Genetic Modulation on the Relationship of Low Birth Weight to Metabolic Syndrome
Genetic Modulation on the Relationship of Low Birth Weight to Metabolic Syndrome
批准号:
8063469
负责人:
WEI CHEN
金额:
$7.15万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-04-16 至 2012-03-31
关键词:
AdultAfrican AmericanBirthBirth CertificatesBirth WeightBlood GlucoseBlood PressureCandidate Disease GeneCardiovascular DiseasesChildhoodCholesterolCohort StudiesCommunitiesComplexCross-Sectional StudiesDataFetal Growth RetardationGenesGeneticGenotypeGrowthHaplotypesHeartHeart DiseasesHypertensionIndividualInsulin ResistanceLeadLipoproteinsLongitudinal StudiesLow Birth Weight InfantMeasurementMeasuresMetabolic syndromeModelingNatural HistoryNatureNon-Insulin-Dependent Diabetes MellitusObesityPhenotypePrenatal careResearchRisk FactorsSingle Nucleotide PolymorphismStatistical MethodsTestingTimebasecardiovascular risk factorcohortdiabetes riskfetalgene interactiongenetic analysisgenetic associationimprovedlongitudinal databasepreventpublic health relevancetrend
中文摘要
描述(由申请人提供):低出生体重是宫内生长受限的指标,已被证明与成人心血管(C-V)疾病、2型糖尿病和代谢综合征组分(包括体脂、胰岛素抵抗指标、血压和脂蛋白)相关。低出生体重与代谢综合征的多个组成部分的相互关系作为一个复杂的实体和潜在的遗传因素,可以进一步阐明使用先进的复杂的统计方法,如路径分析。拟议研究的具体目的是:1)通过使用路径分析模型,在黑人与白色个体中按生长期纵向和横截面检查低出生体重对代谢综合征组分的影响; 2)研究相关候选基因对低出生体重与从儿童期到成年期代谢综合征组分纵向趋势之间关系的修饰作用。将使用博加卢萨心脏研究中现有的表型和候选基因基因型数据对这些特定目标进行检查,该研究是一项自1973年开始的以社区为基础的长期双胞胎(65%白色,35%黑人)C-V疾病自然史研究。按生长期进行横断面分析的研究队列I包括6,051名具有国家出生证明信息和代谢综合征成分的个体;用于纵向分析的队列II由2,775名个体组成,这些个体具有1973-2008年期间在儿童期和成年期至少测量2次的出生体重和代谢综合征组分的系列测量数据,其中16人,276次观察;用于遗传分析的队列III(n= 1,447,990名白人,457名黑人)是具有可用候选基因基因型数据的队列II的子集。将分析与出生体重和代谢综合征相关的21个候选基因中的单核苷酸多态性(SNPs,n=618),作为个体SNPs、单倍型和基因-基因相互作用。路径分析将进行横断面和纵向检查单倍型组的代谢综合征组分的出生体重的关系。候选基因的调节作用将在单倍型组之间的路径分析参数的显著差异方面进行测试。在拟议的研究中确定的遗传位点将为进一步研究多基因的多效性效应和加性效应提供基础,并在出生体重低和代谢综合征变量极端值的受试者中对重要候选基因进行更密集的测序。这对改善产前护理和制定早期预防成人C-V疾病的策略具有重要意义。
公共卫生相关性:低出生体重是婴儿出生前生长受限的指标,并与成人心脏病、糖尿病以及肥胖、高血压、高胆固醇和高血糖等危险因素有关。这项研究的发现对于改善产前护理和制定早期预防成人肥胖的策略具有重要意义。
心脏病
英文摘要
DESCRIPTION (provided by applicant): Low birth weight, an indicator of intrauterine growth restriction, has been demonstrated to be associated with adult cardiovascular (C-V) disease, type 2 diabetes and metabolic syndrome components, including body fatness, insulin resistance measures, blood pressure, and lipoproteins. The interrelationship of low birth weight to multiple components of the metabolic syndrome as a complex entity and the underlying genetic factors can be elucidated further using an advanced sophisticated statistical method like path analysis. The Specific Aims of the proposed research are 1) to examine the impact of low birth weight on metabolic syndrome components by using a path analysis model, longitudinally and cross-sectionally by growth periods, in black versus white individuals, and 2) to investigate the modifying effects of relevant candidate genes on the relationship of low birth weight to longitudinal trends of metabolic syndrome components from childhood to adulthood. These specific aims will be examined using existing phenotypes and candidate gene genotype data available in the Bogalusa Heart Study, a long-term biracial (65% white, 35% black) community-based study of the Natural History of C-V Disease beginning in childhood, since 1973. Study Cohort I for cross-sectional analyses by growth periods consists of 6,051 individuals who have State birth certificate information and metabolic syndrome components; Cohort II for longitudinal analyses consists of 2,775 individuals who have data on birth weight and serial measurements of metabolic syndrome components measured at least 2 times each in childhood and in adulthood during 1973-2008, with 16,276 observations; Cohort III (n=1,447, 990 whites, 457 blacks) for genetic analyses is a subset of Cohort II with candidate gene genotype data available. Single nucleotide polymorphisms (SNPs, n=618) in 21 candidate genes related to both birth weight and metabolic syndrome will be analyzed as individual SNPs, haplotypes and gene-gene interactions. Path analyses will be performed cross-sectionally and longitudinally to examine the relationship of birth weight to the metabolic syndrome components by haplotype groups. The modulating effect of the candidate genes will be tested in terms of significant differences in the path analysis parameters between haplotype groups. The genetic loci identified in the proposed research will provide a basis for further research on the pleiotropic effects and additive effects of multigenes, and more dense sequencing in significant candidate genes in subjects who have a low birth weight and extremes values of the metabolic syndrome variables. This has important implications for improving prenatal care and developing strategies beginning early to prevent adult C-V disease.
PUBLIC HEALTH RELEVANCE: Low birth weight is an indicator of baby growth restriction before birth, and associated with adult heart disease, diabetes and risk factors such as obesity, high blood pressure, high cholesterol and high blood sugar. The findings from this research has important implications for improving prenatal care and developing strategies beginning early to prevent adult
heart disease.
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