Kyle J. Gaulton, Ph.D.
Affiliations: | 2010 | Genetics & Molecular Biology | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Genetics, Bioinformatics BiologyGoogle:
"Kyle Gaulton"Parents
Sign in to add mentorKaren L. Mohlke | grad student | 2010 | UNC Chapel Hill | |
(Candidate-based approaches to identify genetic variation influencing type 2 diabetes and quantitative traits.) |
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Publications
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Smith K, Deutsch AJ, McGrail C, et al. (2024) Multi-ancestry polygenic mechanisms of type 2 diabetes. Nature Medicine |
McGrail C, Chiou J, Elgamal R, et al. (2023) Genetic discovery and risk prediction for type 1 diabetes in individuals without high-risk HLA-DR3/DR4 haplotypes. Medrxiv : the Preprint Server For Health Sciences |
Smith K, Deutsch AJ, McGrail C, et al. (2023) Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity. Research Square |
Smith K, Deutsch AJ, McGrail C, et al. (2023) Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity. Medrxiv : the Preprint Server For Health Sciences |
Kudtarkar P, Costanzo MC, Sun Y, et al. (2023) Leveraging type 1 diabetes human genetic and genomic data in the T1D knowledge portal. Plos Biology. 21: e3002233 |
Benaglio P, Newsome J, Han JY, et al. (2023) Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood. Plos Genetics. 19: e1010759 |
Gaulton KJ, Preissl S, Ren B. (2023) Interpreting non-coding disease-associated human variants using single-cell epigenomics. Nature Reviews. Genetics |
Costanzo MC, von Grotthuss M, Massung J, et al. (2023) The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits. Cell Metabolism |
Kudtarkar P, Costanzo MC, Sun Y, et al. (2023) Leveraging type 1 diabetes human genetic and genomic data in the T1D Knowledge Portal. Biorxiv : the Preprint Server For Biology |
Mahajan A, Spracklen CN, Zhang W, et al. (2022) Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nature Genetics |