A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

Genome-wide association studies (GWAS) have identified thousands of genomic regions affecting complex diseases. The next challenge is to elucidate the causal genes and mechanisms involved. One approach is to use statistical colocalization to assess shared genetic aetiology across multiple related tr...

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Detalles Bibliográficos
Autores principales: Foley, Christopher N., Staley, James R., Breen, Philip G., Sun, Benjamin B., Kirk, Paul D. W., Burgess, Stephen, Howson, Joanna M. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858636/
https://www.ncbi.nlm.nih.gov/pubmed/33536417
http://dx.doi.org/10.1038/s41467-020-20885-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858636/
https://www.ncbi.nlm.nih.gov/pubmed/33536417
http://dx.doi.org/10.1038/s41467-020-20885-8

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