基因分型一项新的全国家庭小组研究:为nsf主办的会议准备的白皮书,2014年5月

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2015-01-01 DOI:10.3233/JEM-150393
D. Conley
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引用次数: 4

摘要

在本文中,我证明了现有的包括基因型标记的社会调查都在以下至少一个维度上受到限制:国家代表性(相对于目标样本)、基因分型平台(候选基因与全基因组测量)、数据结构(即个体与谱系)或测量的表型(缺乏丰富的纵向社会经济和发展测量)。鉴于此,我认为美国要么需要一个新颖的,具有全国代表性的家庭小组研究,包括全基因组标记数据,要么对现有的收入动态小组研究的所有受访者进行基因型分析。我的结论是,这样的研究将有足够的动力来部署遗传风险评分分析,反过来,这样的评分可以部署到模型基因-环境相互作用的影响。
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Genotyping a new, national household panel study: White paper prepared for NSF-sponsored Conference, May 2014
In this paper, I demonstrate that existing social surveys that include genotypic markers are all limited on at least one of the following dimensions: national representativeness (versus targeted sample), genotyping platform (candidate genes v. genome-wide measures), data structure (i.e. individuals v. pedigrees), or measured phenotypes (lack of rich longitudinal socioeconomic and developmental measures). Given this, I argue that the U.S. either needs a novel, nationally representative household panel study that includes genome-wide marker data or to genotype all respondents of the existing Panel Study of Income Dynamics. I conclude by showing that such a study would be adequately powered to deploy Genetic Risk Score analysis and that, in turn, such scores could be deployed to model gene-environment interaction effects.
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来源期刊
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
期刊介绍: The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
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