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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...
Autores principales: | Foley, Christopher N., Staley, James R., Breen, Philip G., Sun, Benjamin B., Kirk, Paul D. W., Burgess, Stephen, Howson, Joanna M. M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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