Tiffany Amariuta
Affiliations: | Biomedical Informatics | Harvard University, Cambridge, MA, United States |
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"Tiffany Amariuta"
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Tegtmeyer M, Arora J, Asgari S, et al. (2024) High-dimensional phenotyping to define the genetic basis of cellular morphology. Nature Communications. 15: 347 |
Gupta A, Weinand K, Nathan A, et al. (2023) Dynamic regulatory elements in single-cell multimodal data implicate key immune cell states enriched for autoimmune disease heritability. Nature Genetics |
Strober BJ, Zhang MJ, Amariuta T, et al. (2023) Fine-mapping causal tissues and genes at disease-associated loci. Medrxiv : the Preprint Server For Health Sciences |
Ishigaki K, Sakaue S, Terao C, et al. (2022) Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. Nature Genetics |
Nathan A, Asgari S, Ishigaki K, et al. (2022) Single-cell eQTL models reveal dynamic T cell state dependence of disease loci. Nature |
Shi H, Gazal S, Kanai M, et al. (2021) Population-specific causal disease effect sizes in functionally important regions impacted by selection. Nature Communications. 12: 1098 |
Amariuta T, Ishigaki K, Sugishita H, et al. (2020) Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. Nature Genetics |
Ishigaki K, Akiyama M, Kanai M, et al. (2020) Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nature Genetics |
Gutierrez-Arcelus M, Baglaenko Y, Arora J, et al. (2020) Allele-specific expression changes dynamically during T cell activation in HLA and other autoimmune loci. Nature Genetics |
Kim SS, Dai C, Hormozdiari F, et al. (2019) Genes with High Network Connectivity Are Enriched for Disease Heritability. American Journal of Human Genetics. 105: 1302 |