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本文引用的文献

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Characteristics of users of online personalized genomic risk assessments: implications for physician-patient interactions.在线个性化基因组风险评估用户的特征:对医患互动的影响。
Genet Med. 2009 Aug;11(8):582-7. doi: 10.1097/GIM.0b013e3181b22c3a.
2
The genomic applications in practice and prevention network.基因组学在实践与预防方面的应用网络。
Genet Med. 2009 Jul;11(7):488-94. doi: 10.1097/GIM.0b013e3181a551cc.
3
Genome-wide association studies in pharmacogenomics: untapped potential for translation.药物基因组学中的全基因组关联研究:转化的未开发潜力。
Genome Med. 2009 Apr 28;1(4):46. doi: 10.1186/gm46.
4
Using the internet for health-related activities: findings from a national probability sample.利用互联网开展与健康相关的活动:来自全国概率样本的调查结果
J Med Internet Res. 2009 Feb 20;11(1):e4. doi: 10.2196/jmir.1035.
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Personal genomics services: whose genomes?个人基因组学服务:谁的基因组?
Eur J Hum Genet. 2009 Jul;17(7):883-9. doi: 10.1038/ejhg.2008.254. Epub 2009 Mar 4.
6
Polygenes, risk prediction, and targeted prevention of breast cancer.多基因、风险预测与乳腺癌的靶向预防
N Engl J Med. 2008 Jun 26;358(26):2796-803. doi: 10.1056/NEJMsa0708739.
7
Keeping pace with the times--the Genetic Information Nondiscrimination Act of 2008.与时俱进——2008年《遗传信息非歧视法案》
N Engl J Med. 2008 Jun 19;358(25):2661-3. doi: 10.1056/NEJMp0803964.
8
Strategies and stakeholders: minority recruitment in cancer genetics research.策略与利益相关者:癌症遗传学研究中的少数群体招募
Community Genet. 2008;11(4):241-9. doi: 10.1159/000116878. Epub 2008 Apr 14.
9
Public health. A case study of personalized medicine.公共卫生。个性化医疗的一个案例研究。
Science. 2008 Apr 4;320(5872):53-4. doi: 10.1126/science.1156604.
10
The genome gets personal--almost.基因组几乎变得个性化了。
JAMA. 2008 Mar 19;299(11):1351-2. doi: 10.1001/jama.299.11.1351.

参与基因检测研究的情况因社会群体而异。

Participation in genetic testing research varies by social group.

作者信息

Hensley Alford Sharon, McBride Colleen M, Reid Robert J, Larson Eric B, Baxevanis Andreas D, Brody Lawrence C

机构信息

Henry Ford Hospital, Detroit, MI 48208, USA.

出版信息

Public Health Genomics. 2011;14(2):85-93. doi: 10.1159/000294277. Epub 2010 Mar 18.

DOI:10.1159/000294277
PMID:20299772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3214933/
Abstract

BACKGROUND

Advances in technology have made individual access to personal genetic information foreseeable in the near future. Policy makers and the media forecast that the ready availability of personal genetic profiles would benefit both the individual and the health care system by improving outcomes and decreasing cost. However, there is a significant gap between having access to genetic data and either wanting or understanding the information it provides.

OBJECTIVE

Our primary aim was to evaluate, using a population-based sample of healthy adults, whether gender, race and education status influences interest and participation in a multiplex genetic susceptibility test.

METHODS

Healthy, insured individuals, 25-40 years of age, were approached via a large, integrated health system in which primary and specialty care is available. Study participants were offered personalized genetic risk information on 8 common chronic health conditions. Social groups historically known not to participate in genetic research (men, African Americans and those from lower education neighborhoods) were oversampled. We describe the recruitment outcomes and testing decisions of these social groups.

RESULTS

We found that even among those with access to health care, African Americans were less likely to participate in the multiplex genetic susceptibility test, while those from higher education neighborhoods were more likely to participate.

CONCLUSIONS

Our results suggest that large social groups will likely be underrepresented in research in personalized genomics even when robust population-based recruitment strategies are employed.

摘要

背景

技术进步使个人在不久的将来能够获取个人基因信息成为可预见的事。政策制定者和媒体预测,个人基因图谱的 readily availability 将通过改善结果和降低成本使个人和医疗保健系统都受益。然而,获取基因数据与想要或理解其提供的信息之间存在显著差距。

目的

我们的主要目的是使用基于人群的健康成年人样本,评估性别、种族和教育状况是否会影响对多重基因易感性测试的兴趣和参与度。

方法

通过一个提供初级和专科护理的大型综合卫生系统,接触年龄在 25 - 40 岁之间、有保险的健康个体。研究参与者获得了关于 8 种常见慢性健康状况的个性化基因风险信息。历史上已知不参与基因研究的社会群体(男性、非裔美国人以及来自低教育社区的人)被过度抽样。我们描述了这些社会群体的招募结果和测试决定。

结果

我们发现,即使在那些能够获得医疗保健的人群中,非裔美国人参与多重基因易感性测试的可能性较小,而来自高教育社区的人参与的可能性较大。

结论

我们的结果表明,即使采用强大的基于人群的招募策略,大型社会群体在个性化基因组学研究中的代表性可能仍然不足。