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Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes.
Robertson CC, Inshaw JRJ, Onengut-Gumuscu S, Chen WM, Santa Cruz DF, Yang H, Cutler AJ, Crouch DJM, Farber E, Bridges SL Jr, Edberg JC, Kimberly RP, Buckner JH, Deloukas P, Divers J, Dabelea D, Lawrence JM, Marcovina S, Shah AS, Greenbaum CJ, Atkinson MA, Gregersen PK, Oksenberg JR, Pociot F, Rewers MJ, Steck AK, Dunger DB; Type 1 Diabetes Genetics Consortium; Wicker LS, Concannon P, Todd JA, Rich SS. Robertson CC, et al. Nat Genet. 2021 Jul;53(7):962-971. doi: 10.1038/s41588-021-00880-5. Epub 2021 Jun 14. Nat Genet. 2021. PMID: 34127860 Free PMC article.
tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing.
de la Fuente L, Arzalluz-Luque Á, Tardáguila M, Del Risco H, Martí C, Tarazona S, Salguero P, Scott R, Lerma A, Alastrue-Agudo A, Bonilla P, Newman JRB, Kosugi S, McIntyre LM, Moreno-Manzano V, Conesa A. de la Fuente L, et al. Genome Biol. 2020 May 18;21(1):119. doi: 10.1186/s13059-020-02028-w. Genome Biol. 2020. PMID: 32423416 Free PMC article.
Genetics of Type 1 Diabetes Comes of Age.
Redondo MJ, Concannon P. Redondo MJ, et al. Diabetes Care. 2020 Jan;43(1):16-18. doi: 10.2337/dci19-0049. Diabetes Care. 2020. PMID: 31862821 Free PMC article. No abstract available.