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Background/aim Treatment options for advanced non-small cell lung cancer (NSCLC) include immunotherapy. Elevated carcinoembryonic antigen (CEA) and cancer antigen 125 (Ca-125) levels are associated with poorer prognoses of resected NSCLC, but currently no predictive biomarkers exist for immunotherapy response. This study evaluated CEA and Ca-125 as predictive biomarkers for immunotherapy efficiency in patients with metastatic NSCLC. Patients and methods The single-centre observational retrospective study includes NSCLC stage III/IV patients treated with programmed death-ligand 1 (PD-L1) inhibitors nivolumab or pembrolizumab. The primary study endpoint was treatment response assessed by CT-scan following RECIST-criteria 1.1. CEA/Ca-125 serum values were determined at initiation of treatment and repeated every 2 weeks. Values closest to the day of CT-scan were compared to baseline values. Results A total of 136 patients were treated with mono-immunotherapy. Of these, 73 patients were included in the CEA group and 53 patients were included in the Ca-125 group. Baseline CEA and Ca-125 ranged from 8.14 to 5,909 and 1.1 to 4,238 respectively. The sensitivity for Ca-125 as predictor for tumor response was 62.9% (95% CI=61.8%-63.6%), specificity 61.1% (95% CI=60.2%-62.0%), with a positive predictive value (PPV) of 75.9% (95% CI=75.2%-76.7%). For CEA, the sensitivity was 72.0% (95% CI=71.5%-72.5%), specificity 47.1% (95% CI 46.4%-47.8%), with a PPV of 80.0% (95% CI=79.6%-80.4%). Conclusion Increased serum CEA might predict tumor progression in NSCLC patients treated with PD-L1 inhibitors. Unconfirmed progression accompanied by increased CEA would support discontinuation of the immunotherapy, while continuation would be advised when serum CEA is not increased.

The use of preventive medication in palliative oncology patients may be inappropriate due to limited life expectancy. Deprescribing tools are available but time-consuming and not always tailored to this specific population. Our primary goal was to identify potentially inappropriate medications (PIMs) in palliative oncology patients with a life expectancy of up to 2 years using an adapted deprescribing tool. Our secondary aim was to identify patient characteristics associated with the presence of PIMs.Oncology patients with a life expectancy of up to 2 years were included cross-sectionally. An adapted deprescribing tool was developed to identify PIMs. Logistic regression was used to identify factors associated with having PIMs.A total of 218 patients were included in this study of which 56% had at least one PIM with a population mean of 1.1 PIM per patient. Most frequently defined PIMs were antihypertensive drugs and gastric acid inhibitors. Identification of PIMs by review took an estimated 5-10 min per patient. Polypharmacy, age65 years and inpatient/outpatient status were found to be associated with having at least one PIM.Deprescribing is possible in more than half of palliative oncology patients with a life expectancy of up to 2 years. The adapted deprescribing tool used is non-time consuming and suitable for palliative oncology patients, regardless of age.

The effect of switching from originator infliximab to biosimilar infliximab in patients with sarcoidosis is unknown. The objective of this study is to investigate the effect of switching from Remicade® or Inflectra® to Flixabi® in patients with severe refractory sarcoidosis. This single center retrospective cohort study was performed at St Antonius Hospital Nieuwegein, The Netherlands. All patients diagnosed with severe refractory sarcoidosis receiving Remicade® or Inflectra® switched to Flixabi®. The primary outcome was infliximab discontinuation within 6 months of switching. Secondary endpoints included adverse events and loss of clinical, functional, or inflammatory response. Out of 86 patients who switched to Flixabi®, 79 patients had complete data. None of the 79 patients discontinued infliximab during the first 6 months after switching. Five patients reported an adverse event related to Flixabi® treatment. We found no change from baseline in FVC, FEV1, DLCOc, 6MWT, and infliximab trough levels 26 weeks after switching. An improvement in physical functioning of 7.3 ± 13.4 points (p = 0.002) with RAND/SF36 and in biomarker sIL-2R (−475.58 ± 1452.39, p = 0.005) was observed. Switching from originator infliximab Remicade® or biosimilar infliximab Inflectra® to biosimilar infliximab Flixabi® did not result in treatment discontinuation or loss of clinical/functional/inflammatory remission.

Introduction: The introduction of immune checkpoint inhibitors heralded a new era in the treatment of non-small cell lung cancer. However, nivolumab, an anti-PD-1 antibody, can cause serious adverse events that are mostly autoimmune related. Case Presentation: A 58-year-old woman was treated with nivolumab as second-line therapy for stage IV adenocarcinoma. The patient developed a nivolumab-induced recurrent pneumonitis preceding durable clinical remission after seven cycles of nivolumab. Although high-dose glucocorticosteroids were tapered to conform to contemporary guidelines, recurring episodes of pneumonitis occurred without nivolumab rechallenge. In addition, carcinoembryonic antigen (CEA) serum levels were associated with treatment response, since CEA decline correlated with a near complete radiological response and, conversely, elevated CEA serum levels were associated with progressive disease. Conclusions: In this case, we described recurrence of nivolumab-induced pneumonitis as a serious adverse event in immune checkpoint inhibitors. Our case illustrates that immune-related adverse events may correlate with antitumour activity, even after treatment discontinuation. In addition, this case suggests the possible clinical utility of CEA serum levels for the assessment of (durable) effects of immunotherapy.

Background: The Value-Based Health Care (VBHC) concept defines patient value as patient relevant outcomes divided by costs. The aim of the present study is to explore systemic treatment costs versus overall survival (OS) over years. Methods: All patients diagnosed (in 2008-2014) with stage IV NSCLC and treated with systemic treatment in five Dutch large teaching hospitals (Santeon network) were included. We collected data on OS and amounts of drug units (mg) for every drug in the applied systemic cancer treatments up to death. These amounts were multiplied by Dutch unit costs (cost/mg) expressed in EUR 2018 to construct total drug costs per line of treatment per patient. Costs for day care visits were added, if applicable. Results: Data was collected from 983 patients. Figure 1 shows the mean total drug costs (split per line of treatment), median OS, and ratio between total costs and OS per year of diagnosis. The mean total drug costs per one year of survival ranged from €13.168 to €20.767 during the period under study. The use of maintenance therapy results in higher total drug costs in patients diagnosed in 2011 and 2012. Conclusion: This study shows that systemic treatment costs increase over time without survival improvements. Evaluating additional patient relevant outcomes such as quality of life will be helpful to better understand the added patient value of newer therapies in the future.

Background: The aim of this study is to assess the difference between outcomes in clinical trials and in real-world (efficacy-effectiveness gap) of systemic treatments for ED SCLC. Methods: All patients diagnosed with ED SCLC between 2008 and 2014 in four Dutch large teaching hospitals (Santeon network) were studied. For every patient, an efficacy-effectiveness factor (EE-factor) was calculated by dividing individual patients’ overall survival (OS) by the pooled median OS assessed from clinical trials with the respective treatment. Results: From 501 diagnosed patients, 366 (73%) started first-line treatment. Table 1 outlines the real-world OS, reference OS from clinical trials, and EE-factor for the most used first-line regimens (n=358). Overall, the median EE-factor was 0.80 (p Conclusion: Overall survival of patients with ED SCLC treated with systemic therapy in real-world practice is 20% shorter than for patients included in trials. Performance status partly explained this gap.

Metoprolol is among the most frequently prescribed beta-blockers for the treatment of various cardiovascular diseases. Genetic polymorphism within CYP2D6 has been shown to affect the rate of metabolism of metoprolol. Whether metoprolol dose adjustments are indicated in CYP2D6 poor metabolizers (PMs) has thus far not well been studied. The aim of this study was to determine the effect of the CYP2D6 genotype on the metoprolol maintenance dose in a chronic Dutch patient population. Patients were included if they were treated with metoprolol and in whom CYP2D6 genotype status was known. Patient and treatment characteristics were obtained retrospectively from the electronic healthcare records. Metoprolol maintenance dose was the primary endpoint and was defined as the last known dose that the patients had been treated with. Genotype data were categorized into four phenotypes, that is, PMs, intermediate metabolizers, extensive metabolizers, and ultra-rapid metabolizers (UMs). The endpoints were analyzed as PM versus non-PM. A total of 105 patients were included. The mean +/- SD maintenance dose in PMs (n = 12) was significantly lower compared with non-PMs (n = 93), that is, 48 +/- 20 versus 84 +/- 53 mg, respectively (P = 0.019). No association of the CYP2D6 genotype with the incidence of side effects was observed, although there was a trend for increased risk of drowsiness (P = 0.053). The results of this study show that the CYP2D6 genotype is associated with the maintenance dose of metoprolol. Patients with the CYP2D6 PM phenotype may benefit from a lower metoprolol starting dose, followed by further dose titration to provide patient-tailored therapy and thereby increase the effectiveness of treatment.

PURPOSE OF REVIEW: With the development of targeted therapies, the treatment strategy of patients with advanced or metastatic non-small cell lung cancer (NSCLC) has changed tremendously. In this review, we focus on the different aspects of the treatment of oncogene-driven NSCLC. RECENT FINDINGS: Patients with an EGFR or ALK alteration show a better clinical outcome with tyrosine kinase inhibitor (TKI) treatment compared to chemotherapy.Patients with a ROS1 rearrangement or a BRAF V600E mutation show favorable clinical outcome with TKI treatment compared to chemotherapy, although randomized trials are not available.Patients on TKIs will eventually develop disease progression because of acquired resistance.The treatment with immunotherapy in EGFR and ALK-positive NSCLC patients did not improve overall survival over that of chemotherapy.Blood-based genetic analysis provides the opportunity to noninvasively screen patients for the presence of oncogenic drivers and to monitor resistance during TKI treatment. SUMMARY: Targeted molecular therapies are now standard of care for patients with oncogene-driven NSCLC with a good clinical benefit and minimal toxicity. The role of immunotherapy in patients with molecular alterations is still unclear. Blood-based genotyping has gained interest in the diagnostic and resistance monitoring setting for patients with NSCLC.

BACKGROUND/AIM Epidermal growth factor receptor (EGFR) mutation testing is standard-of-care for advanced non-small cell lung cancer (NSCLC). Outcomes of second-/third-line compared to first-line tyrosine kinase inhibitors (TKIs) have shown conflicting results. We investigated utilization of molecular diagnostics and the outcomes of treatment with first-/second-line TKIs in patients with advanced NSCLC. MATERIALS AND METHODS Retrospective analysis was carried out of 2,206 patients with stage IIIb/IV NSCLC treated between 2008 and 2014 in four hospitals in the Netherlands. RESULTS The rate of performing molecular diagnostics increased from 20.8% to 74.4% in the study period. The median overall survival of EGFR mutation-positive patients treated with TKIs was superior compared to EGFR mutation-negative patients treated with chemotherapy (720 vs. 274 days, p

ObjectiveThe SLCO1B1 c.521T>C polymorphism is associated with statin plasma levels and simvastatin-induced adverse drug reactions. We studied whether the c.521T>C polymorphism is associated with dose decreases or switches to other cholesterol-lowering drugs during simvastatin and atorvastatin therapy, because these events are indicators of adverse drug reactions.Materials and methodsWe identified 1939 incident simvastatin and atorvastatin users in the Rotterdam Study, a population-based cohort study. Associations were studied using Cox proportional hazards analysis. Meta-analysis was performed with data from the Utrecht Cardiovascular Pharmacogenetics study.ResultsSimvastatin users with the c.521 CC genotype had a significantly higher risk of a dose decrease or switch than users with the TT genotype [hazard ratio (HR) 1.74, 95% confidence interval (CI) 1.05-2.88]. Female sex, age below 70 years, and low starting dose were risk factors. In atorvastatin users with starting dose of more than 20 mg, the risk of a dose decrease or switch was higher in users carrying a C allele than in users with the TT genotype (HR 3.26, 95% CI 1.47-7.25). In the meta-analysis the association in simvastatin users remained, with a significantly higher risk of a dose decrease or switch in simvastatin users with two minor alleles (HR 1.69, 95% CI 1.05-2.73). For atorvastatin users no significant association was found.ConclusionIn simvastatin users in the Rotterdam Study, we demonstrated an association between the c.521T>C polymorphism and dose decrease or switching, as indicators of adverse drug reactions, and provided risk factors for this association. For atorvastatin, an association was found in users with a starting dose of more than 20 mg.

Automation robots have recently come to the market as an alternative for manual compounding of drugs for intravenous administration. Our aim was to assess whether robotic compounding can be performed with monoclonal antibodies (mAbs) without influencing the aggregation state of the proteins. Three frequently used mAbs were studied: infliximab (Remicade®, Janssen Biotech) and trastuzumab (Herceptin®, Roche) in lyophilised form, and bevacizumab (Avastin®, Roche) as a liquid formulation stored at 2°C to 8°C. The effects of different procedures to prepare the patient doses on antibody aggregation were evaluated. Remicade® and Herceptin® were reconstituted both manually and by a robotic arm (i.v.STATION®, Health Robotics). Additionally, the influence of vigorous shaking during reconstitution was investigated. The effects of rapid aspiration and dispensing on antibody aggregation were investigated for all three mAbs. Aggregation state was assessed by UV-Vis absorbance, 90° light scatter, fluorescence spectroscopy, Nile red fluorescence microscopy, and field flow fractionation without cross and focus flow. Robotic reconstituted samples showed similar findings compared with manual reconstitution if performed exactly according to the summary of product characteristics (SPC). Vials that were vigorously shaken showed a significant increase in aggregates. Similarly, rapid aspiration/dispense cycles resulted in a strong increase in the number and sizes of aggregates for all three mAbs; this result was observed after just one rapid aspiration/dispense cycle. Our study showed that robotic compounding of mAbs is feasible if the robot is exactly programmed according to the SPC, indicating that robotic compounding can be used to achieve reproducible high-quality compounding for delicate formulations.

BACKGROUND: High plasma HDL cholesterol is associated with reduced risk of myocardial infarction, but whether this association is causal is unclear. Exploiting the fact that genotypes are randomly assigned at meiosis, are independent of non-genetic confounding, and are unmodified by disease processes, mendelian randomisation can be used to test the hypothesis that the association of a plasma biomarker with disease is causal. METHODS: We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20,913 myocardial infarction cases, 95,407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12,482 cases of myocardial infarction and 41,331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. FINDINGS: Carriers of the LIPG 396Ser allele (2·6% frequency) had higher HDL cholesterol (0·14 mmol/L higher, p=8×10(-13)) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with non-carriers. This difference in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84-0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88-1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58-0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68-1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45-1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69-2·69, p=2×10(-10)). INTERPRETATION: Some genetic mechanisms that raise plasma HDL cholesterol do not seem to lower risk of myocardial infarction. These data challenge the concept that raising of plasma HDL cholesterol will uniformly translate into reductions in risk of myocardial infarction. FUNDING: US National Institutes of Health, The Wellcome Trust, European Union, British Heart Foundation, and the German Federal Ministry of Education and Research.

Genetic variability has been shown to affect statin responsiveness. Participants from the Utrecht Cardiovascular Pharmacogenetics (UCP) studies were enrolled from a population-based registry of pharmacy records linked to hospital discharge records (PHARMO) to investigate tagging SNPs within candidate genes involved in the cholesterol lowering pathway for modification of the effectiveness of statins in reducing the risk of myocardial infarction (MI). Patients who received a prescription for an antihypertensive drug and/or had hypercholesterolemia were selected from the PHARMO database. We designed a nested case-control study in which cases were hospitalized for MI and controls were not. Patients were contacted through their community pharmacies. For this study, only hypercholesterolemic participants were selected. Logistic regression analysis was used to investigate pharmacogenetic interactions. The Heart and Vascular Health Study (HVH) was used to replicate findings from UCP. The study population included 668 cases and 1217 controls. We selected 231 SNPs of which 209 SNPs in 27 genes passed quality control. Ten SNPs in eight genes were found to influence the effectiveness of statins in UCP, of which the most significant interaction was found with SCARB1 rs4765615. Other genes that reached statistical significance (p < 0.05) included two SNPs in PCSK9 (rs10888896 and rs505151 (E670G)), two SNPs in ABCG5 (rs4245786 and rs1864815), LIPC rs16940379, ABCA1 rs4149264, PPARG rs2972164, LRP1 rs715948, and SOAT1 rs2493121. None of the total of 5 SNPs that were available for replication in HVH reached statistical significance. In conclusion, ten SNPs were found to modify the effectiveness of statins in reducing the risk of MI in the UCP study. Five were also tested in the HVH study, but no interactions reached statistical significance. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

Pharmacogenomics strives to explain the interindividual variability in response to drugs due to genetic variation. Although technological advances have provided us with relatively easy and cheap methods for genotyping, promises about personalised medicine have not yet met our high expectations. Successful results that have been achieved within the field of pharmacogenomics so far are, to name a few, HLA-B*5701 screening to avoid hypersensitivity to the antiretroviral abacavir, thiopurine S-methyltransferase (TPMT) genotyping to avoid thiopurine toxicity, and CYP2C9 and VKORC1 genotyping for better dosing of the anticoagulant warfarin. However, few pharmacogenetic examples have made it into clinical practice in the treatment of complex diseases. Unfortunately, lack of reproducibility of results from observational studies involving many genes and diseases seems to be a common pattern in pharmacogenomic studies. In this article we address some of the methodological and statistical issues within study design, gene and single nucleotide polymorphism (SNP) selection and data analysis that should be considered in future pharmacogenomic research. First, we discuss some of the issues related to the design of epidemiological studies, specific to pharmacogenomic research. Second, we describe some of the pros and cons of a candidate gene approach (including gene and SNP selection) and a genome-wide scan approach. Finally, conventional as well as several innovative approaches to the analysis of large pharmacogenomic datasets are proposed that deal with the issues of multiple testing and systems biology in different ways.

Aims: Genetic variability within the SLCO1B1 and ABCB1 transporter genes has been associated with modification of statin effectiveness in cholesterol management. Materials & methods: We conducted a case–control study using a population-based registry of pharmacy records linked to the hospital discharge records. Within a hypercholesterolemic cohort, we included 668 myocardial infarction cases and 1217 controls. Results: We tested 24 tagging SNPs and found two SNPs within ABCB1 (rs3789244, p = 0.01; rs1922242, p = 0.01) to interact with statin treatment. In addition, we found a nonsignificant haplotype–treatment interaction (p = 0.054). The odds ratio for subjects homozygous for SLCO1B1*1A was 0.49 (95% CI: 0.34–0.71) compared with 0.31 (95% CI: 0.24–0.41) for heterozygous or noncarriers of the *1A allele. Conclusion: This is the first study to demonstrate that common genetic variability within the SLCO1B1 and ABCB1 genes is associated with the modification of the effectiveness of statins in the prevention of the clinical outcome, myocardial infarction.

In developed countries, cardiovascular disease is one of the leading causes of death. Statins are abundantly prescribed to reduce the risk of coronary artery disease by lowering cholesterol. Genetic factors are thought to be partly responsible for the interindividual variation in the response to statins. This article reviews the most important studies conducted on pharmacogenetics of statins. Currently, there is no evidence to advocate pharmacogenetic testing before initiating therapy.

Pharmacogenetic research has shown that genetic variation may influence statin responsiveness. Statins exert a variety of beneficial effects beyond lipid lowering, including antithrombotic effects, which contribute to the risk reduction of cardiovascular disease. Statins have been shown to influence the expression of coagulation factors II, V, VII, XII and XIII.Data from a large randomized clinical trial of pravastatin, designed to show efficacy relative to usual care, were used to investigate whether a pharmacogenetic effect of polymorphisms in genes coding for coagulation factors II, V, VII, XII and XIII is associated with reduced fatal coronary heart disease (CHD) and nonfatal myocardial infarction, combined CHD and all-cause mortality.The Genetics of Hypertension Associated Treatment is an ancillary study of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial. The genotyped population in the lipid-lowering trial of Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial included 9624 participants randomly assigned to pravastatin or to usual care. The efficacy of pravastatin in reducing risk of all-cause mortality, CHD and nonfatal myocardial infarction and combined CHD, was compared among genotype strata by examining an interaction term in a proportional hazards model.None of the polymorphisms were associated with the clinical outcomes. For the F7 (-323) ins/del polymorphism there was no interaction with pravastatin for either outcome. For both the F5 Arg506Gln GA (rs6025) polymorphism and F7 Arg353Gln GA (rs6046) polymorphism there were no interactions with pravastatin in relation to all-cause mortality, but there were significant interactions with combined CHD [interaction hazard ratio = 1.33, 95% confidence interval (1.01-1.76) and interaction hazard ratio = 1.92, 95% confidence interval (1.00-3.65), respectively]. There were no interactions between the polymorphisms in the other coagulation genes and pravastatin in relation to any outcome.Polymorphisms in anticoagulation genes (F5 and F7) seem to modify the efficacy of pravastatin in reducing risk of cardiovascular events.

In developed countries, cardiovascular disease is one of the leading causes of death. Among other statins, pravastatin is abundantly prescribed to reduce risk of coronary artery disease by lowering cholesterol. Genetic factors are thought to be partly responsible for the interindividual variation in the response to pravastatin. This article reviews the most important studies conducted on the pharmacogenetics of pravastatin. Currently there is no evidence to advocate pharmacogenetic testing before initiating therapy.

Introduction The GNB3 C825T polymorphism has been shown to affect lipid parameters, atherosclerosis progression, and incidence of myocardial infarction (MI). Therefore, we assessed whether the effectiveness of statins in reducing the risk of MI was modified by the GNB3 C825T polymorphism. Methods In a population-based registry of pharmacy records linked to hospital discharge records (PHARMO), we used a nested case-control design. We selected patients hospitalized for MI as cases if they used antihypertensive drugs and had a diagnosis of hypercholesterolemia before their first MI. Controls met the same eligibility criteria, but were not hospitalized for MI. Logistic regression analysis was used to calculate odds ratios (OR) and synergy index with corresponding 95% confidence intervals (CI), and to adjust for potential confounding factors. Results We included 459 cases and 1805 controls. The risk of MI was significantly lower among participants exposed to statins compared with participants not exposed to statins (adjusted OR: 0.37, 95% CI: 0.29-0.47). The GNB3T allele was associated with a reduced risk of MI (adjusted OR: 0.74, 95% Cl: 0.60-0.92). Among homozygous wild-type (CC) individuals (n = 1119), exposure to statins was associated with a lower risk of MI (OR: 0.48, 95% Cl: 0.34-0.67). However, T allele carriers (CT and TT) who used statins had an even stronger reduced risk of M I (OR: 0.27, 95% Cl: 0.19-0.39). Overall, the interaction between exposure to statins and the GNB3 C825T polymorphism was significantly increased on the multiplicative scale (synergy index: 1.67, 95% Cl: 1.06-2.65). Conclusion Our findings show that T allele carriers of the GNB3 C825T polymorphism have less risk of MI and are more likely to benefit from statin therapy in a hypercholesterolemic population of antihypertensive drug users. Pharmacogenetics and Genomics 18:631-636 (c) 2008 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.

Height is a classic complex trait with common variants in a growing list of genes known to contribute to the phenotype. Using a genecentric genotyping array targeted toward cardiovascular-related loci, comprising 49,320 SNPs across approximately 2000 loci, we evaluated the association of common and uncommon SNPs with adult height in 114,223 individuals from 47 studies and six ethnicities. A total of 64 loci contained a SNP associated with height at array-wide significance (p < 2.4 × 10-6), with 42 loci surpassing the conventional genome-wide significance threshold (p < 5 × 10-8). Common variants with minor allele frequencies greater than 5% were observed to be associated with height in 37 previously reported loci. In individuals of European ancestry, uncommon SNPs in IL11 and SMAD3, which would not be genotyped with the use of standard genome-wide genotyping arrays, were strongly associated with height (p < 3 × 10-11). Conditional analysis within associated regions revealed five additional variants associated with height independent of lead SNPs within the locus, suggesting allelic heterogeneity. Although underpowered to replicate findings from individuals of European ancestry, the direction of effect of associated variants was largely consistent in African American, South Asian, and Hispanic populations. Overall, we show that dense coverage of genes for uncommon SNPs, coupled with large-scale meta-analysis, can successfully identify additional variants associated with a common complex trait. © 2011 The American Society of Human Genetics.