Polyallelic structural variants can provide accurate, highly informative genetic markers focused on diagnosis and therapeutic targets: Accuracy vs. Precision.

Structural variants (SVs) include all insertions, deletions, and rearrangements in the genome, with several common types of nucleotide repeats including single sequence repeats, short tandem repeats, and insertion-deletion length variants. Polyallelic SVs provide highly informative markers for association studies with well-phenotyped cohorts. SVs can influence gene regulation by affecting epigenetics, transcription, splicing, and/or translation. Accurate assays of polyallelic SV loci are required to define the range and allele frequency of variable length alleles.

Are APOE ɛ genotype and TOMM40 poly-T repeat length associations with cognitive ageing mediated by brain white matter tract integrity?

Genetic polymorphisms in the APOE ɛ and TOMM40 '523' poly-T repeat gene loci have been associated with significantly increased risk of Alzheimer's disease. This study investigated the independent effects of these polymorphisms on human cognitive ageing, and the extent to which nominally significant associations with cognitive ageing were mediated by previously reported genetic associations with brain white matter tract integrity in this sample. Most participants in the Lothian Birth Cohort 1936 completed a reasoning-type intelligence test at age 11 years, and detailed cognitive/physical assessments and structural diffusion tensor brain magnetic resonance imaging at a mean age of 72.70 years (s.d.=0.74). Participants were genotyped for APOE ɛ2/ɛ3/ɛ4 status and TOMM40 523 poly-T repeat length. Data were available from 758-814 subjects for cognitive analysis, and 522-543 for mediation analysis with brain imaging data. APOE genotype was significantly associated with performance on several different tests of cognitive ability, including general factors of intelligence, information processing speed and memory (raw P-values all<0.05), independently of childhood IQ and vascular disease history. Formal tests of mediation showed that several significant APOE-cognitive ageing associations--particularly those related to tests of information processing speed--were partially mediated by white matter tract integrity. TOMM40 523 genotype was not associated with cognitive ageing. A range of brain phenotypes are likely to form the anatomical basis for significant associations between APOE genotype and cognitive ageing, including white matter tract microstructural integrity.

A genome-wide association study implicates the APOE locus in nonpathological cognitive ageing.

Cognitive decline is a feared aspect of growing old. It is a major contributor to lower quality of life and loss of independence in old age. We investigated the genetic contribution to individual differences in nonpathological cognitive ageing in five cohorts of older adults. We undertook a genome-wide association analysis using 549 692 single-nucleotide polymorphisms (SNPs) in 3511 unrelated adults in the Cognitive Ageing Genetics in England and Scotland (CAGES) project. These individuals have detailed longitudinal cognitive data from which phenotypes measuring each individual's cognitive changes were constructed. One SNP--rs2075650, located in TOMM40 (translocase of the outer mitochondrial membrane 40 homolog)--had a genome-wide significant association with cognitive ageing (P=2.5 × 10(-8)). This result was replicated in a meta-analysis of three independent Swedish cohorts (P=2.41 × 10(-6)). An Apolipoprotein E (APOE) haplotype (adjacent to TOMM40), previously associated with cognitive ageing, had a significant effect on cognitive ageing in the CAGES sample (P=2.18 × 10(-8); females, P=1.66 × 10(-11); males, P=0.01). Fine SNP mapping of the TOMM40/APOE region identified both APOE (rs429358; P=3.66 × 10(-11)) and TOMM40 (rs11556505; P=2.45 × 10(-8)) as loci that were associated with cognitive ageing. Imputation and conditional analyses in the discovery and replication cohorts strongly suggest that this effect is due to APOE (rs429358). Functional genomic analysis indicated that SNPs in the TOMM40/APOE region have a functional, regulatory non-protein-coding effect. The APOE region is significantly associated with nonpathological cognitive ageing. The identity and mechanism of one or multiple causal variants remain unclear.

Polymorphism in the TOMM40 gene modifies the risk of developing sporadic inclusion body myositis and the age of onset of symptoms.

A polyT repeat in an intronic polymorphism (rs10524523) in the TOMM40 gene, which encodes an outer mitochondrial membrane translocase involved in the transport of amyloid-ß and other proteins into mitochondria, has been implicated in Alzheimer's disease and APOE-TOMM40 genotypes have been shown to modify disease risk and age at onset of symptoms. Because of the similarities between Alzheimer's disease and sporadic inclusion body myositis (s-IBM), and the importance of amyloid-ß and mitochondrial changes in s-IBM, we investigated whether variation in poly-T repeat lengths in rs10524523 also influence susceptibility and age at onset in a cohort of 90 Caucasian s-IBM patients (55 males; age 69.1 ± 9.6). In carriers of APOE ε3/ε3 or ε3/ε4, genotypes with a very long (VL) poly-T repeat were under-represented in s-IBM compared to controls and were associated with a later age at symptom onset, suggesting that these genotypes may be protective. Our study is the first to suggest that polymorphisms in genes controlling mitochondrial function can influence susceptibility to s-IBM and have disease modifying effects. However, further studies in other s-IBM populations are needed to confirm these findings, as well as expression studies of different TOMM40 alleles in muscle tissue.

Using genetics to enable studies on the prevention of Alzheimer's disease.

Curing Alzheimer's disease (AD) remains an elusive goal; indeed, it may even prove to be impossible, given the nature of the disease. Although modulating disease progression is an attractive target and will alleviate the burden of the most severe stages, this strategy will not reduce the prevalence of the disease itself. Preventing or (as described in this article) delaying the onset of cognitive impairment and AD will provide the greatest benefit to individuals and society by pushing the onset of disease into the later years of life. Because of the high variability in the age of onset of the disease, AD prevention studies that do not stratify participants by age-dependent disease risk will be operationally challenging, being large in size and of long duration. We present a composite genetic biomarker to stratify disease risk so as to facilitate clinical studies in high-risk populations. In addition, we discuss the rationale for the use of pioglitazone to delay the onset of AD in individuals at high risk.

Apolipoprotein E genotype and oxidative stress response to traumatic brain injury.

Traumatic Brain Injury (TBI) is known to result in oxidative stress, and as variation at the Apolipoprotein E (APOE) gene has been shown to influence outcome following TBI, but through as yet unclear mechanisms, we used transgenic APOE mouse models to examine the relationship between APOE genotype and oxidative stress following TBI. We administered a controlled cortical impact (CCI) injury or sham injury to transgenic mice expressing either human APOE3 or APOE4 on a murine APOE-deficient background. RNA was prepared from the ipsilateral hippocampi and cortices retrieved at 24 h and 1 month post-TBI. Microarray analysis was performed on unpooled samples from three mice per group to determine the genomic response to TBI and to specifically investigate the response of genes involved in oxidative stress mechanisms. Our data demonstrated TBI-induced expression of many more anti-oxidant related genes in the APOE3 mice, suggesting a potential anti-oxidative role for ApoE3 compared to ApoE4. However, in an additional cohort of mice we isolated the ipsilateral hippocampi, cortices, and cerebella at 1 month after TBI or sham injury for immunohistochemical analysis of markers of oxidative stress: the formation and presence of carbonyls (indication of general oxidative modification), 3-nitrotyrosine (3NT; specific to protein modification), or 4-hydroxyl-2-nonenal (HNE; specific to lipid peroxidation). Although we observed significant increases in all three markers of oxidative stress in response to injury, and genotype was a significant factor for carbonyl and 3NT, we found no significant interaction between genotype and injury. This may be due to the overwhelming effect of injury compared to genotype in our ANOVA, but nonetheless suggests that an influence on oxidative stress response is not the primary mechanism behind the APOE-genotype dependent effects on outcome following TBI.

Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts.

Major depressive disorder (MDD) is a highly prevalent disorder with substantial heritability. Heritability has been shown to be substantial and higher in the variant of MDD characterized by recurrent episodes of depression. Genetic studies have thus far failed to identify clear and consistent evidence of genetic risk factors for MDD. We conducted a genome-wide association study (GWAS) in two independent datasets. The first GWAS was performed on 1022 recurrent MDD patients and 1000 controls genotyped on the Illumina 550 platform. The second was conducted on 492 recurrent MDD patients and 1052 controls selected from a population-based collection, genotyped on the Affymetrix 5.0 platform. Neither GWAS identified any SNP that achieved GWAS significance. We obtained imputed genotypes at the Illumina loci for the individuals genotyped on the Affymetrix platform, and performed a meta-analysis of the two GWASs for this common set of approximately half a million SNPs. The meta-analysis did not yield genome-wide significant results either. The results from our study suggest that SNPs with substantial odds ratio are unlikely to exist for MDD, at least in our datasets and among the relatively common SNPs genotyped or tagged by the half-million-loci arrays. Meta-analysis of larger datasets is warranted to identify SNPs with smaller effects or with rarer allele frequencies that contribute to the risk of MDD.

A TOMM40 variable-length polymorphism predicts the age of late-onset Alzheimer's disease.

The ɛ4 allele of the apolipoprotein E (APOE) gene is currently the strongest and most highly replicated genetic factor for risk and age of onset of late-onset Alzheimer's disease (LOAD). Using phylogenetic analysis, we have identified a polymorphic poly-T variant, rs10524523, in the translocase of outer mitochondrial membrane 40 homolog (TOMM40) gene that provides greatly increased precision in the estimation of age of LOAD onset for APOE ɛ3 carriers. In two independent clinical cohorts, longer lengths of rs10524523 are associated with a higher risk for LOAD. For APOE ɛ3/4 patients who developed LOAD after 60 years of age, individuals with long poly-T repeats linked to APOE ɛ3 develop LOAD on an average of 7 years earlier than individuals with shorter poly-T repeats linked to APOE ɛ3 (70.5 ± 1.2 years versus 77.6 ± 2.1 years, P=0.02, n=34). Independent mutation events at rs10524523 that occurred during Caucasian evolution have given rise to multiple categories of poly-T length variants at this locus. On replication, these results will have clinical utility for predictive risk estimates for LOAD and for enabling clinical disease prevention studies. In addition, these results show the effective use of a phylogenetic approach for analysis of haplotypes of polymorphisms, including structural polymorphisms, which contribute to complex diseases.

Apolipoprotein E-genotype dependent hippocampal and cortical responses to traumatic brain injury.

The different alleles of the apolipoprotein E gene (APOE-gene, ApoE-protein) have been reported to influence recovery after traumatic brain injury (TBI) in both human patients and animal models, with the e4 allele typically conferring poorer prognosis for recovery. How the E4 allele, and consequently the ApoE4 isoform, affects recovery is unknown, but proposed mechanisms include neurogenesis, inflammatory response and amyloid processing or metabolism. Using the controlled cortical impact (CCI) model of brain injury and microarray technology we have characterized the genomic response to injury in the brains of APOE2, APOE3 and APOE4 transgenic mice and identified quantitatively and qualitatively significantly different profiles of gene expression in both the hippocampus and the cortex of the APOE3 mice compared to APOE4. The observed gene regulation predicts functional consequences including effects on inflammatory processes, cell growth and proliferation, and cellular signaling, and may suggest that the poor recovery post-TBI in APOE4 animals and human patients is less likely to result from a specific activation of neurodegenerative mechanisms than a loss of reparative capability.

Stimulation of cholecystokinin-A receptors with Gl181771X: a failed clinical trial that did not test the pharmacogenetic hypothesis for reduction of food intake.

There are two interacting components in a clinical trial: the drug and the study design. When a trial does not work, we blame the drug--and the study is usually not published. This Commentary provides a context for the use of efficacy pipeline pharmacogenetics (PGx) in therapeutic programs. Jordan et al. published the results of an obesity trial with a cholecystokinin-A (CCK-A) receptor agonist and concluded that CCK-A by itself does not have a central role in long-term energy balance. The conclusions were sound, the report accurate, and the journal commendable for publishing a negative study, but the trial design was misdirected--it did not build on phase IIA information and did not test the proposed mechanism of action. The hypotheses should have been based on the original putative role of a central mechanism affecting appetite, which had been validated using efficacy PGx in phase IIA.

Risk prediction of prevalent diabetes in a Swiss population using a weighted genetic score--the CoLaus Study.

AIMS/HYPOTHESIS: Several susceptibility genes for type 2 diabetes have been discovered recently. Individually, these genes increase the disease risk only minimally. The goals of the present study were to determine, at the population level, the risk of diabetes in individuals who carry risk alleles within several susceptibility genes for the disease and the added value of this genetic information over the clinical predictors. METHODS: We constructed an additive genetic score using the most replicated single-nucleotide polymorphisms (SNPs) within 15 type 2 diabetes-susceptibility genes, weighting each SNP with its reported effect. We tested this score in the extensively phenotyped population-based cross-sectional CoLaus Study in Lausanne, Switzerland (n = 5,360), involving 356 diabetic individuals. RESULTS: The clinical predictors of prevalent diabetes were age, BMI, family history of diabetes, WHR, and triacylglycerol/HDL-cholesterol ratio. After adjustment for these variables, the risk of diabetes was 2.7 (95% CI 1.8-4.0, p = 0.000006) for individuals with a genetic score within the top quintile, compared with the bottom quintile. Adding the genetic score to the clinical covariates improved the area under the receiver operating characteristic curve slightly (from 0.86 to 0.87), yet significantly (p = 0.002). BMI was similar in these two extreme quintiles. CONCLUSIONS/INTERPRETATION: In this population, a simple weighted 15 SNP-based genetic score provides additional information over clinical predictors of prevalent diabetes. At this stage, however, the clinical benefit of this genetic information is limited.

Genome-wide approaches to identify pharmacogenetic contributions to adverse drug reactions.

Adverse drug reactions (ADRs) have a major impact on patients, physicians, health care providers, regulatory agencies and pharmaceutical companies. Identifying the genetic contributions to ADR risk may lead to a better understanding of the underlying mechanisms, identification of patients at risk and a decrease in the number of events. Technological advances have made the routine monitoring and investigation of the genetic basis of ADRs during clinical trials possible. We demonstrate through simulation that genome-wide genotyping, coupled with the use of clinically matched or population controls, can yield sufficient statistical power to permit the identification of strong genetic predictors of ADR risk in a prospective manner with modest numbers of ADR cases. The results of a 500,000 single nucleotide polymorphism analysis of abacavir-associated hypersensitivity reaction suggest that the known HLA-B gene region could be identified with as few as 15 cases and 200 population controls in a sequential analysis.

Pharmacogenetics of hypersensitivity to abacavir: from PGx hypothesis to confirmation to clinical utility.

The hypersensitivity (HSR) to abacavir (ABC) pharmacogenetics (PGx) program represents the progression from an exploratory discovery to a validated biomarker. Within the program, two retrospective PGx studies were conducted to identify HIV-1 patients at increased risk for ABC HSR, a treatment-limiting and potentially life-threatening adverse event. A strong statistical association between the major histocompatibility complex allele, HLA-B*5701, and clinically diagnosed ABC HSR was identified but varied between racial populations. Subsequently, ABC skin patch testing was introduced as a research tool to supplement clinical case ascertainment. In a randomized, prospective study evaluating the clinical utility of HLA-B*5701 screening, avoidance of ABC in HLA-B*5701-positive patients significantly reduced clinically diagnosed ABC HSR and eliminated patch test-positive ABC HSR. Finally, a retrospective PGx study supports the generalizability of the association across races. Prospective HLA-B*5701 screening should greatly reduce the incidence of ABC HSR by identifying patients at high risk for ABC HSR before they are treated.

Polymorphisms in the endothelin-1 (EDN1) are associated with asthma in two populations.

Endothelin-1 (EDN1) has been reported to be implicated in the pathophysiology of asthma. Literature results on the genetic association of EDN1 in asthma are inconsistent. Eleven single nucleotide polymorphisms in EDN1 were genotyped in 342 and 100 families from UK and Norway, respectively. Asthma, bronchial hyperreactivity (BHR) and atopic asthma phenotypes were analyzed for the family-based association. Five single nucleotide polymorphisms (SNPs) were associated with asthma (0.0017

"Personalized medicine: elusive dream or imminent reality?": A commentary.

I was invited to comment on the article in this issue by Larry Lesko, "Personalized Medicine: Elusive Dream or Imminent Reality?",(1) especially with respect to three questions. There are several possible approaches to discussing these questions. One is to simply answer the question as directly and succinctly as possible; another is to expand on the questions. For the purpose of this Commentary, I try to do both.

Complex disease-associated pharmacogenetics: drug efficacy, drug safety, and confirmation of a pathogenetic hypothesis (Alzheimer's disease).

Safety and efficacy pharmacogenetics can be applied successfully to the drug discovery and development pipeline at multiple phases. We review drug-target screening using high throughput SNP associations with complex diseases testing more than 1,800 candidate targets with approximately 7,000 SNPs. Alzheimer's disease data are provided as an example. The supplementation of target-selected screening with genome-wide SNP association, to also define susceptibility genes and relevant disease pathways for human diseases, is discussed. Applications for determining predictive genetic or genomic profiles, or derived biomarkers, for drug efficacy and safety during clinical development are exemplified by several successful experiments at different phases of development. A Phase I-IIA study of side effects using an oral drug for the treatment of breast cancer is used as an example of early pipeline pharmacogenetics to predict side effects and allow optimization of dosing. References are provided for several other recently published genetic association studies of adverse events during drug development. We illustrate the early identification of gene variant candidates related to efficacy in a Phase IIA obesity drug trial to generate hypotheses for testing in subsequent development. How these genetic data generated in Phase IIA are subsequently incorporated as hypotheses into later Phase clinical protocols is discussed. A Phase IIB clinical trial for Alzheimer's disease is described that exemplifies the major pipeline decision between program attrition and further clinical development. In this case, there was no significant improvement in 511 intention-to-treat patients but, applying a confirmed prognostic biomarker (APOE4) to segment the clinical trial population, all three doses of rosiglitazone demonstrated improvement in patients who did not carry the APOE4 allele. The data for the APOE4 carriers demonstrated no significant improvement but suggested that there may be a need for higher doses. Thus, a development program that would have been terminated progressed to Phase III registration trials based on the results of prospective efficacy pharmacogenetic analyses. The implications of using APOE genotype as a biomarker to predict efficacy and possibly dose, as well as supporting the basic neurobiology and pharmacology that provided the original target validation, is discussed. Citations are provided that support a slow neurotoxic effect over many years of a specific fragment of apoE protein (over-produced by apoE4 substrate compared to apoE3) on mitochondria and the use of rosiglitazone to increase mitochondrial biogenesis and improve glucose utilization. Pharmacogenetics is currently being used across the pipeline to prevent attrition and to create safer and more effective medicines.

Use of pairwise marker combination and recursive partitioning in a pharmacogenetic genome-wide scan.

The objective of pharmacogenetic research is to identify a genetic marker, or a set of genetic markers, that can predict how a given person will respond to a given medicine. To search for such marker combinations that are predictive of adverse drug events, we have developed and applied two complementary methods to a pharmacogenetic study of the hypersensitivity reaction (HSR) associated with treatment with abacavir, a medicine that is used to treat HIV-infected patients. Our results show that both of these methods can be used to uncover potentially useful predictive marker combinations. The pairwise marker combination method yielded a collection of marker pairs that featured a spectrum of sensitivities and specificities. Recursive partitioning results led to the genetic delineation of multiple risk categories, including those with extremely high and extremely low risk of HSR. These methods can be readily applied in pharmacogenetic candidate gene studies as well as in genome-wide scans.

Efficacy of rosiglitazone in a genetically defined population with mild-to-moderate Alzheimer's disease.

Mild-to-moderate AD patients were randomized to placebo or rosiglitazone (RSG) 2, 4 or 8 mg. Primary end points at Week 24 were mean change from baseline in AD Assessment Scale-Cognitive (ADAS-Cog) and Clinician's Interview-Based Impression of Change Plus Caregiver Input global scores in the intention-to-treat population (N=511), and results were also stratified by apolipoprotein E (APOE) genotype (n=323). No statistically significant differences on primary end points were detected between placebo and any RSG dose. There was a significant interaction between APOE epsilon4 allele status and ADAS-Cog (P=0.014). Exploratory analyses demonstrated significant improvement in ADAS-Cog in APOE epsilon4-negative patients on 8 mg RSG (P=0.024; not corrected for multiplicity). APOE epsilon4-positive patients did not show improvement and showed a decline at the lowest RSG dose (P=0.012; not corrected for multiplicity). Exploratory analyses suggested that APOE epsilon4 non-carriers exhibited cognitive and functional improvement in response to RSG, whereas APOE epsilon4 allele carriers showed no improvement and some decline was noted. These preliminary findings require confirmation in appropriate clinical studies.

Identification of a pharmacogenetic effect by linkage disequilibrium mapping.

A practical limitation to the identification of genetic profiles predictive of drug-induced adverse events is the number of patients with the adverse event that can be tolerated before the drug is withdrawn. Whole genome screening for regions of linkage disequilibrium (LD) associated with a particular phenotype may provide the mechanism to rapidly discover specific and sensitive profiles. We have used data from a large phase III clinical trial of tranilast and typed 76 SNPs over a 2.7 megabase region flanking the uridine diphosphate glucuronosyltranserferase 1A1 gene. Three SNPs within one LD block showed strong association with tranilast-induced hyperbilirubinemia (P<10(-13)). Our data illustrated that a genome-wide LD scan of 100,000-200,000 SNPs is sufficient to identify a pharmacogenetic association with a drug-induced adverse event.

Further investigation of linkage disequilibrium SNPs and their ability to identify associated susceptibility loci.

There is currently considerable interest in the use of single-nucleotide polymorphisms (SNPs) to map disease susceptibility genes. The success of this method will depend on a number of factors including the strength of linkage disequilibrium (LD) between marker and disease loci. We used a data set of SNP genotypings in the region of the APOE disease susceptibility locus to investigate the likely usefulness of SNPs in case-control studies. Using the estimated haplotype structure surrounding and including the APOE locus, and assuming a codominant disease model, we treated each SNP in turn as if it were a disease susceptibility locus and obtained, for each disease locus and markers, the expected likelihood ratio test (LRT) to assess disease association. We were particularly interested in the power to detect association with the susceptibility polymorphism itself, the power of nearby markers to detect association, and the ability to distinguish between the susceptibility polymorphism and marker loci also showing association. We found that the expected LRT depended critically on disease allele frequencies. For disease loci with a reasonably common allele we were usually able to detect association. However, for only a subset of markers in the close neighbourhood of the disease locus was association detectable. In these cases we were usually, but not always, able to distinguish the disease locus from nearby associated marker loci. For some disease loci, no other loci demonstrated detectable association with the disease phenotype. We conclude that one may need to use very dense SNP maps in order to avoid overlooking polymorphisms affecting susceptibility to a common phenotype.