Novel genetic risk factor for Alzheimer's disease progression [abstract]

Researchers at Washington University have identified a novel genetic variant that strongly correlates with disease progression. Dr. Alison Goate and collaborators used an established biomarker for the decline of AD patients (cerebrospinal fluid tau phosphorylated at threonine 181, ptau181) to find genetic variants that influence levels of ptau181 in the cerebrospinal fluid. The study found a highly significant association between ptau181levels and the rs1868402 SNP located within a regulatory subunit of PPP3R1 (calcineurin B), a gene previously linked to AD pathogenesis. Carriers of the rs1868402 risk allele showed a 6-fold faster rate of disease progression than AD patients without the variant. In addition, individuals carrying allele rs1868402 and rs3785883, a second allele identified in the study, showed an even more pronounced rate of decline. Direct examination of brain samples from AD cases and controls revealed that rs1868402is in fact associated with reduced PPP3R1 mRNA levels and increased tangle formation, providing biological validation for the genome-wide association study and further implicating PPP3R1 in disease pathology. rs1868402 showed no association with risk for AD or age at onset, but there was a very significant association with rate of progression of disease that is consistent in two independent series. As the first genetic variant associated with rate of AD progression to be reported, its use in clinical trial design and patient care will translate into a significant benefit to patients. Potential Areas of Applications: * Diagnostic for individuals with rapid decline in Alzheimer's disease * New protein pathway for drug therapies for treating Alzheimer's disease progression Patent Status: Patent pending Inventor(s): Carlos Cruchaga, Alison Goate, David Holtzman Contact Info: Nichole Mercier, [email protected] (314) 747 190

Haplotype-based association analysis of the MAPT locus in Late Onset Alzheimer's disease

BACKGROUND: Late onset Alzheimer's disease (LOAD) is a common sporadic form of the illness, affecting individuals above the age of 65 yrs. A prominent hypothesis for the aetiopathology of Alzheimer's disease is that in the presence of a β-amyloid load, individuals expressing a pathogenic form of tau protein (MAPT) are at increased risk for developing the disease. Genetic studies in this pursuit have, however, yielded conflicting results. A recent study showed a significant haplotype association (H1c) with AD. The current study is an attempt to replicate this association in an independently ascertained cohort. RESULTS: In this report we present the findings of a haplotype analysis at the MAPT locus. We failed to detect evidence of association of the H1c haplotype at the MAPT locus with LOAD. None of the six SNPs forming the H1c haplotype showed evidence of association with disease. In addition, nested clade analysis suggested the presence of independent mutations at multiple points in the haplotype network or homoplasy at the MAPT locus. Such homoplasy can confound single SNP tests for association. We do not detect evidence that the set of SNPs forming the H1c haplotype in general or rs242557 in particular are pathogenic for LOAD. CONCLUSION: In conclusion, we employed two contemporary haplotype analysis tools to perform haplotype association analysis at the MAPT locus. Our data suggest that the tagged SNPs forming the H1c haplotype do not have a causal role in the pathogenesis of LOAD

Functional characterization improves associations between rare non-synonymous variants in CHRNB4 and smoking behavior

Smoking is the leading cause of preventable death worldwide. Accordingly, effort has been devoted to determining the genetic variants that contribute to smoking risk. Genome-wide association studies have identified several variants in nicotinic acetylcholine receptor genes that contribute to nicotine dependence risk. We previously undertook pooled sequencing of the coding regions and flanking sequence of the CHRNA5, CHRNA3, CHRNB4, CHRNA6 and CHRNB3 genes and found that rare missense variants at conserved residues in CHRNB4 are associated with reduced risk of nicotine dependence among African Americans. We identified 10 low frequency (<5%) non-synonymous variants in CHRNB4 and investigated functional effects by co-expression with normal α3 or α4 subunits in human embryonic kidney cells. Voltage-clamp was used to obtain acetylcholine and nicotine concentration-response curves and qRT-PCR, western blots and cell-surface ELISAs were performed to assess expression levels. These results were used to functionally weight genetic variants in a gene-based association test. We find that there is a highly significant correlation between carrier status weighted by either acetylcholine EC50 (β = -0.67, r2 = 0.017, P = 2 × 10(-4)) or by response to low nicotine (β = -0.29, r2 = 0.02, P = 6 × 10(-5)) when variants are expressed with the α3 subunit. In contrast, there is no significant association when carrier status is unweighted (β = -0.04, r2 = 0.0009, P = 0.54). These results highlight the value of functional analysis of variants and the advantages to integrating such data into genetic studies. They also suggest that an increased sensitivity to low concentrations of nicotine is protective from the risk of developing nicotine dependence

Alzheimer’s disease risk polymorphisms regulate gene expression in the ZCWPW1 and the CELF1 loci

Late onset Alzheimer's disease (LOAD) is a genetically complex and clinically heterogeneous disease. Recent large-scale genome wide association studies (GWAS) have identified more than twenty loci that modify risk for AD. Despite the identification of these loci, little progress has been made in identifying the functional variants that explain the association with AD risk. Thus, we sought to determine whether the novel LOAD GWAS single nucleotide polymorphisms (SNPs) alter expression of LOAD GWAS genes and whether expression of these genes is altered in AD brains. The majority of LOAD GWAS SNPs occur in gene dense regions under large linkage disequilibrium (LD) blocks, making it unclear which gene(s) are modified by the SNP. Thus, we tested for brain expression quantitative trait loci (eQTLs) between LOAD GWAS SNPs and SNPs in high LD with the LOAD GWAS SNPs in all of the genes within the GWAS loci. We found a significant eQTL between rs1476679 and PILRB and GATS, which occurs within the ZCWPW1 locus. PILRB and GATS expression levels, within the ZCWPW1 locus, were also associated with AD status. Rs7120548 was associated with MTCH2 expression, which occurs within the CELF1 locus. Additionally, expression of several genes within the CELF1 locus, including MTCH2, were highly correlated with one another and were associated with AD status. We further demonstrate that PILRB, as well as other genes within the GWAS loci, are most highly expressed in microglia. These findings together with the function of PILRB as a DAP12 receptor supports the critical role of microglia and neuroinflammation in AD risk