Pharmacogenomics and its implications for autoimmune disease.

A striking failure of modern medicine is the debilitating and lethal consequences of adverse drug reactions (ADRs) which rank as one of the top ten leading causes of death and illness in the developed world with direct medical costs of 137-177 billion US dollars annually in the USA. Although many factors influence the effect of medications (i.e. age, organ function, drug interactions), genetic factors account for 20-95% of drug response variability and play a significant role in the incidence and severity of ADRs. The field of pharmacogenomics seeks to identify genetic factors responsible for individual differences in drug efficacy and adverse drug reactions. Pharmacogenomics has led to several genetic tests that provide clinical dosing recommendations. For autoimmune disease, pharmacogenomics has led to several DNA-based tests to improve drug selection, optimize dosing, and minimize the risk of toxicity. The 'GATC' project is a nation-wide project established in Canada to identify novel predictive genomic markers of severe ADRs in children. An ADR surveillance network has been established in all of Canada's major children's hospitals, serving up to 75% of all Canadian children. The goal of the project is to identify patients experiencing specific ADRs, collect DNA samples, and apply genomics-based technologies to identify ADR-associated genetic markers.

Positive association between risk for late-onset Alzheimer disease and genetic variation in IDE.

Insulin degrading enzyme (IDE) is one of the principal proteases involved in the degradation of the beta-amyloid peptide, which is the major constituent of senile plaques in Alzheimer's disease (AD) brains. Previous association studies between AD and IDE have produced inconsistent results which may be indicative of a need for larger case-control series to identify what may be a relatively small effect size. Thus, we performed a large association study using four SNPs in the 276-kb haplotype block in and around IDE (IDE_7, IDE_9, IDE_14 and HHEX_23) in a previously unpublished Swedish and a UK case-control series, and combined our data with a previously reported Swedish case-control sample set from Prince et al., 2003. The combined genotype data from 1269 late-onset AD cases and 980 controls yielded a significant association to IDE_9 located in the 3'-end of the IDE gene after conservative multiple testing Bonferroni correction (p=0.005). The effect seemed to predominate in male cases. However, we did not observe a globally significant association to haplotypes generated from three "tag" SNPs. These findings indicate a role for IDE in AD, and provide models that may improve chances of further independent replication.

Quantitative trait loci in ABCA1 modify cerebrospinal fluid amyloid-beta 1-42 and plasma apolipoprotein levels.

The ATP-binding cassette transporter A1 encoded by ABCA1 plays an integral role in the efflux of cellular cholesterol and phospholipids, but may also be a central mediator of beta-amyloid (Abeta) processing. Here, genetic association of the common R219K variant of ABCA1 is shown with cerebrospinal fluid (CSF) Abeta 1-42 levels, reinforcing emerging evidence of a connection between lipid and Abeta metabolism. In support of this finding we demonstrate for the first time that CSF cholesterol and Abeta 1-42 are correlated. To affirm the plausible impact of ABCA1 variation on cholesterol and related traits as well as to empower a survey of possible interactions (e.g. age, gender, and smoking), a large Swedish population consisting of over 2,700 individuals was enlisted and extensive measures of plasma lipid parameters carried out. These analyses revealed that R219K has a strong effect on apolipoprotein B (APOB) and LDL-cholesterol (LDL-C) among smokers (P = 0.000055 and P = 0.00059, respectively), but not among non-smokers. In contrast, no effect was evident with apolipoprotein A (APOA1) or HDL-cholesterol (HDL-C) levels. Plasma APOB and LDL-C, but not APOA1 and HDL-C, were shown to be markedly elevated in smokers versus non-smokers, affirming that smoking may selectively impact the former pathway. No other genetic markers in ABCA1 exhibit effects as large as R219K, although a modest independent effect of R1587K was observed. Our data illuminate a possible genetic link between Abeta and cholesterol metabolism, but also provide an intriguing example of an environmental exposure that may modify a genotype-phenotype relationship.

Towards compendia of negative genetic association studies: an example for Alzheimer disease.

Most genetic sequence variants that contribute to variability in complex human traits will have small effects that are not readily detectable with population samples typically used in genetic association studies. A potentially valuable tool in the gene discovery process is meta-analysis of the accumulated published data, but in order to be valid these require a sample of studies representative of the true genetic effect and thus hypothetically should include some positive and an abundance of negative reports. A survey of the literature on association studies for Alzheimer disease (AD) from January 2004-April 2005, identified 138 studies, 86 of which reported positive findings other than for apolipoprotein E (APOE), strongly indicative of publication bias. We report here an analysis of 62 genetic markers, tested for association with AD risk as well as for possible effects upon quantitative indices of AD severity (mini-mental state examination scores, age-at-onset, and cerebrospinal fluid (CSF) beta-amyloid (Abeta) and CSF tau proteins). Within this set, only modest signals were present that, with the exception of APOE are easily lost when corrections for multiple hypotheses are applied. In isolation, results are thus broadly negative. Genes studied encompass both novel candidates as well as several recently claimed to be associated with AD (e.g. urokinase plasminogen activator (PLAU) and acetyl-coenzyme A acetyltransferase 1 (ACAT1)). By reporting these data we hope to encourage the publication of gene compendia to guide further studies and aid future meta-analyses aimed at resolving the involvement of genes in complex human traits.

A cladistic model of ACE sequence variation with implications for myocardial infarction, Alzheimer disease and obesity.

Sequence variation in ACE, which encodes angiotensin I converting enzyme, contributes to a large proportion of variability in plasma ACE levels, but the extent to which this impacts upon human disease is unresolved. Most efforts to associate ACE with other heritable traits have involved a single Alu insertion/deletion polymorphism, despite the probable existence of other functional sequence variants with effects that may not be consistently detectable by solely typing the Alu indel. Here, utilizing single nucleotide polymorphisms (SNPs) that differentiate major ACE clades in European populations, we demonstrate a number of significant phenotype associations across more than 4000 Swedish individuals. In a systematic analysis of metabolic phenotypes, effects were detected upon several traits, including fasting plasma glucose levels, insulin levels and measures of obesity (P-values ranging from 0.046 to 8.4 x 10(-6)). Extending cladistic models to the study of myocardial infarction and Alzheimer disease, significant associations were observed with greater effect sizes than those typically obtained in large-scale meta-analyses based on the Alu indel. Population frequencies of ACE genotypes were also found to change with age, congruent with previous data suggesting effects upon longevity. Clade models consistently outperformed those based upon single markers, reinforcing the importance of taking into consideration the possible confounding effects of allelic heterogeneity in this genomic region. Utilizing computational tools, potential functional variants are highlighted that may underlie phenotypic variability, which is discussed along with the broader implications these results may have for studies attempting to link variation in ACE to human disease.

Variants of CYP46A1 may interact with age and APOE to influence CSF Abeta42 levels in Alzheimer's disease.

Recent studies have suggested that variants of CYP46A1, encoding cholesterol 24-hydroxylase (CYP46), confer risk for Alzheimer's disease (AD), a prospect substantiated by evidence of genetic association from several quantitative traits related to AD pathology, including cerebrospinal fluid (CSF) levels of the 42 amino-acid cleavage product of beta-amyloid (Abeta42) and the tau protein. In the present study, these claims have been explored by the genotyping of previously associated markers in CYP46A1 in three independent northern European case-control series encompassing 1323 individuals and including approximately 400 patients with measurements of CSF Abeta42 and phospho-tau protein levels. Tests of association in case-control models revealed limited evidence that CYP46A1 variants contributed to AD risk across these samples. However, models testing for potential effects upon CSF measures suggested a possible interaction of an intronic marker (rs754203) with age and APOE genotype. In stratified analyses, significant effects were evident that were restricted to elderly APOE epsilon4 carriers for both CSF Abeta42 ( P=0.0009) and phospho-tau ( P=0.046). Computational analyses indicate that the rs754203 marker probably does not impact the binding of regulatory factors, suggesting that other polymorphic sites underlie the observed associations. Our results provide an important independent replication of previous findings, supporting the existence of CYP46A1 sequence variants that contribute to variability in beta-amyloid metabolism.

Genetic variants of ABCA1 modify Alzheimer disease risk and quantitative traits related to beta-amyloid metabolism.

Linkage studies have provided evidence that one or more loci on chromosome 9q influence Alzheimer disease (AD). The gene encoding the ATP-binding cassette A1 transporter (ABCA1) resides within proximity of previously identified linkage peaks and represents a plausible biological candidate for AD due to its central role in cellular lipid homeostasis. Several single nucleotide polymorphisms (SNPs) spanning ABCA1 have been genotyped and haplotype-based association analyses performed in four independent case-control samples, consisting of over 1,750 individuals from three European populations representing both early and late-onset AD. Prominent effects were observed for a common (H2) and rarer haplotype (H5) that were enriched in AD cases across studied populations (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.36-1.82; P<0.00001 and OR 2.90; 95% CI 2.54-3.27; P<0.00001, respectively). Two other common haplotypes in the studied region (H1 and H3) were significantly under-represented in AD cases, suggesting that they may harbor alleles that decrease disease risk (OR 0.79, 95% CI 0.64-0.94; P=0.0065 and OR 0.70, 95% CI 0.46-0.93; P=0.011, respectively). While findings were significant in both early and late-onset samples, haplotype effects were more distinct in early-onset materials. For late-onset samples, ancillary evidence was obtained that both single marker alleles and haplotypes of ABCA1 contribute to variable cerebrospinal fluid tau and beta amyloid (Abeta42) protein levels, and brain Abeta load. Results indicate that variants of ABCA1 may affect the risk of AD, providing further support for a genetic link between AD and cholesterol metabolism.

Common variants of ACE contribute to variable age-at-onset of Alzheimer's disease.

Studies on the role that genetic variation may play in a complex human disease can be empowered by an assessment of both disease risk in case-control or family models and of quantitative traits that reflect elements of disease etiology. An excellent example of this can be found for the epsilon4 allele of APOE in relation to Alzheimer's disease (AD) for which association with both risk and age-at-onset (AAO) is evident. Following a recent demonstration that variants of the gene encoding angiotensin I converting enzyme ( ACE) contribute to AD risk, we have explored the potential influence of ACE upon AAO in AD. A total of 2861 individuals from three European populations, including six independent AD samples, have been examined in this study. Three single nucleotide polymorphisms (SNPs) previously demonstrated to have maximum effects upon ACE plasma levels and that span the ACE locus were genotyped in these materials. A strong effect upon AAO was observed for marker rs4343 in exon 17 ( P<0.0001), but evidence was also obtained indicating a possible independent effect of marker rs4291 ( P=0.0095) located in the ACE promoter. Effects were consistent with data from previous studies suggesting association with AD in case-control models, whereby alleles demonstrated to confer risk to disease also appear to reduce AAO. Equivalent effects were evident regardless of APOE epsilon4 carrier status and in both males and females. These results provide an important complement to existing AD risk data, confirming that ACE harbors sequence variants that contribute to aspects of AD pathology.

Haplotypes extending across ACE are associated with Alzheimer's disease.

Numerous genes have been implicated in Alzheimer's disease (AD), but, with the exception of a demonstrated association with the epsilon 4 allele of APOE, findings have not been consistently replicated across populations. One of the most widely studied is the gene for angiotensin I converting enzyme (ACE ). A meta-analysis of published data on a common Alu indel polymorphism in ACE was performed which indicated highly significant association of the insertion allele with AD (OR 1.30; 95% CI 1.19 - 1.41; P=4 x 10(-8)). To further explore the influence of ACE on AD, several single-nucleotide polymorphisms (SNPs) were genotyped in five independent populations represented by over 3100 individuals. Analyses based upon single markers and haplotypes revealed strong evidence of association in case-control models and also in a model examining the influence of variation in ACE upon cerebrospinal fluid levels of amyloid beta42 peptide (Abeta42). The most significant evidence for association with AD was found for an SNP, A-262T, located in the ACE promoter (OR 1.64; 95% CI 1.33 -1.94; P=2 x 10(-5)). Estimates of population attributable risk for the common allele of this SNP suggest that it, or an allele in tight linkage disequilibrium (LD) with it, may contribute to as much as 35% of AD in the general population. Results support a model whereby decreased ACE activity may influence AD susceptibility by a mechanism involving beta-amyloid metabolism.