Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk

Type 1 diabetes (T1D) etiology is complex. We developed a machine learning approach that ranked the tissue-specific transcription regulatory effects for T1D SNPs and estimated their relative contributions to conversion to T1D by integrating case and control genotypes (Wellcome Trust Case Control Con...

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Detalles Bibliográficos
Autores principales: Ho, Daniel, Nyaga, Denis M., Schierding, William, Saffery, Richard, Perry, Jo K., Taylor, John A., Vickers, Mark H., Kempa-Liehr, Andreas W., O’Sullivan, Justin 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/PMC8440780/
https://www.ncbi.nlm.nih.gov/pubmed/34521982
http://dx.doi.org/10.1038/s42003-021-02594-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440780/
https://www.ncbi.nlm.nih.gov/pubmed/34521982
http://dx.doi.org/10.1038/s42003-021-02594-0

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