The Utah Study of Fertility, Longevity and Aging

犹他州的生育力、寿命和衰老研究

• 批准号: 7277715
• 负责人: Ken R Smith
• 金额: $ 73.49万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-16 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7277715
• 关键词: Address; Adopted; Affect; Age; Age of Onset; Aging; Alleles; Blood; Cessation of life; Characteristics; Chronic Disease; Clinical; Cognitive; Condition; Data; Depth; Diabetes Mellitus; Disease; Environmental Exposure; Extended Family; Family; Family member; Female; Fertility; Fertility Study; Genes; Genetic; Genome; Genotype; Haplotypes; Health Status; Heart Diseases; Human; Individual; Interview; Length; Life; Life Cycle Stages; Link; Longevity; Malignant Neoplasms; Measurable; Measures; Medical; Medical Research; Medicare; Modeling; Molecular; Morbidity - disease rate; Outcome; Parents; Pattern; Phenotype; Physiological; Population; Population Database; Rate; Records; Recruitment Activity; Relative (related person); Research Personnel; Resistance; Resources; Risk; Sampling; Sampling Studies; Single Nucleotide Polymorphism; Stroke; Surveys; Tandem Repeat Sequences; Testing; Utah; Variant; age related; aged; aging gene; base; density; disability; environmental stressor; genetic association; genetic linkage; genetic pedigree; genetic variant; improved; interdisciplinary approach; interest; life history; member; mitochondrial DNA mutation; mortality; neoplasm registry; programs; psychologic; reproductive; reproductive longevity; response; senescence; social; telomere; trait

DESCRIPTION (provided by investigator): Humans vary widely in their age at death and health status over their life course. In addition, individuals appear to age at different rates. We consider the general hypothesis that a constellation of factors, both genetic and environmental in origin, affect the rate at which people age and their longevity. To test this hypothesis, we propose to measure biodemographic features of aging: exceptional longevity, slow reproductive senescence and their co-aggregation in extended families. Our data are obtained from a vast store of information on pedigrees from a large defined population. These data will help to identify families of interest on whom to measure epidemiologic, social, cognitive, physiological and molecular traits believed to be related to aging and longevity. We will examine associations among these characteristics in these families to better define an aging phenotype associated with exceptional longevity. We will genotype exceptionally long-lived individuals from these families, their offspring, and their nieces/nephews in an attempt to discover genes associated with a delayed aging phenotype. We adopt an interdisciplinary approach and use a large population setting to better understand the genetic and environmental bases for phenotypic variation in aging leading to exceptional longevity. We have four specific aims: (1) to combine excess longevity and reproductive senescence to model a familial Delayed Aging Phenotype; (2) to test the association between the familial Delayed Aging Phenotype and resistance to age-related chronic diseases and environmental stressors; (3) to conduct genetic linkage studies to identify linked markers and haplotypes associated with exceptional longevity; and (4) to assess whether offspring of long-lived parents have favorable measures of phenotypic traits that suggest an intermediate phenotype for slow aging. We will use the Utah Population Database that contains medical and demographic records on six million individuals merged into multi-generational families. Aims associated with morbidity outcomes will be based on existing Utah Cancer Registry records and new links to Medicare records. This study will help to determine whether there are genetic variants associated with familial longevity and how such genes affect the risk of important traits and diseases associated with aging.

描述（调查员提供）：人类在死亡和健康状况的年龄上差异很大。此外，个人似乎以不同的速度衰老。我们考虑了一个普遍的假设，即，遗传和环境的因素的存在，都会影响人们年龄及其寿命的速度。为了检验这一假设，我们建议衡量衰老的生物人口统计学特征：特殊的寿命，缓慢的生殖衰老及其在大家庭中的共聚集。我们的数据是从大量定义人群的大量有关血统的信息中获得的。这些数据将有助于确定感兴趣的家庭，以衡量与衰老和寿命有关的流行病学，社会，认知，生理和分子特征。我们将研究这些家族这些特征之间的关联，以更好地定义与特殊寿命相关的衰老表型。我们将来自这些家庭，后代及其侄女/侄子的基因型异常长寿的个体，以发现与延迟衰老表型相关的基因。我们采用跨学科的方法，并使用较大的人口设置来更好地了解衰老导致特殊寿命的表型变异的遗传和环境基础。我们有四个特定的目标：（1）结合过量的寿命和生殖衰老以建模家族性延迟衰老表型； （2）测试家族延迟的衰老表型与与年龄相关的慢性疾病和环境压力源的抗性之间的关联； （3）进行遗传连锁研究以识别与特殊寿命相关的关联标记和单倍型； （4）评估长寿父母的后代是否具有表型性状的有利度量，这表明缓慢衰老的中间表型。我们将使用犹他州人口数据库，其中包含600万个人合并为多代家庭的医学和人口记录。与发病率结果相关的目的将基于现有的犹他州癌症注册表记录和与Medicare记录的新链接。这项研究将有助于确定是否存在与家族寿命相关的遗传变异，以及此类基因如何影响与衰老相关的重要特征和疾病的风险。