A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over...

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Detalles Bibliográficos
Autores principales: Li, Xihao, Chen, Han, Selvaraj, Margaret Sunitha, Van Buren, Eric, Zhou, Hufeng, Wang, Yuxuan, Sun, Ryan, McCaw, Zachary R., Yu, Zhi, Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Brody, Jennifer A., Cade, Brian E., Carson, April P., Carlson, Jenna C., Chami, Nathalie, Chen, Yii-Der Ida, Curran, Joanne E., de Vries, Paul S., Fornage, Myriam, Franceschini, Nora, Freedman, Barry I., Gu, Charles, Heard-Costa, Nancy L., He, Jiang, Hou, Lifang, Hung, Yi-Jen, Irvin, Marguerite R., Kaplan, Robert C., Kardia, Sharon L.R., Kelly, Tanika, Konigsberg, Iain, Kooperberg, Charles, Kral, Brian G., Li, Changwei, Loos, Ruth J.F., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., Palmer, Nicholette D., Peyser, Patricia A., Psaty, Bruce M., Raffield, Laura M., Redline, Susan, Reiner, Alexander P., Rich, Stephen S., Sitlani, Colleen M., Smith, Jennifer A., Taylor, Kent D., Tiwari, Hemant, Vasan, Ramachandran S., Wang, Zhe, Yanek, Lisa R., Yu, Bing, Rice, Kenneth M., Rotter, Jerome I., Peloso, Gina M., Natarajan, Pradeep, Li, Zilin, Liu, Zhonghua, Lin, Xihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634938/
https://www.ncbi.nlm.nih.gov/pubmed/37961350
http://dx.doi.org/10.1101/2023.10.30.564764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634938/
https://www.ncbi.nlm.nih.gov/pubmed/37961350
http://dx.doi.org/10.1101/2023.10.30.564764

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