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CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation.
Genetics in Medicine ( IF 8.8 ) Pub Date : 2018-10-01 , DOI: 10.1038/gim.2017.258
Nicola Whiffin 1, 2, 3 , Roddy Walsh 1, 2 , Risha Govind 1, 2 , Matthew Edwards 4 , Mian Ahmad 1, 2 , Xiaolei Zhang 1, 2 , Upasana Tayal 1, 2 , Rachel Buchan 1, 2 , William Midwinter 1, 2 , Alicja E Wilk 1, 2 , Hanna Najgebauer 1, 2 , Catherine Francis 1, 2 , Sam Wilkinson 4 , Thomas Monk 4 , Laura Brett 4 , Declan P O'Regan 3 , Sanjay K Prasad 1, 2 , Deborah J Morris-Rosendahl 1, 4 , Paul J R Barton 1, 2 , Elizabeth Edwards 1, 2 , James S Ware 1, 2, 3 , Stuart A Cook 1, 2, 5, 6
Affiliation  

Internationally adopted variant interpretation guidelines from the American College of Medical Genetics and Genomics (ACMG) are generic and require disease-specific refinement. Here we developed CardioClassifier ( http://www.cardioclassifier.org ), a semiautomated decision-support tool for inherited cardiac conditions (ICCs).

中文翻译:

CardioClassifier:用于临床基因组解释的疾病和基因特异性计算决策支持。

美国医学遗传学和基因组学学院 (ACMG) 国际上采用的变异解释指南是通用的,需要针对特定​​疾病进行细化。在这里,我们开发了 CardioClassifier (http://www.cardioclassifier.org),这是一种用于遗传性心脏病 (ICC) 的半自动决策支持工具。
更新日期:2018-01-26
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