基因组学
基因组医学
基因组信息
个性化医疗
基因组测序
精密医学
疾病
医疗保健
计算生物学
医学
生物信息学
计算机科学
数据科学
生物
基因组
遗传学
病理
基因
经济
经济增长
作者
Teri A. Manolio,Robb Rowley,Marc S. Williams,Dan M. Roden,Geoffrey S. Ginsburg,Carol J. Bult,Rex L. Chisholm,Patricia A. Deverka,Howard L. McLeod,George A. Mensah,Mary V. Relling,Laura Lyman Rodriguez,Cecelia P. Tamburro,Eric D. Green
出处
期刊:The Lancet
[Elsevier BV]
日期:2019-08-01
卷期号:394 (10197): 511-520
被引量:69
标识
DOI:10.1016/s0140-6736(19)31140-7
摘要
Summary Advances in technologies for assessing genomic variation and an increasing understanding of the effects of genomic variants on health and disease are driving the transition of genomics from the research laboratory into clinical care. Genomic medicine, or the use of an individual's genomic information as part of their clinical care, is increasingly gaining acceptance in routine practice, including in assessing disease risk in individuals and their families, diagnosing rare and undiagnosed diseases, and improving drug safety and efficacy. We describe the major types and measurement tools of genomic variation that are currently of clinical importance, review approaches to interpreting genomic sequence variants, identify publicly available tools and resources for genomic test interpretation, and discuss several key barriers in using genomic information in routine clinical practice.
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