Computational in silico genetic variant prediction tools in cardiovascular disease-Reference-Cited by-同舟云学术

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Computational in silico genetic variant prediction tools in cardiovascular disease

Published:2023-08-21 Issue:5 Volume:28 Page:
ISSN:1082-720X
Container-title:Annals of Noninvasive Electrocardiology
language:en
Short-container-title:Noninvasive Electrocardiol

Author:

Hellwig Lydia D.¹²³^ORCID,Villar Joaquin¹²³,Turner Clesson⁴

Affiliation:

1. The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda Maryland USA

2. Center for Military Precision Health Uniformed Services University of the Health Sciences Bethesda Maryland USA

3. Department of Pediatrics Uniformed Services University of the Health Sciences Bethesda Maryland USA

4. Center for Precision Health Research, National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA

Publisher

Wiley

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/anec.13079

Reference12 articles.

1. Distinguishing Variant Pathogenicity From Genetic Diagnosis

2. Role of Genetic Testing in Inherited Cardiovascular Disease

3. Congenital long QT syndrome: a clinician's guide

4. Opportunities and challenges for the computational interpretation of rare variation in clinically important genes

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