Looking to the future: incorporating genomic information into disparities research to reduce measurement error and selection bias.
Looking to the future: incorporating genomic information into disparities research to reduce measurement error and selection bias.
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展望未来：将基因组信息纳入差异研究，以减少测量误差和选择偏差。
DOI：
10.1111/j.1475-6773.2012.01413.x
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发表时间：
2012
影响因子：
3.4
通讯作者：
Crown,WilliamH
中科院分区：
文献类型：
--
作者：
Shields,AlexandraE;Crown,WilliamH
Objectives extend recent conceptual and methodological advances in disparities research to include the incorporation of genomic information in the analyses of racial/ethnic disparities in health care and health outcomes.Data SourcesPublished literature on human genetic variation，the role of genetics in disease and response to treatment，研究设计我们提出了一个概念框架，将基因组信息纳入差异研究，医学研究所对医疗保健中种族/民族差异的定义，确定可以通过基因组学研究了解的差异研究中使用的关键概念，并以HER-2突变指导乳腺癌护理为例说明将基因组信息纳入当前方法。尽管它与种族/族裔、健康状况、适当护理和社会经济地位等概念直接相关。HER-2的例子展示了如何将可用的遗传信息纳入当前的差异方法，以减少选择偏差和测量误差。健康信息基础设施的进步可能很快使标准化的遗传信息更容易获得卫生服务researchers.ConclusionGenomic信息可以完善测量的种族/民族差异的医疗保健和健康结果，并应尽可能包括在差异研究。
ObjectiveTo extend recent conceptual and methodological advances in disparities research to include the incorporation of genomic information in analyses of racial/ethnic disparities in health care and health outcomes.Data SourcesPublished literature on human genetic variation, the role of genetics in disease and response to treatment, and methodological developments in disparities research.Study DesignWe present a conceptual framework for incorporating genomic information into the Institute of Medicine definition of racial/ethnic disparities in health care, identify key concepts used in disparities research that can be informed by genomics research, and illustrate the incorporation of genomic information into current methods using the example of HER‐2 mutations guiding care for breast cancer.Principal FindingsGenomic information has not yet been incorporated into disparities research, though it has direct relevance to concepts of race/ethnicity, health status, appropriate care, and socioeconomic status. The HER‐2 example demonstrates how available genetic information can be incorporated into current disparities methods to reduce selection bias and measurement error. Advances in health information infrastructure may soon make standardized genetic information more available to health services researchers.ConclusionGenomic information can refine measurement of racial/ethnic disparities in health care and health outcomes and should be included wherever possible in disparities research.
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DOI：
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DOI：
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