Meta-analysis of genome-wide association studies of HDL cholesterol response to statins.

BACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation. METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10-4 from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10-8) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment. CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

Genome-wide association and Mendelian randomization study of NT-proBNP in patients with acute coronary syndrome.

N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a strong predictor of mortality in coronary artery disease and is widely employed as a prognostic biomarker. However, a causal relationship between NT-proBNP and clinical endpoints has not been established. We have performed a genome-wide association and Mendelian randomization study of NT-proBNP. We used a discovery set of 3740 patients from the PLATelet inhibition and patient Outcomes (PLATO) trial, which enrolled 18 624 patients with acute coronary syndrome (ACS). A further set of 5492 patients, from the same trial, was used for replication. Genetic variants at two novel loci (SLC39A8 and POC1B/GALNT4) were associated with NT-proBNP levels and replicated together with the previously known NPPB locus. The most significant SNP (rs198389, pooled P = 1.07 × 10(-15)) in NPPB interrupts an E-box consensus motif in the gene promoter. The association in SLC39A8 is driven by a deleterious variant (rs13107325, pooled P = 5.99 × 10(-10)), whereas the most significant SNP in POC1B/GALNT4 (rs11105306, pooled P = 1.02 × 10(-16)) is intronic. The SLC39A8 SNP was associated with higher risk of cardiovascular (CV) death (HR = 1.39, 95% CI: 1.08-1.79, P = 0.0095), but the other loci were not associated with clinical endpoints. We have identified two novel loci to be associated with NT-proBNP in patients with ACS. Only the SLC39A8 variant, but not the NPPB variant, was associated with a clinical endpoint. Due to pleotropic effects of SLC39A8, these results do not suggest that NT-proBNP levels have a direct effect on mortality in ACS patients. PLATO Clinical Trial Registration: www.clinicaltrials.gov; NCT00391872.

Differential Genetic Effects on Statin-Induced Changes Across Low-Density Lipoprotein-Related Measures.

BACKGROUND: Statin therapy influences not only low-density lipoprotein (LDL) cholesterol levels but also LDL-related biomarkers, including non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B, total number of LDL particles, and mean LDL particle size. Recent studies have identified many genetic loci influencing circulating lipid levels and statin-induced LDL cholesterol reduction. However, it is unknown how these genetic variants influence statin-induced changes in LDL subfractions and non-HDL-C. METHODS AND RESULTS: One hundred sixty candidate single-nucleotide polymorphisms for effects on circulating lipid levels or statin-induced LDL-cholesterol lowering were tested for association with response of LDL subfractions and non-HDL-C to rosuvastatin or placebo for 1 year among 7046 participants from the Justification for Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial. Of the 51 single-nucleotide polymorphisms associated with statin response for ≥ 1 of the LDL subfractions or non-HDL-C, 20 single-nucleotide polymorphisms could be clustered according to effects predominantly on LDL particle size, predominantly on LDL particle number, and on apolipoprotein B but not on LDL cholesterol or non-HDL-C. CONCLUSIONS: These differential associations point to pathways of LDL response to statin therapy and possibly to mechanisms of statin-dependent cardiovascular disease risk reduction. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00239681.

Effect of genetic variations on ticagrelor plasma levels and clinical outcomes.

AIMS: Ticagrelor, a direct-acting P2Y12-receptor antagonist, is rapidly absorbed and partly metabolized to the major metabolite AR-C124910XX (ARC). To identify single-nucleotide polymorphisms (SNPs) associated with pharmacokinetics of ticagrelor and clinical outcomes, we performed a genome-wide association study (GWAS) in patients treated with ticagrelor in the PLATO trial. METHODS AND RESULTS: A two-stage design was used for the GWAS with discovery (discovery phase: n = 1812) and replication cohorts (replication phase: n = 1941). The steady-state area under the curve (AUCss) values, estimated by the population pharmacokinetic (PK) models, were log transformed and analysed on a genome-wide scale using linear regression. SNPs were analysed against clinical events using Cox-regression in 4990 patients. An SNP (rs113681054) in SLCO1B1 was associated with levels of ticagrelor (P = 1.1 × 10(-6)) and ARC (P = 4.6 × 10(-13)). This SNP is in linkage disequilibrium with a functional variant (rs4149056) that results in decreased OATP1B1 transporter activity. Ticagrelor levels were also associated with two independent SNPs (rs62471956, P = 7.7 × 10(-15) and rs56324128, P = 9.7 × 10(-12)) in the CYP3A4 region. Further, ARC levels were associated with rs61361928 (P = 3.0 × 10(-14)) in UGT2B7. At all loci, the effects were small. None of the identified SNPs that affected ticagrelor PK were associated with the primary composite outcome (cardiovascular death myocardial infarction, and stroke), non-CABG-related bleeds or investigator-reported dyspnoea. CONCLUSION: In patients with ACS, ticagrelor pharmacokinetics is influenced by three genetic loci (SLCO1B1, UGT2B7, and CYP3A4). However, the modest genetic effects on ticagrelor plasma levels did not translate into any detectable effect on efficacy or safety during ticagrelor treatment. CLINICAL TRIAL REGISTRATION: NCT00391872.

NLRC4 Inflammasome Is an Important Regulator of Interleukin-18 Levels in Patients With Acute Coronary Syndromes: Genome-Wide Association Study in the PLATelet inhibition and patient Outcomes Trial (PLATO).

BACKGROUND: Interleukin 18 (IL-18) promotes atherosclerotic plaque formation and is increased in patients with acute coronary syndromes. However the relative contribution of genetic variants to the IL-18 levels has not been fully determined. METHODS AND RESULTS: Baseline plasma IL-18 levels were measured in 16 633 patients with acute coronary syndrome, of whom 9340 had genetic data that passed genotype quality control. A 2-stage genome-wide association study was performed, followed by combined analyses using >10 million genotyped or imputed genetic markers. Single nucleotide polymorphisms at 3 loci (IL18, NLRC4, and MROH6) were identified (P<3.15×10(-8)) in the discovery cohort (n=3777) and replicated in the remaining patients (n=5563). In the pooled data (discovery+replication cohort), 7 independent associations, in 5 chromosomal regions, were associated with IL-18 levels (minimum P=6.99×10(-72)). Six single nucleotide polymorphisms are located in predicted promoter regions of which one disrupts a transcription factor binding site. One single nucleotide polymorphism in NLRC4 is a rare missense variant, predicted to be deleterious to the protein. Altogether, the identified genetic variants explained 8% of the total variation in IL-18 levels in the cohort. CONCLUSIONS: Our results show that genetic variants play an important role in determining IL-18 levels in patients with acute coronary syndrome and we have identified genetic variants located in the IL-18 gene (IL18) or close to genes that are involved in procaspase-1 activation (NLRC4 and CARD16, CARD17, and CARD18). These associations also highlight the importance of the NLRC4 inflammasome for IL-18 production in acute coronary syndrome patients.

Polymorphism of the cystatin C gene in patients with acute coronary syndromes: Results from the PLATelet inhibition and patient Outcomes study.

PURPOSE: Elevated cystatin C concentration is an independent risk factor for cardiovascular (CV) events in patients with acute coronary syndromes. Genetic polymorphisms in CST3 influence cystatin C levels, but their relationship to outcomes is unclear. METHODS: We measured cystatin C concentrations in plasma, obtained within 24 hours of admission, in 16,279 acute coronary syndrome patients from the PLATO trial. In 9,978 patients, we performed a genome-wide association study with up to 2.5 million single nucleotide polymorphisms. Single nucleotide polymorphisms affecting cystatin C levels were evaluated in relation to the first occurrence of myocardial infarction (MI) or CV death within 1 year using Cox regression analysis. RESULTS: Several single nucleotide polymorphisms were associated with cystatin C levels, most significantly rs6048952 (P = 7.82 × 10(-16)) adjacent to CST3. Median cystatin C concentrations per genotype were 0.85 mg/L (A/A), 0.80 mg/L (A/G), and 0.73 mg/L (G/G). Modeled as additive, the allelic effect, multivariable adjusted, was -0.045 mg/L per G allele for rs6048952. The multivariable adjusted c-statistic regarding the combined end point (CV death or MI) was 0.6735. Adding cystatin C or genotype-adjusted cystatin C levels resulted in c-statistics of 0.6761 and 0.6758, respectively. The multivariable adjusted hazard ratios per G allele at rs6048952 in the entire population were 0.94 (95% CI 0.83-1.06) for CV death or MI and 0.88 (95% CI 0.71-1.08) for CV death. CONCLUSIONS: Genetic polymorphisms affect cystatin C concentrations independently of kidney function. However, the polymorphisms were not observed to be associated with outcome, nor did they improve risk prediction or discriminative models.

Lack of association between SLCO1B1 polymorphisms and clinical myalgia following rosuvastatin therapy.

BACKGROUND: Carriers of the rs4363657C and rs4149056C alleles in SLCO1B1 have increased myopathic complaints when taking simvastatin. Whether rosuvastatin has a similar effect is uncertain. This study assesses whether SLCO1B1 polymorphisms relate to clinical myalgia after rosuvastatin therapy. METHODS: In the JUPITER trial, participants without prior cardiovascular disease or diabetes who had low-density lipoprotein cholesterol <130 mg/dL and C-reactive protein ≥2 mg/L were randomly allocated to rosuvastatin 20 mg or placebo and followed for the first cardiovascular disease events and adverse effects. We evaluated the effect of rs4363657 and rs4149056 in SLCO1B1, which encodes organic anion-transporting polypeptide OATP1B1, a regulator of hepatic statin uptake, on clinically reported myalgia. RESULTS: Among 4,404 participants allocated to rosuvastatin, clinical myalgia occurred with a rate of 4.1 events per 100 person-years as compared with 3.7 events per 100 person-years among 4,378 participants allocated to placebo (hazard ratio [HR] 1.13, 95% CI 0.98-1.30). Among those on rosuvastatin, there were no differences in the rate of myalgia among those with the rs4363657C (HR 0.95, 95% CI 0.79-1.14 per allele) or the rs4149056C allele (HR 0.95, 95% CI 0.79-1.15 per allele) compared with those without the C allele. Similar null data were observed when the myalgia definition was broadened to include muscle weakness, stiffness, or pain. None of the 3 participants on rosuvastatin or the 3 participants on placebo with frank myopathy had the minor allele at either polymorphism. CONCLUSION: There appears to be no increased risk of myalgia among users of rosuvastatin who carry the rs4363657C or the rs4149056C allele in SLCO1B1.

Genome-wide association study evaluating lipoprotein-associated phospholipase A2 mass and activity at baseline and after rosuvastatin therapy.

BACKGROUND: Lipoprotein-associated phospholipase A(2) (Lp-PLA(2)) is a proinflammatory enzyme bound to low-density lipoprotein cholesterol and other circulating lipoproteins. Two measures of Lp-PLA(2), mass and activity, are associated with increased cardiovascular risk. Data are sparse regarding genetic determinants of Lp-PLA(2) mass and activity, and no prior data are available addressing genetic determinants of statin-induced changes for this proinflammatory biomarker. METHODS AND RESULTS: We performed a genome-wide association study of Lp-PLA(2) mass and activity at baseline and after 12 months of rosuvastatin therapy (20 mg/d) among 6851 participants of European ancestry from the Justification for Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) and performed replication in a meta-analysis of 13 664 participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Novel associations were identified and replicated at MS4A4E and TMEM49 for baseline Lp-PLA(2) activity with genome-wide significant joint P values (P=2.0 × 10(-11) and P=2.9 × 10(-9), respectively). In addition, genome-wide associations (P<5 × 10(-8)) were identified and replicated for baseline Lp-PLA(2) mass at CETP and for Lp-PLA(2) activity at the APOC1-APOE and PLA2G7 loci. Among 2673 statin-allocated participants, both Lp-PLA(2) mass and activity were reduced by >30% and low-density lipoprotein cholesterol by 50% after 12 months of statin therapy (P<0.001 for both). Variants in ABCG2 and LPA were associated with change in statin-induced Lp-PLA(2) activity at genome-wide significance but were substantially attenuated after adjustment for statin-induced changes in lipid levels. CONCLUSIONS: Genome-wide significant associations at MS4A4E and TMEM49 may reflect novel influences on circulating levels of Lp-PLA(2) activity. In addition, genome-wide significant associations with rosuvastatin-induced change in Lp-PLA(2) activity were observed in ABCG2 and LPA, likely because of their impact on statin-induced low-density lipoprotein cholesterol lowering.

Genetic determinants of statin-induced low-density lipoprotein cholesterol reduction: the Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial.

BACKGROUND: In statin trials, each 20 mg/dL reduction in cholesterol results in a 10-15% reduction of annual incidence rates for vascular events. However, interindividual variation in low-density lipoprotein cholesterol (LDL-C) response to statins is wide and may partially be determined on a genetic basis. METHODS AND RESULTS: A genome-wide association study of LDL-C response was performed among a total of 6989 men and women of European ancestry who were randomly allocated to either rosuvastatin 20 mg daily or placebo. Single nucleotide polymorphisms (SNPs) for genome-wide association (P<5×10(-8)) with LDL-C reduction on rosuvastatin were identified at ABCG2, LPA, and APOE, and a further association at PCSK9 was genome-wide significant for baseline LDL-C and locus-wide significant for LDL-C reduction. Median LDL-C reductions on rosuvastatin were 40, 48, 51, 55, 60, and 64 mg/dL, respectively, among those inheriting increasing numbers of LDL-lowering alleles for SNPs at these 4 loci (P trend=6.2×10(-20)), such that each allele approximately doubled the odds of percent LDL-C reduction greater than the trial median (odds ratio, 1.9; 95% confidence interval, 1.8-2.1; P=5.0×10(-41)). An intriguing additional association with sub-genome-wide significance (P<1×10(-6)) was identified for statin related LDL-C reduction at IDOL, which mediates posttranscriptional regulation of the LDL receptor in response to intracellular cholesterol levels. In candidate analysis, SNPs in SLCO1B1 and LDLR were confirmed as associated with LDL-C lowering, and a significant interaction was observed between SNPs in PCSK9 and LDLR. CONCLUSIONS: Inherited polymorphisms that predominantly relate to statin pharmacokinetics and endocytosis of LDL particles by the LDL receptor are common in the general population and influence individual patient response to statin therapy.

Pharmacogenetic determinants of statin-induced reductions in C-reactive protein.

BACKGROUND: In randomized trials, statins reduce plasma levels of C-reactive protein (CRP) and low-density lipoprotein cholesterol (LDL-C), and the magnitude of event reduction relates to on-treatment levels of both. However, whether different mechanisms underlie statin-induced CRP and LDL-C reduction is unknown. METHODS AND RESULTS: We performed a study to evaluate potential genetic determinants of CRP response using genome-wide genetic data from a total of 6766 participants of European ancestry randomly allocated to 20 mg/d of rosuvastatin or placebo in the JUPITER trial. Among 3386 rosuvastatin-allocated individuals, both CRP and LDL-C levels were reduced by 50% after 12 months of therapy (P<0.001 for both) and essentially uncorrelated (r(2)<0.03). No variants in the 3 genes (ABCG2, LPA, and APOE) that previously showed genome-wide association with LDL-C reduction in this cohort and none of the candidate single-nucleotide polymorphisms associated with LDL-C reduction were associated with rosuvastatin-induced CRP change after multiple testing correction. Among candidate single-nucleotide polymorphisms selected from prior genetic analyses of baseline CRP, CRP reduction was associated with rs2794520 in CRP (mean, -3.5% [SE, 2.0%] change in CRP per minor allele; P=6.4×10(-4)) and with rs2847281 in PTPN2 (mean, 3.7% [SE, 1.9%] change in CRP per minor allele; P=7.4×10(-4)). These associations remained significant after multiple testing correction but were not significant in a formal test of interaction. Neither variant was associated with rosuvastatin-induced LDL-C reduction or with CRP reduction among 3380 placebo-allocated JUPITER participants. CONCLUSIONS: The genetic determinants of rosuvastatin-induced CRP reduction differ from, and are largely independent of, the major pharmacogenetic determinants of rosuvastatin-induced LDL-C reduction. This supports the hypothesis that differing pathways may mediate the anti-inflammatory and lipid-lowering properties of statin therapy.

Interstitial lung disease in gefitinib-treated Japanese patients with non-small-cell lung cancer: genome-wide analysis of genetic data.

AIM: To investigate potential relationships between SNPs and acute interstitial lung disease (ILD) events in Japanese non-small-cell lung cancer patients receiving gefitinib. MATERIALS & METHODS: Japanese non-small-cell lung cancer patients treated with gefitinib from a prospective pharmacoepidemiological cohort with a nested case-control study component ('CCS'; 52 ILD cases, 139 controls) and a retrospective study (28 ILD cases, 55 controls) were genotyped for nearly 500,000 SNPs. Associations between genotype and ILD were evaluated using Fisher's exact test and logistic regression modeling, and false discovery rate analysis was used to adjust for the large number of statistical tests. RESULTS: The CCS data provided some false discovery rate evidence that the significance of top-ranking SNPs exceeded levels expected by chance, suggesting some genuine associations. However, replication analyses using retrospective study data were not supportive and there was little evidence of strong genetic associations from a combined analysis. Adjustment of CCS analyses for clinical variables provided little additional convincing evidence. Significant gene-gene interactions between SNP pairs using CCS data were not confirmed in retrospective study replication analyses. CONCLUSION: Although it is not possible to exclude genetic influences in ILD etiology, common sequence variation is unlikely to explain a major component of ILD risk. Our top results may provide a useful hypothesis-generating starting point for further research.

Effect of CYP2C19 and ABCB1 single nucleotide polymorphisms on outcomes of treatment with ticagrelor versus clopidogrel for acute coronary syndromes: a genetic substudy of the PLATO trial.

BACKGROUND: In the PLATO trial of ticagrelor versus clopidogrel for treatment of acute coronary syndromes, ticagrelor reduced the composite outcome of cardiovascular death, myocardial infarction, and stroke, but increased events of major bleeding related to non-coronary artery bypass graft (CABG). CYP2C19 and ABCB1 genotypes are known to influence the effects of clopidogrel. In this substudy, we investigated the effects of these genotypes on outcomes between and within treatment groups. METHODS: DNA samples obtained from patients in the PLATO trial were genotyped for CYP2C19 loss-of-function alleles (*2, *3, *4, *5, *6, *7, and *8), the CYP2C19 gain-of-function allele *17, and the ABCB1 single nucleotide polymorphism 3435C→T. For the CYP2C19 genotype, patients were stratified by the presence or absence of any loss-of-function allele, and for the ABCB1 genotype, patients were stratified by predicted gene expression (high, intermediate, or low). The primary efficacy endpoint was the composite of cardiovascular death, myocardial infarction, or stroke after up to 12 months' treatment with ticagrelor or clopidogrel. FINDINGS: 10 285 patients provided samples for genetic analysis. The primary outcome occurred less often with ticagrelor versus clopidogrel, irrespective of CYP2C19 genotype: 8·6% versus 11·2% (hazard ratio 0·77, 95% CI 0·60-0·99, p=0·0380) in patients with any loss-of-function allele; and 8·8% versus 10·0% (0·86, 0·74-1·01, p=0·0608) in those without any loss-of-function allele (interaction p=0·46). For the ABCB1 genotype, event rates for the primary outcome were also consistently lower in the ticagrelor than in the clopidogrel group for all genotype groups (interaction p=0·39; 8·8%vs 11·9%; 0·71, 0·55-0·92 for the high-expression genotype). In the clopidogrel group, the event rate at 30 days was higher in patients with than in those without any loss-of-function CYP2C19 alleles (5·7%vs 3·8%, p=0·028), leading to earlier separation of event rates between treatment groups in patients with loss-of-function alleles. Patients on clopidogrel who had any gain-of-function CYP2C19 allele had a higher frequency of major bleeding (11·9%) than did those without any gain-of-function or loss-of-function alleles (9·5%; p=0·022), but interaction between treatment and genotype groups was not significant for any type of major bleeding. INTERPRETATION: Ticagrelor is a more efficacious treatment for acute coronary syndromes than is clopidogrel, irrespective of CYP2C19 and ABCB1 polymorphisms. Use of ticagrelor instead of clopidogrel eliminates the need for presently recommended genetic testing before dual antiplatelet treatment. FUNDING: AstraZeneca.

Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group.

Genome-wide association (GWA) studies have proved extremely successful in identifying novel genetic loci contributing effects to complex human diseases. In doing so, they have highlighted the fact that many potential loci of modest effect remain undetected, partly due to the need for samples consisting of many thousands of individuals. Large-scale international initiatives, such as the Wellcome Trust Case Control Consortium, the Genetic Association Information Network, and the database of genetic and phenotypic information, aim to facilitate discovery of modest-effect genes by making genome-wide data publicly available, allowing information to be combined for the purpose of pooled analysis. In principle, disease or control samples from these studies could be used to increase the power of any GWA study via judicious use as "genetically matched controls" for other traits. Here, we present the biological motivation for the problem and the theoretical potential for expanding the control group with publicly available disease or reference samples. We demonstrate that a naïve application of this strategy can greatly inflate the false-positive error rate in the presence of population structure. As a remedy, we make use of genome-wide data and model selection techniques to identify "axes" of genetic variation which are associated with disease. These axes are then included as covariates in association analysis to correct for population structure, which can result in increases in power over standard analysis of genetic information from the samples in the original GWA study.

Molecular and genetic association of interleukin-6 in tacrine-induced hepatotoxicity.

BACKGROUND: Tacrine, an anticholinesterase used to treat Alzheimer's disease (AD), leads to an increase in serum alanine aminotransferase (ALT) levels. The factors determining individual susceptibility are largely unknown. The purpose of this study was to investigate genetic predisposition. METHODS: Rats were administered single dose tacrine (3-40 mg/kg). After 6 and 24 h, hepatic gene expression was determined using the affymetrix rat U34A microarray. On the basis of the gene expression data, the IL6 gene was identified as a potential candidate for tacrine transaminitis susceptibility. Sixty-nine patients with AD on tacrine with or without transaminitis were genotyped for 17 IL6 polymorphisms. RESULTS: Serum aspartate aminotransferase levels in rats increased after tacrine (40 mg/kg) administration. Forty-six and 29 genes showed significant upregulation at 6 and 24 h, respectively, after administration, including the IL-6-regulated acute phase response genes alpha2-macroglobulin, fibronectin and haptoglobin. Five of the 17 IL6 polymorphisms studied in AD patients showed an association (P<0.05) with transaminitis [ALT>2 x upper limit of normal (ULN)]. An association existed between maximum ALT and area under curve for ALT over 15 weeks and an intronic polymorphism (P<0.01) and a 3'-variable nucleotide tandem repeat (P<0.05). Multilocus haplotype analysis showed one haplotype (which included the -597A, -572G, -174G and variable nucleotide tandem repeat-D alleles) had a frequency of 0.1 in patients with ALT values >2 x ULN, whereas it was absent in patients with ALT less than 2 x ULN (P=0.0093, Pcorrected=0.049). CONCLUSION: The IL6 genotype may act as a predisposing factor for tacrine transaminitis. This, however, requires further confirmatory functional studies. The role of acute dosing rodent models in identifying candidate genes associated with drug-induced liver injury in man deserves further study.

Tacrine-induced liver damage: an analysis of 19 candidate genes.

OBJECTIVES: Tacrine, the first acetylcholinesterase inhibitor used in the treatment of Alzheimer's disease, is associated with transaminase elevation in up to 50% of patients. The mechanism of tacrine-induced liver damage is not fully understood, but earlier studies have suggested that genetic factors may play a role. Our aim was to investigate whether single-nucleotide polymorphisms (SNPs) in 19 candidate genes were associated with tacrine-induced liver damage. METHODS: Sixty-nine patients of Caucasian origin treated with tacrine for Alzheimer's disease were investigated by genotyping 241 SNPs in 19 candidate genes potentially related to hepatotoxicity. The association with ABCB4 [which encodes MultiDrug Resistance Protein 3 (MDR3)] was explored in transepithelial transport studies using the ABCB4-transfected pig kidney epithelial cell line (LLC-PK1). RESULTS: The strongest association between alanine aminotransferase levels and three SNPs within ATP-binding cassette, subfamily B (MDR/TAP), member 4 (ABCB4) (uncorrected P=0.0005) was not significant after adjusting for multiple testing. No association was demonstrated with ATP-binding cassette, subfamily B (MDR/TAP), member 1 (ABCB1) or carnitine O-octanoyltransferase (CROT) which are located adjacent to ABCB4. Using the transepithelial transport system we failed to show a difference in tacrine accumulation between ABCB4-transfected and parental cell lines. The association with ABCB4 warrants further testing using either another population and/or functional studies.

Sequencing and association analysis of the type 1 diabetes-linked region on chromosome 10p12-q11.

BACKGROUND: In an effort to locate susceptibility genes for type 1 diabetes (T1D) several genome-wide linkage scans have been undertaken. A chromosomal region designated IDDM10 retained genome-wide significance in a combined analysis of the main linkage scans. Here, we studied sequence polymorphisms in 23 Mb on chromosome 10p12-q11, including the putative IDDM10 region, to identify genes associated with T1D. RESULTS: Initially, we resequenced the functional candidate genes, CREM and SDF1, located in this region, genotyped 13 tag single nucleotide polymorphisms (SNPs) and found no association with T1D. We then undertook analysis of the whole 23 Mb region. We constructed and sequenced a contig tile path from two bacterial artificial clone libraries. By comparison with a clone library from an unrelated person used in the Human Genome Project, we identified 12,058 SNPs. We genotyped 303 SNPs and 25 polymorphic microsatellite markers in 765 multiplex T1D families and followed up 22 associated polymorphisms in up to 2,857 families. We found nominal evidence of association in six loci (P = 0.05 - 0.0026), located near the PAPD1 gene. Therefore, we resequenced 38.8 kb in this region, found 147 SNPs and genotyped 84 of them in the T1D families. We also tested 13 polymorphisms in the PAPD1 gene and in five other loci in 1,612 T1D patients and 1,828 controls from the UK. Overall, only the D10S193 microsatellite marker located 28 kb downstream of PAPD1 showed nominal evidence of association in both T1D families and in the case-control sample (P = 0.037 and 0.03, respectively). CONCLUSION: We conclude that polymorphisms in the CREM and SDF1 genes have no major effect on T1D. The weak T1D association that we detected in the association scan near the PAPD1 gene may be either false or due to a small genuine effect, and cannot explain linkage at the IDDM10 region.

Serious carbamazepine-induced hypersensitivity reactions associated with the HSP70 gene cluster.

OBJECTIVES: The use of carbamazepine (CBZ), the most commonly prescribed antiepileptic drug, is hampered by the occurrence of severe, potentially lethal hypersensitivity reactions. The pathogenesis of hypersensitivity is not yet known, but immune mechanisms are involved. Predisposition to CBZ hypersensitivity is likely to be genetically determined, and genes within the major histocompatibility complex (MHC) have been implicated. The heat shock protein (HSP70) gene cluster is located in the MHC class III region. METHODS: Using a case-control study design, we compared 61 patients with CBZ hypersensitivity (22 with a severe reaction) to 44 patients on CBZ with no signs of hypersensitivity and 172 healthy controls. The genotyping strategy involved identification of common and rare single nucleotide polymorphisms (SNPs) within the HSP70 gene cluster by sequencing, estimation of linkage disequilibrium (LD) and haplotype structure, and thereafter, analysis of SNP/haplotype frequencies in the cases and controls. Population substructure was evaluated by genotyping of 34 microsatellites. RESULTS: Twenty-five SNPs were detected across the three HSP70 genes. Analyses revealed that alleles G, T and C at the SNPs HSPA1A +1911 C/G, HSPA1A +438 C/T and HSPA1L +2437 T/C, respectively, were associated with protection from serious hypersensitivity reactions to CBZ, with the associated alleles falling on a common haplotype. We were unable to detect the presence of population stratification in our patients and controls. CONCLUSIONS: Our data show that HSP70 gene variants are associated with serious CBZ hypersensitivity reactions, but whether this is causal or reflects LD with another gene within the MHC requires further study.

Gene mapping strategies for complex disease and drug response.

The identification of genetic variants involved in disease susceptibility and response to drugs through the use of statistical and epidemiological approaches is a potentially powerful methodology for uncovering causal relationships in human disease and its treatment. Here we introduce and compare the application of genetics in these two fields of research.:

Common polymorphism in H19 associated with birthweight and cord blood IGF-II levels in humans.

BACKGROUND: Common genetic variation at genes that are imprinted and exclusively maternally expressed could explain the apparent maternal-specific inheritance of low birthweight reported in large family pedigrees. We identified ten single nucleotide polymorphisms (SNPs) in H19, and we genotyped three of these SNPs in families from the contemporary ALSPAC UK birth cohort (1,696 children, 822 mothers and 661 fathers) in order to explore associations with size at birth and cord blood IGF-II levels. RESULTS: Both offspring's and mother's H19 2992C>T SNP genotypes showed associations with offspring birthweight (P = 0.03 to P = 0.003) and mother's genotype was also associated with cord blood IGF-II levels (P = 0.0003 to P = 0.0001). The offspring genotype association with birthweight was independent of mother's genotype (P = 0.01 to P = 0.007). However, mother's untransmitted H19 2992T allele was also associated with larger birthweight (P = 0.04) and higher cord blood IGF-II levels (P = 0.002), suggesting a direct effect of mother's genotype on placental IGF-II expression and fetal growth. The association between mother's untransmitted allele and cord blood IGF-II levels was more apparent in offspring of first pregnancies than subsequent pregnancies (P-interaction = 0.03). Study of the independent Cambridge birth cohort with available DNA in mothers (N = 646) provided additional support for mother's H19 2992 genotype associations with birthweight (P = 0.04) and with mother's glucose levels (P = 0.01) in first pregnancies. CONCLUSION: The common H19 2992T allele, in the mother or offspring or both, may confer reduced fetal growth restraint, as indicated by associations with larger offspring birth size, higher cord blood IGF-II levels, and lower compensatory early postnatal catch-up weight gain, that are more evident among mother's smaller first-born infants.

Comparison of population- and family-based methods for genetic association analysis in the presence of interacting loci.

We compared different ascertainment schemes for genetic association analysis: affected sib-pairs (ASPs), case-parent trios, and unrelated cases and controls. We found, with empirical type 1 diabetes data at four known disease loci, that studies based on case-parent trios and on unmatched cases and controls often gave higher odds ratio estimates and stronger significance test values than ASP designs. We used simulations and a simplified disease model involving two interacting loci, one of large effect and one smaller, to examine interaction models that could cause such an effect. The different ascertainment schemes were compared for power to detect an effect when only the locus of smaller effect was genotyped. ASPs showed the greatest power for association testing under most models of interaction except under additive and certain epistatic crossover models, for which case/controls and case-parent trios did better. All ascertainment schemes gave an unbiased estimation of log genotype relative risks (GRRs) under a multiplicative model. Under nonmultiplicative interactions, GRRs at the minor locus as estimated from ASPs could be biased upwards or downwards, resulting in either an increase or decrease in power compared to the case/control or trio design. For the four known type 1 diabetes loci, we observed decreased risks with ASPs, which could be due to additive interactions with the remaining susceptibility loci. Thus, the optimal ascertainment strategy in genetic association studies depends on the unknown underlying multilocus genetic model, and on whether the goal of the study is to detect an effect or to accurately estimate the resulting disease risks.