Online-Ressource | |
Verfasst von: | Hammouda, Omar [VerfasserIn] |
Wu, Meng Yue [VerfasserIn] | |
Kaul, Verena [VerfasserIn] | |
Gierten, Jakob [VerfasserIn] | |
Thumberger, Thomas [VerfasserIn] | |
Wittbrodt, Joachim [VerfasserIn] | |
Titel: | In vivo identification and validation of novel potential predictors for human cardiovascular diseases |
Verf.angabe: | Omar T. Hammouda, Meng Yue Wu, Verena Kaul, Jakob Gierten, Thomas Thumberger, Joachim Wittbrodt |
E-Jahr: | 2021 |
Jahr: | December 17, 2021 |
Umfang: | 20 S. |
Fussnoten: | Gesehen am 16.03.2022 |
Titel Quelle: | Enthalten in: PLOS ONE |
Ort Quelle: | San Francisco, California, US : PLOS, 2006 |
Jahr Quelle: | 2021 |
Band/Heft Quelle: | 16(2021), 12, Artikel-ID e0261572, Seite 1-20 |
ISSN Quelle: | 1932-6203 |
Abstract: | Genetics crucially contributes to cardiovascular diseases (CVDs), the global leading cause of death. Since the majority of CVDs can be prevented by early intervention there is a high demand for the identification of predictive causative genes. While genome wide association studies (GWAS) correlate genes and CVDs after diagnosis and provide a valuable resource for such causative candidate genes, often preferentially those with previously known or suspected function are addressed further. To tackle the unaddressed blind spot of understudied genes, we particularly focused on the validation of human heart phenotype-associated GWAS candidates with little or no apparent connection to cardiac function. Building on the conservation of basic heart function and underlying genetics from fish to human we combined CRISPR/Cas9 genome editing of the orthologs of human GWAS candidates in isogenic medaka with automated high-throughput heart rate analysis. Our functional analyses of understudied human candidates uncovered a prominent fraction of heart rate associated genes from adult human patients impacting on the heart rate in embryonic medaka already in the injected generation. Following this pipeline, we identified 16 GWAS candidates with potential diagnostic and predictive power for human CVDs. |
DOI: | doi:10.1371/journal.pone.0261572 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt. Volltext ; Verlag: https://doi.org/10.1371/journal.pone.0261572 |
Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261572 | |
DOI: https://doi.org/10.1371/journal.pone.0261572 | |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Arrhythmia |
Cardiovascular diseases | |
Cardiovascular physiology | |
Embryos | |
Genome-wide association studies | |
Heart | |
Heart rate | |
Phenotypes | |
K10plus-PPN: | 1795755342 |
Verknüpfungen: | → Zeitschrift |