冠状动脉疾病的数字标记

IF 39.1 1区生物学 Q1 GENETICS & HEREDITY

Nature Reviews Genetics Pub Date : 2024-06-24 DOI:10.1038/s41576-024-00755-5

Linda Koch

引用次数: 0

摘要

Petrazzini 等人利用外显子组测序数据和基于机器学习的新型标记来识别与冠状动脉疾病相关的罕见和超罕见编码变异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A digital marker for coronary artery disease

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A digital marker for coronary artery disease

Petrazzini et al. leverage exome sequencing data and a novel machine learning-based marker to identify rare and ultra-rare coding variants associated with coronary artery disease.

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来源期刊

Nature Reviews Genetics 生物-遗传学

CiteScore

57.40

自引率

0.50%

发文量

113

审稿时长

6-12 weeks

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