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Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits
Genetic association studies have identified hundreds of independent signals associated with type 2 diabetes (T2D) and related traits. Despite these successes, the identification of specific causal variants underlying a genetic association signal remains challenging. In this study, we describe a deep...
Autores principales: | Hudaiberdiev, Sanjarbek, Taylor, D. Leland, Song, Wei, Narisu, Narisu, Bhuiyan, Redwan M., Taylor, Henry J., Tang, Xuming, Yan, Tingfen, Swift, Amy J., Bonnycastle, Lori L., Consortium, DIAMANTE, Chen, Shuibing, Stitzel, Michael L., Erdos, Michael R., Ovcharenko, Ivan, Collins, Francis S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469333/ https://www.ncbi.nlm.nih.gov/pubmed/37603758 http://dx.doi.org/10.1073/pnas.2206612120 |
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