Cargando…
Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations
We introduce pleiotropic association test (PAT) for joint analysis of multiple traits using genome-wide association study (GWAS) summary statistics. The method utilizes the decomposition of phenotypic covariation into genetic and environmental components to create a likelihood ratio test statistic f...
Autores principales: | Taraszka, Kodi, Zaitlen, Noah, Eskin, Eleazar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671458/ https://www.ncbi.nlm.nih.gov/pubmed/36342933 http://dx.doi.org/10.1371/journal.pgen.1010447 |
Ejemplares similares
-
Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits
por: Chun, Sung, et al.
Publicado: (2022) -
Interpreting Meta-Analyses of Genome-Wide Association Studies
por: Han, Buhm, et al.
Publicado: (2012) -
Finding associated variants in genome-wide association studies on multiple traits
por: Gai, Lisa, et al.
Publicado: (2018) -
Constructing germline research cohorts from the discarded reads of clinical tumor sequences
por: Gusev, Alexander, et al.
Publicado: (2021) -
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies
por: Yang, Yi, et al.
Publicado: (2018)