GENE-ENVIRONMENT INFLUENCES ON SES/HEALTH OUTCOMES(RMI)

基因环境对 SES/健康结果 (RMI) 的影响

• 批准号: 6953035
• 负责人: GEORGE P VOGLER
• 金额: $ 10.8万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-27 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6953035
• 关键词: aging; analytical method; behavioral /social science; behavioral /social science research tag; clinical research; epidemiology; family genetics; gene environment interaction; gene expression; genetic models; genetic polymorphism; genetic susceptibility; genetics; health; health disparity; human morbidity; human mortality; human population study; interdisciplinary collaboration; life cycle; mathematical model; method development; socioeconomics; statistics /biometry; workshop

DESCRIPTION (provided by applicant): Rapid advances in the type and quality of genetic information has dramatically improved our ability to consider the effects of specific genes on complex traits related to health outcomes in aging. Genomic information about genetic polymorphisms and our ability to quantify massive amounts of information regarding gene expression requires new methodologies but provides new opportunities to understand the complex factors that contribute to familial resemblance. Less attention has been paid to incorporating environmental factors into models of familial influences even though a substantial amount of individual variability is viewed as the result of environmental variation. The development of comprehensive models that effectively incorporate extensive measurable information on both genetic and environmental risk factors has the potential to-give us the tools to more effectively understand the processes that influence health outcomes in aging and to develop interventions that address complexities such as gene-by-environment interaction that, until now, have been largely beyond our reach. One of the few environmental factors that has been clearly connected to age-related morbidities and mortality is socioeconomic status (SES), and researchers have offered some compelling theories as to how these relationships arise. Better assessments of SES that are informed by lifespan and contextual perspectives are needed to be able to incorporate this multi-dimensional environmental factor into models that include genetic influences. The purpose of this project is to convene a network of experts including geneticists, behavioral scientists representing psychology and sociology, social methodologists and statisticians to consider measurement issues and to develop analytic methods that allow us to incorporate aspects of the measured environment into models that also include genetic information. The network will employ a mix of workshop-type meetings, regular informal meetings, and web-based communication tools. The goal of the network is to identify/formulate intellectual and analytical tools to understand the complex effects and interactions that contribute to morbidity and mortality in aging. These tools will be useful in understanding individual variability and in determining the origin of health disparities among groups.

描述（由申请人提供）： 遗传信息的类型和质量的快速进步已经显着提高了我们考虑特定基因对与衰老中健康结果相关的复杂性状的影响的能力。有关遗传多态性的基因组信息以及我们量化有关基因表达的大量信息的能力，需要新的方法，但提供了新的机会来了解有助于家庭相似之处的复杂因素。即使将大量的个体可变性视为环境变化的结果，即使将环境因素纳入家族影响模型的模型也减少了关注。综合模型的开发有效地纳入了有关遗传和环境风险因素的广泛可测量信息，这可能使我们有潜力地使用工具，以更有效地了解影响衰老中健康状况的过程，并开发出解决诸如基因环境互动之类的复杂性的干预措施，直到现在为止，直到现在，直到现在，我们已经超出了我们的范围。与年龄相关的病态和死亡率明显相关的少数环境因素之一是社会经济地位（SES），研究人员为这些关系如何出现提供了一些令人信服的理论。需要更好地评估通过寿命和上下文观点告知的SES，以便能够将这种多维环境因素纳入包括遗传影响的模型中。 该项目的目的是召集一个专家网络，包括遗传学家，代表心理学和社会学，社会方法论家和统计学家的行为科学家，以考虑测量问题，并开发分析方法，使我们能够将测量环境的各个方面纳入也包括遗传信息。该网络将采用车间类型会议，定期非正式会议和基于Web的通信工具的混合。网络的目的是识别/制定智力和分析工具，以了解有助于衰老的发病率和死亡率的复杂效果和相互作用。这些工具将有助于理解个人变异性和确定群体之间健康差异的起源。