 9.38 310 7.12 310 Podium Presentations: Sunday, July 16, 2017 P218