Family-specific genetic variants contributing to asthma susceptibility
Family-specific genetic variants contributing to asthma susceptibility
批准号:
8417850
负责人:
Andrew DeWan
金额:
$82.87万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-15 至 2017-12-31
关键词:
AccountingAffectAsthmaBiologyBloodChildChildhoodChronic DiseaseCodeDNADataDatabasesDevelopmentDiseaseDisease modelEnvironmental EpidemiologyEnvironmental ExposureEtiologyFamilyFamily StudyFamily memberFrequenciesGene CombinationsGenesGeneticGenomeGoalsHeritabilityIndividualInterviewLeadLiteratureMethodsModelingMutationNatureNuclear FamilyOpen Reading FramesParentsPathway interactionsPatientsPerinatalPhenotypePopulationPostdoctoral FellowPredispositionProteinsRecruitment ActivityRegulatory PathwayRelative (related person)Research PersonnelRiskSamplingSequence AnalysisSeveritiesSymptomsTestingUpdateVariantbaseeosinophilexomeexome sequencinggenetic variantgenome wide association studyimprovedmemberprobandpublic health relevancetransmission process
中文摘要
描述(由研究者提供):哮喘是儿童时期最常见的慢性疾病,人们普遍认为哮喘易感性与遗传因素有关。依靠疾病“常见病、常见变异”模型的全基因组关联研究已经确定了与哮喘或相关表型显著相关的超过15个基因的常见变异。虽然这些发现中的大多数已被重复,但这些变异中的任何一种所带来的风险都很低(典型OR < 1.7)。因此,有很大一部分遗传成分归因于哮喘的发展和严重程度,但尚未得到解释,称为“缺失遗传性”。这种缺失的遗传性问题并不是哮喘所特有的,而且已经被认为是大多数常见疾病的原因。有人提出,罕见变异在常见疾病中可能是一个重要的,但尚未被探索的角色,实际上可能解释一些尚未产生致病变异的强烈关联。在这里,我们假设一个模型,即个体家庭分离“家族特异性”突变有助于哮喘易感性。大多数罕见的孟德尔疾病只需要一个致病突变,与之相反,我们假设至少有一个家族特异性突变是必要的,但不足以在家庭中个体的疾病发展。只有当这些私人突变发生在常见哮喘易感性变异的背景下,疾病才会发展。该应用程序利用基于家族的全外显子组测序策略来识别与哮喘分离的家族特异性变异,并研究所有已知哮喘基因中功能变异的分布。我们将利用围产期、儿科和环境流行病学中心进行的几项研究的家庭基础性质,从其中一项原始研究中收集的哮喘表型信息的儿童中选择哮喘先证。我们建议重新联系至少两名哮喘儿童和一名非哮喘儿童的哮喘家庭,采集血液DNA,更新父母和儿童的哮喘表型信息,并进行基于家庭的全外显子组测序分析。我们将使用全外显子组测序在一半的家庭鉴定家族特异性突变
英文摘要
DESCRIPTION (provided by investigator): Asthma is the most common chronic illness in childhood and it is widely recognized that there is a major genetic component to asthma susceptibility. Genome-wide association studies, relying on the "common disease, common variant" model of disease, have identified common variants in more than 15 genes significantly associated with asthma or related phenotypes. While the majority of these findings have been replicated, the risk conferred by any one of these variants is low (typical OR < 1.7). Thus, there is a significant portion of the genetic component attributed to asthma development and severity that has not been accounted for, termed "missing heritability." This missing heritability problem is not unique to asthma and has been recognized for the majority of common diseases. It has been proposed that rare variants may be an important, yet unexplored, player in common diseases and may in fact explain some of the strong associations that have not yet yielded causative variants. Here, we hypothesize a model whereby individual families are segregating "family-specific" mutations contributing to asthma susceptibility. In contrast to the majority of rare Mendelian disorders where only one causative mutation is required for disease, we hypothesize that at least one family- specific mutation is necessary, but not sufficient for diseas development within individuals in the family. It is only when these private mutations occur in the context of common asthma susceptibility variants that the disease will develop. This application utilizes a family-based whole-exome sequencing strategy to identify family-specific variants segregating with asthma and study the distribution of functional variants across all known asthma genes. We will take advantage of the family-based nature of several studies conducted at the Center for Perinatal, Pediatric and Environmental Epidemiology by selecting asthmatic probands from the children that had asthma phenotype information collected in one of the original studies. We propose to re-contact asthma families with at least two asthmatic children and one non-asthmatic child to collect blood for DNA, update the asthma phenotype information in the parents and children, and conduct family-based whole-exome sequencing analyses. We will identify family-specific mutations using whole-exome sequencing of half of the families in the
study and then perform a family-based association analysis to identify genes containing multiple family-specific variants associated with asthma. We will then sequence the genes identified in this discovery exome sequencing data in the other half of the asthma families to validate these findings. Finally, we will look across the frequency spectrum of variants in our whole-exome data to determine if asthma patients have more functional variants in known asthma genes than their non-asthmatic relatives.
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会议论文
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海外基金