GALA II

哮喘和肥胖是主要的公共卫生问题，对低收入和少数族裔儿童的影响尤为严重。流行病学研究一直表明哮喘和肥胖之间存在联系。在所有美国人口中，波多黎各人的哮喘患病率最高，墨西哥裔美国人最低。两国人口的肥胖率都很高。肥胖哮喘可能是一种独特的哮喘表型，具有更困难的临床过程和对哮喘控制治疗的改变反应。肥胖和哮喘的独立风险因素对低收入和少数民族儿童的影响不成比例。共同的早期生活暴露是已知的风险因素。共同的遗传风险因素也很重要，双胞胎研究表明，8%的肥胖遗传因素与哮喘相同。对低收入少数民族儿童的全面研究将有助于揭示遗传学，社会人口统计学和早期生活事件对该人群哮喘和肥胖共同发生的贡献。拉丁美洲人是梳理与肥胖和哮喘相关的遗传、社会和环境风险因素的理想人群。拉美裔是美国最大的少数族裔，也是美国儿童中人数最多的群体。在个体和群体水平上，拉丁美洲人的遗传血统存在相当大的差异，这可以用来解开哮喘和肥胖易感性之间的复杂关联。我们在美国对哮喘和肥胖进行了最大的混合测绘扫描。我们确定了三个与哮喘和肥胖相关的混合测绘峰，这表明在这些地区存在多效性风险变异，导致哮喘和肥胖

Asthma and obesity are leading public health concerns that disproportionately affect low-income and minority children. Epidemiologic studies have consistently shown an association between asthma and obesity. Among all US populations, asthma prevalence is highest in Puerto Ricans and lowest in Mexican Americans. Obesity is high in both populations. Obese asthma may be a unique phenotype of asthma, with a more difficult clinical course and altered response to asthma controller therapy. Independent risk factors for both obesity and asthma disproportionately impact low income and minority children. Shared early-life exposures are known risk factors. Shared genetic risk factors are also important Twin studies indicated that 8% of the genetic component of obesity is shared with asthma. A comprehensive study of low income minority children will help to uncover the contributions of genetics, socio-demographic, and early-life events to the co-occurrence of asthma and obesity in this population. Latinos are an ideal population to tease apart the genetic, social and environmental risk factors associated with obesity and asthma. Latinos are the largest minority population in the United States and the largest demographic group among all U.S. children. Latinos are admixed with considerable variation in genetic ancestry, both at the individual and group levels, and this can be leveraged to untangle complex associations between asthma and obesity susceptibility. We performed the largest admixture mapping scan of asthma and obesity in the U.S. We identified three admixture mapping peaks that were associated with both asthma and obesity, suggesting there are pleiotropic risk variants in these regions that contribute to both asthma and obesity in Latino populations. The goal of this roposal is to identify novel genetic variants associated with both asthma and obesity by deep resequencing of candidate regions identified through admixture mapping. We will also test for correlations between the genetic variation and levels of gene expression to identify putative expression quantitative trait loci (eQTLs) that are associated with each condition. Finally, we will test identified eQTLs in several independent populations from the NHLBI sponsored EVE asthma consortium.