Development of a Method for Assessing Country-Based Flood Risk at the Global Scale

International frameworks such as the Sustainable Development Goals and the Sendai Framework for Disaster Risk Reduction 2015-2030 require the quantification of country-based flood risk.However,few approaches at the global scale include the three necessary components(hazard,exposure,and vulnerability)for determining disaster risk and are country-based assessments,owing to major challenges such as limited data availability and vulnerability proxy selection.Therefore,in this study,a method was developed with the following features:Incorporating the hazard,exposure,and vulnerability components;Applicable to the vast majority of countries in the world;Visualizing priority countries and illustrating effective measures and strategies;Clear and easy to understand by leaders and decision makers of international organizations,governments,and other stakeholders;Identifying each country’s challenges and providing guidance on specific issues for more detailed investigation and policy creation;Including more extensive factors compared with past studies.In Asia and the Pacific,the Flood Risk Index computed by the developed method is compared with the fatality ratio,and the results show that improving flood resilience secures people and society regardless of the magnitude and frequency of floods.Analysis at the global scale visualizes regional tendencies and indicates that countries closer to the equator have higher flood risk.Analysis of country-based flood risk based on five indicators demonstrates that the developed method can assist international organizations,governments,and other stakeholders to further examine country-specific conditions and establish and implement policies and strategies toward building a resilient society and achieving international targets.     

The Role of Knowledge in Disaster Risk Reduction

Disaster risk reduction policy and practice require knowledge for informed decision making and coordinated action. Although the knowledge production and implementation processes are critical for disaster risk reduction, these issues are seldom systematically addressed in-depth in disaster studies and policy programs. While efforts and improvements have been made with regard to data and information, only limited resources are committed to improving knowledge management structures and integrating knowledge systems at different spatial levels. The recently adopted Sendai Framework for Disaster Risk Reduction 2015–2030 addresses knowledge-related issues and provides the opportunity to highlight the critical role of knowledge in disaster risk reduction. This article presents insights into potential conceptualizations of knowledge that would advance disaster research and policy. We use cases from France to illustrate challenges of and pathways to disaster risk reduction. We suggest to further strengthen efforts that improve our understanding of the connections between disaster risk, knowledge, and learning. A better integration of multiple scales, different societal actors,various knowledge sources, and diverse disciplines into disaster risk research will increase its relevance for decision-makers in policy and practice. Well-targeted incentives and political backing will improve the coherence,coordination, and sharing of knowledge among various actors and arenas.     

Role of the Wnt/β-catenin pathway in gastric cancer: An indepth literature review

Gastric cancer remains one of the most common cancers worldwide and one of the leading cause for cancerrelated deaths. Gastric adenocarcinoma is a multifactorial disease that is genetically, cytologically and architecturally more heterogeneous than other gastrointestinal carcinomas.The aberrant activation of the Wnt/β-catenin signaling pathway is involved in the development and progression of a significant proportion of gastric cancer cases. This review focuses on the participation of the Wnt/b-catenin pathway in gastric cancer by offering an analysis of the relevant literature published in this field. Indeed, it is discussed the role of key factors in Wnt/β-catenin signaling and their downstream effectors regulating processes involved in tumor initiation, tumor growth, metastasis and resistance to therapy. Available data indicate that constitutive Wnt signalling resulting from Helicobacter pylori infection and inactivation of Wnt inhibitors(mainly by inactivating mutations and promoter hypermethylation) play an important role in gastric cancer. Moreover, a number of recent studies confirmed CTNNB1 and APC as driver genes in gastric cancer. The identification of specific membrane, intracellular, and extracellular components of the Wnt pathway has revealed potential targets for gastric cancer therapy. High-throughput "omics" approaches will help in the search for Wnt pathway antagonist in the near future.     

公立医院组织文化测评量表研究

目的借鉴Denison组织文化模型,结合我国公立综合性医院特点,科学测评医院文化.方法 运用我国东、中、西3省/直辖市的87所医院的调查数据,研究设计了医院文化测评量表.结果 医院文化测评量表包括方向性、一致性、参与性、适应性4大文化特性以及社会责任、竞争意识在内的13个文化维度,经检验,量表具有良好的内部信度和效度.结论 医院文化测评量表为医院管理者进行医院文化测评、诊断和改善提供了测评工具.

Abstract：

Objective A scientific evaluation of hospital culture with the Dimension organizational culture model, in view of features of China's general public hospitals.Methods Based on Denison model, according to the characteristics of the public general hospitals in China, the authors developed a tool for organizational culture assessment (TOCA) by using the survey data from 87 hospitals in three provinces from the East, Central, and West areas in China.Results This tool, an evaluation scale, comprises the four cultural characteristics of direction, consistency, participation, and adaptability, as well as 13 cultural dimensions of social responsibility and competitive consciousness. The tool is tested as having good internal reliability and validity.Conclusion The TOCA provides hospital administrators with a tool for hospital culture evaluation, diagnosis and improvement.     

Permafrost Thaw and Associated Settlement Hazard Onset Timing over the Qinghai-Tibet Engineering Corridor

In permafrost areas, the timing of thermal surface settlement hazard onset is of great importance for the construction and maintenance of engineering facilities.Future permafrost thaw and the associated thermal settlement hazard onset timing in the Qinghai-Tibet engineering corridor(QTEC) were analyzed using high-resolution soil temperature data from the Community Land Model version4 in combination with multiple model and scenario soil temperature data from the fifth phase of the Coupled Model Intercomparison Project(CMIP5). Compared to the standard frozen ground map for the Tibetan Plateau and ERAInterim data, a multimodel ensemble reproduces the extent of permafrost and soil temperature change in the QTEC at a 1 m depth from 1986–2005. Soil temperature and active layer thickness increase markedly during 2006–2099 using CMIP5 scenarios. By 2099, the ensemble mean soil temperature at 15 m depth will increase between 1.0 and 3.6 ℃ in the QTEC. Using crushed-rock revetments can delay the onset of thermal settlement hazard for colder permafrost areas by approximately 17 years in the worst case scenario of RCP8.5. Nearly one-third of the area of the QTEC exhibits settlement hazard as early as 2050, and half of this one-third of the area is traversed by the QinghaiTibet highway/railway, a situation that requires more planning and remedial attention. Simulated onsets of thermal settlement hazard correspond well to the observed soil temperature at 15 m depth for seven grid areas in the QETC, which to some extent indicates that these timingestimates are reasonable. This study suggests that climate model-based timing estimation of thermal settlement hazard onset is a valuable method, and that the results are worthy of consideration in engineering design and evaluation.     

上海市基本药物制度实施的主要思考与举措

回顾了国家基本药物制度相关政策,介绍了上海市基本药物制度实施的主要思考和举措,提出了改善上海市基本药物制度实施的建议,为上海及全国推进基本药物制度的建立、完善实施方案,提供了决策信息和可借鉴的经验.

Abstract：

The relevant policies of national essential medicine system were reviewed, major concerns and actions in the implementation of essential medicine system in Shanghai were introduced, and the suggestions to improve the implementation of essential medicine system of Shanghai were made. These provided the information for policy making and provided a useful experience for facilitating the establishment of essential medicine system and the improvement of its implementation in Shanghai as well as China.     

神经网络在麻疹预测预警中的应用

探讨神经网络在麻疹发病数预警中的应用,以武汉市1986年1月至2006年8月麻疹病例数为依据,分别以月和周为单位,应用神经网络建立模型进行预测.结果 表明,在用两层反向传播(BP)神经网络建立时间序列动态模型时,当p=9时,网络的收敛速度可以接受,相关系数达到0.85,接近l,按月预测较准确;用概率神经网络(PNN)按周分类预测较好.数据积累较多时,用两层BP神经网络预测作早期预警较为可行;对于某些疾病因数据的积累时间较短,利用时间序列精确预测不能得到令人满意的结果时,可以用PNN预测.该方法有望在疾病暴发早期预警系统的建立中得到应用.

Abstract：

To discuss the effects on early warning of measles, using the neural networks.Based on the available data through monthly and weekly reports on measles from January 1986 to August 2006 in Wuhan city. The modal was developed using the neural networks to predict and analyze the prevalence and incidence of measles. When the dynamic time series modal was established with back propagation(BP) networks consisting of two layers, if p was assigned as 9, the convergence speed was acceptable and the correlation coefficient was equal to 0.85. It was more acceptable for monthly forecasting the specific value, but better for weekly forecasting the classification under probabilistic neural networks (PNN). When data was big enough to serve the purpose, it seemed more feasible for early warning using the two-layer BP networks. However, when data was not enough, then PNN could be used for the purpose of prediction. This method seemed feasible to be used in the system for early warning.     

The Sendai Framework for Disaster Risk Reduction and Persons with Disabilities

In this paper, the Sendai Framework for Disaster Risk Reduction 2015–2030(SFDRR) is evaluated with respect to its ramifications for persons with disabilities. In the SFDRR, persons with disabilities were referenced either directly or indirectly as part of the preamble,the guiding principles, the priorities for action, and the role of stakeholders. In addition, the 2015 World Conference on Disaster Risk Reduction, during which the SFDRR was adopted, incorporated explicit recommendations toward a disability-accessible and inclusive environment not evident in previous disaster risk reduction conferences. The infusion of disability-related terms and concepts such as accessibility, inclusion, and universal design throughout the SFDRR document was significant. These concepts,which have their origin in disability studies, are used in the SFDRR document to refer to the needs of all in disaster,not only to people with disabilities. These disability-related concepts will now serve the field of disaster risk reduction as important overarching disaster-related principles. The authors conclude that the SFDRR has firmly established people with disabilities and their advocacy organizations as legitimate stakeholders and actors in the design and implementation of international disaster risk reduction policies.     

Closer look at white-coat hypertension

This review aims to clarify novel concepts regarding the clinical and laboratory aspects of white-coat hypertension(WCHT). Recent studies on the clinical and biological implications of WCHT were compared with existing knowledge. Studies were included if the WCHT patients were defined according to the 2013 European Society of Hypertension guidelines, i.e., an office blood pressure(BP) of ≥ 140/90 mm Hg, a home BP of ≤ 135/85 mm Hg, and a mean 24-h ambulatory BP of ≤ 130/80 mm Hg. WCHT studies published since 2000 were selected, although a few studies performed before 2000 were used for comparative purposes. True WCHT was defined as normal ABPM and home BP readings, and partial WCHT was defined as an abnormality in one of these two readings. The reported prevalence of WCHT was 15%-45%. The incidence of WCHT tended to be higher in females and in non-smokers. Compared with normotensive(NT) patients, WCHT was associated with a higher left ventricular mass index, higher lipid levels, impaired fasting glucose, and decreased arterial compliance. The circadian rhythm in WCHT patients was more variable than in NT patient's, with a higher pulse pressure and non-dipping characteristics. Compared with sustained hypertension patients, WCHT patients have a better 10-year prognosis; compared with NT patients, WCHT patients have a similar stroke risk, but receivemore frequent drug treatment. There are conflicting results regarding WCHT and markers of endothelial damage, oxidative stress and inflammation, and the data imply that WCHT patients may have a worse prognosis. Nitric oxide levels are lower, and oxidative stress parameters are higher in WCHT patients than in NT patients, whereas the antioxidant capacity is lower in WCHT patients than in NT patients. Clinicians should be aware of the risk factors associated with WCHT and patients should be closely monitored especially to identify target organ damage and metabolic syndrome.     

Blepharis persica increases testosterone biosynthesis by modulating StAR and 3β-HSD expression in rat testicular tissues

Objective:To evaluate the effect of methanolic extract and ethyl acetate fraction of methanol extract prepared from the seeds of Blepharis(B.)persica on testosterone biosynthesis and also to elucidate the underlying mechanism.Methods:Forty-eight male Wistar rats were divided into eight groups(n=6 per group).GroupⅠreceived 0.3%w/w gum acacia suspension p.o.and served as the normal control group.GroupⅡwas administered testosterone propionate in arachis oil i.m.as the positive control group.GroupⅢtoⅣreceived B.persica methanolic extract p.o.at doses of 50,100 and 200 mg/kg body weight.GroupⅥtoⅦreceived B.persica ethyl acetate fraction p.o.at doses of 50,100 and 200 mg/kg body weight.The testis was used for biochemical estimation and histological studies.The effects of methanolic extract and ethyl acetate fraction of B.persica on testicular testosterone,mRNA expression corresponding to steroidogenic acute regulatory protein(StAR)and 3β-hydroxysteroid dehydrogenase(3β-HSD)along with 3β-HSD enzyme assay were evaluated in testicular tissues and sperm concentration.Ethyl acetate fraction of B.persica was subjected to column chromatography.Invitro studies were performed using TM3 cell line at three dose levels(50,100,200μg/mL),each for methanolic extract,ethyl acetate fraction and 2-benzoxazolinone for evaluation of their comparative effect on testosterone production.Results:Ethyl acetate fraction and methanolic extract of B.persica could elevate the testicular testosterone content compared to the normal control group.The treatment with methanolic extract and ethyl acetate fraction of B.persica increased the expression of mRNA corresponding to StAR by 6.7 fold and 10.6 fold,respectively,whereas the mRNA expression of 3β-HSD increased by 5.7 fold and 7.3 fold,respectively.Moreover,fraction and extract treatment exhibited increased 3β-HSD activity in the testicular tissues and were found to elevate sperm concentration in seminal fluid.The spermatogenic potential was further ensured by histological observations.2-benzoxazolinone was isolated from ethyl acetate fraction and identified using spectral studies.It showed the ability to increase the testosterone content in the TM3 Leydig cells.Conclusions:Methanolic extract and ethyl acetate fraction of B.persica are able to increase the testicular testosterone in rats by elevating mRNA expression of StAR and 3β-HSD in testicular tissues,leading to increase the sperm concentration.     

Chances and challenges of machine learning-based disease classification in genetic association studies illustrated on age-related macular degeneration

Imaging technology and machine learning algorithms for disease classification set the stage for high-throughput phenotyping and promising new avenues for genome-wide association studies (GWAS). Despite emerging algorithms, there has been no successful application in GWAS so far. We establish machine learning-based phenotyping in genetic association analysis as misclassification problem. To evaluate chances and challenges, we performed a GWAS based on automatically classified age-related macular degeneration (AMD) in UK Biobank (images from 135,500 eyes; 68,400 persons). We quantified misclassification of automatically derived AMD in internal validation data (4,001 eyes; 2,013 persons) and developed a maximum likelihood approach (MLA) to account for it when estimating genetic association. We demonstrate that our MLA guards against bias and artifacts in simulation studies. By combining a GWAS on automatically derived AMD and our MLA in UK Biobank data, we were able to dissect true association (ARMS2/HTRA1, CFH) from artifacts (near HERC2) and identified eye color as associated with the misclassification. On this example, we provide a proof-of-concept that a GWAS using machine learning-derived disease classification yields relevant results and that misclassification needs to be considered in analysis. These findings generalize to other phenotypes and emphasize the utility of genetic data for understanding misclassification structure of machine learning algorithms.     

X chromosome association testing in genome wide association studies

Genome wide association studies (GWAS) have revealed many fascinating insights into complex diseases even from simple, single-marker statistical tests. Most of these tests are designed for testing of associations between a phenotype and an autosomal genotype and are therefore not applicable to X chromosome data. Testing for association on the X chromosome raises unique challenges that have motivated the development of X-specific statistical tests in the literature. However, to date there has been no study of these methods under a wide range of realistic study designs, allele frequencies and disease models to assess the size and power of each test. To address this, we have performed an extensive simulation study to investigate the effects of the sex ratios in the case and control cohorts, as well as the allele frequencies, on the size and power of eight test statistics under three different disease models that each account for X-inactivation. We show that existing, but under-used, methods that make use of both male and female data are uniformly more powerful than popular methods that make use of only female data. In particular, we show that Clayton's one degree of freedom statistic [Clayton, 2008] is robust and powerful across a wide range of realistic simulation parameters. Our results provide guidance on selecting the most appropriate test statistic to analyse X chromosome data from GWAS and show that much power can be gained by a more careful analysis of X chromosome GWAS data.     

The gene,environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions

Genome‐wide association studies (GWAS) have emerged as powerful means for identifying genetic loci related to complex diseases. However, the role of environment and its potential to interact with key loci has not been adequately addressed in most GWAS. Networks of collaborative studies involving different study populations and multiple phenotypes provide a powerful approach for addressing the challenges in analysis and interpretation shared across studies. The Gene, Environment Association Studies (GENEVA) consortium was initiated to: identify genetic variants related to complex diseases; identify variations in gene‐trait associations related to environmental exposures; and ensure rapid sharing of data through the database of Genotypes and Phenotypes. GENEVA consists of several academic institutions, including a coordinating center, two genotyping centers and 14 independently designed studies of various phenotypes, as well as several Institutes and Centers of the National Institutes of Health led by the National Human Genome Research Institute. Minimum detectable effect sizes include relative risks ranging from 1.24 to 1.57 and proportions of variance explained ranging from 0.0097 to 0.02. Given the large number of research participants (N>80,000), an important feature of GENEVA is harmonization of common variables, which allow analyses of additional traits. Environmental exposure information available from most studies also enables testing of gene‐environment interactions. Facilitated by its sizeable infrastructure for promoting collaboration, GENEVA has established a unified framework for genotyping, data quality control, analysis and interpretation. By maximizing knowledge obtained through collaborative GWAS incorporating environmental exposure information, GENEVA aims to enhance our understanding of disease etiology, potentially identifying opportunities for intervention. Genet. Epidemiol. 34: 364–372, 2010. © 2010 Wiley‐Liss, Inc.     

Using biological knowledge to discover higher order interactions in genetic association studies

The recent successes of genome-wide association studies (GWAS) have revealed that many of the replicated findings have explained only a small fraction of the heritability of common diseases. One hypothesis that investigators have suggested is that higher order interactions between SNPs or SNPs and environmental risk factors may account for some of this missing heritability. Searching for these interactions poses great statistical and computational challenges. In this article, we propose a novel method that addresses these challenges by incorporating external biological knowledge into a fully Bayesian analysis. The method is designed to be scalable for high-dimensional search spaces (where it supports interactions of any order) because priors that use such knowledge focus the search in regions that are more biologically plausible and avoid having to enumerate all possible interactions. We provide several examples based on simulated data demonstrating how external information can enhance power, specificity, and effect estimates in comparison to conventional approaches based on maximum likelihood estimates. We also apply the method to data from a GWAS for breast cancer, revealing a set of interactions enriched for the Gene Ontology terms growth, metabolic process, and biological regulation.     

Accounting for Linkage Disequilibrium in Association Analysis of Diverse Populations

The National Human Genome Research Institute's catalog of published genome‐wide association studies (GWAS) lists over 10,000 genetic variants collectively associated with over 800 human diseases or traits. Most of these GWAS have been conducted in European‐ancestry populations. Findings gleaned from these studies have led to identification of disease‐associated loci and biologic pathways involved in disease etiology. In multiple instances, these genomic findings have led to the development of novel medical therapies or evidence for prescribing a given drug as the appropriate treatment for a given individual beyond phenotypic appearances or socially defined constructs of race or ethnicity. Such findings have implications for populations throughout the globe and GWAS are increasingly being conducted in more diverse populations. A major challenge for investigators seeking to follow up genomic findings between diverse populations is discordant patterns of linkage disequilibrium (LD). We provide an overview of common measures of LD and opportunities for their use in novel methods designed to address challenges associated with following up GWAS conducted in European‐ancestry populations in African‐ancestry populations or, more generally, between populations with discordant LD patterns. We detail the strengths and weaknesses associated with different approaches. We also describe application of these strategies in follow‐up studies of populations with concordant LD patterns (replication) or discordant LD patterns (transferability) as well as fine‐mapping studies. We review application of these methods to a variety of traits and diseases.     

Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS

In spite of the tremendous success of genome-wide association studies (GWAS) in identifying genetic variants associated with complex traits and common diseases, many more are yet to be discovered. Hence, it is always desirable to improve the statistical power of GWAS. Paralleling with the intensive efforts of integrating GWAS with functional annotations or other omic data, we propose leveraging other published GWAS summary data to boost statistical power for a new/focus GWAS; the traits of the published GWAS may or may not be genetically correlated with the target trait of the new GWAS. Building on weighted hypothesis testing with a solid theoretical foundation, we develop a novel and effective method to construct single-nucleotide polymorphism (SNP)-specific weights based on 22 published GWAS data sets with various traits, detecting sometimes dramatically increased numbers of significant SNPs and independent loci as compared to the standard/unweighted analysis. For example, by integrating a schizophrenia GWAS summary data set with 19 other GWAS summary data sets of nonschizophrenia traits, our new method identified 1,585 genome-wide significant SNPs mapping to 15 linkage disequilibrium-independent loci, largely exceeding 818 significant SNPs in 13 independent loci identified by the standard/unweighted analysis; furthermore, using a later and larger schizophrenia GWAS summary data set as the validation data, 1,423 (out of 1,585) significant SNPs identified by the weighted analysis, compared to 705 (out of 818) by the unweighted analysis, were confirmed, while all 15 and 13 independent loci were also confirmed. Similar conclusions were reached with lipids and Alzheimer's disease (AD) traits. We conclude that the proposed approach is simple and cost-effective to improve GWAS power.     

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Genetic interactions have been recognized as a potentially important contributor to the heritability of complex diseases. Nevertheless, due to small effect sizes and stringent multiple-testing correction, identifying genetic interactions in complex diseases is particularly challenging. To address the above challenges, many genomic research initiatives collaborate to form large-scale consortia and develop open access to enable sharing of genome-wide association study (GWAS) data. Despite the perceived benefits of data sharing from large consortia, a number of practical issues have arisen, such as privacy concerns on individual genomic information and heterogeneous data sources from distributed GWAS databases. In the context of large consortia, we demonstrate that the heterogeneously appearing marginal effects over distributed GWAS databases can offer new insights into genetic interactions for which conventional methods have had limited success. In this paper, we develop a novel two-stage testing procedure, named phylogenY-based effect-size tests for interactions using first 2 moments (YETI2), to detect genetic interactions through both pooled marginal effects, in terms of averaging site-specific marginal effects, and heterogeneity in marginal effects across sites, using a meta-analytic framework. YETI2 can not only be applied to large consortia without shared personal information but also can be used to leverage underlying heterogeneity in marginal effects to prioritize potential genetic interactions. We investigate the performance of YETI2 through simulation studies and apply YETI2 to bladder cancer data from dbGaP.     

Joint testing of genotype and ancestry association in admixed families

Current genome-wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a non-admixed population. As an alternative, these data can be used to infer chromosomal ancestry, and thus allow for admixture mapping. We quantify the contribution of allele-based and ancestry-based association testing under a family-design, and demonstrate that the two tests can provide non-redundant information. We propose a joint testing procedure, which efficiently integrates the two sources information. The efficiencies of the allele, ancestry and combined tests are compared in the context of a GWAS. We discuss the impact of population history and provide guidelines for future design and analysis of GWAS in admixed populations.     

全基因组关联研究文献特征分析

目的 分析全基因组关联研究(GWAS)英文文献的数据构成特征.方法 对国际最新GWAS研究数据库之一—美国国立人类基因组研究所(National Human Genome Research Institute,NHGRI)数据库进行数据挖掘.结果 2005年开始出现GWAS文献,2005 - 2010年GWAS英文文献分别为2、8、89、151、229和314篇,预计2011年将超出400篇.结论 自2005年开始GWAS英文文献逐年增加,且显示出强劲的发展趋势.     

A Robust Method for Genome‐Wide Association Meta‐Analysis With the Application to Circulating Insulin‐Like Growth Factor I Concentrations

Genome‐wide association studies (GWAS) offer an excellent opportunity to identify the genetic variants underlying complex human diseases. Successful utilization of this approach requires a large sample size to identify single nucleotide polymorphisms (SNPs) with subtle effects. Meta‐analysis is a cost‐efficient means to achieve large sample size by combining data from multiple independent GWAS; however, results from studies performed on different populations can be variable due to various reasons, including varied linkage equilibrium structures as well as gene‐gene and gene‐environment interactions. Nevertheless, one should expect effects of the SNP are more similar between similar populations than those between populations with quite different genetic and environmental backgrounds. Prior information on populations of GWAS is often not considered in current meta‐analysis methods, rendering such analyses less optimal for the detecting association. This article describes a test that improves meta‐analysis to incorporate variable heterogeneity among populations. The proposed method is remarkably simple in computation and hence can be performed in a rapid fashion in the setting of GWAS. Simulation results demonstrate the validity and higher power of the proposed method over conventional methods in the presence of heterogeneity. As a demonstration, we applied the test to real GWAS data to identify SNPs associated with circulating insulin‐like growth factor I concentrations.