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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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Ryanodine Receptor Type 2 Associated Catecholaminergic Polymorphic Ventricular Tachycardia Variants Dataset

Authors: Chang, Alexander; Beqaj, Halil; Sittenfeld, Leah; Miotto, Marco C.; Dridi, Haikel; Willson, Gloria; Martinez Jorge, Carolyn; +8 Authors

Ryanodine Receptor Type 2 Associated Catecholaminergic Polymorphic Ventricular Tachycardia Variants Dataset

Abstract

Location of RYR2 Associated CPVT Variants Dataset Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare inherited arrhythmia caused by pathogenic RYR2 variants. CPVT is characterized by exercise/stress-induced syncope and cardiac arrest in the absence of resting ECG and structural cardiac abnormalities. Here, we present a database collected from 221 clinical papers, published from 2001-October 2020, about CPVT associated RYR2 variants. 1342 patients, both with and without CPVT, with RYR2 variants are in the database. There are a total of 964 CPVT patients or suspected CPVT patients in the database. The database includes information regarding genetic diagnosis, location of the RYR2 variant(s), clinical history and presentation, and treatment strategies for each patient. Patients will have a varying depth of information in each of the provided fields. Database website: https://cpvtdb.port5000.com/ Dataset Information This dataset includes: all_data.xlsx Tabular version of the database Most relevant tables in the PostgreSQL database regarding patient sex, conditions, treatments, family history, and variant information were joined to create this database Views calculating the affected RYR2 exons, domains and subdomains have been joined to patient information m-n tables for patient's conditions and treatments have been converted to pivot tables - every condition and treatment that has at least 1 person with that condition or treatment is a column. NOTE: This was created using a LEFT JOIN of individuals and individual_variants tables. Individuals with more than 1 recorded variant will be listed on multiple rows. There is only 1 patient in this database with multiple recorded variants (all intronic) 20241219-dd040736b518.sql.gz PostgreSQL database dump Expands to about 200MB after loading the database dump The database includes two schemas: public: Includes all information in patients and variants Also includes all RYR2 variants in ClinVar uta: Contains the rows from biocommons/uta database required to make the hgvs Python package validate RYR2 variants See https://github.com/biocommons/uta for more information NOTE: It is recommended to use this version of the database only for development or analysis purposes database_tables.pdf Contains information on most of the database tables and columns in the public schema 00_globals.sql Required to load the PostgreSQL database dump How To Load Database Using Docker First, download the `00_globals.sql` and `_.gz.sql` file and move it into a directory. The default postgres image will load files from the `/docker-entrypoint-initdb.d` directory if the database is empty. See Docker Hub for more information. Mount the directory with the files into the `/docker-entrypoint-initdb.d`. Example using docker compose with pgadmin and a volume to persist the data. # Use postgres/example user/password credentials volumes: mydatabasevolume: null services: db: image: postgres:16 restart: always environment: POSTGRES_PASSWORD: mysecretpassword POSTGRES_USER: postgres volumes: - ':/docker-entrypoint-initdb.d/' - 'mydatabasevolume:/var/lib/postgresql/data' ports: - 5432:5432 pgadmin: image: dpage/pgadmin4 environment: PGADMIN_DEFAULT_EMAIL: user@domain.com PGADMIN_DEFAULT_PASSWORD: SuperSecret ports: - 8080:80 Analysis Code See https://github.com/alexdaiii/cpvt_database_analysis for source code to create the xlsx file and analysis of the data. Changelist v0.3.0 Removed inasscessable publications Updated publications tgo include information on what type of publication it is (e.g. Original Article, Abstract, Review, etc) v0.2.1 Updated all_patients.xlsx -> all_data.xlsx Corrected how the data from all the patient's conditions, diseases, treatments, and the patients' variants tables are joined

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Keywords

Cardiovascular diseases, calcium, FOS: Biological sciences, CPVT, Mutation, Genetics, RYR2, calcium channel, heart disease, heart, clinical

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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