首页> 外文期刊>The Lancet >Genome wide open.
【24h】

Genome wide open.

机译:基因组大开。

获取原文
获取原文并翻译 | 示例
           

摘要

Doctors must offer the best evidence-based care to their patients, but also face an obligation to look to the future as knowledge evolves. For this reason, today's Lancet presents a study by J Brent Richards and colleagues reporting genetic associations in osteoporosis, by means of parallel genotyping of many thousands of single-nucleotide polymorphisms in several cohorts of white Europeans. The associations will not change doctors' practice immediately, but over time can be expected to; lead to improved understanding of mechanisms involved in osteoporosis-osteoporotic fractures are estimated to affect up to 50% of women and 22% of men, and will increase in prevalence and cause greater disability as populations age. The Lancet's editors intend to continue to publish articles documenting important genetic associations, with priority given to reports on diseases which make a major contribution to morbidity and mortality. Associations of interest are likely to be mechanistically plausible, with the potential to contribute substantially to progress in clinical diagnosis or treatment. Mindful of the danger of false positives in genetic associations, preference will be given to datasets of substantial size yielding statistically compelling results, where replication has been done in independent cohorts. It is expected that investigators will make published datasets freely available to facilitate further research.
机译:医生必须为患者提供最佳的循证护理,但也有义务随着知识的发展展望未来。因此,今天的《柳叶刀》杂志介绍了J Brent Richards及其同事进行的一项研究,该研究报告了通过对几个欧洲白人队列中成千上万个单核苷酸多态性进行平行基因分型的方法,对骨质疏松症进行了遗传关联。协会不会立即改变医生的执业方式,但是随着时间的推移,可以预期的是;导致人们更好地了解骨质疏松症-骨质疏松性骨折所涉及的机制,据估计影响多达50%的女性和22%的男性,并且随着人群的年龄增长,患病率会增加并导致更大的残疾。 《柳叶刀》的编辑打算继续发表记录重要遗传关联的文章,并优先关注对发病率和死亡率做出重大贡献的疾病的报道。感兴趣的协会在机制上可能是合理的,并且有可能对临床诊断或治疗的进展做出重大贡献。考虑到遗传关联中假阳性的危险,将优先考虑具有可观统计结果的大量数据集,其中复制已在独立队列中完成。预计研究人员将免费提供已发布的数据集,以促进进一步的研究。

著录项

  • 来源
    《The Lancet》 |2008年第9623期|共1页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号