Rare coding variant analysis for human diseases across biobanks and ancestries

Large-scale sequencing has enabled unparalleled opportunities to investigate the role of rare coding variation in human phenotypic variability. Here, we present a pan-ancestry analysis of sequencing data from three large biobanks, including the All of Us research program. Using mixed-effects models,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Nature genetics 2024-09, Vol.56 (9), p.1811-1820
Hauptverfasser:	Jurgens, Sean J., Wang, Xin, Choi, Seung Hoan, Weng, Lu-Chen, Koyama, Satoshi, Pirruccello, James P., Nguyen, Trang, Smadbeck, Patrick, Jang, Dongkeun, Chaffin, Mark, Walsh, Roddy, Roselli, Carolina, Elliott, Amanda L., Wijdeveld, Leonoor F. J. M., Biddinger, Kiran J., Kany, Shinwan, Rämö, Joel T., Natarajan, Pradeep, Aragam, Krishna G., Flannick, Jason, Burtt, Noël P., Bezzina, Connie R., Lubitz, Steven A., Lunetta, Kathryn L., Ellinor, Patrick T.
Format:	Artikel
Sprache:	eng
Schlagworte:	45/43 631/208/205 631/208/514/1948 692/699 Agriculture Animal Genetics and Genomics Biobanks Biological Specimen Banks Biomedical and Life Sciences Biomedicine Cancer Research Datasets Disease Disease - genetics Electronic health records Gene Function Genes Genetic analysis Genetic Predisposition to Disease Genetic variability Genetic Variation Genome-Wide Association Study Human Genetics Humans Inclusion Mental disorders Meta-analysis Phenotypic variations Rare diseases Sensitivity analysis Statistics White People - genetics
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!