Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR.
Genome-wide association studies (GWAS) have identified thousands of genetic variants that are associated with complex traits. However, a stringent significance threshold is required to identify robust genetic associations. Leveraging relevant auxiliary covariates has the potential to boost statistic...
Guardado en:
Autores principales: | Anna Hutchinson, Guillermo Reales, Thomas Willis, Chris Wallace |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/93eb8dbb93eb4685b6d8293ba0b38246 |
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