Genetic association analysis of 77,539 genomes reveals rare disease etiologies

The genetic etiologies of more than half of rare diseases remain unknown. Standardized genome sequencing and phenotyping of large patient cohorts provide an opportunity for discovering the unknown etiologies, but this depends on efficient and powerful analytical methods. We built a compact database,...

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Detalles Bibliográficos
Autores principales: Greene, Daniel, Pirri, Daniela, Frudd, Karen, Sackey, Ege, Al-Owain, Mohammed, Giese, Arnaud P. J., Ramzan, Khushnooda, Riaz, Sehar, Yamanaka, Itaru, Boeckx, Nele, Thys, Chantal, Gelb, Bruce D., Brennan, Paul, Hartill, Verity, Harvengt, Julie, Kosho, Tomoki, Mansour, Sahar, Masuno, Mitsuo, Ohata, Takako, Stewart, Helen, Taibah, Khalid, Turner, Claire L. S., Imtiaz, Faiqa, Riazuddin, Saima, Morisaki, Takayuki, Ostergaard, Pia, Loeys, Bart L., Morisaki, Hiroko, Ahmed, Zubair M., Birdsey, Graeme M., Freson, Kathleen, Mumford, Andrew, Turro, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033407/
https://www.ncbi.nlm.nih.gov/pubmed/36928819
http://dx.doi.org/10.1038/s41591-023-02211-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033407/
https://www.ncbi.nlm.nih.gov/pubmed/36928819
http://dx.doi.org/10.1038/s41591-023-02211-z

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